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    20 August 2022, Volume 43 Issue 8 Previous Issue    Next Issue

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    Research on the impact of innovative city construction on the green development of cities
    Wang Xiaohong, Zhang Shaopeng, Li Xuanting
    2022, 43(8): 1-9. 
    Abstract ( 346 )  
        Since the beginning time of reform and opening up, China′s economy has been growing at a high speed for a long time. However, behind the rapid economic growth, it has also brought serious problems such as high energy consumption, high emission and high pollution to China. Under this circumstance, achieving green development is an important driving force to promote China′s ecological civilization construction process and maintain the sustainable development of China′s economy and society, which is more in line with the urgent requirement of building a well-off society in China. At the same time, China has been implementing the innovative city pilot policy since 2008. Along with the implementation of the innovative city pilot policy, the government is required to increase financial expenditures for the smooth development of innovative activities on the one hand, and further promote the development of technological innovation in cities on the other hand. Therefore, in the context of China′s innovative city pilot policy, this study tries to explore the impact of innovative city construction on urban green development, and through which mediated transmission mechanism the impact is generated.
        The Yangtze River Delta region is one of the most economically developed regions in China. However, due to the long-standing influence of the rough development model and the natural ecology of Yangtze River, the environmental pollution in the Yangtze River Delta urban agglomeration is relatively serious and the overall level of eco-efficiency is low. In addition, with the support of national policies, the Yangtze River Delta urban agglomeration is also the region with the most intensive implementation of innovative city pilot policy in China. In view of this, this paper uses the panel data of 24 cities from the year of 2005 to 2019. Then this paper measures the urban green development performance by using the entropy-weighted TOPSIS method and constructing an evaluation index system based on the four-system framework model including economic development, social progress, ecological environment, and market mechanism. In addition, this paper treats the innovative city pilot policy as a quasi-natural experiment and adopts the spatial difference-in-difference model to study its influence mechanism on the green development performance.
       The conclusions of this study are as follows: (1) The scores of overall urban green development performance and subsystem performance are not high and vary among cities in the Yangtze River Delta urban agglomeration and within the three provinces and one city region, and Anhui Province is in a disadvantageous position in the green development process. This result also reflects that there are still limitations in the green development of cities in the integration process of the Yangtze River Delta urban agglomeration, and the green development performance is spatially heterogeneous among cities. (2) The innovative city pilot policy has a promoting effect on the urban green development performance, and it also has a positively spatial spillover effect on the green development performance of neighboring cities. In other words, the innovative city pilot policy not only has a positive impact on the urban green development performance of the region, but also generates a "policy dividend" on the urban green development performance of the neighboring regions. (3) By using the parallel trend test, counterfactual check, and changing the method to measure the dependent variable, namely urban green development performance, this paper checks the robustness of the benchmark regression results. And, the results also further verify the reliability of the conclusions of this paper. (4) The innovative city pilot policy has a significantly positive impact on both green technology innovation and industrial structure upgrading of the Yangtze River Delta urban agglomeration. In addition, green technology innovation and industrial structure upgrading play multiple mediating effects in the influence mechanism of the innovative city pilot policy on the urban green development performance, and the proportion of mediating effects is higher for green technology innovation than industrial structure upgrading.
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    Research on the impact of innovation policy coordination on the innovation performance of Beijing-Tianjin-Hebei Region
    Wang Tao, Zhang Zhiyuan, Wang Xin
    2022, 43(8): 10-20. 
    Abstract ( 158 )  
         Since the implementation of the innovation driven development strategy, Beijing-Tianjin-Hebei region have paid more and more attention to regional innovation and development. Based on local advantages and actual needs of development, local governments at all levels have formulated preferential policies to support regional innovation activities and attract the inflow of innovation factors. With the promotion of innovation policy practice of local governments at all levels, the regional innovation policy system has become increasingly large and complex. The role of policy coordination in affecting regional innovation performance has become increasingly prominent, and the mutual cooperation between policies have an important impact on the realization of the effect of policy measures. According to the theory of new economic geography, factor mobility is conducive to the improvement of regional innovation performance. To clarify the mechanism of policy coordination, factor mobility and regional innovation performance, this paper makes an empirical analysis based on the panel data of 42 prefecture-level cities / districts of Beijing-Tianjin-Hebei region from 2013 to 2018. 
       The research data of this paper include two types: innovation policy text and statistical yearbook data. During the observation period, 1670 innovation policy texts are processed quantitatively by expert scoring method, and the degree of policy coordination is calculated by the coordination degree model of composite system. On this basis, the mixed OLS regression model is introduced to empirically examine the impact of innovation policy coordination on regional innovation performance, and the mediating effect of factor mobility is verified. The results show that: innovation policy coordination has a significant positive impact on regional innovation performance; factor mobility has a partial mediating effect in the relationship between innovation policy coordination and regional innovation performance; the mediating effect of human factors and capital factors in this process is basically the same.
