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    20 March 2022, Volume 43 Issue 3 Previous Issue    Next Issue

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    The synergistic evolution and effects of the science and technology innovation policies in China from 2006 to 2018
    Li Dongqin
    2022, 43(3): 1-8. 
    Abstract ( 461 )  
       Since 2006, the system of China′s science and technology Innovation Policy has been changed profoundly with the intense promulgation of the policies to spur science and technology innovation,among which,the national-level plans, strategies,programs and measures, such as the National Medium and Long-Term Science and Technology Development Plan (2006-2020), the Outline of the National Strategy of Innovation-driven Development,the measures to vigorously promote mass entrepreneurship and innovation, are of great importance. However so far there have been few very recent attempts at comprehensive research in understanding China′s science and technology innovation policies (2006~2018). This study will fill the gap by quantitatively analyzing the evolution of China′s science and technology innovation policies issued from 2006 to 2018 and examining the nexus between the aforementioned policies and China′s innovation performance.In this study, the main valid science and technology innovation policies issued by the central state ministries and commissions are collected and then analyzed on the basis of previous research to evaluate the strength, enforcement and synergy of these policies quantitatively. The evolvements of the synergy and the total efficacy of these policies are dissected and depicted since 2006. The production function model is established and then the ridge regression is applied to examine the relationship between the traits of science and technology innovation policies, from which the following conclusions can be inferred. As a first consequence, the synergy of China′s science and technology innovation policies from 2006 to 2018 is rising significantly with the improvement of the policy-making cooperation among the ministries and commissions under the State Council and the growth of the policies issued by two or more departments. Currently the cooperation of the policymakers regarding the science and technology innovation policies is associated closely with the Ministry of Science and Technology, the Ministry of Finance, the National Development and Reform Commission, the Ministry of Education and the Ministry of Industry and Information Technology. It is a common consensus in China that the national ministries and commissions should take coordinated policy action to promote the science and technology innovation.The second conclusion is that the efficacy of China′s science and technology innovation policies is growing markedly since 2006 along with the increase of the strength of the innovation policies, the comprehensive application of various policy instruments, the policy making cooperation among national departments and the improvement of the policies′ implementation efforts. The efficacy of these policies is underlined by the recent performance of the science and technology innovation in China. Finally, it is confirmed empirically by ridge regression that the science and technology innovation policies have significantly positive effects on the science and technology innovation performance. Meanwhile, differences are observed among various traits of the science and technology innovation policies in their influences on the outcome of innovation. Due to a very great portion of applied research, the major science and technology achievements are most closely affected by the enforceability of the science and technology innovation policy. More major achievements can be produced with a clear and specific orientation stated in the science and technology innovation policies. The enhancement of the synergy of science and technology innovation policy can be conductive to the growth of the invention patent grants, therefore to obtain more independent intellectual property, the policymakers should cooperate more to improve the synergy of the science and technology innovation policy. The sales revenues of new products are mainly influenced by the strength,enforcement and synergy of the science and technology innovation policy so that it is necessary to integrate the three aspects, that is, efficacy, synergy and clarity of the policy, to promote the sales growth of new products.
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    How does fiscal science and technology policy affect the efficiency of enterprise innovation-driven development?
    Zheng Wei, Lu Yuanquan
    2022, 43(3): 9-16. 
    Abstract ( 259 )  
       Enterprise innovation-driven development is an important support for improving social productivity and comprehensive national strength. The successful implementation of national innovation-driven development strategies depends not only on the continuous growth of enterprise innovation investment, but also on the improvement of the efficiency of innovation resource utilization in the process of enterprise innovation-driven development. Fiscal science and technology policy, as an important guarantee for the efficient operation of an enterprise′s innovation system, is an important engine for realizing enterprise′s innovation-driven development. While maintaining the rapid growth of financial investment in science and technology, has the fiscal science and technology policy improved the quality of innovation and the efficiency of innovation-driven development? How does fiscal technology policy affect the efficiency of enterprise innovation-driven development? In order to answer the above questions, this paper uses panel data of industrial enterprises in China at the industry level from 2009 to 2016 to empirically test the impact of fiscal science and technology policy on the efficiency of enterprise innovation-driven development, and explore the path through which fiscal science and technology policy mainly affect enterprise innovation-driven development. The specific research conclusions are as follows:First of all, fiscal science and technology policy has promoted the improvement of enterprise innovation-driven development efficiency, and this effect has obvious industry heterogeneity. Judging from the industry-wide inspection results, no matter whether the FE method or the D &K method is adopted, fiscal science and technology policy is conducive to improving the efficiency of enterprise innovation-driven development. From the perspective of resource and labor-intensive industries, although the impact coefficient of fiscal science and technology policy passed the significance level test in the FE method, it did not pass the significance level test after adopting the D&K method, indicating that the impact of fiscal science and technology policy on the efficiency of enterprise innovation-driven development is not significant. From the perspective of capital and technology-intensive industries, regardless of whether the FE method or the D&K method is used, the impact coefficient of fiscal science and technology policy is significantly positive, indicating that fiscal science and technology policies are conducive to improving the efficiency of enterprise innovation-driven development.Secondly, from the perspective of the role path, the promotion effect of fiscal science and technology policy on the efficiency of enterprise innovation-driven development is mainly achieved by improving the efficiency of technological research and development, rather than the efficiency of economic transformation. Judging from the inspection results of the entire industry, fiscal science and technology policy has significantly improved the efficiency of two stages of enterprise innovation-driven development, but fiscal science and technology policy has a stronger effect on the efficiency of technological research and development than economic transformation efficiency. Judging from the inspection results by industry, whether it is a resource and labor-intensive industry or a capital and technology-intensive industry, fiscal science and technology policy has a stronger effect on improving the efficiency of technological research and development than economic transformation efficiency. However, compared with the findings, fiscal science and technology policy in capital and technology-intensive industry has a stronger positive impact on the efficiency of the two stages of enterprise innovation-driven development.Thirdly, in the different thresholds of fiscal science and technology policy, the role of fiscal science and technology policy in promoting the efficiency of enterprise innovation-driven development shows a clear inverted "U" pattern. This paper uses fiscal science and technology policy as the threshold variable, and constructs a panel threshold model to empirically test the possible non-linear threshold relationship between fiscal science and technology policy and enterprise innovation-driven development efficiency. The research found that the impact of fiscal science and technology policy on the efficiency of enterprise innovation-driven development has a double-threshold effect based on fiscal science and technology policy. Finally, there are industry differences in the impact of different types of fiscal science and technology policy on the efficiency of enterprise innovation-driven development. This paper empirically tests the impact of different types of fiscal science and technology policy on the efficiency of enterprise innovation-driven development and their differences. From the inspection results of resource and labor-intensive industry, direct government subsidies have significantly improved the efficiency of enterprise innovation-driven development, while the estimated coefficients of direct tax benefits and indirect tax benefits have not passed the significance level test. From the test results of capital and technology-intensive industry, direct government subsidies have a stronger promotion effect on enterprise innovation-driven development efficiency than direct tax incentives, while indirect tax incentives are relatively weak.This article mainly proposes policy suggestions to promote the improvement of enterprises innovation-driven development efficiency from the following aspects: First of all, fiscal science and technology policy should adopt policy incentives that take into account industry coordination and appropriate incentive levels. Secondly, it is necessary to clarify the priorities of fiscal science and technology policy incentives to meet the innovation needs of enterprises at different stages. Finally, strengthen the enterprises′ own capacity building and stimulate the enthusiasm for innovation.
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    Government subsidy and the performance of new energy enterprises: A study from the perspective of heterogeneity and time lag
    Liu Manzhi, Du Mingwei, Liu Xianxian
    2022, 43(3): 17-26. 
    Abstract ( 314 )  
       New energy enterprises is the deep integration of new industry and new technology, which need to promote firm performance by continuing R&D investment to maintain core competitiveness under the background of fast technology update speed. R&D innovation is an important means to break the technological bottleneck and improve the competitiveness, but the public nature of R&D activities makes enterprises bear all the R&D costs, but not all the R&D benefits. Given the volatility of innovation activities and the need for sustained and stable long-term investment to break technological bottlenecks, government intervention and necessary support are needed to correct market failures in the innovation process. Government subsidies, as the main source of enterprise R&D funds, are the most common incentive measures, especially in the capital-intensive and technology-intensive new energy industries. Government subsidy is the key factor that drives enterprises to carry out R&D activities.At present, China government subsidizes the new energy enterprises heavily, but there is a gap between the intensity of our enterprises′ R&D investment and the international standards. Therefore, based on the panel data of new energy listed enterprises from 2012 to 2016, a fixed-effect model is used to explore the relationship between government subsidy, R&D investment and firm performance, and reveal the intermediary mechanism of R&D investment. Furthermore, group regression analysis was conducted to analyze the difference of the effect of government subsidies on firm performance under different enterprise nature and regional characteristics. The results show that government subsidy has a positive effect on R&D investment, especially in the eastern coastal area (vs. non-eastern coastal area) and non-state-owned enterprises (vs. state-owned enterprises). Current and delayed R&D investment has a positive effect on firm performance, especially in non-state-owned enterprises (vs. state-owned enterprises) .The government subsidy in the current period and the 1st lag period has the promotion effect to the enterprise performance, and passes through the intermediary function of the R&D investment completely.With the rapid development of new energy enterprises, government subsidies can provide additional R&D funds for enterprises, but the utilization rate and effect of subsidies are different in different market environments and enterprise systems. How to screen and select high-quality enterprises to give policy support so that achieve the optimal allocation of resources has become the core issue that policy makers focus on.Based on the above conclusions, this article put forward relevant policy recommendations for the government and firm respectively.For the government, first of all, government should refine the supporting policies for subsidies, stand by them from various aspects such as taxation, laws and research personnel, increase the subsidy policies for the eastern coastal areas and non-state-owned enterprises, and formulate supporting policies to stimulate state-owned enterprises to increase their R&D enthusiasm so as to improve the efficiency of R&D subsidy in state-owned enterprises. Secondly, government should optimize the external business environment of new energy enterprises, perfect the financing channels of enterprises, realize the best allocation of market resources, strengthen the supervision of subsidy after it enters the enterprises, increase the transparency of subsidy, and reduce the rent-seeking behavior of enterprises. Finally, government should strengthen the policy guidance and innovation incentive, construct the performance evaluation system to enhance the enterprise′s independent innovation consciousness, and stimulate its R&D investment to keep the new energy market healthy development.For the enterprises, as the main body of innovation, new energy enterprises should make full use of government subsidies to maintain the stable development and performance improvement of enterprises. First of all, enterprises should strive for government subsidies and increase R&D investment, especially the midwestern enterprises and non-state-owned firms, make full use of existing resources to increase R&D investment intensity, and promote enterprises′ own performance. Secondly, enterprises should pay attention to the efficiency of R&D output while increase R&D input, especially the state-owned new energy enterprises. The state-owned firms should optimize the budget cost management and personnel administration management in the R&D process to maximize the efficiency of R&D subsidy utilization. Finally, new energy enterprises should strive for government subsidy to alleviate their R&D pressure and achieve innovation output with the help of existing R&D resources, so as to improve their performance effectively.The innovation points are as follows: Firstly, on the basis of considering the time lag effect, the paper empirically analyzes the path of government subsidy to enterprise performance, and expands the related literature of government subsidy and enterprise R&D behavior in the field of new energy. Secondly, it further reveals the effect boundary of firm and regional heterogeneity on its mechanism, which provides a new theoretical basis for this problem. Thirdly, it′s different from previous studies which focused on innovation performance and financial performance, this paper selects the rate of growth of operating income to measure the performance of enterprises, so as to better reflect the growth ability and development ability of new energy enterprises. The conclusion of this study is more pertinent to the actual situation of the new energy enterprises in which the technology is updated quickly.
