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    20 October 2020, Volume 41 Issue 10 Previous Issue    Next Issue

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    Core technology breakthrough path and mechanism of China′s high-speed rail industry
    Li Xianjun, Xiong Yu, Feng Kun
    2020, 41(10): 1-10. 
    Abstract ( 444 )  

    Lack of core technologies has long been the weakness and bottleneck for China′s industrial innovation and international competition. Mainstream innovation and technology catch-up theory is very lacking in the literature dedicated to studying the evolution mechanism of industry core technology. Previous domestic studies of China′s industry core technology still lack systematic summary and high-quality research. China′s high-speed rail industry developed from nothing is what latter countries can learn to catch up with the developed countries. Unlike the big but not powerful automobile industry and other manufacturing industries, China′s high-speed rail industry has not only absolutely become ahead of the world in mileage, but also achieved breakthrough or catch-up in many core technology areas. So far, however, the evolution, breakthrough path and mechanism of China′s high-speed rail industry core technology have still not been systematically studied.
    Based on the longitudinal multi-case empirical analysis of the three core technology breakthrough processes of three enterprises in China′s high-speed rail industry, this paper finds that China′s high-speed rail industry core technology has experienced the evolutionary path from functional core technology to performance core technology then to reliability core technology; in the process of core technology breakthrough, reverse learning and forward learning both play an important role, while different core technology breakthrough stages match different learning models. This study reveals the path and mechanism of China′s high-speed rail industry core technology evolution, enriches the research on the micro-mechanism of technology evolution, deepens the technology catch-up theory in the Chinese context, and enriches the theoretical research on technology innovation in the developing countries.
    At the same time, this study is of great practical significance for Chinese enterprises and governments to understand the laws of industry core technology evolution, optimize core technology countermeasures and mechanisms, and break through the core technology blockade from the United States and other western countries.

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    A study of the action mechanism of external audit quality on innovation activities of enterprises
    Xu Jianwei, Chen Yanbin, Liu Kun
    2020, 41(10): 11-20. 
    Abstract ( 362 )  
    Based on historical research, the external audit function plays a critical role in corporate external governance. When the quality of external audit of an enterprise is improved, high-quality accounting information will be delivered to enterprises both internally and externally. Therefore, high-quality accounting information will alleviate internal agency problems of enterprises, reduce short-sighted behaviors of managers, and improve the attention of managers to innovation activities. Furthermore, such information will reduce the cost of investors obtaining enterprises′ information, provide more credible and accurate information regarding enterprise operations to parties that finance enterprises, and ease the financing constraints faced by enterprises, thereby enabling enterprises to have sufficient funds to support innovation activities. Therefore, we hypothesize that better-quality external audit potentially promotes innovation investment and the long-term stable growth of enterprise value.
    Based on data of Chinese listed companies in 2007—2017, we construct an empirical analysis model to verify the aforementioned hypothesis. In our model, the dependent variable (enterprise innovation) is measured using the ratio of an enterprise′s research and development (R&D) investment to its total assets. Subsequently, the main explanatory variable (audit quality) is measured using audit fees. Simultaneously, we control for other variables, such as enterprise scale, asset liability ratio, net cash flow, asset return ratio, the proportion of major shareholders, whether the chairman and general manager are the same person, scale of enterprise plant asset, and listed period. The empirical results reveal that high-quality external audit can effectively promotes enterprise innovation activities, thus supporting the aforementioned hypothesis and verifying the effect of audit quality on enterprise innovation activities.
    We seek to confirm that the effect of external audit quality on enterprise innovation occurs through two channels: the reduction of agency costs and the easing of financing constraints. We construct two intermediary variables—agency cost and financing constraints—to test the transmission mechanisms. We find that high-quality external audit has a significantly positive effect on enterprise innovation activities through the two intermediary variables of agency cost and financing constraints. Therefore, high-quality external audit can promote the innovation activities of enterprises by reducing agency costs and alleviating the financing constraints of enterprises.
    Our research theoretically enriches our understanding of the mechanism through which external corporate governance influences enterprise innovation;it also prescribes practical measures such as the optimization of corporate governance and the financing environment, creating a general climate conducive to enterprise innovation, and improving the innovation ability of enterprises.
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    Organizational learning and legitimacy acquiring within transnational alliances: A case study of SME′s internationalization
    Zhang Huayao, Gao Meilan, Xu Jiaying
    2020, 41(10): 21-29. 
    Abstract ( 221 )  
    As more and more Chinese small and medium-sized enterprises(SMEs)go abroad to face international competition, a series of problems appear one after another within the new institutional environment. Among them, the lack of cognition by international customers has become the main obstacle of the SMEs internationalization. At present, more and more studies regard strategic alliance as an important way to solve this problem. This stream of research hold the idea that demonstration effect and isomorphism effect is the mechanisms of obtaining cognitive legitimacy by establishing alliance.
    This paper argues that since technology plays an important role in alliances, the effect of technological learning should also be an important factor affecting customer′s cognition, so this study analyze the cases of successful international alliance of Chinese SMEs, to explore how they can overcome the cognitive constraints in their growth through alliance with international established enterprises, so as to clarify the impact of organizational learning on cognitive effect. In this research, we adopt a process of gradually focus. In line with the research theme of SME′s internationalization, 26 cases are selected from more than 100 multinational alliance being inspected. From them, 10 representative cases are selected to conduct qualitative analysis. The underlining logic of this selection is to find out those typical ones in showing the regular appearance according to the variance of organizational learning performance. Finally, four cases are selected for purpose of deep analysis.
    The main findings are: 1) About alliance types and legitimacy acquisition effect: no matter what kind of alliance, it has a certain effect on the acquisition of alliance partners′ cognitive legitimacy. With the deepening of contact and the increase of organizational learning types, the demonstration effect, isomorphism effect and technology learning effect are gradually superimposed, and the effect of cognitive legitimacy acquisition is better; 2) About the role of alliance partner: alliance partner play a key role in the acquisition of legitimacy. It is not only the key subject endowed by legitimacy, but also the bridge of legitimacy diffusion to peripheral stakeholders; 3) About technical learning in legitimacy acquisition: according to the different types of organizational learning, different learning effects are produced, and the isomorphic effect of organizational learning makes both the core and the peripheral key stakeholder′s cognition improved, while the learning effect of technology has strong cognitive identity to alliance partners through the strongest stimulation of economic interests, which produce further demonstration and isomorphic effect.
    This study has two main theoretical contributions in revealing the legitimacy acquisition mechanism of organizational learning in the alliance environment:(1) the importance of technology learning effect to the legitimacy acquisition of multinational alliance partners is confirmed and analyzed with rich materials from multiple cases, which is also a supplement to the demonstration effect and isomorphism effect theory in the field of legitimacy; (2)the mechanism of demonstration effect, isomorphism effect and technology learning effect is summarized with abundant case materials. This process reveals the legitimacy acquisition mechanism in different alliance situations. The above two theoretical contributions reveal the role of organizational learning in the acquisition of legitimacy in alliance environment. This theoretical contribution has a practical inspiration for the current SME′s internationalization in using legitimacy alliance to promote the cognition of overseas consumers.
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    Impact of routine replication on bootleg innovation: The moderating effect of network closure and knowledge base
    Wei Long,Dang Xinghua
    2020, 41(10): 30-39. 
    Abstract ( 274 )  
    With the goal of building a world scientific and technological power, and the transformation of China′s economy from high-speed growth to high-quality development, the process of establishing collaborative network connections in technological innovation is becoming more and more important. The key conditions to implement innovation driven strategy is embedded in the global open innovation network. Bootlegging as the deviant practice process that has no formal organizational support is undertaken with the aim of producing innovations that will benefit the company. Bootleg innovation can help the company to enhance the innovation capability and performance. However, previous persistence studies have mostly focused on the paradox of destructive and constructive innovation, which ignored the function of routines replication that is an important strategy for network organizations′ value creation. Routines replication can help network organization to deconstruct the network routines of existing successful enterprises to improve the ecological position, however, it may cause replication dilemma when network routine is not matching with the environment. Meanwhile,existing studies have not been clarified the root cause of bootleg innovation and the context dependence of routines replication in technology innovation network. To uncover the mechanism of bootleg innovation in technology innovation network and the relationship between routines replication and bootleg innovations are becoming an important unresolved theoretical problem.
    In view of practical background and the above research status, to fill these gaps while integrating previous research, this research extends the concept of bootleg innovation from individual level to organization level, and analyze the impact of routines replication on bootleg innovation based on the contingency perspective of paradox integration, and then constructs the theoretical framework of "routines replication-bootleg innovation" based on theoretical analysis and propose hypotheses. Routines replication covers two dimensions: conventional routines replication and flexible routines replication. Meanwhile, this research further examines the moderating effects of network closure and knowledge base, and the interaction effects among them. Then an empirical test was made by the method of questionnaire survey, the survey was based on the R&D intensive industry such as electronics and information technology industry. Snowball sampling was used to construct technological innovation network, and the relevant hypotheses were tested by correlation analysis and multiple regressions model on the survey data with the help of SPSS 22.0.
    Our results show the following conclusions: technology innovation network routine replication, network closure and knowledge base are the key conditions for technology innovation network bootleg innovation. Conventional routines replication and flexible routines replication have significant positive effect on technology innovation network organization bootleg innovation. The high network closure positively moderates the effect of conventional routines replication on bootleg innovation, but have no significant effect on flexible routines replication. The high knowledge base negatively moderates the effect of conventional routines replication on technology innovation network organization bootleg innovation, but have no significant effect on flexible routines replication. Technology innovation network closure and knowledge base also have different joint moderate effects, four ego network configurations are obtained by ambidextrous combing the advantages of network closure and knowledge base, such as closed-specialized network, closed-diverse network, open-diverse network and open-specialized network. The joint moderate effects of network closure and knowledge base inhibit the relationship between flexible routines replication and technology innovation network organization bootleg innovation, but have no significant effect on the relationship between conventional routines replication and bootleg innovation.
    The conclusions of the study provides a new perspective for further study of technology innovation network organization bootleg innovation, enriches the research contents of routines replication. This research can promote the understanding of enabling condition and the multiple matching mechanisms of bootleg innovation. Following the thought of "poverty leads to change", this research opens the black box of routines replication to overcome the replication dilemma and deconstructs the two paths from routines replication to bootleg innovation, which also cracks the selection preference and context dependence of bootleg innovation in technology innovation network. The conclusions of the study will contribute to routines replication theory, bootleg innovation theory, innovation network theory, innovation network governance theory and innovation ecosystem theory. At the same time, this research also has certain management implications for enterprises. On the one hand, enterprises should pay more attention to the enterprise R&D environment to balance the tension between autonomy and accountability in the generation of innovations. On the other hand, enterprises should imitate the leading enterprises to design their own technical system and abolish the institutionalized law of time to realize the pursuit of underground innovation activities. This research provides useful theoretical support and practical guidance for enterprises to implement bootleg innovation strategic decision-making in technology innovation network so as to construct a moderately loose innovation ecosystem.