       According to the results of empirical analysis, this paper puts forward the following practical recommendations for the development of regional innovation and policy coordination. 
       First, accelerate the establishment of a common market for innovation factors and remove obstacles to the flow of regional factors. The administrative relationship of Beijing-Tianjin-Hebei region is complex, and the resource allocation in the region is subject to administrative interference. Market segmentation restricts the formation of factor common market and hinders the free flow of innovation factors such as talent, capital and technology in the region. Therefore, we should speed up the establishment of a common factor market in the region, and optimize the division of work and cooperation among the local governments. Pay attention to the linkage construction of factor market and regional integration, and strengthen the integrated construction of transportation, information and other infrastructure. 
       Second, accelerate diversified capital flows and increase capital stock to promote regional innovation capacity. Local governments at all levels in Beijing-Tianjin-Hebei region should pay more attention to the development of diversified capital in the region. Encourage and support the development of private capital market, improve the activity of private capital through financial system reform and supporting policy promotion. 
        Third, strengthen policy cooperation among local governments in the region, and improve the quality of regional innovation policy. The coordination of innovation policy objectives and measures has a significant positive impact on regional innovation performance. Local governments should pay attention to the internal consistency of policy objectives and measures, and improve the coordination of regional innovation policy. In addition, due to the lag effect of policy coordination, the assessment and evaluation system of innovation policy need to be constructed to correct the problems of policy coordination in time.
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    Dynamic evolution of the legitimacy of disruptive innovation——A case study of "Didi Chuxing"
    Liu Muyang, Yu Peili, Yang Miao
    2022, 43(8): 21-31. 
    Abstract ( 241 )  
       Disruptive innovation is a process in which products or services based on new technologies are initially rooted in low-end markets or new markets, but as its performance improves, it attracts consumers and encroaches incumbents. This kind of strategic competitive behavior is generally valued by industrial practice, and it has also attracted increasing attention from research. Scholars have carried out a series of theoretical explorations around core issues such as the concept of disruptive innovation, behavioral characteristics, competitive strategies, market performance, innovation incentives, internal and external factors, and applied research in specific industries. However, as disruptors under the existing institutional arrangements, disruptive innovation companies often face the constraints of "legitimacy threshold". Innovation legitimacy is a generalized perception or assumption that the innovation actions of an entity are desirable, proper, or appropriate within some socially constructed system of norms, values, beliefs and definitions, emphasizing stakeholder value judgment. Disruptive innovation conflicts with existing technological paradigm, institutional logic and social norms, while different value judgments among stakeholders lead to serious material interest, spiritual value and moral norm value conflicts, which impede disruptive innovation legitimacy.
        Existing research still has the following deficiencies on disruptive innovation legitimacy: Firstly, although many scholars have amply analyzed theoretical cognizance, operating mechanism, entry channels and implementation paths about disruptive innovation, these studies rarely involve stakeholder conflicts caused by disruptive innovation. Secondly, most previous innovation legitimacy research is based on institutional and strategic perspective, lacking stakeholder evaluation to explore innovation legitimacy; moreover, most of these research focuses on project development environment conflicts, organization internal conflicts, team conflicts and entrepreneur-investors conflicts etc., lacking stakeholder value conflicts about disruptive innovation. Thirdly, existing studies have discussed definition, source, classification, acquisition methods about legitimacy and the impact on corporate performance, but these studies are mainly based on static perspective, lacking dynamics. Disruptive innovation surpasses social public level of recognition and acceptance, and the relationship between stakeholders of disruptive innovation is difficult to maintain in a stable state for a long time, so it is necessary to study deeply the stakeholder dynamic evolutionary relationship. 
        According to above research, and based on the development history of Didi Chuxing from 2012 to 2019, this study adopts the single-case longitudinal research method to investigate stakeholder value conflicts, legitimacy requirements and legitimacy acquisition strategies in different periods, and constructs a dynamic evolution theoretical model about disruptive innovation legitimacy. 
        The findings of this paper as follows: Firstly, disruptive innovation legitimacy presented as a complex dynamic evolution process of stakeholder value conflicts, and the degree of value conflict is different. During the periods of market entry, disruption and expansion, it mainly experiences the dynamic evolution of stakeholder spiritual value, material interest and moral norm value conflicts. Accordingly, the legitimacy requirement mainly goes through the dynamic evolution of cognitive, regulatory and normative legitimacy, and innovator mainly adopts selection, control and compliance strategies to gain legitimacy.