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    A policiometric analysis of the innovative talents cultivation policies in the Chinese context
    Dai Xinling, Peng Xiaobing, Wang Jinglei
    2022, 43(3): 27-36. 
    Abstract ( 220 )  
    In the context of increasing international technological constraints and unbalanced supply and demand of domestic innovative talents, the optimization of innovative talents cultivation policies has become the prerequisite and foundation for achieving high-quality economic growth. Based on the Chinese context, this paper has adopted a policiometric approach to sort out the current status and problems of China′s innovative talents cultivation policy from 1996 to 2019, and put forward suggestions on improving relevant policies. According to the research findings, the Chinese government has been putting greater emphasis on the supportive policy for cultivating innovative talents year by year, and relevant policies have evolved through three different stages: "undertaken wholly by the government - highly centralized management by the government-leadership role taken by the government". In addition, Chinese government′s policies on cultivating innovative talents have been characterized by the gradual downgrading of government levels engaged in relevant policy-making, uneven distribution of policies in different parts of China, integrated implementation of various types of policies, and initial formation of a collaboration framework of various policy-makers. Moreover, several features stand out in terms of policy content, which includes the focus on talents at the mid-and-lower end of the innovation value chain, a greater number of supply-based policy tools as compared with environmental policy tools and demand-based policy tools, the combination of both centralized and decentralized management with high discretionary power given to individual official or expert, and a relatively formalized talents examination and evaluation system which has broken free from the traditional mechanism with excessive emphasis on the education background and qualifications of talents. However, there are still some flaws in China′s innovative talents cultivation policies, such as the lack of foresight, poor coordination, weak guiding effect, and deficiencies in standardization and functionality, which have given rise to a number of problems including the failure of identifying the ideal cultivation object and imbalance in the talents cultivation structure, low efficiency of policy tools, and lack of both specialization and authenticity in the examination and assessment results that are used to select talents. In addition, a prominent problem has emerged during the process of policy resource allocation, where the entities in urgent need of policy resources found it hard to gain support, while entities with abundant resources were given easy access to even more policy supports. In view of these problems, an overhaul of relevant policies requires a change in the mindset and a shift of focus from skills to academic study and scientific research. Moreover, the government should provide stronger support for fundamental researches and ramp up the adoption of supply policy tools while applying necessary regulations and constraints. On top of that, the government should reinforce the measures to better protect the intellectual property, roll out protective demand policies and economic cushion policies to provide fallback for business owners in times of difficulty, and facilitate the transformation of government functions from leading the people to guiding the people. This paper has filled in the gap in the current researches for its contribution in the following aspects: comprehensive study of China′s overall innovative talents cultivation policy system, quantitative analysis of these policies, and review of these policies in the Chinese context.
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    "Good" and "Bad" uncertainty and intensity of enterprises′ R&D investment
    Liu Fenggen, Zhi Shouyang, Zhang Min, Yan Jianjun
    2022, 43(3): 37-45. 
    Abstract ( 197 )  
    Research and development (R&D) investment is not only the key for enterprises to improve their core competitiveness, but also an important measure for China to solve the "strangle" problem and achieve an innovative national strategy. For a long time, the central and local governments attach great importance to the enterprise R&D behavior encouragement and guidance, especially for the implementation of the national innovation strategies in recent years, such as "innovation driven", "intelligent manufacturing", "public entrepreneurship, peoples innovation". Government subsidies for enterprises research and tax incentive policy is gradually systematized and institutionalized, which effectively promotes the growth of R&D investment. However, with China′s economy entering the stage of "new normal" development after 2013, macroeconomic uncertainties have increased significantly, but the growth rate of R&D investment intensity has slowed down, revealing the importance of macroeconomic cycle fluctuations on R&D investment intensity.Academic circles apply political uncertainty, economic policy uncertainty and observed volatility of specific companies or markets as alternative variables to conduct extensive research on the impact of economic uncertainty on R&D investment. Considering that the economic uncertainty in a specific period is "good" and "bad", and "good" and "bad" uncertainties should have different impact mechanisms on R&D investment. In this paper, the realized volatility, positive half-variance and negative half-variance of the realized volatility of China′s industrial added value growth rate are used to describe the macroeconomic uncertainty, "good uncertainty" and "bad uncertainty" respectively, and the annual data of China′s 1126 listed companies from 2009 to 2019 are selected to carry out panel regression. The influence mechanism and heterogeneity characteristics of economic uncertainty, "good" and "bad" uncertainty on firms′ R&D investment intensity are investigated.The conclusions of are as follows: First, macroeconomic uncertainty has a significant stimulating effect on firm′s R&D investment. "Good" economic uncertainty has a significant inhibiting effect on firm′s R&D investment, while "bad" economic uncertainty has a promoting effect on firm′s R&D investment. Financing constraint has a restraining effect on R&D investment of enterprises. Second, "good" economic uncertainty alleviates the restraining effect of financing which constraints on firm R&D investment, while "bad" economic uncertainty amplifies the restraining effect of financing constraints on firm R&D investment. Third, "bad" economic uncertainty has a significant effect on the R&D investment of state-owned enterprises, but not other enterprises; "good" economic uncertainty has no significant impact on R&D investment of high-tech enterprises, but has a significant positive effect on non-high-tech enterprises. "Bad" economic uncertainty has a significant impact on R&D investment of high-tech enterprises, but not non-high-tech enterprises. "Good" and "bad" uncertainties have no significant impact on R&D investment in the primary and tertiary industries. "Good" economic uncertainties have no impact on R&D investment in the secondary industry, and "bad" economic uncertainties and financing constraints have significant impact.This study has important implications for the implementation of China′s innovation development strategy. Firstly, in the context of structural slowdown of China′s economy, encouraging bottom-up socially driven innovation, stimulating the innovation consciousness of enterprises, encouraging enterprises to improve the research of products with intellectual property rights should be conducted to create brands and expand characteristic industries. Secondly, the incentive policy for scientific and technological research personnel needs to be perfected, and the enterprise research conditions and team construction should be strengthened. Finally, implementing relevant policies to encourage independent innovation of enterprises, conducting follow-up research on innovation support policies and constantly improving the long-term mechanism are of great importance to establish a technological innovation system with enterprises as the main body, the market as the guidance and the combination of production-learning-research.
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    Who drives the technology innovation of science and technology enterprises?
    Zhuang Yumei, Wang Li
    2022, 43(3): 46-54. 
    Abstract ( 259 )  
       The international competitive environment and the bottleneck of domestic technological development urgently require scientific and technological enterprises to make high-quality technological innovation achievements. The government firmly strengths the market function of innovative resources allocation, and at the same time, has invested lots of fiscal and tax resources to support and motivate the enterprise′s technology innovation. However, both practical and theoretical fields show the positive or negative incentive results. The literatures which studied the effects of fiscal and tax incentives from the perspective of institution alone had achieved the either-or conclusions, and could not explain the different incentive results in the same context. The net affecting test of fiscal and tax resources based on linear logic could not discover the interrelations of the multiple factors and the asymmetric causality. All these prevent us from obtaining the basic driving sources of technology innovation achievements. Enterprise is an active entity embedded in diversified environment, and there are large numbers of research findings on enterprise′s technological innovation in the theoretical fields. It is necessary to explain the choice of technological innovation strategy and R&D investing behavior of the enterprise influenced by multiple environmental factors, and use the other method to explore and test the implementation routes of technology innovation achievements.The technological innovation strategy of an enterprise is the result of comprehensive consideration of a variety of internal and external environmental factors by TMT with specific purpose and cognition. The three-dimensional basic view of strategy clarifies the factors affecting enterprise strategy comprehensively from the perspectives of industrial environment, institutional incentive and enterprise resources. Therefore, the paper analyzed the innovation strategy and R&D investment behavior under the influence of the competition and technology, fiscal and tax incentives, and enterprise resources from the three-dimensional strategy framework, explored the process mechanism of effective incentives to enterprise, and then interpreted the differential driving mechanism of technology innovation achievements depending on the interactional, coupling and configurational relations of the antecedent factors dominated by TMT′s purpose and cognition. Based on the process of analysis, the paper constructed the configurational research framework between the multiple antecedent factors with correlational and synergetic relation and the innovation achievements, and used fsQCA to test.The data are mainly from 2014 to 2019 of 289 small and medium-sized board scientific and technological manufacturing enterprises. The tested results show that: (1) Industrial competition and technology, government′s fiscal and tax resources and enterprise′s R&D resources drive high-quality technological innovation in a way of differential configurations; (2) The driving paths from the resource investors includes enterprise resource dominated, government & enterprise resource collaborated and government resource dominated. This finding reflects the different degree of dependence on government resources in technology innovation process of the different enterprise. (3) Compared with tax preference, fiscal subsidies have more incentive effect on technology innovation; Compared with market competition, the value of technological innovation is more attractive to high-tech innovation, which reflects the guiding role of the market in the allocation of enterprise′s innovation resources.The theoretical significance of the paper lies in two aspects. Firstly, searching for the source of the high-tech achievements from strategy perspective rather than single institution perspective. The paper explores and analyzes the behavior of innovation and R&D investment of the enterprise influenced by the factors of institution, industry and resources, thereby it can clarify the differentiation interactional, coupling and configurational relationship among the multiple factors dominated by the TMT. Secondly, using configurational logic rather than linear logic to find out the driving routes. The paper tests the model using fsQCA and obtains the equivalent configurational solutions which drive the technology innovation achievements and the differentiation effects of specific antecedent factors in different configurations such as fiscal or tax resources, etc. Finally, the research can help explain the differentiation innovation behavior of the enterprises in the same environment and the either-or research conclusion from the institutional perspective alone. The shortage of the research is that it has not contained more antecedent factors and has not reflected the dynamic changes of configurations caused by the time.The government must follow the principle of the multiple affecting effects which environmental factors such as market and institution affecting enterprise′s innovation behavior, and the enterprise′s regular behavior pattern under its decision-making mechanism. It should examine not only the explicit indicators such as patents and innovation project, but also the implicit indicators such as strategic motivation and innovation willingness of enterprises to optimize the allocation of fiscal and tax resources. It also should choose the appropriate incentive mode according to the urgency and long-term needs to technology innovation.
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    An analysis of the texts of China′s policies for S&T talents evaluation from the perspective of policy tool
    2022, 43(3): 55-62. 