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    Influence mechanism and effect of corporate tax incentives on R&D investment
    —Time trend, effective boundary and innovation output
    Liu Jingjian, Zhao Gexin, Li Huizhu
    2020, 41(10): 40-53. 
    Abstract ( 252 )  
    In the background of the gradual economy recovery from the financial crisis, economic development in China is still in a period of superposition and transition, and the key to solving development problems lies in innovation. The tax burden of enterprises is an important factor affecting economic development. At the same time, the corporate tax burden became a hot topic at that time, and the corporate tax burden was an important factor affecting economic development. In 2017, when the supply-side structural reform deepened, China would further implement the policy of tax reduction and fee reduction. The higher tax burden reduces the expected income and raises the financing cost, which is especially bad for enterprises′ innovation. How to stimulate R&D investment through tax policies has also become a competitive activity practiced by the government.
    In order to promote R&D investment, the Chinese government has issued a series of tax incentives. Among them, the pre-tax deduction policy on R&D expenses is the most impressive, and it has played an active guiding role in promoting scientific and technological innovation of enterprises, upgrading industrial structure, and building an innovative country. In 2006, the Ministry of Finance and the State Administration of Taxation(SAT) carried out the "Notice on Preferential Corporate Income Tax Policies on Enterprise Technological Innovation". Except for full deduction for businesses′ R&D expenses, it is allowed extra 50% deduction in the current year before the enterprise income tax. In 2008, with the reform of tax, the SAT has clarified the definition of R&D activities, but mainly for high-tech enterprises, and then it expanded the accounting extent in 2013. In 2016, the range of benefit object was expanded to resident enterprises that have sound accounting, conduct auditing and collection, and can accurately collect R&D expenses. Since corporate income tax is the basis for the extra deduction of R&D expenses, it not only directly affects the retained earnings of reinvestment, but also affects the motivation and intensity of R&D investment. Therefore, it is particularly important to reveal the mechanism and effect of corporate tax incentives affecting R&D investment.
    Considering the existing research, there are still some limitations. First, few studies have analyzed the mechanism of corporate tax incentives on R&D investment from the perspective of financial decision-making, such as capital costs, required return and owned capital. Therefore, it is necessary to conduct research on the financial decision-making path of corporate tax incentives on R&D investment. Second, the relevant research mainly focuses on the impact of corporate tax incentives on the "quantity" of R&D investment, but there is little discussion on the "quality" of innovation output, that is, whether tax incentive improves innovation output due to the increase of R&D investment or efficiency?
    This paper analysis how tax incentives affect R&D investment through multiple paths. First, tax incentives can help reduce the capital cost of R&D investment, increase the company′s after-tax profits, and mobilize the enthusiasm of the company′s R&D investment. Second, tax incentives can increase or inject R&D investment resources, reduce the marginal cost and uncertainty of R&D efforts, and diversify R&D investment risks, which promote R&D investment. Third, tax incentives can convey a positive signal to external investors to attract external financing, which in turn helps companies obtain R&D investment resources. Finally, both expenses and capitalized expenditures in R&D investments can be regarded as non-debt tax shields, reducing corporate tax burdens. Therefore, policies such as extra deductions for businesses R&D expenses have strengthened incentives for tax avoidance.
    The research expects to clarify the mechanism and effect of corporate taxation on R&D investment. First, by constructing an agency model of corporate shareholders and external investors, we reveal the transmission path of tax incentives on R&D investment in different scenarios of no tax, normal tax rate and super deduction policy, and further explore the mechanism on innovation output; Second, this paper use panel regression model to empirically analyze the effect of corporate tax incentives on R&D investment, identify effectiveness boundary conditions, and further discuss the intermediary path to innovation output.
    Through constructing the agency model about corporate shareholders and external investors, this paper finds that tax incentives can lower the required rate of return and financing costs, and exhibit income effects increasing R&D investment and outputs, especially additional R&D deduction policy has dual effects of value guidance and joint incentive. Using the data of listed companies in China from 2007 to 2015, panel regression results show that: effective tax rates display a downward trend while R&D investments upward; the incentive of corporate tax on R&D investment has a boundary that is effective within the areas of low tax rates and high R&D intensity and less with others. The promoting effect of corporate tax incentives on output primarily results from R&D investment increasing. The conclusions provide references for the effectiveness of tax policies, increasing R&D investment and stimulating corporate innovation. 
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    A study of the research & development and long term risk under financial constraints
    Hao Qingmin
    2020, 41(10): 54-62. 
    Abstract ( 234 )  
    The investment of research and development is an important factor to improve the corporate competition level. The risk of innovation investment is relatively higher than the general capital expenditure. When the top management team plan on the investment of research and development, they usually afraid the failure of the R&D investment and the related financial risk. 
    Based on the theory of the corporate financial constraints, the investment of research and development always follow by the financial risk. Does the investment of R&D increase the corporate financial uncertainty significantly? How much R&D investment is suitable for the Chinese company to avoid increasing the financial risk? 
    In order to answer the above questions and test the hypothesis, we collected the panel data include 1983 samples of 661 Chinese listed company in manufacturing industry from the year 2013 to 2015. The three R&D variables include the research and development intensity (RDI) in which the R&D expenditure is divided by the sales income, the R&D density (RDA) which the R&D expenditure divided by the total assets, and the logarithm of R&D investment quantity (RDL). The long-term financial risk variables include the Altman Z score index and the standard deviation of operating net profit rate. The nonlinear models are used to test the relationship between the R&D and long-term financial risk.
    The main results are shown as follows: Firstly, without considering the financial constraints, in most Chinese listed company of manufacturing industry, there is the U style relationship between the R&D density investment and the long-term financial risk. The general R&D investment will decrease the financial uncertainty. The long-term financial risk will increase after the R&D density point of 5.75%. These kinds of cases usually happened in the state-owned enterprise and large sized listed company of China. Secondly, under the condition of financial constrain, the money and resources of R&D investment is limited. The relationship is aggravated with the flat J shape correlation between the R&D and long-term financial risk. When the R&D intensity is around 3%, the long-term financial risk is minimum. The financial constrain will increase the affections between the R&D and financial risk. Especially in private and small sized company. Finally, and in briefly, for most company, there is a suitable R&D investment region level from 3% to 6% that not significantly increase the long-term financial risk.
    The result is also checked through some robustness test. Some management suggestions for the decision makers are concluded. In order to balance the R&D investment and long-term financial risk, the top managers need to make the decision on the suitable R&D intensity and density based on their company′s income and assets conditions. Refer to the R&D investment region level, the volatility of the corporate financial pressure will not be changed significantly. The R&D policy makers also need to consider the corporate characteristics and size of income and assets to introduce the different incentive policy for innovation investment.
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    Innovation failure, failure recovery and continuous innovation behavior of the innovation team——The moderating effect of team innovation passion
    Xie Yaping, Chen Ruijun
    2020, 41(10): 63-71. 
    Abstract ( 258 )  
    With the vigorous development of the global scientific and technological revolution, the technological innovation in the form of team is becoming an important core force of economic development. Due to the uncertainty and high risk in the process of innovation, innovation failure becomes more common. The economic, social, physiological and psychological problems brought about by the failure have hit the enthusiasm and confidence of innovators, making the members of the innovation team in a slump. However, the existing research also realizes the value of innovation failure, and believes that previous failure experience is conducive to the occurrence of subsequent innovation behavior, and can provide opportunities for innovators to reflect and self-study. As a high-level learning method, failure recovery plays a key role in the subsequent restart of innovation. However, how does the innovation failure come out of the failure to achieve the state of recovery, what is the process of recovery, and whether innovation failure recovery is an effective path linking technological innovation failure to continuous innovation behavior? In addition, the emotional role of the psychological level can not be ignored. What role does the innovation passion of team members play in the recovery of failure? These are the urgent problems faced by team innovation members. However, the related research is slightly weak. This paper is based on these weaknesses for the technical innovation team of science and engineering theory and practice guidance.
    This paper mainly focuses on the following aspects:(1) this paper systematically reviews the current research status; (2) from the characterization of technological innovation failure, it divides technological innovation failure into failure frequency and failure Chengdu; the recovery of innovation failure is divided into problem response and emotional response; the team innovation passion is divided into collective identity and common positive emotion, and team technology innovation failure is constructed the relationship model of innovation failure recovery and continuous innovation behavior and puts forward the corresponding research hypotheses; and (3) this paper conducts empirical analysis on 346 valid samples collected from 62 teams, verifies and discusses the proposed hypothesis and model, and obtains the corresponding theoretical and practical enlightenment.
    It is found that there is an inverted U-shaped relationship between the number and degree of technological innovation failure and continuous innovation behavior. Innovation failure recovery can be divided into two dimensions: problem coping and emotional coping, which plays a partial mediating role between technological innovation failure and continuous innovation behavior. Technological innovation failure affects the recovery of innovation failure through the inverted U-shaped curve effect, and then affects the continuous innovation behavior. The effect of failure recovery is directly related to whether the failure can restart innovation and achieve innovation success. Team innovation passion moderates the relationship between innovation failure recovery and continuous innovation behavior. 
    Based on the above conclusions, this paper integrates the process framework of "technological innovation failure, innovation failure recovery, continuous innovation behavior". This research puts forward the countermeasures and suggestions from four aspects: innovation team formation and management, innovation failure management, team emotion management, and policy support, in order to provide theoretical and practical guidance for the failure of the innovation team. This paper enriches the theory of failure recovery, makes up for the lack of theoretical research on innovation passion, and broadens the relevant theoretical research on the influence of emotion on innovation process.
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    A research on the impact of transformational leadership on employee creativity from the failure perspective
    Lu Yanqiu, Pang Lijun, Wang Xiangyang
    2020, 41(10): 72-80. 
    Abstract ( 242 )  
    Employees consist of the basic component unit of the enterprise,whose creativity is the power source of the enterprise′s continuous innovation. And teams have been widely adopted by enterprises as an effective way to give full play to employee creativity. The risk of innovation makes the tempering of employee creativity in the team often coexist with failure. As an effective way of leadership,transformational leadership influences the formation mechanism of employee creativity through group factors,which has become the focus of the theoretical realm. Social information processing theory believes that the behavioral clues of important others in the environment will firstly affect the formation of shared norms,ideas and values of group members,and then individual attitudes and behaviors will be affected as well. Transformational leaders in the team always have a strong personality charm,whose words and deeds often offer important external clues for team members to form shared perceptions,in other words,shared belief about failure. And such kind of belief could guide the team members confront failures from positively view,then learn from the failures,thus to enhance creativity.