       Secondly, stakeholder value conflict of disruptive innovation is the driving mechanism for the dynamic evolution of innovation legitimacy. In the interaction with stakeholder behaviors, it will trigger new rounds of stakeholder value conflicts and actions, so that stakeholders will continually make new value judgments, and coordinate constantly the value conflicts among disruptive innovation stakeholders.  
        Thirdly, stakeholder value conflict of disruptive innovation is the market selection mechanism for the dynamic evolution of innovation legitimacy. Disruptive innovation stakeholder value conflicts reflect stakeholder value demands and the degree of resistance, guiding market value discovery and market selection in low-end or emerging markets, which lay market foundation to disrupt incumbent market.  
       Fourthly, stakeholder value conflict of disruptive innovation is the diffusion mechanism for the dynamic evolution of innovation legitimacy. Disruptive innovation leads the whole society continuously adjust recognition and acceptance, which promotes society reaching a new technological levels and institutional scenarios, so that disruptive innovation obtain legitimacy in neo-institution environment. 
        Finally, this study provides firms certain practical references for dealing with stakeholder value conflicts during the development of disruptive innovations. In addition, this study also provides government policy references for governing stakeholder value conflicts caused by disruptive innovation. 
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    An analysis of the trend of digital economy in foreign countries and China′s countermeasures from the perspective of think tank
    2022, 43(8): 32-39. 
    Abstract ( 197 )  
        In recent years, the global digital economy has entered a period full of outbreak and competition. Paying close attention to the trend of digital economy in foreign countries has become an important pillar for China to maintain the competitiveness of the digital economy, and it is also one of the important topics of think tanks′ researches in serving the country′s macro decision-making. However, there are still two challenges currently for think tanks in carrying out researches on digital economy in foreign countries. One challenge is to transition from empirical to scientific research, which is necessary to break through the limitations of relying solely on expert knowledge to avoid one-sided research and judgment. The other challenge is to transition from pure academic-oriented to integrative studies fitting both academic and practical requirements, which must give full play to the role of policy, strategy and other materials in trend analysis, so as to bridge the gap between academic research and policy practice. 
        Facing the critical period of rapid development and dynamic evolution of the digital economy, it is necessary to carry out research that combines the subjective judgment of experts with the analysis of objective materials, supported by the methodology of think tank research. To this end, this paper adopts the double helix methodology of think tanks as the theoretical and practical guide of the research, which is proposed by Prof. Pan Jiaofeng at the Institutes of Science and Development, Chinese Academy of Sciences. The double helix methodology of think tanks consists of DIIS helix and MIPS helix, in which the DIIS abstracts operational steps of think tank research as data collection, information revelation, intelligence synthesis, and solution formation and the MIPS refines the logic process of think tank research as mechanism analysis, impact analysis, policy analysis and solution formation. Guided by the double helix methodology of think tanks, this paper extracts the mechanism of the digital economy into three dimensions: digital economy technology and infrastructure, digital economy and society, and digital regulation and governance. Combining the differences in the focus of digital development in three scales of intra-country, inter-country, and global governance, a two-dimensional analysis framework for the development trend of the digital economy with three dimensions × three scales is proposed. 
        Under this framework, the research focuses on agencies and think tanks from major countries, such as the United States and the European Union, collecting textual materials such as policies and reports related to the digital economy, and develops keyword analysis to reveal the current digital economy development hotspots in worldwide and the United States and the European Union. The results show that the hotspots of the digital economy in the United States mainly include strengthening digital infrastructure, promoting the digital transformation of manufacturing, developing digital assets, and competing for the global digital trade and digital currency system. While the hotspots of digital economy in the European Union mainly cover promoting the EU digital single market, boosting digital infrastructure construction, cultivating digital skills and accelerating the digital transformation of SMEs. 
       Based on the identification of hotspots in digital economy, 9 major trends in the development of foreign digital economy are recognized under the framework of two-dimensional analysis of digital economic development trends, namely (1) artificial intelligence, blockchain, and quantum computing are hotspots for technological innovation and application, (2) network and information security defenses are strengthened, (3) global digital connectivity receives increasingly attentions, (4) digital consumption is accelerated significantly, (5) the digital economy development is deepening; (6) digital inclusion contributes to global sustainable development; (7) data governance is strengthened; (8) digital sovereignty competition is gaining more awareness; (9) the conflict of digital economy governance rules continues. 
       In this context, this paper finally examines the problems faced by the digital economy development of China and puts forward the following countermeasures and suggestions. 
        In terms of digital technology and infrastructure development, it is suggested (1) to strengthen digital technology research and development and key technology breakthroughs, (2) to strengthen network security protection and construction, and (3) to innovate investment and financing models for the construction of the digital new infrastructures. 
       In terms of digital economy and society, it is suggested (1) to promote the digital transformation of small and medium-sized enterprises, (2) to deepen the digital transformation of traditional industries, and (3) to bridge the digital divide for rural areas and the elderly. 