    Abstract ( 271 )  
       In order to intensively study China′s policies for S&T talents evaluation, this paper starts from the perspective of policy tools, combines quantitative research with directional research and conducts a quantitative analysis of the policy text. This paper constructs a policy tool X-Y two-dimension analysis framework for S&T talents evaluation, namely. The X dimension adopts the classification method of policy tools proposed by Howlett and Ramesh. According to the classification standard for public goods and services provided by the government, this classification method of policy tools divides policy tools into compulsory instruments, mixed instruments and voluntary instruments. Based on the development stage of China′s policies for S&T  talents evaluation, the Y dimension divides the policy development into four stages: preliminary development stage, exploratory stage, continuous propulsion stage and strengthening implementation stage.The research process is as follows: first, China′s 13 policy texts of science and technology talents evaluation from 2006 to 2018 were collected and screened out, and they were adopted as the research samples. Then, a total of 345 policy tools for S&T  talents evaluation were extracted from the policy texts, and coded in the form of "policy text number-specific policy tool". Second, these policy tools were included in the X-Y two-dimension analysis framework, and classified, quantified and statistically analyzed in the X dimension according to the classification standards of policy tools. Third, these policy tools were classified, quantified and statistically analyzed in the Y dimension according to the developmental stage of China′s policies for S&T talents evaluation. Furthermore, combined quantitative research was conducted on the policy tools according to the classification standards of the X dimension and Y dimension. This study analyzes the evolution and combined use of China′s policies for S&T talents evaluation, so as to analyze the status quo and defects of the evaluation policies, and finally to provide policy suggestions to the optimization of the evaluation mechanism for S&T talents in China.The research results of this paper are as follows: First, among the policy tools for S&T talents evaluation in China, the usage rate of compulsory policy tools is the highest (53.62%), followed by mixed instruments (37.97%), and voluntary instruments are the least used (8.41%). Thus it can be seen that China′s policies for S&T talents evaluation are based on the government as the decision-making subject, and the participation degree of social decision-making subject is low. Meanwhile, the use structure of the policy tools is unbalanced, and there is a large gap in the use condition between various kinds of policy tools. Second, in the four developmental stages of China′s policies for S&T talents evaluation, the number of policy texts and the application amount of policy tools have been progressively increasing. This indicates that in the context of science and technology structural reform, the Chinese government attaches more importance to S&T talents evaluation. However, different types of policy tools have different development situations in these four stages, the difference in the internal structure of policy tools is large, and the synchronization is insufficient.Three suggestions are put forward for reference in this paper: first, when selecting policy tools, it is necessary to strengthen the balance and rationality between the instruments, moderately increase the utilization frequency of voluntary policy tools and endow social decision-making subject with appropriate decision-making power. In addition, the usage rate of marketing tools should be increased. Second, the pertinence of policy tools needs to be strengthened, and the classified evaluation system for S&T talents should be executed and improved. Third, great efforts should be made to solve the problem of "overemphasis on papers, academic degrees, professional titles and rewards". It is necessary to not only strictly regulate and put into practice the implementation details and steps of policies that have been introduced, but also increase the solution depth and scope of the problem of "overemphasis on papers, academic degrees, professional titles and rewards", thereby creating a favorable environment for purifying the atmosphere for S&T talents evaluation and promoting the development of S&T talents and innovations. The above strategies are proposed to improve the policy design, provide a reference for building a science and technology scientific research personnel team with true scientific research ability and innovation ability. 
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    A study of the influence factors of knowledge innovation performance of distinguished scholars in colleges and universities
    2022, 43(3): 63-71. 
    Abstract ( 220 )  
       With the development of knowledge economy becoming increasingly complicated and diversified, it is of vital significance to excavate key factors that influence scholars′ knowledge innovation performance to promote knowledge exchange, knowledge updating and innovation output among scholars. However, existing research mainly explores the complex relationship structure between the factors and innovation performance from the contingency perspective and studies the simple linear or nonlinear relationship between the variable and the innovation performance, failing to reveal the "black box" effect between variable and knowledge innovation performance and lacking systematic thought to consider the multi-level factors on the knowledge innovation performance of distinguished scholars. In order to better analyze the influencing factors of the knowledge innovation performance of distinguished scholars, this study attempts to solve the following questions: (1) how to sort out the driving factors of the knowledge innovation performance of distinguished scholars from multiple levels, and whether distinguished scholars can be divided into different groups according to the characteristic variables for focused analysis? (2) what is the complex relationship structure between internal characteristic variables of heterogeneous scholars and knowledge innovation performance, and what combination of characteristics can promote high-level knowledge innovation performance? (3) how should distinguished scholars reasonably allocate research cooperative resources and external environmental resources according to their own knowledge producing ability to improve the knowledge innovation performance? Therefore, taking data-driven knowledge innovation performance as the research objective, this paper explores characteristic factors that influence distinguished scholars to achieve high performance goals and excavates the nonlinear complex relationship structure in the rule path, laying a foundation for the implementation of well-designed performance incentive measures.Using machine learning method to study the influencing factors of knowledge innovation performance of distinguished scholars, this paper opens the "black box" of multi-level factors affecting knowledge innovation performance, and discloses the complex relationship between characteristic variables and knowledge innovation performance. With 1409 winners of the National Science Foundation for Distinguished Young Scholars and Excellent Young Scholars Published by the National Natural Science Foundation of China from 2016 to 2018 as research objects, 927 research co-author networks (individual networks) were constructed by using 14819 papers published on the Web of Science before the scholars obtained the projects. Considering the lag of knowledge innovation performance, 20824 papers published by scholars after obtaining the project and 91968 cited papers were adopted, and combined with multi-source heterogeneous data such as journal partition table published by National Science Library of Chinese Academy of Sciences, K-Means clustering was used to classify scholars into groups. Three types of heterogeneous scholar groups, namely characteristic equilibrium, environment driven and cooperative creation, are obtained, and the potential decision rules of knowledge innovation performance of different types of scholars are mined by decision tree CART algorithm. The results show that: (1) Knowledge producing is universal, and it is the key factor for different types of distinguished scholars to achieve high knowledge innovation performance; (2) Distinguished scholars should allocate research partnership resources according to internal and external conditions to avoid "diseconomies of scale" caused by closed development paths and too many coauthors. (3) In different groups of scholars, there are different combinations of characteristics that affect knowledge innovation performance, providing personalized development strategies for distinguished scholars to achieve high performance goals.Related research conclusions bring valuable management implications about how to promote high quality knowledge production: scholars with high knowledge producing ability has stronger inclusiveness on the number of partners and can also generate new ideas, new knowledge and new methods in the long-term and stable cooperation, so it is recommended that low knowledge creation ability scholars try to avoid close cooperation development path; while the administrative departments should avoid falling into the symmetric causal relationship between variables from a general perspective when promoting scholars′ scientific research cooperation, and rationally allocate the resources of scientific research cooperation according to the quality of academic environment and knowledge producing ability of scholars. In addition, some innovations have also been achieved through research. Cluster analysis and decision tree model are used to explore the influencing factors of knowledge innovation performance of distinguished scholars, and the characteristic indexes are measured based on literature to make up for the shortcomings of traditional regression analysis. Moreover, scholars with similar characteristics are divided into groups and specific categories are analyzed to make the research results more targeted.
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    The effect of S&T talent-attracting policies on the market value of high-tech enterprises
    Zhang Yan, Wu Fang
    2022, 43(3): 72-78. 
    Abstract ( 185 )  
         Recently, a new wave of S&T talents scramble battles has been started in many Chinese cities. They formulated different kinds of favorable policies to attract S&T talents with either high degree or high skill from home and abroad. These policies include permanent household registration, subsidy for housing purchase, settling-in allowances and public service in accordance with their education background or expertise. The main reason for this wave of battles for S&T talents is that China′s economy has been driven by extensive factors for a long time. However, the law of diminishing marginal returns indicates increasing downward pressure on China′s economy in recent years. In order to reverse this unfavorable situation, the Central Government put forward the Supply-Side Structural Reform and Innovation-Driven Development Strategy in time. Under such circumstance, local governments vigorously develop high-tech industries. Since research personnel are the driving force of innovation, more and more local governments have gradually transferred their development strategies from attracting investment to attracting S&T talents.This paper examines whether S&T talent-attracting policies can improve local innovation performance and what are the main influencing factors. Most studies on the relationship between the local government and regional innovation performance were conducted from the perspective of capital. However, whether a firm can innovate successfully requires not only sufficient funds, but also a large number of S&T talents. In this case, this paper aims at examining the relationship between local governments′ S&T talents support and regional innovation performance based on the issuance of S&T talent-attracting policies by major cities in China from January 2017 to May 2018.It uses the event study method to analyze the effect of S&T talent-attracting policies on the firm value of high-tech enterprises, and the internal mechanism. The research show that S&T talent-attracting policies can help improve local innovation performance, and the effect is realized through S&T talents dividend mechanism. Specifically, the findings of this paper suggest four main conclusions. Firstly, the issuance of S&T talent-attracting policies by local governments can promote the firm value of local high-tech listed companies. The policies may attract more highly educated and skilled S&T talents from home and abroad, and then increase the S&T talents supply for local enterprises. In addition, the gathering of S&T talents will produce agglomeration effect such as information sharing, collective learning and knowledge outflow. Moreover, they have different understandings and perspectives of even the same knowledge or technology. Their communication with each other may ignite sparks of wisdom to improve their ability to solve technical problems. This helps companies improve their innovation capability. Secondly, in areas with higher concentration of high-tech industries, the effect of S&T talent-attracting policies on the value of local high-tech enterprises is more significant. On the one hand, it is easier for S&T talents to obtain satisfactory jobs in those regions, and it is also relatively more convenient for them to find new jobs in the same city in the future. On the other hand, in the areas with high concentration of high-tech industries, there are a large number of S&T talents. This may shorten the distance among them in space and reduce the cost of information search. S&T talents can easily communicate with each other in order to have more opportunities for discussing, learning and developing. As a result, knowledge transfer, diffusion and communication will become more efficient, which may form knowledge spillover effect. On this basis, the innovation effect will be further improved.Thirdly, in the areas with better livability, the above effect is more significant. On the one hand, good ecological environment is more attractive to high-end research talents. On the other hand, high-end research talents enjoy more choices about their workplace, since they have better education background, more sophisticated skills and higher income.Lastly, the positive effect of S&T talent-attracting policies on the firm value of local high-tech enterprises is realized through the S&T talents dividend mechanism rather than the demographic dividend mechanism, because the effect is more significant in companies with higher R&D input, but it is not significant in non-high-tech companies. The conclusions may provide four implications for related policy-making. Firstly, local governments should improve the publicity of S&T talents policies so as to make more S&T talents aware of the existence of these policies. For example, local governments can organize staff to hold policy seminars in well-known universities across the country. Secondly, local governments should expand high-tech industrial parks and introduce more preferential policies to attract more high-tech enterprises so as to give better play to the effect of S&T talents policies. Thirdly, local governments should pay more attention to the ecological environment and create better living environment, which may play an important role in attracting S&T talents and developing local high-tech industries, to be in accordance with the development concept of "lucid waters and lush mountains are invaluable assets". Fourthly, China′s economic growth has begun to shift from a demographic dividend driven mode to S&T talents dividend driven mode. From the perspective of long-term development, local governments should not only focus on how to attract S&T talents, but also consider how to retain these S&T talents, so that they can make more contribution to the local construction and development for a long time. This requires the local government to earnestly fulfill their commitments listed in the S&T talent-attracting policies, and keep caring about the status and needs of S&T talents in the aspect of their work, study and life. 
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    An analysis of the inter-provincial mobility network of scientific researchers in China and its evolution
    2022, 43(3): 79-88. 