    On the basis of failure perspective,social information processing theory is applied to explore the cross-level influence of transformational leadership on the employee creativity,as well as the mediating effect of shared belief about failure and the moderating effect of employee′s sense of belonging.Data of 302 leader-employee groups in 60 teams have been obtained to make analysis and the results show that (1) There is a significant positive cross-level influence of transformational leadership on the employee creativity,also the same on shared belief about failure;(2) Shared belief about failure has a cross-level mediating effect on the relations of transformational leadership and the employee creativity;and (3) Employee′s sense of belonging has a positive moderating effect on the relationship between shared belief about failure and employee creativity.
    With incorporating transformational leadership, shared beliefs about failure, and employee creativity into one analysis framework, this paper establishes connections among leadership theory, failure learning theory as well as creativity theory, expanding the existing research on the influence mechanism and multi-contextualization of transformational leadership on employee creativity, deepening the insight into the boundary conditions of transformational leadership′s influence on employee creativity in the meanwhile. The practical implications of this paper are as follows: firstly, enterprises should focus on cultivating team leaders with a spirit of change,and improve managers′ business capabilities,vision building capabilities,as well as innovation awareness by means of comprehensive and systematic training. In addition,particular attention should be paid to whether the candidate has the above-mentioned abilities and characteristics in the leadership selection process. Secondly,in the process of enhancing the creativity of employees,leaders should pay enough attention to the shared belief about failure by instilling "positive energy" such as exploitation and innovation,being fearless when encountering with difficulty,etc. into the team,establishing a correct concept of failure to improve employee creativity through continuous learning. Thirdly, leaders should always pay attention to employees′ understanding and participation in team activities,and enhance employees′ sense of belonging by creating a "team-like home" atmosphere as well as constructing mechanisms of team interaction and mutual respect,thus to enhance employee creativity.
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    Major achievements and development direction in construction of China′s science and technology innovation policy system
    He Defang, Zhou Huadong, Chen Tao
    2020, 41(10): 81-88. 
    Abstract ( 464 )  
    A new round of scientific and technological revolution and industrial transformation are converging currently with the transformation of China′s development pattern. Profound changes have taken place in the economic environment at home and abroad. Facing the goal of building an Innovative Country and Advanced Country in science and technology, it is particularly important to optimize China′s science and technology innovation policy system and improve the effectiveness of national innovation system, so as to activate new driving force of high-quality development. This paper reviews the history of China′s science and technology system reform since the Reform and Opening Up, then proposes eight major components of science and technology innovation policy system, analyze the progress and achievements of the reform in key areas, such as strengthening the elements, enhancing innovation body′s function, improving the mechanism, cultivating industries, area development, optimizing the environment, and opening up. It is concluded that the scope of China′s science, technology and innovation policies have been extended from the field of scientific research to the related fields of economy, society and government governance. The policy focus has shifted from scientific research management to innovative services. The beneficiaries have been extended from scientific and technology personnel to all the social groups. 
    The science and technology innovation policy system has covered a wide range of areas and tools. So far the policy has achieved good implementation effect. Due to the current development trend of science and technology innovation at home and abroad and the requirements of high-quality economic development, the science and technology innovation policy system in the new era should fully reflect new demands and requirements. This paper puts forward some thoughts and suggestions on how to improve the science and technology innovation policy system in the future, including strengthening basic research and primary innovation, improving evaluation system, stimulating the enthusiasm of talents for innovation, promoting openness and innovation at a higher level, and creating an innovative environment for fair competition. Meanwhile, it is necessary to strengthen capacity building for policy research on scientific and technological innovation. 
    In the future, it is necessary to keep science and technology innovation policy be goal-oriented and problem-oriented. We need to deepen the reform of the science andtechnology system, actively carry out institutional and policy innovation, in order to build a more mature and well-formed system of science and technology innovation policies. All of the above measures will contribute to the development of the national innovation system, so as to support high-quality development and ensure national security.
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    Financial misallocation, political connection and innovation output of enterprises
    Ran Maosheng, Tong Xiaoge
    2020, 41(10): 89-97. 
    Abstract ( 263 )  
    Strengthening the independent innovation ability of enterprises is the core of building an innovation-oriented country.How to effectively improve the independent innovation ability of enterprises has become a key problem to be solved in the process of building an innovation-oriented country.The formation of enterprise innovation ability is inseparable from the support of resources.However, China′s economic structure is facing transformation and upgrading, and the rules and regulations in the market economy are not perfect yet.Excessive government intervention in the financial market and unreasonable administrative control will lead to serious financial mismatch in the financial system.The existence of financial mismatch has a complex impact on all aspects of China′s economic activities, and enterprise innovation is one of the important aspects. 
    Based on the financial mismatch phenomenon existing in the financial market, this paper uses the micro data of China′s private listed companies from 2003 to 2015 to calculate the financial mismatch index and external financing dependence, and adopts the systematic GMM method to verify the impact of financial mismatch enterprise innovation from the perspective of political correlation.The results show that financial mismatch significantly inhibits enterprise innovation output, especially for invention patents with high gold content, and the political association of private enterprises has a significant negative regulating effect on the relationship between them.By further exploring the regulating mechanism of political association activities, it is found that the regulating function of political association is to influence the relationship between financial mismatch and enterprise innovation output by affecting the external financing constraints of enterprises.
    The findings of this study have the following two contributions.First of all, the research of this paper reveals to some extent the mechanism of financial mismatch influencing the innovation of China′s private enterprises, thus providing new evidence for the innovation and development of China′s private enterprises.That is to say, because the government′s administrative monopoly of the market, making the financial mismatch in financial markets, leads to the financing cost is generally higher than that of state-owned enterprises, private enterprises at the same time because of the private enterprise itself "limits", such as small scale, weak anti-risk ability, lack of collateral and other objective factors, makes the mismatch form the financial factors of high cost further with serious financing constraints problem of private enterprises, thereby inhibiting its innovative activities.Secondly, the conclusion of this paper finds that a good political association with the government can reduce the negative effect of financial mismatch on innovation activities of private enterprises.Political association activities can through information effect and resource effect to alleviate financial wrong matching private enterprise financing constraints problem, the conclusion is not only support the political association activities can help private enterprises to obtain scarce resources under government control "helping hand" point of view, and also provide a new angle of view for the development of the theory of enterprise innovation.
    The research conclusion of this paper has positive enlightenment significance to improve the innovation activities of private enterprises in China.
    First of all, is conducive to further improve the marketization of the financial system in China, get rid of the government′s administrative intervention. The freedom of the financial markets to relieve the state sector financial "crowding out" of the private sector and the private sector in the political affiliated enterprise of non-political affiliated enterprise financial "crowding out", correct financial mismatch phenomenon in financial markets.To create a relatively fair competitive financing environment for different ownership and different types of enterprises in the private sector.
    Secondly, we should promote the establishment of a more perfect formal guarantee system to further improve the macro policy environment for the development of private enterprises.Private enterprises are faced with many institutional problems in the process of development. Only by establishing a complete formal guarantee system can the operational risks of private enterprises be reduced and the good expectations of market subjects and fund suppliers for the healthy growth of private enterprises be enhanced.
    Finally, enterprises should strengthen their own capacity building and improve their financing capacity.Compared with other activities, enterprise innovation activities face more severe external financing constraints, which are not only related to financial mismatch at the macro level, but also related to enterprise self-construction at the micro level. In order to eliminate the information asymmetry between enterprises and financial institutions to the greatest extent.Enterprises should strengthen the construction of their own credit system and establish a sound information disclosure system, so as to ease the external financing constraints faced by enterprise innovation activities.
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    Diversified spatio-temporal evolution of innovative collaboration meta-networks in megaprojects
    Li Yongkui, Chang Cheng, Li Biao
    2020, 41(10): 98-104. 
    Abstract ( 256 )  
     In response to rapidly changing situations, cross-organizational cooperation has become a common phenomenon. Organizations have begun to carry out innovation activities with the help of the cooperative relationship, which could comprehensively enhance their work efficiency. Also, the technological innovation network will change in time and space. Therefore, it is of great significance to map these changes and identify their rules for improving the construction quality and innovative capability in the AEC (Architecture, Engineering and Construction)field. However, few pieces of research have been done in this field.
    Based on the Tien-yow Jeme Civil Engineering Prize of China, this paper generates the innovation collaboration network of megaprojects by using a dynamic meta-network analysis method, analyses its evolutionary characteristics, and identifies its key nodes. The results show that the innovation collaboration network of megaprojects with Tien-yow Jeme Civil Engineering Prize is a small-world network with low density and polycentricity. However, the key organizations with high centrality and intermediary are not the same. 
    Then this paper takes a deeper look into the spatio-temporal evolution characteristics of the whole network by examining the consistency index of project location and enterprise location, since the region exerts the vital influence on AEC organizations among characters of "region, industry, internal and external environment". Therefore, the result shows that the companies whose headquarters locate in big cities in eastern and central areas of China occupy the critical positions in the network. Beijing, Shanghai, Wuhan, Guangzhou, and Chengdu have become AEC innovation centers in the north, east, middle, south, and west respectively. However, there are few large-scale AEC innovation organizations in the northeast, west and southwest, which reflects the imbalance in regional development. When the influence of time is taken into account, it is found that the value of index measuring geographical consistency remains stable at 0.5 after 2003, which means that local enterprises gain no superiority over external competitors in project construction. With the enhancement of the bidding system and complexity of the project, foreign enterprises began to participate in the bidding, which brings more choices for entrepreneurs. Location and technical strength have become both important facts for entrepreneurs to make decisions, which greatly weakened the strength of local companies.
    In order to study the evolving characteristics of the cooperative network further, this paper summarizes the historical network of Tien-yow Jeme Civil Engineering Prize, which shows the characteristic of polycentricity. But the center of the network is not obvious. It also shows that megaprojects ′s technological innovation does not depend on a few key organizations, but is driven by regional innovation centers emerging with the development of the whole industry. When the paper takes a further look at the characteristics of the key node within the network, the paper finds that a little number of enterprises have become key nodes of the network over time. What′s more, state-owned enterprises have become the main body of innovation network, and local enterprises play an intermediary role within the network. This is mainly due to the advantages of state-owned enterprises in technology, employees′ quality, resource and social capital.
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    A research on the dynamic mechanism of innovation consortium based on the game theory
    Bai Jingyu, Liu Zhongquan, Wang Yingjie
    2020, 41(10): 105-113. 