        In terms of digital economy regulation and governance, it is suggested (1) to increase the application of digital technology in government governance, (2) to support Chinese companies to expand overseas markets and enhance the globalization of the digital economy, and (3) to participate in the formulation of global digital governance regulations.
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    Has S&T service agglomeration improved industrial efficiency?
    Wang Meng, Xi Min
    2022, 43(8): 40-47. 
    Abstract ( 126 )  
       With the transformation of China′s economy to high-quality development, the improvement of industrial efficiency has become a more pressing task. We try to prove that promoting spatial agglomeration of S&T service is an effective way to improve industrial efficiency. There are two deficiencies in existing literatures. In the theoretical dimension, the mechanism of S&T service agglomeration affecting industrial efficiency is not yet clear and needs further exploration. Empirical studies on the influence of S&T service agglomeration on industrial efficiency are also very scarce, and more causal inference analysis is needed. Compared with the existing literatures, our marginal contributions lie in not only the construction of a theoretical model to illustrate the influence mechanism of S&T service agglomeration on industrial efficiency, but also the regression analysis using provincial data to confirm that the agglomeration of S&T service would significantly improve industrial efficiency. 
       We demonstrate that the spatial agglomeration of S&T service can produce strong economic linkage, which is manifested as competition effect and trust effect. On one hand, when S&T service companies agglomerate in the same region, they compete with each other. Competition urges enterprises to innovate constantly to improve their efficiency. Meanwhile, competition forces enterprises in S&T service industry to provide high-quality and inexpensive services to industrial enterprises, and timely adjust the service content to meet the changing needs of industrial enterprises. On the other hand, industrial enterprises can effectively alleviate the adverse selection problem caused by information asymmetry and identify trustworthy upstream suppliers by observing and comparing S&T service enterprises in the agglomeration area. Once the cooperative relationship is established, even if there are commercial disputes in the execution of the contract, they are easy to be settled through friendly negotiation. This trust saves industrial firms the transaction costs of searching, negotiating and monitoring, thus increasing their efficiency. Agglomeration of S&T service also improves industrial efficiency through knowledge linkage. The spatial agglomeration of S&T service forms an informal place for knowledge exchange, effectively overcoming the spatial limitations of tacit knowledge and greatly reducing the barriers to its transfer. As long as industrial enterprises enter the agglomeration area of S&T service, they can obtain tacit knowledge of S&T service enterprises through casual contact and communication. The tacit knowledge not only helps to expand the knowledge stock of industrial enterprises, but also promotes the creation and accumulation of new knowledge, which will greatly improve the industrial efficiency. 
        The sample period used in the empirical analysis is from 2008 to 2016, and the sample individuals are 30 provincial administrative regions in China. The core variable S&T service agglomeration is measured by location entropy, the explained variable industrial efficiency is measured respectively by labor productivity and total factor productivity, and control variables include industrial labor stock, the level of economic development, industrial structure, trade dependency, degree of government intervention, fixed effect of year and fixed effect of province. In addition to the linear baseline regression model, we set a threshold regression model to explore the nonlinear influence of the agglomeration of S&T service, and analyze whether the influence of S&T service agglomeration has spatial overflow characteristics by using the spatial econometric model. Finally, regional heterogeneity is tested by sub-sample regression. The baseline regression shows that the agglomeration of S&T service significantly promotes the improvement of industrial efficiency. From the threshold regression result, the agglomeration of S&T service has no nonlinear effect on industrial efficiency. Next, spatial econometric analysis finds that the spatial spillover effect of S&T service agglomeration is not significant, but the industrial labor productivity among neighboring provinces would be mutually inhibited. The heterogeneity analysis shows that the improvement effect of S&T service agglomeration on industrial efficiency mainly exists in the eastern region, but is not significant in the central and western regions. 
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    Service trade opening-up, R&D input structure mismatch and industrial green total factor productivity
    Liang Huijun
    2022, 43(8): 48-54. 
    Abstract ( 128 )  
        How to realize industrial transformation and improve total factor productivity is one of the major problems of high-quality economic development. Given that most manufacturing industries rely on service inputs, many scholars have begun to focus on how to improve the industrial productivity by promoting the service trade opening-up. Some researchers believe that service liberalization can improve enterprise productivity, but others believe that service liberalization can inhibit enterprise productivity. The main reasons for such beliefs are as follows: the first one is the lack of close links between the service and the industry, so is within the service; the second one is China′s technology-intensive service sector lags behind labor-intensive service sector; and the third one is the different service trade models have different effects on the efficiency of different types of industrial production. The existence of industrial heterogeneity means that the influence of the service trade opening-up to promote the improvement of industrial productivity also has different mechanisms. Once some channels are blocked, it may affect the technology promotion effect of the service. The crux of the problem is to find the channels which unblock the blocking mechanism. Some studies have found that there is a "Solow paradox" in R&D investment. The "Solow paradox" means that with the increase in R&D investment, the enterprise productivity will not rise, but continue to fall. The explanation for the "Solow paradox" of R&D investment mainly includes the moderation theory of R&D investment, the lag effect of R&D investment and the mismatch of R&D investment structure. The "Solow paradox" of R&D investment has become an entry point to study the influence of the service trade opening-up on the industrial productivity.