    Abstract ( 179 )  
       Nowadays, scientific researchers are an important kind of economic resources and critical sources of creative power in the development of economy and society. With the increasing intense competition in science and technology, not only the government of our country has focused on attracting scientific researchers all over the world and puts it at the national strategic level, but most of provinces of China also have make relative policies for attracting scientific researchers in the nationwide and worldwide to improve the ability of scientific and technological innovation. It follows that a great number of scientific researchers move to other provinces in our country. The discussion on these topics is of great significance to optimize the system of scientific researchers policies, guide provinces to make policies for attracting and retaining scientific researchers, and construct a good environment for innovation, so that it must be explored with great conviction.To give a more confident and quantitative result, this paper establishes the networked model of scientific researchers mobility between 34 provinces of China during the years from 2010 to 2017 according to the database of scientist In with the help of complex network. In detail, 34 provinces (including Hong Kong, Taiwan, Macao) are noted by nodes, directed scientific researchers flows are viewed as directed edges, and the number of mobile scientific researchers are abstracted into edge weights. According to the scientific researchers mobility network, it is straight-forward that a great number of scientific researchers entering into developed provinces and cities directly under the Center Government in China. From the power fitting functions for the cumulative in-degree probability distribution and the cumulative out-degree probability distribution the mobility network is scale-free from 2010 to 2017. According to the computing results of the entropies, it is obtained that the network of scientific researchers inter-provincial mobility in China is heterogeneous, which means that a small part of nodes (provinces) have great importance than others. To some extent, the scientific researchers mobility depends on these provinces, and the heterogeneity for scientific researchers mobility is not obvious. After calculating the in-out degree assortativity coefficient, we know that the provinces with larger amount of leaving scientific researchers also attracts larger amount of entering scientific researchers on average, and this phenomenon is very significant. Then, we mention that the node-betweenness centralities for the provinces are also uneven. Considering the above discussion based on the tools and concepts of complex network, the network of scientific researchers mobility is not balanced, which means that few of developed provinces or cities, such as Beijing, Shanghai, and Jiangsu, have a great number of scientific researchers emigrating and immigrating, but most of the other provinces have limited number of scientific researchers emigrating and immigrating. Except a small part of provinces, there exists a balance at different provinces between the number of emigrating scientific researchers and immigrating scientific researchers. Moreover, some developed provinces are the centralities of scientific researchers mobility for the provinces around them, so that these developed provinces can be viewed as "agencies". For the evolution with time, the scientific researchers mobility is relatively stable, but the difference of the number of emigrating scientific researchers between developed provinces and other provinces has becoming more obvious. The average distance of network models has become shorter and shorter, which follows that the most prominent character of scientific researchers inter-provincial mobility in these eight years is that more and more scientific researchers join in the mobility, and the mobility to other areas for scientific researchers has become more convenient.
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    A study of core competences and diversification strategies of Chinese private enterprises
    Zeng Ping, Wang Jin′ai, Lyu Diwei
    2022, 43(3): 89-98. 
    Abstract ( 240 )  
        It is a fundamental question in the strategy research of what determines the scope of the firm. Theorists suggest that it is product diversification or geographic diversification which determines the scope of the firm, and appeal that empirical studies should examine both effects in a context outside America and the developed countries. In this study we respond to these calls and examine the effects of different types of firms′ core competences and their influences on the product diversification or geographic diversification simultaneously. With the integration of institution-based view and resource-based view (RBV), we extend the research of this fundamental question to the context of the fast development and distinct path selections of the Chinese private enterprises. Private enterprise is one of the most important engines of economic growth in China since the reform and opening up of China, but we know very little about the process of diversification, one of the most popular development strategy for the Chinese private enterprises, especially the relationship among different core competences and dimensions of diversification strategy which determine the scope of the firm. Because of the legitimacy and liability of newness, most private enterprises in China have the characteristics of new starting firms. Usually, Chinese private enterprises discover and exploit business opportunities by developing capabilities of R&D or political connections, choose different development paths and lead to different scopes of firm in the end, i.e. different level of product diversification or geographic diversification. These processes are influenced by the institutional differences especially different levels of the market liberalization come from the obvious regional segmentation in China. In this study, we select a specific sample from 1291 private enterprises public listed in the Chinese stock market. We delete banks and the other financial companies which operated very differently with most private companies and firms have no obvious development strategy such as special treated firms (i.e. ST and *ST firms) with very poor performance. In the end, we select 1161 private firms in the 19 industries. We measure the product diversification with an entropy index of prime operating revenue and geographic diversification with the Herfindahl-Hirschman index according to the authority literatures. Since product diversification and geographic diversification are continuous variables, we employ multiple linear regression for the analysis using the Stata software, and apply hierarchical moderated regression approach to test all the hypotheses. Hierarchical analysis allows for a comparison between alternative models with and without interaction terms, where an interaction effect only exists if the interaction term contributes significantly to the variance explained in the dependent variable over the main effects of the independent variables. We also check the robustness by different measures of the major study variables, and construct models to examine the endogeneity using the Granger causality test. Our results are robust when examined with different measures of the major study variables and pass through the causality test desirably, it is the capability of R&D or political connections which lead to high-level or low-level product diversification and geographic diversification and not the vice versa. We select 2007 as the data starting year, because in 2007 all listed companies are required to implement the new accounting standards by Chinese government and disclose company information with even more high quality. Empirical results of the private enterprises in 2007-2014 reveal that both core competence, i.e. capabilities of R&D or political connections, have direct effects on product diversification and geographic diversification. Capabilities of R&D lead to high level geographic diversification and more focused product diversification, and political connections lost some significance which imply its mechanism is more complex than the R&D capabilities. However, political connections have significant negative moderate effects which changes the above relationships to the contrary directions. In the firms with high level capabilities of political connections, R&D capabilities make firms more localized and operated in many industries, so they have high level product diversification and low-level geographic diversification. On the contrary, in the firms with low-level political connections, R&D capabilities make firms devoted to the focused industries and enter different regions to make use of the R&D advantages, so they have low-level product diversification and high-level geographic diversification. But with the improvement of the regional institutions measured by the market liberalization, negative effects of political connections are suppressed and R&D effects are protected. In the regions with high-level market liberalization, market mechanism surpasses the effects of the political connections, direct effect of R&D capabilities appears again, private firms select the path of low-level product diversification and high-level geographic diversification. In practice, both capabilities are useful and to fully understand their effects need to consider the special contexts and the strategic outcomes. In the regions where institutions of the market liberalization are not formed it is better to develop capabilities of political connections and build up a local "business empire" which operates in many industries or many product units, i.e. high-level product diversification and low-level geographic diversification. Many firms set up in the county or the 4th- and 5th-tierd cities have the characteristics which deeply connected to the government officials and operates in many industries such as real estate, department store, hotel and catering industry besides their major field. On the contrary, In the regions with more mature of market economy institution, private firms usually devote to R&D capabilities and focus on narrow product field. In this context, political connections are very expensive or not very useful so they are replaced by market mechanism, market efficiency and protection of law help firms to select the path of internal development. In the long run, it is much better to develop capabilities of R&D and push the company to be a specialized competitor operating in the countrywide or worldwide which operates only in several industries or focused product fields, i.e. low-level product diversification and high-level geographic diversification. 
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    How can enterprises get out of the dilemma of "integration" or "autonomy"? 
    Pei Xudong, Wang Boying, Huang Yuzhou, Li Na, Li Suicheng
    2022, 43(3): 99-107. 
    Abstract ( 130 )  
        Technology acquisitions are typical open innovation patterns. The acquiring company′s purpose is to acquire external technological resources, then to fill, expand, and update its knowledge base. Technology acquisitions can provide acquiring companies with rapid access to new technology opportunities, and meanwhile cause them to fall into the dilemma of "integration" or "autonomy" when they choose strategic models after technology acquisitions, which significantly reduce the benefits of technology acquisitions. Therefore, how to get out of the dilemma of "integration" or "autonomy" after technology acquisitions is a fundamental research problem that lacks in-depth exploration.The existing studies on strategic model choices after technology acquisitions have focused on how to use "integration" and "autonomy" strategy to improve utilization the efficiency of external technological resources and to achieve innovation goals of post-acquisitions. However, it is one side that considering how to utilize "integration" and "autonomy" strategy to reconfigure and make full use of technological resources originating from acquired companies by organizing and managing them. The more interesting question is how strategic choices after technology acquisitions have been made. Then the activities of technology acquisition not only need to describe their value creation characteristics, and realize technology acquisition value by integrating and reconstructing acquired technological resources, but also need to pay attention to identifying and selecting value opportunities of technological resources. On the one hand, identifying the value of technological resources is the sourcing and triggering point of the technology acquisition process, and is the most critical part of the technology acquisition process. On the other hand, the technological selection will directly affect the choices of post-acquisition strategic models. However, the existing research only reveals how to use "integration" and "autonomy" to improve the utilization efficiency of technological resources after technology acquisitions. The relationship between pre-acquisition technology selection and post-acquisition strategic model choices has been separated. The questions about how to adequately match them have not been fully paid attention. This paper constructs a theoretical model about pre-acquisition technology selection, resource overlap and post-acquisition strategic model choices, puts forward research hypotheses, and tests them with multiple linear regression analysis. The results show that intra-boundary technological selection has significantly positive impact on integrated strategic choice, but no significant effect on autonomous strategic decision. Boundary-spanning technological selection has significantly positive impact on autonomous strategic choice, but no significant effect on integrated strategic choice. Technological overlap positively moderates the relationship between intra-boundary technological selections and integrated strategic choices, and negatively moderates the relationship between boundary-spanning technological selection and autonomous strategic choice. Relational overlap negatively moderates the relationship between intra-boundary technological selections and integrated strategic choices, and positively moderates the relationship between boundary-spanning technological selection and autonomous strategic choice. This paper breaks through existing partial research perspectives, clarifies the relationship between technological selection, resource overlap and post-acquisition strategy model choice from the perspective of overall value creation. It also reveals the internal mechanism about how acquiring companies make strategic model choices after technology acquisitions, opens up the "black box" of how to make the right strategic model choices after technology acquisitions.The theoretical contributions and managerial implications are as follows: Firstly, the study summarizes the inherent laws of technological selection in technology acquisitions and enriches the relevant theories of technological selection in the field of technology acquisition research. By dividing post-acquisition strategy into "integrated strategy" and "autonomous strategy", previous studies have revealed how companies can use the "integration" and "autonomy" to absorb valuable resources of acquired companies to reshape their organizational capabilities, structures, and resources to achieve post-acquisition innovation goals. This view ignores the importance of technological selection, separates the relationship between pre-acquisition technological selection and post-acquisition strategic model choices. This paper closely links them, points out that technological selection has a direct impact on post-acquisition strategic model choices, and it is an important prerequisite and basis for choosing an appropriate strategic model after technology acquisitions. The paper results require enterprises to consider all aspects of technology acquisition, especially technological selection, combined with their technology basis and technology needs, weighing intra-boundary and boundary-spanning technological selection in technology acquisitions.Secondly, conclusions answer the theoretical and practical problem on how to get out of the dilemma of "integration" or "autonomy" after technology acquisitions, make up for the relevant theories of strategic model choices after technology acquisitions. The results reveal the internal mechanism of how to match the pre-acquisition technological selection behaviors and the post-acquisition strategy model choices. That is, when companies adopt boundary-spanning technological selections, they need to choose an integrated strategy model to seek methods that combine its prior technological knowledge with technological knowledge of acquired companies to expand and extend its existing technology base. When companies adopt cross-border technological selections, they need to choose an autonomous strategic model to promote companies engaging in innovation activities in new technological direction by allowing acquired companies to operate independently and use new technological knowledge instead of linking with existing technological knowledge. The results suggest that if managers select external technological knowledge in the existing technology field, they must choose an integrated strategy after technology acquisition to create new value, and select external technological knowledge across existing technology field, it is necessary to choose an autonomous strategy to create new value after technology acquisition.Finally, the paper reveals the complicated relationship between resource overlap and pre-acquisition technological selection and post-acquisition strategic model choices, deepening our understanding of the relationship between them. The results suggest that companies should not only fully consider the relationship between technological selection and different strategic models after technology acquisitions, but also focus on the important roles played by resources overlap. For intra-boundary technological selection and integrating into the existing structure after technology acquisition, acquiring companies should as much as possible choose acquired companies that overlap with own technological resources, and try to avoid a high degree of relational resources overlap, conducts technology acquisitions to improve the implementation effect of an integrated strategy. For boundary-spanning technological selections and maintain its operation after technology acquisitions, acquiring companies should as much as possible choose acquired companies that overlap with their relational resources while avoiding a high degree of technological resources overlap, improve the implementation effect of autonomous strategy.