    Abstract ( 386 )  
    Under the current international situation where the United States continues to expand the scope of technology control over China, enterprises and other innovation entities need to strengthen cooperation, effectively improve the depth and efficiency of innovation cooperation, so as to rapidly improve independent innovation capabilities. The United States sanctions against ZTE has further exposed the issue that the core technology in some fields is subject to the control of other countries. The key core technology is an important support for enterprises to break through the technical bottleneck and realize sustainable development and breakthrough development. The breakthrough and acquisition of key core technology requires joint innovation of multiple resources. In 2018, General Secretary Xi Jinping clearly stated at the second meeting of the Central Finance and Economics Committee that leading companies should be supported to integrate the strength of scientific research institutes and universities and establish innovative consortium. This article believes that innovation consortium is different from previous forms of strategic alliances, industry-university-research cooperation, etc., but a new kind of entity organization or equity-related alliance. Each participant should have certain investment in funds, talents, technology, infrastructure and other ways, and form a win-win cooperation mechanism through equity allocation and sharing mechanism.
    The practice of Jilin Province "New Energy and Intelligent Network Connected Automobile Industry Innovation Consortium", "Pharmaceutical Industry Science and Technology Innovation Consortium", Beijing "Life Science and Health Collaborative Innovation Consortium", and Jiangsu Province "Photovoltaic Industry Innovation Consortium" show that the innovation consortium is conducive to the collaborative tackling of key common technologies, the integration and development of large and medium-sized enterprises and the industrial basic ability improvement.
    The establishment of an innovation consortium is conducive to breaking the dilemma of insufficient innovation capabilities of a single entity in China, improving innovation efficiency, and providing new ideas and perspectives for breaking through the key core technologies of the industry and improving the basic level of the industrial chain. Based on game theory, this paper constructs a repeated game model, analyzes the motivations of innovation consortium members to participate in joint innovation, explores the dynamic mechanism of innovation alliance. It is found that when the positive feedback of cooperative R&D is large, enterprises are willing to cooperate even if the initiative is small. The number of cooperation determines whether the enterprise is willing to take cooperative R&D behavior. When the number of cooperation is relatively large, there is a relationship of mutual trust between the members of the innovation consortium, which is easier to achieve cooperative R&D. The reciprocal investment of the innovation consortium participants in cooperative R&D is conducive to the stability of the cooperative relationship, and the willingness of enterprises to conduct cooperative R&D increases with the increase in the probability of cooperative behavior by universities and research institutes.
    From the perspective of encouraging enterprises to actively cooperate with various innovation entities to establish innovation consortium and stabilize the cooperative relationship of innovation consortium, this research proposes policy recommendations from four aspects: establishing restraint mechanisms, strengthening early guidance, improving the policy environment, and connecting innovation system, which provides support for improving the level of innovation consortium and stabilizing the cooperative relationship between participants.
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    A study of the leverage effect of the joint equity of government venture capital guiding funds (GVCGF)
    Yang Minli, Jiao Feifei, Dong Jianwei, Yao Helang
    2020, 41(10): 114-124. 
    Abstract ( 237 )  
    Along with China′s releases of the government venture capital guiding funds (the GVCGF) and the development of the Venture Capital Market, the methods to evaluate the effect of the GVCGFs on the operation of the joint equity investment become a key research target. To address this, we research on the leveraged effect of the guided fund joint venture investment by collecting matching samples from the PE data Database and by employing the PSM (Propensity Score Matching) method. 
    The research reveals three significant findings.First, the leverage effect of GVCGFs joint equity investment in the low-reputation VCFs is significantly higher than that in the high-reputation ones, which supports the "Certification Effect Hypothesis". This demonstrates the domestic investors′ confidence in and recognition of the capacity of the venture capital funds of GVCGFs. This also becomes a favorable signal to use the venture capital market to assess the quality of the venture capital funds in a bid to make decisions on the joint equity investment. 
    Second, the leverage effect of GVCGFs joint equity investment in the state-backed VCFs is considerably higher than that in the non-state-backed VCFs, which does not support the "Political Connection Hypothesis". This shows that those resources-enriched VCFs work together can magnify the leverage effect to the utmost extent. This also entails that those VCFs which have much more abundant resources are more likely to collaborate with the government in a bid to optimize the benefits from the GVCGFs. 
    Third,the leverage effect of GVCGFs joint equity investment in those VCFs from the developing venture capital regions is noticeably higher than the ones from developed venture capital regions, which supports the "Virtuous Cycle Hypothesis". This shows that the GVCGFs has guided the social capital to move into the developing venture capital regions in a joint-equity way. This signals a virtuous cycle in the domestic venture capital market and expresses the real aim of the Chinese government in setting the GVCGFs. 
    This paper measures the policy effect of the GVCGFs through the perspective of joint-equity investment. The research not only helps to divide the investment participation category into two types, referring to solo equity participation and joint-equity participation but also contrasts their influence on the leverage effect. This helps to expand the research scope of assessing the policy effect of the GVCGFs participating in the practice of venture capital. Moreover, the research demonstrates that the heterogeneity between venture capital funds and an obvious regulative effect on the measurement of the policy effect of the GVCGFs. Specifically, the better evaluation of the effect of the GVCGFs policy relies on guiding GVCGFs with higher quality to adopt a much effective way of participation to invest. This further helps to maximize the GVCGFs′ policy effect. Meanwhile, in order to attain the maximum policy effect of the government venture capital guiding funds participating in the venture investment, the two powerful government venture capital guiding funds should unite together with the very experienced venture capital funds to take part in the venture capital investment, thus realizing the real leverage effect of the GVCGFs and releasing a good signal to the domestic venture capital market and further promoting the healthy and steady growth of the domestic venture capital market.
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    An analysis of the contributing factors to Japan′s successes in winning Nobel Prize in natural sciences
    Zhao Jinping, Shan Gu, Liu Qixia
    2020, 41(10): 125-133. 
    Abstract ( 218 )  
    While the rapid progress of China′s science and technology has attracted great international attention, the subject of how to train world-class scholars remains an important one that plagues China′s scientific community. The process of cultivating world-class scholars is affected by many factors, and the experiences of neighboring countries frequently receiving Nobel Prizes in natural sciences provide us with good references. 
    This article analyzes trends in the Japanese government′s scientific research system and mechanism reforms, and focuses on JST′s scientific research management mechanism and the funding of strategic basic research. Factors such as the existence of professional scientific research managers with the ability to identify talent and technologies, and effective tracking services, appear to play key roles in Japan′s frequent wins of Nobel Prizes in natural sciences.
    〖JP3〗For the training of world-class scholars in my country in the future, this article proposes the following policy recommendations:〖JP〗
    First, implement top-level design of the scientific research system. Normalize the working mechanism of the inter-ministerial joint meeting of the National Science and Technology Program Management, gather government leaders, entrepreneurs with business achievements, and experts and scholars with academic attainments, so as to better focus on major issues, strengthen collective decision-making, and form a joint management force. Top-level design and implementation of innovation-driven development strategies play a central role. At the same time, according to the world′s scientific and technological development direction and China′s scientific research advantages, the cultivation of world-class scholars as a clear strategic goal is written into the scientific and technological plan according to the research field.
    Second, increase the intensity of setting up strategic basic research projects. Under the guidance of the government, track and analyze new trends in domestic and foreign technological innovation and social development, and carry out technology forecasting and international comparison of technologies, advanced research and judgment, early deployment, and support for important scientific fields and major scientific research issues. Through the establishment of strategic basic research projects, achieve forward-looking basic research, leading to major breakthroughs and original achievements, resulting in socio-economic transformation, scientific and technological innovation, and a new generation of world-class scholars.
    Third, in the implementation of strategic basic research projects, try to introduce a management system with the core of Bole project as the core. Try to establish a top-level expert database by the Ministry of Science and Technology and the National Natural Science Foundation of China, and directly appoint the project leader based on the expert′s research level, research horizon, ability to organize and develop young researchers, and peer evaluation. In addition to being responsible for the operation and management of the entire project, providing overall research ideas, formulating research plans and carrying out fund management, the project leader should also perform the function of a review expert and assemble excellent scientific research talent across departments and fields. In the process of project implementation, the project leader is given the greatest authority.
    Fourth, implement flexible and follow-up management for basic research projects, and solve the difficulties and pain points in project implementation in a timely manner. For projects that have scored well in their evaluation, try to set a buffer period of 1 to 5 years after the end of the project period to continue funding and give the research results a cultivation period. At the same time, a full follow-up service model should be adopted for key projects. The scientific research fund management department sends management personnel to the project implementation unit to take practical measures to coordinate and solve problems that arise in the progress of the project and provide institutional guarantee for the key funded scientific research projects.
    〖JP2〗Fifth, build a team of professional scientific research managers who can tap high-potential talent and technologies. In order to form a professional team of scientific research management personnel, hire employees with work experience, especially those with R&D experience in universities and enterprises, and at the same time increase the exchange of personnel between the fund management department and universities, enterprises, and overseas counterparts. Establish a perfect training mechanism internally.
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    Innovation of collaborative governance mechanism on air pollution and climate change control
    Yi Lan, Zhao Wanli, Yang Li
    2020, 41(10): 134-144. 
    Abstract ( 413 )  
    As two of the most serious environmental problems China is facing, air pollution and climate change have been affecting China′s economic and social development in a growing manner. In terms of governance mechanism, the two problems have been managed by the Ministry of Environmental Protection and the Development and Reform Commission separately in the past. However, with the progression of relevant governance work, the mechanism of divide and rule gradually exposed overlaps problem and sometimes even conflictions, therefore innovation of collaborative governance mechanism is urgently needed. In 2018, China′s State Council implemented institutional reform, and the duty of dealing with climate change was transferred to the Ministry of Ecology and Environment, who immediately declared the need of collaborative governance of air pollution and climate change problems. What kind of mechanism can be established to ensure the realization of this strategic objective, has become a common concern of the political, academic and industrial circles.
    The reason why air pollution and climate change were managed separately in the past, is that large differences exist in the form of how they affect the world while their inextricable connections were not obvious. On the one hand, mitigation of climate change is a long-term process with the needs of global efforts, and the damages it causes might be shown with significant time delays, therefore the cost-benefit of certain control measures is hard to be determined. While on the other hand, the damages caused by air pollution is normally limited to certain region and within certain time frame, and the effectiveness of air pollution control can be objectively evaluated by quantifying the degree of economic loss reduction and health improvements, which is relatively more definite and more straightforward. However, despite these large differences between the two, air pollution and climate change are actually two environmental problems sharing the same origin. Firstly, both are the results of the main emission sources - in the process of economic development, large-scale utilization of fossil fuel such as coal, oil and natural gas emits large number of air pollutants and greenhouse gases at the same time, resulting in air pollution and climate change respectively. Furthermore, there is a feedback relationship between the two. For one thing, as the main component of air pollutants, atmospheric aerosols are the mixture of particles of different sizes such as PM2.5, PM10 and various gaseous pollutants such as SO2, NOx, O3 and so on, which not only can cause air pollution, but also affect the radiation balance of the earth atmosphere or change the optical properties and life span of the clouds, and ultimately change the global climate significantly. For another, climate change can affect the secondary reaction of pollutants by changing their chemical reaction rate, and also disturb the transmission mode of atmospheric pollutants by changing the atmospheric circulation, thus aggravating the regional air pollution. It can be seen that governance of either air pollution or climate change would have an impact on the other, which proves that collaborative governance is feasible. 