       Based on the panel data of twenty-three industries in China from the year of 2003 to 2014, this paper theoretically builds transmission and unblocking mechanism models of the service trade opening-up affecting the industrial green total factor productivity (GTFP), and uses both the mediating effect model and the moderating effect model for empirical analysis. Mediating effect model are often used to analyze the influence channels and action mechanisms of one variable on another variable. This is not possible with regression analysis, so more in-depth mechanism analysis can be performed. This article assumes that service trade opening affects industrial GTFP by affecting technological progress, and uses a mediating effect model to test the transmission mechanism of service industry opening through technology promotion effects to affect industrial GTFP. In addition, using the matching degree of R&D personnel and R&D expenditure as a variable to test whether the blocking conduction mechanism can be corrected by improving the matching degree of R&D investment.
        From the perspective of matching R&D investment, the paper tests the unblocking paths of service trade opening-up affecting the improvement of industrial GTFP, and compares the difference of unblocking effect in different industries. Specifically, on the one hand, the industrial GTFP is measured and compared with traditional total factor productivity. The result shows the industrial GTFP is lower than TFP, which means that there is still much room for industrial green transformation in China. On the other hand, from the three levels of all-industry, technology-intensive differences and differences in pollution levels, the mediating effects of the service trade opening-up through technology promotion effect on industrial GTFP are tested and compared. Then, by introducing the interaction term of service trade opening-up and R&D investment matching, the moderation effect model is used to test how to unblock the blocked technology promotion transmission mechanism, and compare the differences of the unblocking effects of different industrial types. 
        The main conclusions obtained in this paper are as follows: firstly, based on the all-industry level, the impact of service trade opening-up on industrial GTFP is not obvious, mainly because R&D investment has a "hiding effect", and the indirect path of service trade opening-up affecting industrial GTFP through technology promotion effect weakens the direct effect of the service trade opening-up on the industrial GTFP, resulting in the transmission mechanism of the technology promotion effect of the service trade opening-up on industrial GTFP is blocked. Secondly, in low-tech-intensive and high-tech-intensive industries, the mediating effect of service trade opening-up that improves industrial GTFP through technology promotion effect is not obvious, indicating that the mechanism of service trade opening-up improving industrial GTFP through technology effect is blocked. In low-tech-intensive industries, the blocked technology promotion transmission mechanism can be corrected by increasing the adaptation degree of R&D funding and R&D personnel investment; in high-tech-intensive industries, the effect of correcting the blocked technology promotion transmission mechanism by increasing the adaptation degree of R&D funding and R&D personnel investment is limited. Thirdly, in the clean industries, the mediating effect of the service trade opening-up promoting industrial GTFP is negative and significant, not significant in moderately polluting industries, and positively significant in highly polluting industries. This shows that in the two industries, the environmental regulations are relatively loose, the "innovation compensation effect" is not easy to play, and it is difficult to guide the R&D investment towards clean or green technology development. The transmission mechanism of the service trade opening-up promoting the industrial GTFP through technology effect is blocked and can be corrected by increasing the adaptation degree between R&D funding and R&D personnel. In highly polluting industries, due to strong environmental regulations, the mechanism of the service trade opening-up affecting industrial GTFP through technology promotion effect is relatively smooth.
        Based on the above conclusions, the policy recommendations of this article are as follows: Firstly, we must incorporate environmentally friendly features into the connotation of industrial transformation and upgrading, taking GTFP as the main goal of high-quality economic development, and pay special attention to green technological progress for the development. Secondly, the appropriate matching of R&D funding and R&D personnel can correct the blocked conduction mechanism to a certain extent, but in different industries, the effect of correction is also different. Therefore, it must be treated differently according to different industries.
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    An analysis of the influencing factors of new R&D institutions based on ISM
    Mao Yihua, Cao Jiadong, Fang Yanling
    2022, 43(8): 55-62. 