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    Research on the social defense mechanism of innovative SMEs from the perspective of institutional logics
    Huang Hao, Wang Guohong
    2022, 43(3): 108-116. 
    Abstract ( 122 )  
       Due to the tension between the need for innovation and the liability of newness and smallness, innovative SMEs often rely on external cooperation to acquire necessary resources for survival and growth. Such cooperation meets the needs of innovative SMEs but also puts them into a situation that powerful partners may "covet" and "exploit" the innovative technology or innovative knowledge of innovative SMEs, and even realize the technology or market monopoly through controlling or merging the latter ones. From innovation and entrepreneurship perspective, this phenomenon is named as "Sharks Dilemma", which refers to the dilemma of "maintaining resource acceptance relationship with partners and preventing potential opportunistic behaviors" when innovative SMEs establish external cooperation. Confronting the opportunistic behavior of strong partners, most innovative SMEs are often passive and lack of countermeasures. How to make full use of all kinds of resources embedded in the social environment to implement social defense actions has become the key to tackle "Sharks Dilemma".Talking about innovative SMEs, social defense can be understood as a series of measures against opportunistic behavior risk of strong partners. Measures such as patent protection, secrecy, timing, third-party supervision have been proved to be effective to prevent opportunistic behaviors of strong partners in some degree. However, it is worth noticing that the relationship and action among enterprises often exist in a wider environment, and existing literatures show inadequate attention on the relationship between social defense actions and their environment. Institutional theory emphasizes that corporate behaviors are reflections of embedded institutional environment, while institutional logics further reflects the behavior mode of enterprises. From institutional logics perspective, "Sharks Dilemma" can be examined from the perspective of "rules" and "norms", and the internal construct and external relationship of social defense of innovative SMEs can be explained in a more comprehensive way. Therefore, this paper analyzes the connotation and mechanism of social defense from institutional logics perspective and puts forward the theoretical model of social defense mechanism, which contributes to the construction of balanced sustainable ecological practice in enterprise-wide cooperation.This paper conducts exploratory multi-case study combining grounded technique. Based on theoretical sampling, 7 innovative SMEs are selected and analyzed as cases. This paper collects first-hand and second-hand data, and takes sentences or segments closely related to research subject, which have relatively complete and contain non-repetition information as coding unit. By conducting word by word, sentence by sentence and segment coding as the comprehensive strategy, this paper encodes the data via open coding, axial coding and selective coding, and 186 original statements or segments are reserved with 32 concepts and 28 primary categories being extracted. According to the "Condition-Action-Result" paradigm, 28 primary categories based on open coding are grouped into 3 main categories. This paper further extracts the connotation of social defense and analyzes the core category of "social defense mechanism" of innovative SMEs to get the theoretical framework of social defense mechanism. This paper conducts literal replication, theoretical replication and rival analysis as well for testing the preliminary findings, and after within-case and cross-case analysis, this paper summarizes the comprehensive theoretical model of social defense mechanism.The findings are summarized as follows. (1)Social defense is a series of measures to protect key members, corporate control rights and intellectual property by using rules and norms embedded in the institutional context; (2)Social defense mechanism consists of social defense context, social defense measures and social defense targets, which is the unity of behavior, system, relationship and time; (3)Social defense mechanism has the essence of institutional logics, and its measures and actions are unified in the institutional logics framework of rules and norms; (4)Social defense mechanism contains multi-level storyline and there are multiple closed-loop logic structures among the specific measures, the subset of measures and the basic contents; (5) The key members′ protection are the most fundamental part of all the social defense mechanism measures, and only the key members′ protection, corporate control rights′ protection, intellectual property′s protection, taking advantage of the key relationship and timing selection and control are functioning simultaneously and collaboratively can make it possible to protect and preserve the key members, corporate control rights and intellectual property in all directions and time.This research makes some important theoretical contributions in clarifying the connotation of social defense of innovative SMEs, refining the multiple logic of social defense mechanism, revealing the institutional logics essence of social defense mechanism, and structuring a comprehensive theoretical model of social defense mechanism. From the perspective of concept construction and mechanism analysis, this paper clarifies the theoretical connotation and framework of social defense mechanism, expands the application of institutional theory in innovation and entrepreneurial context, promotes the exploration of "Sharks Dilemma", and lays the foundation of concept and analysis framework for subsequent research.This research has some important enlightenments to practice: as founders of a company, ones should learn and grow up fast, which is the key breaking point to deal with the potential threat of the strong partners, and the most basic premise for all defensive measures to be effective; the founders and the managers of innovative SMEs should fully understand and make good use of the policies, laws, regulations and other rules in the environment, as well as the industry customs, examples, orientation and other norms, especially with the help of the existing social ties to form a balanced and enduring cooperative relationship, so as to create good conditions for their own sustainable development.
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    Financing dependence, IPO and innovation investment of GEM listed firms
    Hu Yongping
    2022, 43(3): 117-124. 
    Abstract ( 137 )  
       Scientific and technological innovation is a key dynamic of China′s economic development in the "New Normal" Economy, and the strategy of innovation-driven economic development has been put forward since 2012. Especially, corporate innovation is one of the most important parts of national innovation system. According to statistics, nearly two thirds of invention patents are applied by domestic firms up to the end of 2018 and present the trend of increasing year by year. Therefore, it is necessary to encourage corporate innovation and investment in research and development to implement the strategy of innovation-driven economic development.Although the existing studies show that not only many macro factors such as policy uncertainty, government subsidies and tax credit, but also many micro factors such as monitoring of board of directors, CEO incentives, transparency of accounting information of listed firms have influences on corporate innovation investment, it is easy for corporate innovation to face problems of financial constraints because of high risk of technological innovation. The studies aboard indicate that the development of capital market is helpful to promote corporate innovation investment because capital market will make firms′ financing to be much more convenient, but the research conclusions of effects of the development of domestic capital market on corporate innovation investment are very mixed. Why? It is worthy to further study the reasons that the development of China′s capital market would not improve corporate innovation investment. By using unbalanced panel data of listed firms on Growth Enterprise Market (GEM) between 2009 and 2014 and building Difference-In-Difference (DID) model, the paper has studied the effect of capital market on corporate innovation by analyzing the changes of corporate innovation after initial public offering (IPO) in order to discuss whether corporate innovation increases by easing its financial constraints or corporate innovation decreases because of its executives′ myopia behavior. Meanwhile, by considering the condition of corporate financing dependence, the differences of corporate innovation changes after IPO between internal financing dependent firms and external financing dependent firms have been empirically studied, and causes to different changes of corporate innovation have been analyzed by discussing the different level of venture capital investment. The main empirical results indicate that (1) the negative effect of IPO on corporate innovation investment is statistically significant, that is, corporate innovation investment decrease statistically significantly after IPO. It shows the executives′ myopia behavior which causes decrease of corporate innovation investment after IPO while it is not the easing effect of financing constraints to increase corporate innovation investment after IPO. (2) the decrease of corporate innovation investment in internal financing dependent firms is different from that in external financing dependent firms. The negative effect of IPO on corporate innovation investment in external financing dependent firms is statistically significantly greater than that in internal financing dependent firms, that is, the decrease of corporate innovation investment in external financing dependent firms is larger than that in internal financing dependent firms. It suggests that the executives′ myopia of external financing dependent firms is stronger than that of internal financing dependent firms. (3) Venture capital (VC) participation ratio and VC shareholding of external financing dependent firms are higher statistically significantly than those of internal financing dependent firms. VC could increase statistically significantly the negative effect of IPO on corporate innovation investment, the more the VC shareholding, the greater the negative effect of IPO on corporate innovation investment, and the sharper decrease of corporate innovation investment in external financing dependent firms which results from their higher VC participation ratio and VC shareholding. To be specific, VC increases statistically significantly the negative effect of IPO on corporate innovation investment in external financing dependent firms, while VC does not increase statistically significantly the negative effect of IPO on corporate innovation investment in internal financing dependent firms. It means that external investors such as venture capital investors have very strong motive to force firms′ executives to decease the highly risky innovation investment when they are inclined to withdraw from their invested firms after firms′ IPO, the more the VC shareholding, the greater the influence of VC on executives, and the sharper the decrease of corporate innovation investment.The above empirical analysis results have some policy implications. Though corporate financing is more convenient after IPO and firms to be listed are helpful to ease their financial constraints of corporate innovation investment, it is not necessary that firms should invest more in technological innovation after IPO. On the contrary, the regulator of capital market who focuses on the short-term profit indexes such as net income will put much pressure on firms′ executives and external investors to increase the short-term profitability, and will result in the higher correlation between the short-term profit index and the market price of the firm′s stock. Therefore, CSRC (China Securities Regulatory Committee) should use short-term profit index carefully to be the standard of stock market regulation whether the high-growth innovative technological enterprises are qualified to be listed or to be delisted from the stock exchange. And with the development of Chinese capital market, as for listed high-growth innovative companies, it is very important to initiate the concept of the valuation investment and foster valuation investors in order to raise the tolerance for failure of corporate innovation. These measures could be helpful to reduce executives′ impetus and pressure to pursue high short-term profit, and they could be helpful to raise executives′ enthusiasm and optimism to increase corporate investment in research and development. So the empirical evidences provide supports for the regulation of Sci-Tech Innovation Board to weaken the importance of firms′ short-term profit. That is, the regulator of Sci-Tech Innovation Board which is set up this year does not use short-term profit index as the most important qualified standards for being listed and being delisted from the stock exchange. It is optimistic that executives of listed firms in Sci-Tech Innovation Board will be enthusiastic to increase continuously their corporate innovation investment when they have no much pressure of high short-term profit. It is good for enhancing firms′ innovation and national independent innovation strength. 
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    Export activities, absorptive capacity, R&D cooperation and innovation performance
    Li Fan, Dai Yongwei, Zhang Di
    2022, 43(3): 125-133. 