    In order to explore the effective mechanism of collaborative governance of air pollution and climate change, this paper attempts to: firstly, sort out the existing governance mechanism and sum up the problems of divide-and-rule; secondly, analyze the complex relationship between the two - same root, homology and mutual influence, and demonstrate the feasibility of collaborative governance; finally, propose an innovative collaborative governance mechanism as follows: (1) From the perspective of collaborative governance body, the Ministry of Ecology and Environment can give full play to its leading role in the administration of air pollution and climate change problems, timely clarify the overlapping of various relevant environmental equity trading systems, make up for a series of loopholes in the existing mechanism due to insufficient understanding of their connections, promote integration of management platforms to reduce execution costs, and use environmental regulation as an external pressure to force the enterprise ecosystem to improve operation efficiency and carry out environmental protection activities; (2) From the perspective of collaborative governance objects, special attention should be paid to the connection between the two which share the same root and of the same origin thus to accelerate the governance of the two with energy transformation being the driving force, take full advantage of past experiences to reduce the cost of governance, e.g. setting up of legal system of climate change can learn from the existing legal framework of air pollution prevention and control, while the handling of cross-border disputes related to air pollution can learn from the experience of climate change negotiations. In addition, attention must be paid to the interference of the relationship between the two. Taking the cooling effect of aerosols into account, a more prudent judgment should be made when formulating the carbon emission reduction plan. The uncertainty brought by climate change to the environmental capacity suggests that more attention should be paid to the usage of meteorological information. (3) From the perspective of collaborative goals, this mechanism aims to improve the efficiency of environmental governance of air pollution and climate change, which will accelerate the pace of energy transformation, so as to "decouple" economic growth from negative environmental externalities, balance the contradiction between environmental improvement and economic growth, and encourage green innovation to lead high-quality economic development.
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    A research on the impact of R&D investment on the growth of petroleum and petrochemical listed companies
    Zhu Zhihong, Gao Jie, Xu Ping, Qiu Shuxiang
    2020, 41(10): 145-155. 
    Abstract ( 184 )  
    With the implementation of the innovation-driven strategy, China is gradually transforming into an innovation-driven country, and the transformation of traditional industries has become an irresistible trend. As a traditional industry, petroleum and petrochemical enterprises have made indelible contribution to the economic development since the founding of New China. At present, under the impact of new energy enterprises, listed petroleum and petrochemical companies are faced with the pressure of insufficient innovation strength, insufficient innovation ability and backward technological products. As the driving force and engine of China′s economic development, the listed petroleum and petrochemical companies must must increase their investment in innovation if they want to continue to maintain their dominant position in the market and achieve sustainable development.
    Based on the above background, this paper takes the data of 112 listed petroleum and petrochemical companies in Shanghai and Shenzhen stock markets from 2015 to 2019 as samples to conduct an empirical research on the impact of enterprise R&D investment on corporate growth. The growth of petroleum and petrochemical listed companies is selected as explained variable, the intensity of R&D funds and R&D input intensity as explanatory variables, the company scale, capital structure and ownership concentration as control variable, and then related data was obtained from the descriptive statistics, correlation analysis, regression analysis and robustness testing. The explanatory variable is the comprehensive index obtained through factor analysis. The explanatory variable is the ratio of the R&D investment intensity and the total assets of the enterprise, and the R&D investment intensity is the ratio of the scientific and technological personnel and the total employees, the control variable is the logarithm of the total assets, the capital structure is the ratio of the total liabilities to the total assets, and the equity concentration is the shareholding ratio of the largest shareholder. 
    Descriptive statistical results show that from 2015 to 2019, R&D investment intensity of listed petroleum and petrochemical companies decreases first and then increases, while that of R&D personnel increases slightly year by year. The empirical analysis results show that: R&D investment significantly promotes the growth of listed petroleum and petrochemical companies, and the impact has a significant lag time, the lag period is three years, especially the second stage has the most obvious impact. R&D personnel investment is positively promoting the growth of listed petroleum and petrochemical companies, but the effect is not significant in the current period and the lag period. The company size has a significant positive influence on the growth of listed petroleum and petrochemical companies, and the capital structure has a significant negative influence on the growth of listed petroleum and petrochemical companies. 
    Finally, based on the research conclusions, it is proposed to create a good innovation environment and encourage the development of China′s petroleum and petrochemical enterprises to transform to innovation-driven development.The study clarifies the concept of enterprise science and technology management, strengthens research and development management, increases long-term sustainable research and development investment, and improves the system of innovative talents. Some suggestions are also proposed in this paper, such as optimizing the capital structure of enterprises and moderately expanding the size of the company.
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    A research on the organization types of science and technology services and combination of support capabilities
    Meng Qingtao1,2, Xu Yusen1, Li Haibo3
    2020, 41(10): 156-163. 
    Abstract ( 191 )  
    In recent years, along with the blowout development of technological service organizations, their service quality and capabilities have been greatly improved, but there still have some problems, such as low levels of specialization, fewer high-end service formats, and weak service capabilities. The existing literature and facts show that our science and technology service organizations are not sufficiently coordinated with "scientific and technological activities" and "industrial activities" to provide effective services for the transfer and transformation of innovation, and their support for industrial economic development is limited.
    This paper selects 8 science and technology service organizations as typical cases, analyzes and summarizes four different industrial symbiosis types of science and technology service organizations using multi-case research methods, and finds out the matching support capacity combination for different types of organizations.
    The main findings of this research are as follows: ① Based on the theory of synergy and symbiosis, the paper enriches the classification of science and technology service organizations in the existing literature. According to the degree of involvement of science and technology service organizations in the "science and technology activities" and "industrial activities" in the innovation chain, this paper constructs a classification matrix of science and technology service organizations, and summarizes science and technology service organizations into four types: forward symbiotic organization, backward symbiotic organization, bidirectional symbiotic organization and platform building organization.② The paper has identified the combination of supporting capabilities in the service process of different types of technology service organizations. Forward symbiosis and backward symbiosis service organizations need to be led by knowledge collaboration and industrial symbiosis capabilities, respectively, supplemented by intra-industry coupling and international connectivity capabilities; the two-way symbiotic service organizations need to be led by comprehensive synergy, supplemented by international connection capabilities; platform-built service organizations need to pay attention to the improvement of their information aggregation capabilities. It should be pointed that under the current rapid development of the open economy, in order to promote the ability of science and technology service organizations, we should attach great importance to the "international connection ability" and give full play to the "cross-border knowledge search" and "cross-border utilization of knowledge". 
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    An empirical research on the driving force of service innovation of manufacturing enterprises
    Zhao Yiwei, Luo Jianqiang, Feng Qinghua
    2020, 41(10): 164-173. 
    Abstract ( 248 )  
     Today innovation has become the fundamental driving force for the survival and development of enterprises. If enterprises want to keep up with the pace of the times, they must use new technologies and new services to improve the product quantity and service quality. Innovation is contained in every process of enterprise management. The innovation process of manufacturing industry includes number of links which include from basic research to application research, then to experimental development and product production and new product launch. The creation and transfer of innovation resources in different links also create a variety of innovation modes. From the micro level of industry and enterprise, compared with other types of enterprises, manufacturing enterprises need to rely on innovation to improve enterprise performance because of its complex process. Under the guidance of service economy, the role of service has become increasingly prominent, becoming the main economic growth zone of enterprises. The application of service innovation in enterprises is increasingly extensive and in-depth. The service innovation of manufacturing enterprises is a series of innovation activities that enterprises carry out around the changes of service content and customer interaction in the whole product life cycle. As the focus of value-added creation in manufacturing industry has shifted to service elements, manufacturing enterprises tend to upgrade and restructure their industries through service innovation, which has become an effective way for manufacturing enterprises to obtain new sustainable competitive advantages. From the macro level, China is already the largest manufacturing country in the world. To realize the transformation from a big manufacturing country to a powerful manufacturing country, it is necessary to improve the quality and level of the development of the manufacturing industry, and to achieve the goal of moving forward to the middle and high-end industries. It is also necessary to continue technological innovation and service innovation. Manufacturing enterprises urgently need to carry out more in-depth and more extensive service innovation. Leading managers of manufacturing enterprises have realized the importance of service innovation. However, at present, the academic research on the motivation of service innovation of manufacturing enterprises is relatively scattered, lacking systematic and complete thinking, and the dynamic mechanism of service innovation is still vague. It is not only an important supplement to the existing service innovation theory, but also helpful to clarify the key points of service innovation management. It is of great practical significance for manufacturing enterprise managers to carry out service innovation pertinently. 
    An empirical study has been made in this paper which study on the driving force of service innovation in manufacturing enterprises and the relationship between different driving forces through structural equation model. First of all, the connotation of service innovation and its influencing factors have been investigated in manufacturing enterprise personnel; secondly, experts were organized to discuss and design the scale on the basis of theoretical research, experience accumulation and reference of previous research results; thirdly, structured interviews were conducted on the issues related to service innovation motivation; and finally, through the distribution and collection of questionnaires, sorting out and analyzing the questionnaire data, using the covariance structural equation model to verify the theoretical hypothesis of this paper. 
    In terms of specific research, the relevant theories of service innovation of manufacturing enterprises have been combed in this paper, and deconstructs three driving forces of service innovation of manufacturing enterprises which are external trigger, enterprise innovation consciousness and internal basis. External trigger is measured by "customer demand", "horizontal competition", "government incentive" and "supplier improvement". Innovation consciousness is measured by "need and motivation awareness", "enterprise innovation awareness" and "supplier improvement". The internal foundation is measured by "its infrastructure", "its human resources", "its coordination resources", "enterprise strategy" and "knowledge base". Service innovation is measured by "service concept innovation", "service delivery system innovation", "service delivery interface innovation", "service support technology innovation" and "service content innovation ". 
    To ensure the accuracy and reliability of the research data, SPSS 19.0 was used to test the validity and reliability of the scale, and confirmatory factor analysis was used to estimate the implicit validity of the measurement method. The empirical results show that external trigger, enterprise innovation awareness and internal foundation all promote the service innovation of manufacturing enterprises, among which the direct promotion effect of innovation consciousness is the strongest, followed by external trigger and internal basis, and the external trigger and internal foundation also promote the service innovation of manufacturing enterprises through the intermediary variable of innovation consciousness. From the perspective of driving force, this study opens the internal black box of service innovation development of manufacturing enterprises, promotes manufacturing enterprises to carry out service innovation to obtain new sustainable competitive advantages, provides reference for managers in manufacturing enterprise to consciously drive and guide service innovation, and promotes the high-quality development of China′s manufacturing industry.