    Abstract ( 150 )  
       The new R&D institution is a new model of collaborative innovation of "government, industry, study, research and implement". It refers to the establishment of one or more entities, diversified models, the operation of an enterprise-oriented mechanism, and market-oriented operations. It is mainly engaged in R&D, incubation and achievement transformation activities. Driven by the government, universities, research institutes and enterprises have actively participated in the establishment of a large number of new R&D institutions. The construction of new R&D institutions, as the basic conditions for carrying out technological innovation and realizing scientific and technological progress, occupies an extremely important position in the construction of the innovation system. It has gradually become a new type of industry-university-research collaborative innovation platform that relies on scientific and technological innovation to transform the economic growth mode and adjust the industrial structure. 
        However, the construction, operation and management of new R&D institutions are mostly at the exploration stage. In the process of construction and development, they still face many problems such as ideology, development orientation, construction mode, and mechanism. The emergence of various problems such as imperfect operating mechanisms, unclear institutional positioning, limited capital investment, unclear division of labor among multiple entities, and inappropriate organizational forms make it difficult for all parties to co-build to realize their original intentions and needs, and the results achieved are not significant. The organization′s operation is blocked and its development is restricted. At present, scholars have studied the influencing factors of new R&D institutions, but few scholars have studied the relationship between various influencing factors, and have not done research on the operation mechanism of the construction and development of new R&D institutions. 
       In this paper, the CNKI search route is set to "theme" as "new research and development institution" or "Industrial Technology Research Institute" or "Industrial Technology Research Institute". The publication time is selected from 2008 to 2019. The main criteria are the amount of data and the number of downloads, and 43 effective literatures are screened. Through reading, the preliminary influencing factors are screened out. Through expert interviews and industry interviews, the factors were summarized, combined, and arranged to extract the final new R&D institution construction and development influencing factors, a total of 18. 
        Based on the Interpretation Structure Model, this paper investigates and interviews the relationships between various influencing factors, summarizes the interview results, and finally forms a two-element adjacency matrix, and calculates the corresponding reachability matrix in Matlab. In this paper, the relationship between reachable set R, antecedent set A, and common set T is collated, and it is concluded that the factors affecting the construction of new R&D institutions are divided into four levels. The influencing factors at the first level are 4 factors: R&D and industrialization sites, R&D equipment, intellectual property protection, technology and management talents. The influencing factors at the second level are 5 factors: the innovation platform construction, the achievement transformation mechanism, the project incubation mechanism, the market-based revenue distribution mechanism, and the risk control mechanism. The influencing factors at the third level are 6 factors: government funding support, organizational system, maturity of scientific and technological achievements, knowledge coordination, policy support, and industrial funds. The influencing factors at the fourth level are 3 factors: regional environment, resource integration and allocation, and construction positioning. 
         Based on the hierarchical relationship structure, this paper sorts out the operation mechanism of the new R&D institution, directly relies on the site, equipment, talents, and intellectual property rights. It builds on the development positioning, regional environment, resource integration, government funding, organizational system, and maturity of results. New R&D institution is supported by risk control mechanism, project incubation mechanism, achievement transformation mechanism, and market revenue distribution mechanism. What′ more, it is supplemented by policy support, industrial funds, knowledge collaboration, and platform construction. The development of the organization depends on the four main bodies of society, government, enterprises and universities. The mutual coordination and information flow of the five are necessary conditions for improving the participation of the main body. Through the main body participation, environmental support, and mechanism support, priority is given to ensuring direct dependence and efforts. Consolidating the foundation for development and strengthening the support and support of mechanisms in parallel can effectively promote the development of new R&D institutions, which is of great strategic significance for the country to implement an innovation-driven development strategy, promote industrial transformation and upgrading, and regional economic growth. 
        This paper suggests that new R&D institutions need to improve their ability to integrate resources, clearly define their positioning, promote knowledge coordination, build a modular knowledge system, leverage financial capital, and support the transformation of scientific and technological achievements so that it promotes the construction and development of new R&D institutions much better.
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    Research on government-business relations and innovation decision-making of private enterprises
    Jiang Xu, Jin Ruijie, Shen Mingmei
    2022, 43(8): 63-72. 
    Abstract ( 197 )  
       In 2006, the Chinese government launched a policy reform to encourage indigenous innovation, which was applicable to all Chinese enterprises. The policy change has produced an increasing number of domestic patent applications. However, most of those patents are low-quality utility patents, with a small proportion of high-quality invention patents. Considering the critical role of the state in economic development, government-business relations are prominent for Chinese enterprises. However, prior research on the impact of political connections on firms′ innovation decisions remains inconsistent. Some studies show a beneficial impact of political connections on corporate innovation while others suggest a detriment effect. These contradictory perspectives and empirical findings present an unresolved theoretical puzzle: Do political connections promote or dampen firm innovation?