    Abstract ( 191 )  
       Innovation performance improvement is an important issue for corporate sustainable development. The existing research has preliminarily constructed a research framework among internal knowledge creation system, external knowledge acquisition system and innovation performance. While internal knowledge creation system mainly explores the relevant problems about absorptive capacity, like creating and generating new knowledge, external knowledge acquisition system cares more about R&D cooperation which is performed by the company and other external organizations. There is a pity that external knowledge acquisition system ignores the roles of enterprise export activities, which are also important methods to acquire external knowledge. Enterprises can get comprehensive external knowledge which is transferred in the external knowledge flow network, thus promoting innovation performance. Serving as the approach to contacting external knowledge, export activities and R&D cooperation are of great importance. As a result, enterprise export activities should be brought into the external knowledge acquisition system, and the relationship between export activities and innovation performance should be explored further, which is scarcely studied in the developing countries at present.This paper attempts to incorporate export factors into the enterprise external activities knowledge acquisition system, extend the research framework of innovation performance, and explore the relationship between enterprise export activities, R&D cooperation, absorptive capacity and innovation performance. Therefore, this paper proposes six hypotheses: Hypothesis 1 is that R&D cooperation has a positive impact on absorptive capacity; Hypothesis 2 is that R&D cooperation has a positive impact on innovation performance; Hypothesis 3 is that absorptive capacity has a positive impact on innovation performance; Hypothesis 4a is that absorption capacity has a positive impact on export activities; Hypothesis 4b is that export activity has a positive impact on absorptive capacity; Hypothesis 5 is that export activity has a positive impact on innovation performance; Hypothesis 6 is that export activity has positive impact for R&D cooperation. Data in this paper comes from the database in listed companies of China′s high-tech enterprises,from which we finally chose 209 high-tech enterprises as the research sample. Then, R&D cooperation information of the above 209 companies are manually collected. The hypothesis is verified using the structural equation model. The research results show that: (1) Enterprise absorptive capacity is an important factor to promote the innovation performance. Absorptive capacity not only has a direct positive impact on the innovation performance, but also has an intermediary role in the positive impact of export activities and R&D cooperation on firm innovation performance. (2) Export activities have direct positive impact on R&D cooperation and innovation performance. The foreign market environment can help enterprises to enhance their innovation ability and innovation performance, also promote to establish R&D partnerships with foreign excellent enterprises or scientific research institutions. (3) Enterprises with higher absorptive capacity can promote enterprises to expand export activities, and their strong absorptive capacity in export activities can help enterprises to acquire and absorb foreign knowledge resources and further promote the absorption capacity. (4) There is a "virtuous circle" among R&D cooperation, absorption capacity and export activities. R&D cooperation enhances the absorption capacity of enterprises and further promotes enterprise exports; on the other hand, export activities will enhance opportunities for establishing cooperative relationships with external partners, thereby promoting R&D cooperation.This paper mainly contributes to the area in the following aspects: First, in theory, the research framework of innovation performance is extended. Besides the direct relationships among R&D cooperation, innovation performance, export activities and absorptive capacity, the intermediary role of absorptive capacity and export activities are also explored. Second, all of our findings reveal the contribution of improving absorptive capacity and export activities of innovation performance.The conclusions of this paper have the following enlightenment for the improvement of innovation performance of high-tech enterprises: First, improve the absorption capacity of enterprises. In terms of manpower construction, enterprises should attract high-level research personnel to supplement the enterprise scientific research personnel pool, establish a knowledge management system to promote internal knowledge flow, and enhance the ability of employees and organizations to acquire, digest and absorb new knowledge. In terms of technical capabilities, enterprises should strengthen R&D investment, promote the integration of new and old knowledge, enhance the technology development capability and independent innovation capability of enterprises, and promote the knowledge flow cycle between prior knowledge and absorptive capacity. Second, expand the breadth of R&D partners. Enterprises should actively cooperate with domestic customers, suppliers, competitors, universities and research institutes to build a long-term and stable R&D partnership with multiple parties. In addition, enterprises should establish cooperative and innovative partnerships with organizations in the EU, the United States and other countries and regions, and builds a platform for knowledge exchange and exchange of multinational enterprises, absorbs high-quality knowledge resources from abroad, expands the enterprise knowledge base, and promotes the absorption capacity and innovation performance. Create an international industrial park, establish a multi-dimensional and prominent international innovation collaboration platform, accurately connect with foreign high-quality innovation resources, and innovative interaction and technology sharing. The government should create a good policy environment for enterprises to cooperate with university and scientific research institutions, and build an online information docking platform, guide the establishment of a resource sharing mechanism, and promote the open sharing of innovation elements. The government should learn from Israel′s relevant experience, then build a joint committee of innovation and cooperation among countries to achieve complementary advantages, resource connectivity and multi-win. Third, enrich the internationalization activities of enterprises. Enterprises should enhance the level and quality of export products, diversify the export market continuously, focus on developing Europe and emerging markets. Promoting the improvement of innovation ability by acquiring foreign high-quality resources and improving a high level of transnational R&D cooperation through high-quality export trade activities, the enterprises can upgrade the innovation performance. Fourth, establish overseas R&D cooperation centers. Establishing overseas R&D cooperation platforms and communication centers by various export trade activities, scientific research personnel exchange and technology introduction could be realized. The government should help build a high-level enterprise cross-border exchange platform, build a dynamic information service consulting platform, and provide practical services for the internationalization of enterprises.
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    The network community structure, information dissemination and cognitive proximity of venture capital
    Dang Xinghua, Pei Xiaojie, Wang Lei
    2022, 43(3): 134-141. 
    Abstract ( 114 )  
       The transformation of Chinese industrial structure has produced many emerging industries, then the venture capital can play a driving role. Based on the characteristics of network communities, this paper combines theoretical analysis and empirical test to make an in-depth analysis on the impact of network community structure change firm information dissemination resulting in community information dissemination changing.In this paper, China venture capital industry joint investment data of the CV (China Venture) source database was used to build a network community from January 1, 2006, to December 31, 2015. First, UCINET 6.560 was used to construct the VC network. Second, this paper uses the GN algorithm to extract the network community. This paper measures the network community with a three-year time window, for example in the 2006–2008 time windows we extract network community structure, and in the 2007-2009 time window investigate information dissemination, in the 2008-2010 time window calculate the performance, and so on. A total of 245 network communities were detected.First, basing on the structural analysis of cohesive subgroups, this paper proposes three dimensions (community cohesion, community status difference and community coordination) of the structure of venture capital network community. Two types of information dissemination (project information dissemination and experience information dissemination) are proposed according to the necessary information content for the existence and development of venture capital firms. Second, it is found that community cohesion has a negative effect on both types of information dissemination, while status difference and coordination have a positive effect on both types of information dissemination. The community cohesion has more significant influence on project information dissemination than community status difference, while community status difference has more significant influence on project information dissemination than community coordination′s. The influence of community cohesion and community status difference on the dissemination of empirical information is not significant, while the influence of community status difference on the dissemination of empirical information is more significant than that of coordination. Third, the cognitive proximity positively affects the relationship between community cohesion and two kinds of information dissemination. The cognitive proximity negatively affects the relationship between community status difference and the dissemination of two kinds of information, meanwhile negatively affects the relationship between the community coordination and the dissemination of two kinds of information. The practical significance of this paper found that the VC network community structure has a significant impact on the effect and effectiveness of information dissemination. Therefore, we could make full use of the community function to help establishing new firm or building relationships for firm that need to expand their investment areas, meanwhile acquire community membership identity. Further, a community structure will be built by establishing differentiated relationships based on the required information content, such as maintaining diversified contacts with other firms to ensure the credibility of information, actively establishing contact with well-known investment firms to acquire the latest experience and skills to promote their own development, and so on. Finally, the sustainable development of investment firm and even the Chinese VC industry are realized through the network community.
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    Trade liberalization, firm heterogeneity and knowledge width of innovation
    Yin Sisi, Gao Yunshu, Huang Huan
    2022, 43(3): 142-151. 
    Abstract ( 163 )  
        Under the situation of enacting opening door policy, the level of innovation in Chinese firms has proceeded a lot. Based on the data collected from the Chinese Patent Database, the figure for firm-level patent application increased from 125 thousand in 1999 to 829 in 2010. Simultaneously, the firm-level international trade developed noticeably as well. In effect, China is not only a significant trading power but also a great import nation. According to the National Bureau of Statistics Report, in 2018, the value for import trade in China was 1408.74 million yuan (about 204.276 dollars), increased by around 12.9%. Besides, this value is estimated to follow a considerable upward trend in the following years. In this case, questions —including does the trade liberalization strategy affect the firm-level innovation and the innovation knowledge width; how does this influence work — are worth to examine thoroughly.Currently, Sino-US trade friction leads to an increasingly severe environment for firms to enforce international trade in China. Whilst the Sino-US trade negotiation is continually on the go and also achieves some consistency on aspects including property rights, non-tariff barriers, agriculture and exchange rates. According to the data assembled, from 2000 to 2016, the trade liberalization degree in China promoted a lot. With the trade liberalization expands in both breadth and depth, the quantitative and qualitative innovation level grow to a high degree as well. Therefore, a larger scale of trade liberalization and a more in-depth marketized institution will promote the firm-level innovation both in breadth and depth aspects in long-run despite for the transfer cost in short-run.In this paper, we adopt the knowledge width of firm-level innovation as the proxy for innovation quality, which is able to illustrate the relation between the factor affecting innovation quality and trade liberalization. Besides, to systematically and deeply examine the relevant problems, we further split innovation to invention, utility model and exterior design and measure the corresponding knowledge width, respectively. Also, we divide the firm-level trade liberalization into intermediate product, capital product and final product trade liberalization through the information provided by BEC and SNA managed by the United Nations. At this point, the topic we studied can be further stretched to two core problems: how does the heterogeneous trade liberalization affect the firm-level knowledge width of innovation? How does trade liberalization affect the heterogeneous firm-level knowledge width of innovation? Moreover, if the degree of firm-level trade liberalization has some certain effects on knowledge width of innovation, what is the mechanism inside these effects? At last, we also investigate the effects of trade liberalization on the knowledge width of innovation when other heterogeneous factors are considered. At present, the relevant pieces of literature have enforced considerable research on the factors that affect the innovation quantity. However, the effect of the trade cost heterogeneity on knowledge width of innovation lacks investigation and theoretical explanation. In this article, starting from the perspective of knowledge width of innovation, we study how does the firm-level trade liberalization impact firm-level knowledge width of innovation. Based on the merged data collecting from (a) Chinese Patent Database (CPD) controlled by China′s State Intellectual Property Office (CSIPO) (1998-2007); (b) Annual Survey of Industrial Production (ASIP) collected by the National Bureau of Statistics of China (2000-2017); (c) Chinese Customs Database (CCD) assembled and maintained by China′s General Administration of Customs (2000-2007); (d) Trade Analysis Information System (TRAINS) maintained by the World Bank, we have the following findings: First, in general, a significant promotion effect on knowledge width of innovation is generated by an increasingly liberalized trade environment. From the classified innovation, comparing with utility model and exterior design, the improving impact of trade liberalization on the invention is the highest. Because the firms focusing on the innovation in exterior design mainly occupy a high proportion of processing trade, leading to a situation that only the trade liberalization on intermediate product activates a great promotion influence on the knowledge width of exterior design. Second, accordingly, the effects of capital goods and final goods trade liberalization on the knowledge width of innovation are higher than the influence of intermediate goods trade liberalization. When the tariff for capital goods declines, firms can import more cutting-edge machines and equipment. In fact, adopting these advanced machines and equipment can not only directly expand the knowledge width of innovated products but also further indirectly enhance knowledge width due to more highly skilled employees are employed to operate the machines.Third, the trade liberalization on final goods intensifies the toughness of competition, causing the relevant firms to focus the products on their core competitive technology, resulting in the innovation on their core products and the promotion in the knowledge width of innovation. Meanwhile, trade liberalization on capital goods requires the firms to employ more employees to high-tech positions, leading to an increase in the average payment. Therefore, it is reasonable to check whether the product type and the average wage are the mediating variables that impact the promotion effect of trade liberalization on knowledge width of innovation. Besides, those firms that pay much attention to the innovation of exterior design are more sensitive to the import of intermediate goods; hence the proportion of processing trade should be one of the channels that causing the nonlinear effect of trade liberalization on the knowledge width of innovation. Lastly, we also enforce the heterogeneous tests in terms of the other differentiating factors and find the promotion effect of trade liberalization on innovation varies when firms′ ownership, trade behavior or scale is different.