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    A research on the CSR evaluation of the transportation industry based on circulating revision
    Meng Bin, Li Fei, Yang Yue
    2020, 41(10): 174-184. 
    Abstract ( 204 )  
    The rapid development of China′s economy is inseparable from the support of the transportation industry. The transportation industry is a basic and service-oriented industry that involves thousands of households. Especially the implementation of China′s "the Belt and Road initiative" and "Transportation Power" strategy has brought new development opportunities to the transportation industry, the healthy development of the transportation industry is crucial to China′s economic prosperity. In recent years, accidents have occurred frequently in the global transportation industry. Various incidents such as invalid supervision, negligence of duty, and illegal operations are closely related to the corporate social responsibility of the transportation industry. Enterprises are important parts of society. Enterprises must not only create economic benefits, but also bear legal responsibilities to shareholders and employees, as well as to consumers, communities and the environment.
    This article is based on authoritative reports such as the International Organization for Standardization ISO26000, the G4 standard of the Global Reporting Initiative and the "13th Five-Year Development Plan for Energy Conservation and Environmental Protection in the Transportation Industry" and other documents related to corporate social responsibility. Eliminate indicators covering duplicate information through principal component analysis and related analysis, establish 7 criteria layers including responsibility governance, community development and economic contribution, and establish 51 indicators including corporate social responsibility department, environment-friendly products and R&D investment corporate social responsibility evaluation index system. In the selection of evaluation methods, only a single evaluation method is adopted for a certain problem, and the results obtained will have different biases and irrational points. Therefore, this paper establishes a circular correction theory to build a corporate social responsibility evaluation model for the transportation industry. Comprehensively consider the common points between various weighted evaluation results to improve the rationality of the evaluation method and the credibility of the results.
    Features and innovations of this article: First, the single evaluation method is cyclically revised through the three combined evaluation methods of Mean method, Boarda method and Compeland method, and then the unified ranking of the three combined methods is obtained, thereby overcoming the inherent one-sidedness and persuasion of the single method. Therefore, this article reasonably considers the performance of corporate social responsibility in the transportation industry. Second, before data processing, the consistency of a single evaluation method is judged by Kendall test, after the data is processed, the consistency of the results is tested a second time through the Spearman test. It guarantees the rationality of the combined evaluation results and solves the problem that the data is not convincing when the data is directly combined after a single evaluation. At the same time, the external correlation test is conducted with other evaluation results. The test results show that the cyclically revised evaluation results in this paper have a high external correlation. Third, this article comprehensively analyzes the current status of corporate social responsibility in the transportation industry by typical enterprises, which helps transportation enterprises to objectively locate their own development status and adopt differentiated measures to improve the quality of supervision. The empirical results show that state-owned enterprises and air transportation enterprises in the transportation industry have performed better social responsibility.
    This paper analyzes the performance of corporate social responsibility performance in the transportation industry based on the results of the cyclic revision evaluation. This article abandons the simple analysis process of the previous corporate social responsibility evaluation that only lists the results, and focuses on analyzing the common characteristics of the top 10 companies to provide a realistic basis for companies to better implement social responsibility. The empirical results show that the performance of corporate social responsibility in the transportation industry is affected by the nature of the enterprise, industry characteristics and value of the enterprise. Throughout all companies, air transport companies performed best overall; 6 of the top 10 companies were state-owned enterprises; 6 of the top 10 companies were worth more than 100 billion yuan, of which 3 were more than 200 billion yuan. Through the analysis of typical enterprises, it helps transportation enterprises to objectively locate their own development status and take differentiated measures to improve the quality of supervision.
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    CEO duality, big shareholders′control and investment efficiency
    Wang Chengfang, Ye Ruohui,Bao Zongke
    2020, 41(10): 185-192. 
    Abstract ( 429 )  
     This paper selects 21838 test samples of China′s A-share listed companies from 1999 to 2015, in order to control heteroscedasticity and intragroup correlation problems, by using Cluster regression to examine how CEO duality, big shareholders′ control and the interactive effect impact investment efficiency. It shows that investment efficiency of duality firms significantly lower than non-duality firms. But CEO duality does not significantly affect investment efficiency in firms with lower degree of ownership concentration. CEO duality reduces more investment efficiency to firms with higher degree of ownership concentration. CEO duality is positively associated with inefficient investment in the firms with higher degree of ownership concentration. Moreover, the proportion of share held by the first big shareholders is positively associated with investment efficiency in the non-duality firms. The higher proportion of share held by the first big shareholders causes more inefficient investment to duality firms. The proportion of share held by the first big shareholders is positively associated with inefficient investment in the duality firms. 
    This paper has the following two contributions: First of all, this article from the angle of investment efficiency, studies CEO duality influence on economic efficiency, it is directly from a specific influence on the way to test CEO duality influence on economic efficiency, and by investigating, under different ownership concentration, how CEO duality impacts investment efficiency. It shows that CEO duality is not always can reduce investment efficiency, only CEO duality of higher ownership concentration company can reduce investment efficiency, CEO duality of lower equity concentration company can not significantly affect investment efficiency. It provides with the existing literature of studying the relation between investment efficiency and CEO duality different empirical evidence, thus it deepens the research on the influence of CEO duality on investment efficiency. Second, by looking at two different position conditions, the big shareholder control impact on investment efficiency, this paper finds big shareholder control does not always lower investment efficiency, big shareholder control reduce investment efficiency only in CEO duality company, and big shareholder control can improve investment efficiency in the two separate company. It provides with the existing literature of studying the relation between investment efficiency and big shareholder control of different empirical evidence, thus deepens the study of relationship between large shareholder control and investment efficiency, and enriches the economic consequences of large shareholder control research.
    The research conclusion of this paper has the following implications to enterprise managers, investors, and government regulators: firstly, for enterprise managers, managers in view of the specific decision problem, can choose by adjusting the enterprise decision-making configuration status, or dispersed ownership concentration to improve efficiency of decision making, also can choose and adjust corporate decision-making configuration and ownership concentration to improve efficiency of business decisions. Secondly, for investors, investors should choose those companies with decentralized decision-making rights to better supervise and control the managers. Finally, for the government regulators, regulators should pay more attention to strengthen the supervision of the control of major shareholders in companies with CEO duality, because the negative impact of control of major shareholders on the decision-making efficiency will be more obvious in companies with CEO duality.
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    Founding conditions of high-tech startups and their survival
    Yang Chun1, Xiao Guangling2, Du Shaojun3
    2020, 41(10): 193-201. 
    Abstract ( 224 )  
    The survival and growth of newly established high-tech startups are crucial and hot topics in innovation and entrepreneurship research academia; it is also an unignorable practical issue of high-tech industrial development in current China. Recently, scholars have concentrated on how founding conditions shape high-tech startups′ survival, and an increasing number of literatures argues that founding conditions would exert significant influence on high-tech startups′ exit rates. However, limitations in given studies hinder our further understandings. First, relatively scare knowledge concerns about how the survival stimulating effects of founding conditions change over time. Second, Chinese empirical evidence is nearly absent in this research line. To fill these gaps, building on resource-based view of the firm (RBV) and organizational ecology perspectives, this paper particularly focuses on when and how high-tech startups′ founding resources and market conditions i.e.R&D, internal financial resource, firm size, and industrial concentration at the founding year, affect their survival risk as time passes. To this end, this paper first proposed that the current resources and market conditions would prolong high-tech startups′ survival duration. Then, it further proposed that these founding resources and market conditions have positive influence on startups′ survival, but such effects decline over time differently.
    This paper uses a dataset of high-tech startups from Z-Park in Beijing to test the proposed theoretical hypotheses. These startups are established in 2006 and their fundamental operation information have been loyally recorded till 2011. In this dataset, it can identify which year a startup exits but the exact time point that a startup exits is unavailable. That is, the records of firms′ exit event are typical "firm-year" observations. To estimate such data, complementary log-log model (cloglog) is more robust and efficient than that of Cox model which is often used in firm survival studies. After cloglog modeling, this paper conducts robustness checks by using alternative models i.e.logit model and complementary log-log model with random effects considerations. Empirical findings support most of theoretical predictions. Firstly, it shows significant and robust influence of current internal resources and market conditions on high-tech startups′ survival. To be specific, industrial concentration has positive effects on high-tech startups′ survival risk, whereas R&D and firm size are negatively related to high-tech startups′ survival risk. However, internal financial resource shows insignificant survival motivating effects. Moreover, founding resources and market conditions have varied survival motivating influence. Specifically, R&D and firm size at the founding year help to prolong startups′ survival duration, whereas higher internal financial resource and industrial concentration at the founding year are likely to exacerbate high-tech startups′ survival risk. Although these founding resources and conditions matter for high-tech startups′ survival, their affecting durations are varied. That is, the survival motivating effect of founding industrial concentration lasts for a shorter time duration than that of firm size. Particularly, the founding effects of internal financial resources and R&D last for a much longer time than that of industrial concentration and firm size. 
    Empirical findings in this paper have practical and theoretical implications. In practice, it contributes to unpacking the black box of thesurvival process of China′s high-tech startups, which may help entrepreneurs to better develop strategic planning. This study also contributes to innovation and entrepreneurship literature in serval ways. First, it provides a possible analytic lens by combining RBV and organization ecology perspective to explore when and to what extent founding conditions determine high-tech startups′ survival. Second, this study examines how the founding effects of internal resources and market conditions change over time, which provides fresh evidence to deepen the understanding of the influence of organizational imprinting on high-tech startups′ survival chance.
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    An analysis of evolutionary game between organizational trust and knowledge sharing
    Zhang Rui, Zhou Wankun, Chen Qianzhu
    2020, 41(10): 210-217. 
    Abstract ( 232 )  
    Currently, knowledge sharing among employees become integral for organizational success as the knowledge acquired through the sharing process is considered the main source for managers during decision making as well as a source for better employees′ performance and productivity, hence organizational productivity. In addition, the knowledge captured during the knowledge sharing process become the wealth for both employees and the enterprise. One of the main keys, identified by researchers, to ensure effective knowledge sharing among employees is trust. There is no doubt that employees would engage in sharing what they know if they trust the others, in other words, trust lays the ground for sharing. In practice, organizations and managers would develop policies and programs to improve trust among employees in order to ensure an environment where employees are "happy" to share what they know because they "trust" the others would do the same. Past research demonstrated that employees fear to share what they know because they think they would lose their competitiveness if they share. It is the organization′s/management′s responsibility to build an atmosphere of trust to capture their employees′ know-how.