    Drawing on the political embeddedness perspective, this study examines how direct and indirect political connections affect private enterprises′ innovation strategies. Using a sample of Chinese private enterprises from 2008 to 2017, the empirical results show that Chinese private enterprises with direct political connections are more inclined to promote low-quality strategic innovation rather than high-quality substantive innovation, indicating that excessively intimate relationships with the government becomes the "curse" of innovation. Though such intimate relationships can generate a larger amount of low-quality strategic innovations, it will actually inhibit the development of substantive innovation. Private enterprises with indirect political connections engage in both types of innovation, but they are more inclined to employ substantive innovation rather than strategic innovation. This indicates that moderately intimate relationships with the government is the "blessing" of innovation, which is conducive to generating more innovation output, especially a larger number of high-quality substantive innovations. When private enterprises operate in regions with higher institutional development, the positive effect of direct political connections on strategic innovation will be weakened, the negative effect of direct political connections on substantive innovation will be strengthened, and the positive effects of indirect political connections on both strategic and substantive innovation will be strengthened. Moreover, when private enterprises have a larger administrative hierarchical distance with the central government, the negative effect of direct political connections on substantive innovation and the positive effect of indirect political connections on strategic innovation will be strengthened, but the positive effect on substantive innovation will be weakened. 
        This paper makes several contributions to the literature. First, we respond to the existing debate regarding the balance between innovation quantity and quality, enriching the research on corporate innovation strategy. Second, through solving the puzzle regarding the impact of political connections on firm innovation, this study advances the research on corporate political connections. Third, this paper extends the application of political embeddedness theory by revealing the paradox effects of political embeddedness on firm innovation. Finally, this paper contributes to the institutional complexity research by establishing a comprehensive framework to understand the effects of political connections within China. 
        This study also has some practical implications. First, in order to ensure the balance pertaining to the quantity and the quality of innovation, policy makers should build "close" but "clear" government-business relations to avoid the "curse effect" of collusion between businesses and government officials on innovation. At the same time, it is necessary to speed up market-oriented reforms, create a fair market competition environment, and build an endogenous institutional environment that helps private enterprises to develop core technological innovation capabilities and generate more high-quality innovations. Second, firms should be aware of the double-edged effect of political connections on innovation. On the one hand, firm managers should avoid building direct political ties with government officials that are "close" but not "clear", otherwise it will inhibit private enterprises′ high-quality innovation outputs. On the other hand, private enterprises should make full use of the value of indirect political connections. The benefits derived from industry associations can help break through the bottlenecks in fund raising, resource acquisition, fair competition, and intellectual property protection, promoting the production of more high-quality substantive innovations. 
        This study is not without limitations. First, this paper only differentiates between direct and indirect political connections and examines their distinct impacts on corporate innovation. Future research could examine other taxonomies of political connections and their outcomes. Second, this paper only uses utility and invention patents to measure strategic innovation and substantive innovation, respectively. Future research could complement our study by using measures such as patent novelty or patent semantic citation. Finally, this paper only adopts the registered address of private enterprises as the basis for calculating administrative hierarchical distance. Future research could consider measuring the variable based on the administrative hierarchy of the government that governs private enterprises.
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    Resource reconfiguration capability and business model innovation: A view based on dynamic capability bundle
    Hu Baoliang, Tian Maoli, Liu Guang
    2022, 43(8): 73-80. 
    Abstract ( 146 )  
       Recently, dynamic capability has been considered to promote BMI and has become one of the key antecedents of BMI. However, there are three gaps in the current research. First, the existing literature is lack of the research on the influence of low order components of the dynamic capability especially resource reconfiguration capability on BMI. Second, the existing literature which claims that the dynamic capability is an antecedent of BMI needs sufficient evidences because dynamic capabilities are controversial since they are prone to collapse and show homogeneity among enterprises. Third, the existing literature on understandings of dynamic capabilities affecting BMI is incomplete due to the lack of studying the mediating variables and has encountered difficulties in practical applications.
        This paper uses the dynamic capability bundle to explore the relationship between resource reconfiguration capability and BMI to address the gaps. The dynamic capability bundle is composed of stable part (ordinary capabilities) and dynamic part (dynamic capabilities), so it is more stable and more difficult to collapse than dynamic capabilities alone in fast changing environments, and more heterogeneous and more difficult to be imitated than dynamic capabilities alone in medium changing environments. Another valuable view of the dynamic capability bundle is that dynamic capabilities can indirectly affect the behavior and performance of enterprises through the ordinary capabilities in the capability bundle, which provides a way for enterprises to obtain the effects of dynamic capabilities. 