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    Knowledge evolution and comparison of the organizational ambidextrous research in the context of China and abroad
    Jin Yanghua, Guo Ningning
    2022, 43(3): 152-163. 
    Abstract ( 199 )  
       Organizational ambidexterity is an important frontier field of management research in China and an important horizon to explore the management problems in emerging economic countries for the international academic community. However, there is few high-quality literatures that systematically combs the knowledge network and dynamic evolution trend of it in the Chinese context. There is a lack of in-depth comparison and analysis of the similarities and differences of the relevant studies in China and abroad. The landmark achievements, academic groups, research hotspots and dynamic evolution have not been presented scientifically.    The study collects the Chinese contextual organizational ambidextrous research papers from CSSCI and the core database of Web of Science,using bibliometrics and scientific knowledge mappings, and from both domestic and foreign dimensions systematically answers the three questions of "what kinds of academic groups in China and abroad have been formed", "what influential research results have been produced" and "what kind of thematic change rules have been shown". Besides, the similarities and differences between Chinese and abroad studies are also analyzed, which would be helpful for promoting China′s organizational ambidextrous research to the international forefront.    The research results are as follows:First, Chinese researchers can be classified into ambidextrous innovation, cooperation network, and ambidextrous leadership, etc., while foreign researchers can be classified into hybrid strategies, human resource management, and social capital, etc., and the domestic research mainly focuses on technology innovation, knowledge management,internationalization, informatization and leadership behavior, etc., while the foreign studies mainly focus on the economic transition, emerging economies and the application of traditional Chinese management culture; Second, the articles of Jiao Hao, Wang Fengbin, Wei Jiang, Cao Q, Wang CL, Lin HE, Atuahene-Gimak and other authors are the landmark literatures in the field, and the distribution of achievements is consistent with the characteristics of the academic communities;Third,the research hotspots and knowledge evolution trends are different between China and abroad, with the international communities pay close attention to human resource practice, social capital, consolidation and merger, etc., while the domestic scholars pay close attention to top management team behavior integration, network relation, and open innovation,etc., in addition, some of the Chinese and foreign research topics are overlapped, some of them appear successively, and some of them grow separately, for example, foreign research on market orientation, dynamic capability, and transformational leadership is ahead of research in China, while research on absorptive capacity in China is ahead of the foreign research, and on the whole, there are more research topics in China than abroad, showing stronger ductility.This study for the first time connects the academic groups, representative literatures and research trends at home and abroad, which objectively reflects the global knowledge network of the organizational ambidextrous research in the Chinese context, responses to Luo Jinlian′s question about whether the domestic and foreign ambidextrous studies are consistent and the academic thinking on "how to promote the dialogue between Chinese studies and world studies", complements the shortcomings of previous studies in the Chinese context and dynamic evolution analysis, and puts forward the future research directions, which would help scholars think more deeply about the uniqueness of the duality problems in Chinese management from the perspective of global management innovation, and promote the Chinese studies to the world by integrating the East and the West.
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    Research on the impact of laboratory validation on technology transfer: A study from the perspective of ambidextrous learning
    Wu Pengfei, Lin Jun
    2022, 43(3): 164-172. 
    Abstract ( 121 )  
        In recent years, the total number of patent applications and authorized patents in China has been firmly in the forefront of the world, but these scientific and technological innovation achievements have not been well applied, the transformation and application of these patent achievements is less than 10%, these data show that the transformation level of our scientific and technological achievements is still not satisfactory.  Existing research results that the commercialization of scientific and technological achievements of laboratory validation process can be divided into the laboratory and industrial scale test and commercial scale three phases, demonstration laboratory validation is connected to the basic research and applied research first hub, in the stage of laboratory verification technology has a great deal of uncertainty and risk, there is a big enough learning space. Through the experimental verification of new technologies, the "new" scientific knowledge is acquired, and the availability of basic knowledge is continuously expanded and extended to reduce the uncertainty of technology application and reduce technical risks. Through continuous testing and experiment in the laboratory, eliminate some unworkable technology, optimize the process flow, interactive learning, continuous iteration, the formation of technology prototype and produce results so that the new technology can be more suitable for industrial manufacturing. At the same time, laboratories need a large amount of resources to maintain their validation activities, so sufficient policy support will provide a strong guarantee for the effectiveness of laboratory validation. Therefore, this paper aims to clarify the relationship between ambidextrous learning, laboratory validation effectiveness and technology transfer, and explore the regulatory role of government science and technology support in it, so as to improve the effectiveness of laboratory validation at the front end of scientific and technological achievement transformation, and promote technology transfer and achievement transformation. Based on all above, the main contents of this paper are as follows.First of all, based on theoretical review and analysis, the relationship between ambidextrous learning, laboratory validation effectiveness, technology transfer, government scientific and technological support and the variables are summarized and integrated, the emergence of the concept of ambidextrous learning is reviewed, and the connotation and relationship of the two kinds of learning are further elaborated. Secondly, the connotation of the new variable of laboratory validation validity and the existing research were understood, and its composition dimension and measurement method were defined. Third, grasp the current research results on technology transfer and effectively measure them. Finally, sort out the relevant research on government science and technology support in the process of transformation of scientific and technological achievements, and explore the connotation and role of government science and technology policy support. It is suggested that there may be some relationship among the variables of ambidextrous learning, laboratory validation effectiveness, technology transfer and government support.Secondly, combined with the research topic of this paper, based on the systematic review of literature related to ambidextrous learning, laboratory validation effectiveness, technology transfer and government science and technology support, the theoretical framework of laboratory validation effectiveness driving technology transfer is established through logical deduction, and the hypothesis testing model is constructed. The model includes the impact of ambidextrous learning on technology transfer, the impact of ambidextrous learning on the effectiveness of laboratory validation, the effect of laboratory validation on technology transfer, the mediating effect of laboratory validation, and the moderating effect of government science and technology support. A total of 325 questionnaires were obtained through online and offline questionnaires, and 248 valid research data were obtained after the invalid questionnaires that did not meet the research requirements were deleted. To confirm whether the scale structure is the same as expected, the reliability and validity of the obtained sample data need to be tested.  The findings met the requirements of the study.Finally, SPSS software was used to analyze and process the large sample data to verify the research hypothesis. The results show that ambidextrous learning has a significant positive effect on technology transfer; The relationship between exploratory learning and technology transfer was partially mediated by laboratory research (R) performance. The relationship between exploitative learning and technology transfer was partially mediated by laboratory development (D) performance. Government support for science and technology positively moderates the support strength of laboratory verification for technology transfer. The results of post hoc analysis show that there are differences in the effect of laboratory verification and technology transfer between enterprises and universities.
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    Research on the formation mechanism of the innovation network of strategic emerging industries
    Li Baizhou, Wang Xue, Xue Luqi, Su Yi
    2022, 43(3): 173-182. 
    Abstract ( 214 )  
       Based on the realistic background that strategic emerging industries (SEIs) are in the early stage of development, the resource advantages of various subjects, which is conducive to conquering key technologies can be integrated and concentrated by building a high-level innovation network. Thus, it is necessary to explore the formation mechanism of innovation network and fully grasp the rules of interaction of all elements.Previous studies have concluded that the process of innovation network formation is accompanied by knowledge flow and that the government macro-regulation has an important impact on the quality of innovation network formation. However, it still has the following shortcomings. First of all, previous studies have not examined the influence of knowledge innovation subject attribute on the formation of innovation network in terms of knowledge complementarity and symbiosis of SEIs. Secondly, previous studies lack the research on the influence of interaction rules among knowledge innovation subjects, environment and the government on the formation of innovation network. Finally, the research on analyzing the dynamic interaction process of the SEIs innovation network based on its static formation mechanism needs to be enriched.According to the above analysis, the formation mechanism of the innovation network of SEIs was studied by static regression based on the stimulus-response model in this paper. On this basis, the agent simulation model was used to analyze the dynamic interaction process among the innovation subject, the government and the environment under the market mechanism and government regulation, which is to explore the dynamic evolution mechanism. The contribution of this paper is to enrich the theoretical framework of research related to innovation networks in SEIs, and provides a theoretical basis for enterprise decision making and government policy formulation. On the one hand, the attributes of knowledge sender and receiver are considered comprehensively. On the other hand, the interaction rules and dynamic interaction process among innovation subjects, environment and the government are fully explored. The mechanism of SEIs innovation network formation is deeply revealed. The results shown that in the process of interaction between knowledge innovation subject, the knowledge innovation behavior of the knowledge receiver is positively affected by its own knowledge absorption capacity, knowledge sharing willingness, information stimulus intensity and knowledge power of the knowledge sender. In the process of interaction between the government and knowledge innovation subject, the knowledge innovation behavior of knowledge receiver positively affected by the government support intensity. At the same time, the perceived information stimulus intensity of knowledge receiver has a mediating effect on the relationship between the government support and knowledge innovation behavior. After the formation and stabilization of the innovation network, the number of knowledge-interactive innovation subjects is more than that of knowledge-integrated innovation. Compared with the market mechanism, the number of knowledge-integrated innovation subjects in the government-driven innovation network has always maintained a stable growth trend and the proportion of quitters is small.Based on the conclusions, this paper draws the following enlightenment. First of all, the subject of knowledge innovation should strengthen the accuracy of the prediction about opportunity, timeliness and ambiguity of opportunity information. As the sender of knowledge, it is necessary to enhance the expertise, irreplaceability and inimitability of its knowledge resources to increase its knowledge power. As the receiver of knowledge, it is necessary to continuously strengthen its own knowledge absorption ability and willingness to share knowledge. The knowledge resources of the innovation network can be used more effectively and maintain the stable operation of the innovation network. Secondly, the government should be able to quickly formulate more guiding policies and improve the policy implementation. Through the joint efforts of enterprises and the government, a high-level innovation network of SEIs will eventually be formed. Thus, a solid foundation will be laid for driving the innovation of traditional industries.
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    Identification of potential standard essential patents based on semantic features
    Zhai Dongsheng, Jin Yuanyuan, Xu Shuo, He Xijun, Hu Hanqing, Zhen Liulin
    2022, 43(3): 183-191. 