    Accordingly, the paper identified and analyzed six variables to construct the proposed evolutionary game model based on knowledge sharing behavior. These six variables are: knowledge quantity, sharing ability coefficient, sharing reward coefficient, sharing penalty coefficient, sharing risk coefficient and sharing cost coefficient. This paper addresses and analyses the role of these variables in knowledge sharing behavior. It also discusses how organizational trust affect the knowledge sharing behavior through these variables. Each of these variables was analyzed to find how it affects the overall knowledge sharing behavior among the enterprise′ employees. 
    In addition, the analysis also was administered on combinations of these factors and how these combinations affect the enterprise′s knowledge sharing. For example, the results demonstrated that knowledge quantity, knowledge contribution coefficient, sharing reward coefficient and sharing penalty coefficient are positively correlated with knowledge sharing behavior. These variables are integral for the success of sharing knowledge as they insure high levels of trust among them. Sharing risk coefficient and cost coefficient are inversely related to knowledge sharing behavior. Accordingly, employees demonstrated based on the analysis that employees would share regardless of the risk and cost associated with the sharing process. The analysis also showed that emotional trust promotes knowledge acquisition and cognitive trust promotes knowledge contribution. The originality of this research stems from its development of an evolutionary game model based on trust used to ensure effective knowledge sharing among group members participated in the game. 
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    Influence mechanism of empowering leadership on employees′ taking charge behavior
    Zhang Zhengtang, Zhao Lijing, Ding Mingzhi
    2020, 41(10): 218-226. 
    Abstract ( 330 )  
    With the increasing uncertainty and complexity of the external business environment, organizations hope that employees can take the initiative to change the work methods and procedures, and then realize the functional change of the organization. Recent studies also show that employees′ taking charge plays a significant role in promoting organizational innovation, organizational adaptability, personal career success, and employees′ job satisfaction. Therefore, this behavior called taking charge has gradually attracted the attention of organizational behavior scholars and enterprise managers. The existing research mainly explores the influencing factors of taking charge from the individual, leadership, and organizational aspects. However, the research on how empowering leadership affects employees′ taking charge is still limited. In view of this, based on self-determination theory, job characteristic model, and expectation theory, this study proposes that empowering leadership can enhance employees′ intrinsic motivation and then stimulate taking charge. Meanwhile, we assume that task significance can strengthen not only the positive relationship between empowering leadership and intrinsic motivation but also moderate the mediating effect intrinsic motivation between empowering leadership and taking charge positively.
    In order to verify the above hypothesis, this study conducteda questionnaire survey on employees of 22 city branches affiliated with a modern service company. A total of 1330 people participated in the survey, of which 1152 questionnaires were returned, and 970 were valid, with an effective recovery rate of 72.93%. We then used SPSS software to conduct multicollinearity, reliability and validity test, correlation analysis, regression analysis, and bootstrap tests. The results of data analysis show that: (1) empowering leadership can promote employees′ taking charge; (2) intrinsic motivation plays a partial mediating role between empowering leadership and taking charge; (3) task importance can positively moderate the relationship between empowering leadership and intrinsic motivation, and the mediating role of intrinsic motivation between empowering leadership and taking charge. In other words, when the level of task importance is high, the influence of empowering leadership on employees′ intrinsic motivation and the mediating effect of intrinsic motivation will be stronger.
    The findings of this study have some theoretical contributions. On the one hand, from the perspective of self-determination theory, this study found the mediating role of intrinsic motivation between empowering leadership and taking charge. On the other hand, we examine the moderating role of task importance in the above process from the perspective of job characteristics. In addition, there are some practical implications for managers. First of all, enterprises should not only establish a climate of empowerment but also encourage managers to moderately authorize employees, so as to stimulate their intrinsic motivation and motivate their taking charge behavior. Secondly, in terms to task′s arrangement, organizations should try to reduce the number of trivial and unimportant tasks and attach importance to authorization management in essential tasks. As for the future research prospects, we suggest expanding the coverage of the sample, so as to improve the generality of our research results. At the same time, to enhance the persuasiveness of the research conclusions, multi-wave and multi-source data should be collected in future research.
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    Impact of startup′s patents on venture capital decision——An empirical analysis based on Chinese companies on the GEM
    Qi Su, Liu Lichun
    2020, 41(10): 227-237. 
    Abstract ( 311 )  
     With the continuous improvement of the role of innovation and entrepreneurship in China′s economic development, the role of venture capital institutions in promoting the development of startups and scientific and technological innovation has been paid more and more attention. Scientific and technological innovation is characterized by great uncertainty, high risk and light assets, which also lead to the high- risk characteristics of startups, and it is difficult to obtain the funds needed to development through traditional financing channels. Venture capital institutions have the knowledge and skills that traditional financing agencies lack in screening, identifying, supervising and guiding high-risk enterprises, which makes venture capital an important channel for startups to obtain funds. However, the information asymmetry between startups and venture capital institutions will directly restrain venture capital institutions make a high valuation to the startups. To improve the chances of obtaining investment and financing, startups need to send effective signals reflecting their own quality to venture capital institutions.
    In recent years, some scholars have begun to study the extent to which patents of startups can affect investors′ evaluation of the economic value of enterprises, and explore the feasibility of using patent as an important indicator to judge the value of startups. Foreign scholars have carried out a series of studies on the impact of patents of startups on venture capital decisions, but there is no unified conclusion. The empirical analysis is mainly concentrated in Europe and the United States and other countries and regions, lack of specific practice for China. Chinese scholars mostly focus on the impact of venture capital on the performance of startups from the perspective of startups. The existing research lacks the perspective of venture capital institutions, focusing on the screening process before venture capital decision-making, and to explore the impact of startups patents on venture capital institutions decision-making.
    This study collects the data of patent, risk financing and exit of 400 startups in Growth Enterprise Market (GEM), and carries out empirical analysis, trying to analyze whether the patents can play a positive signal role in the process of venture capital investment for startups, to explore the interaction between the patent resources of startups and enterprise financing. In order to solve the problem of information asymmetry between startups and venture capital institutions, to stimulate and guide the venture capital industry to better promote economic development and social innovation, and to provide practical reference for promoting the innovation and development of startups. At the same time, whether a startup can finance as early as possible is very important for the survival and subsequent development of the enterprise. Therefore, this study will focus on the impact of the patent behavior of startups on the inexperienced entrepreneurs, the first-round financing of startups, and the decision-making of well-known venture investors. 
    The results show that: First, the patents of startups have a significant positive impact on the valuation of venture capital enterprises; Second, the positive impact of startups patents on venture capital valuation will be weakened with the increase of investment rounds, but will increase with the promotion of the industry status of venture investors. Thirdly, the financing amount of enterprises is used to replace the venture capital valuation as the dependent variable, As a whole, for venture capital institutions, the patents of startups can play a role of quality signal, which can reduce the information asymmetry between venture capital institutions and startups to a certain extent, so that venture capital institutions can learn more about the technological innovation ability of enterprises, and make startups obtain a higher valuation. The possible innovations and contributions of this paper are as follows: (1) the research on patents and enterprises is expanded from the single patent promoting enterprise technological innovation to the signal of attracting venture capital, which expands the connotation of patent value, and opens a new perspective for patent management and patent strategy of enterprises. For the technology suitable for patent application, patent application should be submitted in time, which can not only avoid being preempted by competitors to complete patent layout, hinder the application of enterprise technology and make enterprises in a passive position, but also improve the possibility of venture capital. (2) in the past, the relationship between enterprises and venture capital was studied from the perspective of enterprises to explore how to effectively use venture capital to promote technological innovation and industrialization of enterprises. It is lack of research from the perspective of venture capital institutions. This study attempts to explore the signal effect mechanism of startups patents on venture capital valuation from the perspective of venture capital institutions and based on the goal of maximizing returns. The research results are helpful to guide venture capital institutions to make more effective use of patent signal mechanism and optimize their investment decisions. (3) The research also provides theoretical support for the government to guide the development of venture capital industry and promote enterprise innovation. However, there are still some deficiencies in the research content of this paper. In the future, we can further deepen the quality evaluation of patent signaling mechanism, the exit return of venture capital institutions, and the interaction between innovation of startups and venture capital.
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    A research on the innovative performance measuring method based on behavioral evidence reasoning
    Zheng Yi, Xu Fang, Niu Huayong
    2020, 41(10): 238-247. 
    Abstract ( 220 )  
    Today, the activities relevant to performance management (PM) can be found in every corner of business, and its importance could be described by a famous business motto that whether a company measures its workforce in hundreds or thousands, its success relies solely on performance. Despite its importance as an enabler of successful business, some issues and shortcomings still exist in the performance management research and its implementation, and the PM dilemma in the R&D management process is widely agreed as the most representative one.
    Due to enormous complexities and uncertainties existing in the process and output of R&D workflows, it is always a major challenge for R&D managers to measuring and managing their subordinates′ performance accurately and timely. Traditional PM frameworks and R&D management tools are largely incapable to guide the R&D managers out of the dilemma. The emergence of behavioural PM indicators brings a new approach to measuring and managing the R&D personnel′s performance in a more convenient and convincing way since these indicators reveal more profound performance characteristics as compared with the traditional ones. Therefore, a behavioural evidence-based PM way for the R&D personnel is explored in this article. The main idea of the innovation PM approach for the R&D personnel is to first select a competency model to determine the competency factors to be measured. Then possible data sources for the measurement of the factors (these can be identified via discussion with key stakeholders) will be determined. Finally, suitable models from the artificial intelligence field will be determined to produce proxy assessment of the factors, and then competency and performance will be measured from the data sources. 
    Specifically, there are four main steps to apply the evidence-based PM approach:
    The first step is to establish a competency model based on the strategies & objectives of the organisation (or simply apply an existing model). The competency factors reflect the characteristics of R&D staff that affect job performance. In practice, CM selection is one of the most important issues in carrying out CM-based management. Practitioners should review a range of available CMs and compare them in terms of feasibility within specific managerial contexts. Under some circumstances, users can directly employ the selected model. However, if the company wants to develop a tailored competency model from a general one, it will need to further refine the competency factors under the competency dimensions based on their specific managerial needs. Since the PAKS model includes most essential competency factors for R&D staff, we will use this model in the case study of this paper for illustration. However, it should be bear in mind that the framework is also compatible with most of the existing competency models, and users could replace PAKS with other preferred models.
    The second step is to search for supporting evidence for the competency factors. The supporting evidence is crucial in carrying out proxy assessment for the competency factors, since their qualities affect the results, and hence affect the management directly. Generally speaking, there are several common sources of evidence: 1) Past assessments: the information on past assessments reflects the performance and capability of an R&D staff member; such information is often supplied by the HRM department. 2) Biographical information: this is the background information on an R&D staff member, including gender, age, educational background, past academic performance, etc. 3) Online (Intranet and Internet) behaviour information: since most of the daily activities of R&D staff are carried out on computers, their online behaviour is one of the most important forms of evidence reflecting their characteristics and competencies. 4) Subjective assessment information: this is competency-related evidence generated from the staff member and his/her line managers and peers through subjective means such as 360-degree evaluation, self-evaluation, questionnaires and scales.
    In this step, the key stakeholders should have in depth discussions about how to select and link these data sources with the competency factors. Meanwhile, according to the availability of the evidence sources, the competency factors should be altered again – those factors lacking evidentiary support should be eliminated. It should be pointed out that here we only consider the availability of the evidence in a general managerial context and adopt some of the most common evidence sources (the first four sources mentioned above). The company can further enrich the factors if they have better hardware. 
    In the third step, the specific MCDM method and the corresponding measurement should be selected and applied. In the evidence-based PM approach, multiple MCDM methods can be employed to produce the proxy assessment of competency and then performance. The evidential reasoning rule (ER-rule) method was adopted in this research for the following reasons: 1) The output of the ER method is a likelihood matrix composed of multiple managerial events and corresponding probabilities. Therefore, this result can provide more information for elaboration management and managerial diagnosis compared to deterministic-output methods; 2) The ER method is also highly compatible with different data forms; both the sequencing data and continuous data can be inputted for analysis; 3) The probability-based logic of the ER method matches with the nature of managerial practices more so than numerical fitting methods since alternative options always exist in business operations. It is also possible to utilize other types of MCDM methods in this approach depending on uses′ preferences. 
    The fourth step is to apply the results of the assessment to the PM of the R&D unit. The results of the assessment can be applied to the R&D PM in two layers: 1) The predictions of individual performance can help R&D managers carry out PM at the individual and departmental levels. They may intervene in both levels of R&D operations before a poor-performance situation occurs. 2) The results from the competency factor assessments can assist R&D managers in training their subordinates and assigning jobs. For instance, R&D managers can design a specific training program for a R&D staff member based on his/her competency scores; or they can create more detailed performance plans for the employee according to his/her competencies.
    In the last part of this article, a case study carried out in a Chinese hi-tech enterprise is addressed for presenting detailed procedures about how to implement and to obtain managerial benefits from this innovative tool. Based on the result of the case study, it can be concluded that the behavioral evidences-based PM approach can help R&D managers to measure and infer their staff′s performance continually with acceptable time and resource cost.
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    The effect of authoritarian leadership on employee unethical behavior: A study from the angle of social exchange and social learning
    Jiang Rui, Lin Xinqi
    2020, 41(10): 248-257. 
    Abstract ( 232 )  
    Paternalistic leadership exists in the Chinese community universally, which includes authoritarian leadership, moral leadership and benevolent leadership. As one dimensionality of paternalistic leadership, the research of moral leadership is so important to the Chinese organizations; Employee unethical behaviors exist in various organizations universally too, and they will do harm to the organizations. There used to be some researches about authoritarian leadership and employee unethical behaviors, but there is still no research in the relationship between moral leadership and employee unethical behavior. The research in the relationship between them is so meaningful. This paper studies the relationship between authoritarian leadership and employee unethical behaviors and the mechanism. First, we studied the relationship between authoritarian leadership and employee unethical behaviors; second, we studied how leader member exchange mediated the relationship between authoritarian leadership and employee unethical behaviors from the perspective of social exchange; third, we studied how ethical climate moderated the relationship between leader member exchange and employee unethical behaviors from the perspective of social learning; forth, we studied how ethical climate moderated the mediating effect of leader member exchange.
    We collected data from the participants of the enterprises from Chinese main cities. 95 working teams were chosen as samples, which include at least one leader and 4 other team members, and respondents include supervisors and other team members. Eventually, we obtain the 406 supervisor-employee valid questionnaires. We use Mplus 7.1 to analyze the data. First, we performed confirmatory factor analysis to analyze the discriminant validity of variables; second, we did descriptive statistics; third, we performed tomographic regression analysis; forth, we examined the moderated mediating effect. The results of research indicate: (1) There is a positive relationship between manager authoritarian leadership and employee unethical behaviors; (2) Leader member exchange mediates the relationship between authoritarian leadership and employee unethical behavior completely; (3) Ethical climate moderates the relationship between leader member exchange and employee unethical behaviors, and moderates leader member exchange′s mediating effect.
    This paper makes a contribution in three aspects: First, we did research in the relationship between authoritarian leadership and employee unethical behaviors, expanding the research of the two constructs separately; second, we concluded that authoritarian leadership will influence employees′ unethical behavior through the leader member exchange; Third, the boundary conditions of the influence of authoritarian leadership on non-ethical behavior of employees are discussed; Forth, we study the influencing mechanism of the relationship between authoritarian leadership and employee unethical behaviors. The results of this study tell us: (1) authoritarian leadership is a leading style to increase employee unethical behaviors; (2) the senior managers should make an example for middle and junior managers; (3) organizational and team leaders and the other members should do their best to create a good ethical climate, which can reduce employee unethical behaviors. 
    Finally we put forward the practical suggestions of this paper: (1) Managers should use less authoritarian leadership, which can reduce unethical behavior of employees. (2) Establishing a good leader member exchange relationship is beneficial to fewer employees′ unethical behavior. (3) Establishing a good ethical atmosphere can help managers reduce non-ethical behaviors of employees.
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    Boundary-spanning collaboration and patent productivity:A study based on gender differences
    Qin Peiheng, Hong Zhisheng, Zhao Lanxiang
    2020, 41(10): 258-267. 
    Abstract ( 219 )  
     With the increasingly contribution of S&T to the economy development, the gender disparity in patent productivity and its influencing factors have attracted more and more attention as the low patent productivity of female researchers would enlarge the gender gap in scientific field and affect the innovation efficiency of the society. Based on a survey of researchers from institutes of CAS conducted in 2018, this study focuses on the collaboration network size and ties strength of researchers to understand the gender gap in patent productivity using variance analysis and regression analysis. The results show that:
    Firstly, compared to male researchers, female researchers are at a disadvantage both of collaboration network size and ties strength. Specifically, female researchers have fewer collaborators from industries, government departments, other research institutes and interdisciplinary fields, and the communication frequency with partners of female researchers is lower than that of male researchers.
    Secondly, the disadvantages at collaboration network size and ties strength are important reasons for the gender difference of patent productivity, but not all types of network deficiency have an impact on female patent productivity. The deficiency of collaboration network size and ties strength with industries and interdisciplinary fields are the key factors affecting female researcher′s patent productivity. Besides, compared with network size, it seems that ties strength has a greater influence on patent productivity. This means that the female researchers not only need more partners from industries and interdisciplinary fields, more importantly, they need to establish a relatively close communication mechanism with those partners.
    Thirdly, gender does not play an obvious role in regulating the collaboration network and patent productivity as there is no significant difference in the return of collaboration network between male and female researchers in this research. In other words, it means that there is no obvious network return deficiency caused by gender bias in the famous research institutions of CAS. 
    The limitation of this study is that, due to the researchers investigated mostly are from CAS, the universality of the conclusion is still worth further discussion. Previous explanations of "the puzzle of academic productivity" suggested that women are far from top research institutes might be one of the reasons of the gender difference in academic productivity, while in this study, the influence of institute′s reputation has been excluded. For the research groups in China′s well-known scientific institutes, they tend to follow the norms of "universalism" of the scientific community. The "return deficiency" of social networks caused by gender bias is not obvious, but the situation may be different considering all the researchers at the national level. 
    However, the findings of this study are still of some implications for the gender policy in the S&T in China. First of all, it′s recognized that lack of social network and resources of female researchers is an important reason for their low innovation output, such as patents. It′s precisely because of their lack of social network and resources that they are more rely on formal organizational support or formal work experience. As shown in this study, the supports from institutes and early industry work experience have greater influence on female researcher′s patent productivity than that of male researchers. Therefore, the institutes should play an important role in improving the female researchers′ collaboration network through building platforms which providing learning, training and information resources, and creating opportunities for their cooperation with the industries and interdisciplinary fields. 
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    A study of energy market fragmentation and total factor energy efficiency in China
    Fang Jianchun, Zhang Yuyan, Wu Wanshan
    2020, 41(10): 268-277. 
    Abstract ( 250 )  
    This paper uses the relative price method to study China′s energy market segmentation with the energy price data of various provinces and cities in China from 2004 to 2015 as an example, and uses the DEA method to investigate the efficiency of China′s energy market. Based on theoretical analysis, the influencing factors of China′s energy market efficiency are quantitatively studied. The main conclusions of the study are as follows:
    First, the segmentation of the Chinese market presents an inverted U-shaped curve, with a peak in 2007. The level of market segmentation remained relatively stable after 2009. The market segmentation level of energy export regions is always higher than that of energy import regions.
    Second, the trend of China′s total factor energy efficiency shows an "N" shape. The total factor energy efficiency of the energy import regions is significantly higher than that of the energy export regions. China has a significant "energy efficiency curse", that is, the more abundant the energy resource endowment, the lower the total factor energy efficiency of the region.
    Third, market segmentation is the most important factor affecting total-factor energy efficiency, and reducing the level of energy market segmentation is conducive to the improvement of total-factor energy efficiency. From a national perspective, for every 1% increase in energy market segmentation, total factor energy efficiency will drop by 4.09%. 97.59% of the sample points indicate that reducing the level of market segmentation is conducive to the improvement of total factor energy efficiency. The decline in the proportion of coal consumption in primary energy consumption is conducive to improving total factor energy efficiency.
    Fourth, from the perspective of the country and energy import regions, the decline of the secondary industry′s share of GDP in added value is conducive to the improvement of total factor energy efficiency, but the energy export regions are completely opposite. 
    Based on the above conclusions, the policy recommendations of this article mainly include: First, reduce the level of energy market segmentation and promote the opening of the energy market. Second, reform the consumer subsidy method that lowers energy prices, change the problem of excessive subsidies on the production side and improper subsidy methods, improve the pertinence and transparency of subsidies, and gradually reduce subsidies for fossil energy, which will help prevent inefficient use of energy. Third, promote demand-side management (DSM) measures such as energy performance contracting (EPC) and white certificate trading (TWC), and increase resource tax revenue to reflect scarcity and environmental costs. In addition, promoting the marketization of coal prices and breaking the power industry monopoly will help reduce the proportion of coal consumption in primary energy consumption and improve energy efficiency. Finally, energy export regions can take advantage of their own resource endowments to vigorously promote technological upgrades to break the "energy efficiency curse".
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