    Abstract ( 210 )  
       Under the background of innovation leading development and the strategy of rejuvenating the country through science and education, the standard essential patent (SEP), as the main carrier of technological innovation, is an important way for the country to master the core industrial technology. Holding many SEP of key technologies in advance is the centralized embodiment of national innovation ability, and an important link for enterprises to control technology dominance. SEP has extremely high strategic and economic value. Enterprises can dominate the entire market by licensing SEP to each other, charge high license fees, and establish market barriers to competitors. Although the Standardization Committee has disclosed many SEPs, more patents will be included in the standards in the future with the development of product technology. At the same time, enterprises apply for patents from multiple angles around the technical points of the standard, continue to layout patents around the existing standards. Therefore, exploring potential SEP has important practical significance for building an innovative country, optimizing the patent distribution of enterprises, enhancing the competitiveness of core enterprises in China, increasing license income and avoiding business risks.This paper proposes a model to identify potential standards from prospect of semantic feature, using global semantic features and higher-dimensional semantic features of patents. Firstly, construct the patent sample set. Collect the declared standard essential patents data, including the patent number, claims, title, abstract and other information, and identify these as the SEP. The same number of non-SEP patent data were randomly sampled as negative samples and mixed with SEP patents to complete the construction of patent sample set. Secondly, Bert model is used to extract structured implicit global semantic features from the context of patent claims, title and abstract, and output high-dimensional semantic vectors. Thirdly, CNN neural network is used to extract the high-dimensional semantic features of the high-dimensional vector output by Bert, and the potential SEP is identified according to the feature extraction results. Lastly, according to the semantic similarity measure of vector, the predicted standard code is outputted for the potential SEPs. The findings are as follows. Firstly, when the amount of data is large, the accuracy and consistency of identifying potential SEPs based on the semantic features of claims are better than that based on the title and abstract, so the claims can provide richer semantic information of patent semantic features. Secondly, compared with the Doc2Vec-RF model, in terms of potential SEP prediction, the greater the number of predicted patents data, the better the prediction effect. For corresponding standard prediction, the performance of this method is nearly 10% higher than that of previous studies, and the test results are stable. Lastly, changing the amount of data tested in this paper, it is found that the experimental results float less and have good robustness.The conclusion of this paper not only provides reference value for the innovation strategy, but also provides practical significance for management practice. On the one hand, this method assists patent holders to analyze their own patents and utilize their own patents for potential development. On the other hand, enterprises can use this method to exploit the undisclosed standard essential patents of competitive enterprises to warn potential patent hijacking from competitors, serving for market competition.
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    An empirical study of establishment of the time-lag effect model of innovation value transformation
    Song Yanqiu, Hu Jun, Qi Yongxin
    2022, 43(3): 192-200. 
    Abstract ( 149 )  
        Technological innovation is an important way to improve economic development and enhance the countries′ innovation competitiveness. The transformation efficiency of resource inputs to innovation outputs is a vital factor of national innovation development. It is worth noting that innovation is a value chain transfer process with multi-stages, from resource inputs to innovation outputs. But innovation value does not happen immediately when the organizations invest innovation resources, such as R&D funding, human resources, there is a lag period. This lag period leads to the time-lag effect at multi-stage innovation value chain. Therefore, it is meaningful to accurately evaluate the time-lag effect of value conversion in each stage. Calculating lag period is not only good at understanding the present situation of China′s innovation value transformation, but also providing parameters for the innovation efficiency measurement model. Additionally, the most important is that it can provide valuable decision-making basis for resource allocation of governments and innovation organizations.The time-lag effects express discriminating meanings during the different stages of innovation value transformation. This paper proposes a method to calculate the lag period based on the relationship between the similarity of time-series network and the time-lag effect of value conversion system. In this paper, we divide the transformation in innovation value chain into three stages: knowledge development, technical transformation and industrialization. Firstly, we prove the relationship between the time-lag effect of the innovation value conversion system and the time-series vector. Secondly, we build the inputs and outputs networks separately using the time series data and following the time series visualization approach. Thirdly, the network similarity between inputs and outputs is calculated by using the cosine similarity theorem. Then the optimal mapping solution indicate the lag period. Finally, an empirical study on time-lag effect in China′s provinces innovation value transformation is established to show the feasibility of our approach. We select data from 30 provinces (autonomous regions and municipalities) in China (excluding Hong Kong, Macao, Taiwan, and Tibet because of a lack of data). The time coverage of all research data is 1998 to 2016. In the start of the innovation stage, knowledge development stage, R&D investment and scientific research personnel full-time equivalent are considered the initial inputs. Considering the innovative outputs in the knowledge development stage include patents and research papers, this paper has produced two innovative value transformation chains. One is from inputs to the number of patent grants (K1), then vary to high-tech industry new product sales (T1), finally output the high-tech output value (I) (namely ‘patent-driven’). The other one from the same inputs, capitals and human resources, but transform into to research papers in the knowledge generation phase, then produce high-tech industry new product sales (T2) and the proportion of high-tech output (I) gradually (namely ‘paper-driven’).This research draws the following conclusions. (1) The time-lag effect of the innovation value conversion system is related to the time-series network structure of the input-output vector. The similarity between inputs and outputs time-series network can reflect the mapping relationship of the value conversion parameter. In addition, the maximum similarity reflects the time-lag effect, and years who have the maximum similarity reveal the lag period. (2) The average time-lag period of knowledge development stage, technical transformation stage and industrialization stage are 3-4 years, 2-3 years and 3-4 years respectively. The patent-driven and paper-driven value conversion period is about 8.66 years and 9.66 years separately. The lag period of value transformation with paper-driven chain is more stable, but the collaboration effect between scientific papers and new products sales is fluctuating. Because scientific papers are results which explore different principles of technological innovation, while the new product is the technical program finally realized. They are not always synchronized at the same stage. (3) Comparing the lag period of each province with the national average, we can divide the innovation path into four categories. Dual-path driven means the province′s conversion time in both innovative value chains is faster than the national average. If the province′s patent-driven innovation value conversion has a short time lag, it names a patent-driven innovation. Instead, it is called paper-driven innovation. The remaining provinces have longer conversion time. In 30 provinces, 11 provinces′ innovation are dual-path driven, 9 provinces are paper-driven innovation, and 2 provinces are patent-driven. (4) Further analyzing the stage differences of lag period, this paper finds the lag period in industrialization stage is longest at most provinces. This indicates that it takes a long time to materialize an industrial production project. Meanwhile, the lag period in knowledge development stage and industrialization stage are complementary. The provinces with longer lag period in knowledge development stage have shorter lag period in industrialization stage.Based on designing an approach to measure the lag period and time-lag effects on innovation value transformation, this paper also extends the suggestions on government policies in the following ways. Firstly, the governments can distribute their input resources to the distinct innovation stages according to the lag period of value transformation. Secondly, pay more attention to the regional innovation collaboration. Finally, the complementary phenomenon of the lag period between the knowledge development stage and the industrialization stage provides some recommendations for innovation management. Establishing a collaboration innovation network between universities, research institutions and enterprises can improve value conversion efficiency. This paper contributes to the existing literature in several ways. Theoretically, this paper establishes an analysis framework for time-lag effects of innovation value transformation systems. Then this paper demonstrates the mapping relationship between the parameter vector and the time-series network structure. Meanwhile, a method for calculation the time-lag effect and the lag period is also designed. It provides a direction and feasible way to study the multi-stage time-lag effect from the perspective of time-series network, and enriches the complex network application research system. Practically, we measure the lag period of each stage of the transformation of innovation value in China′s provinces. In addition, the results not only propose the path and direction for improving the innovation efficiency of value conversion, but also can be used to configure the lag period for the input-output analysis model.
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    Manager Characteristics, R&D Input and Enterprise Performance
    Zhu Tao, Li Junshan, Zhu Linran
    2022, 43(3): 201-208. 
    Abstract ( 288 )  
        The characteristics of managers are an important factor affecting the R&D investment of enterprises. Managers′ personality characteristics, work experience, industry cognition and insight, and relevant professional and technical knowledge all affect the direction and strength of research and development. Firstly, based on the theoretical analysis of the relationship between manager characteristics and enterprise performance, this paper proposes the hypothesis of the correlation between manager characteristics, R&D investment and enterprise performance. The hypotheses are as follows: there is a positive correlation between the biographical human capital characteristics of enterprise managers and enterprise performance; the non-biographical human capital characteristics of enterprise managers are negatively correlated with enterprise performance. The non-biographical human capital characteristics of enterprise managers are negatively correlated with enterprise innovation R&D investment. Innovation R&D input is the intermediary variable between human capital characteristics of enterprise managers and enterprise performance. There is an intermediary effect between the characteristics of enterprise managers, innovative R&D investment and enterprise performance.The objectives and methods of this paper are as follows: The main objectives of this paper are the relationship between the characteristics of enterprise managers, innovation R&D investment and enterprise performance,and the mediating effect of innovative R&D investment between enterprise managers′ characteristics and enterprise performance. In terms of research methods, this paper takes the innovation R&D input of enterprises as the intermediary variable to construct the influence path between the human capital characteristics of enterprise managers and enterprise performance, and explore the internal mechanism between the characteristics of enterprise managers and enterprise performance. By using the empirical research method, this paper describes the human capital of enterprise managers from the four dimensions: age, education, tenure and professional title, and studies the relationship between the characteristics of human capital of enterprise managers, innovative R&D investment and enterprise performance from the two perspectives of biographical and non-biographical, so as to explore the mediating effect of enterprise innovative R&D investment. In this paper, the explained variable is enterprise performance, and the explanatory variable is the characteristics of enterprise managers. Innovation R&D investment is taken as an intermediary variable, and finally several control variables are added. By controlling other main variables that affect enterprise performance, the results of calculating the influence of enterprise managers′ characteristics on enterprise performance are more accurate.The main conclusions of the study are as follows: There is a positive correlation between the education level of enterprise managers and enterprise performance, and the improvement of education level is conducive to the improvement of enterprise performance; The tenure of enterprise managers has a negative impact on enterprise performance, the longer the overall term of office is, the worse the economic profit of enterprises will be. The title of enterprise manager is negatively correlated with enterprise performance, the higher the degree of professional title, the worse the growth of enterprise performance. The relationship between the age of enterprise managers and enterprise performance did not pass the significance test, most managers are experienced in management, age does not have a significant impact on corporate performance. The age heterogeneity of enterprise managers is positively correlated with enterprise performance, the greater the age heterogeneity, the more conducive to improving enterprise performance; The heterogeneity of tenure has a positive effect on enterprise performance, the greater the heterogeneity of tenure, the better the economic profit. The relationship between the heterogeneity of educational level and professional title of enterprise managers and enterprise performance did not pass the significance test, the educational level of managers is closely related to their professional titles. They do not have a great impact on managers′ management experience, and thus do not have a great impact on enterprise performance. The human capital characteristics of enterprise managers will play a role in innovation R&D investment. The professional title of enterprise managers is positively correlated with the R&D investment of enterprise innovation, the higher the professional title, the more emphasis on R&D investment; The education level of enterprise managers is positively correlated with innovation R&D investment, higher education level will increase R&D input; The tenure of enterprise managers has a positive impact on enterprise innovation R&D investment. The longer the tenure, the more willing to increase the R&D investment. The significance test between the age of enterprise managers and the R&D investment of enterprises did not pass, indicating that managers do not ignore the importance of innovation because of their age. The age heterogeneity of enterprise managers is negatively correlated with the R&D investment of enterprise innovation. The higher the age heterogeneity is, the lower the R&D investment will be. The heterogeneity of managers′ tenure has a negative impact on enterprises′ innovative R&D investment, the greater the difference in tenure, the worse the increase in R&D investment; The heterogeneity of managers′ education level is unrelated to R&D investment, and the difference between managers′ education level does not affect their attitude towards R&D investment. The relationship between title heterogeneity of enterprise managers and innovative R&D investment has not passed the significance test. Like the heterogeneity of education level, the heterogeneity of title does not affect the importance of innovative R&D in enterprises. Innovation R&D investment plays an intermediary role in the relationship between title, education level, tenure and enterprise performance in the characteristics of corporate managers′ biographical human capital. There is no intermediary effect between the age of enterprise managers and enterprise performance, and the age of managers will not affect the R&D investment of enterprises and thus affect enterprise performance. Innovative R&D investment plays an intermediary role in the relationship between age heterogeneity, tenure heterogeneity and enterprise performance in the non-biographical human capital characteristics of enterprise managers. There is no mediating effect between the heterogeneity of managerial title, educational level and enterprise performance. 
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