        This paper takes customer and supplier integration as the ordinary capabilities with which resource reconfiguration capability can combine to form dynamic capability bundles, and studies the influence of resource reconfiguration capability on BMI. Based on the data of 154 enterprises, the following findings are obtained by using hierarchical regression analysis method. First, the two dimensions of resource reconfiguration capability, i.e. resource recombination and resource reallocation capabilities, have positive impacts on BMI. Second, the two dimensions of supply chain integration, i.e. customer and supplier integration, have positive impacts on BMI. Third, customer integration partly plays a mediating role in the influence of resource recombination capability on BMI, which means that resource recombination capability can form a dynamic capability bundle with customer integration. Fourth, customer and supplier integration partly play mediating roles in the influence of resource reallocation capability on BMI, which means that resource reallocation capability can form dynamic capability bundles with customer and supplier integration respectively.
        This paper has the following theoretical contributions. First, this paper reveals the impact of resource reconfiguration capability which is one of the low order components of dynamic capability on BMI. Second, this paper finds a solution to the dispute that dynamic capabilities can affect BMI, and it also adds some strong evidence for the proposition that dynamic capabilities can affect BMI. In this paper, the dynamic capability bundle is introduced into the study of the impact of the dynamic capability on BMI. It is found that the resource recombination capability can form a dynamic capability bundle with customer integration and in turn significantly affect BMI; resource reallocation capability can form dynamic capability bundles with customer and supplier integration and in turn significantly affect BMI. Third, this paper reveals the path of the dynamic capability influencing BMI by taking resource reconfiguration capability as an example. Specifically, resource recombination capability can indirectly affect BMI through the mediating role of customer integration; resource reallocation capability can indirectly affect BMI through the mediating role of customer and supplier integration respectively.
        This study has the following management implications. First, enterprises can develop their resource recombination and resource reallocation capabilities to promote BMI. Second, enterprises should adopt and use the structure, process and technology of coordination and cooperation with major customers and suppliers to promote customer and supplier integration, and then promote BMI. Third, enterprises can promote resource recombination capability with customer integration to form a dynamic capability bundle and in turn promote BMI; they also can promote resource reallocation capability with customer and supplier integration to form dynamic capability bundles and in turn promote BMI. 
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    Research on measurement of government-industry-university cooperative innovation from the perspective of knowledge innovation
    Lei Huaiying, Zhang Wenjie, Jia Xiaolei
    2022, 43(8): 81-89. 
    Abstract ( 119 )  
       Government-Industry–University Cooperative Innovation plays an important role for improving national independent innovation ability and promoting scientific and technological innovation and economic development. How to improve the efficiency of collaborative innovation and how to play the guiding role is of great research value on the part of the government to ensure the stability of collaborative innovation system. 
        In the past, most scholars have studied the game evolution strategies of Government-Industry–University Cooperative Innovation, and the strategies choices among during the collaborative innovation process, they exploited the characteristic payoff function of a cooperative game from the factors. The purpose of this paper is to study systemically the measurement of stability of collaborative innovation alliance, and the role of each body in alliance and its development trend. However, as the model of constructing payoff function cannot meet the needs, we modeled the Triple Helix of university-industry-government relationships with game theory, core, Shapley value and nucleolus as indicators of synergy within an innovation system. 
       Triple Helix of Government-Industry–University relationships is a three-person cooperative game with transferable utility. The core, the Shapley value and the nucleolus are suggested as indicators to measure the synergy between innovation actors. The three indicators have different roles in the synergy effect. The core not only expressed the interests of the single factor, but also expressed the whole factors and the constraints around the whole factors exerted on them; The core determines existence and level of synergy within a Triple Helix innovation system, which can be used to measure the extent of the synergy and the stability of innovation coalition. Within the framework of the Triple Helix relationships, the Shapley value is defined as the power of an actor to lead to and create synergy, it can be used to measure the percentage of each contribution factors cause to create synergy which can show the lead factor and strength of the create synergy. The nucleolus indicates the "more acceptable" distribution of the total payoff among players, the basic idea behind the nucleolus is to make the least happy coalition as happy as possible, which can determine the power of coalitions so that to maintain synergy of the systems. The difference between the Shapley values and the nucleolus can measure the contribution of the innovation subject to maintaining the stability of the innovation alliance.
       This paper, on the basis of the triple helix framework, has taken scientific research papers as an indicator to measure the creative product. Knowledge innovation based on scientific research is the foundation and the key of innovation, and knowledge innovation is the foundation of technological progress, so we have collected the scientific research papers from governments, industries and universities since 2006. With the help of the core, Shapley value and nucleolus, this paper has carefully studied through data analysis the changing process of the synergy relationship of government-industry-university in China since 2006 with the following conclusions: 
       (i) From the number of scientific papers published in scientific journals, the ability of collaborative innovation between government, industry and university in China has been increasing year by year, and surpassed the United States in 2012.The scope of the nucleolus of the collaborative innovation between government, industry and university in China has become wider and wider, which illustrates that the ability of collaborative innovation is becoming more and more powerful, and there is a greater space to form collaborative innovation coalition, leading simultaneously to the generation and creation of more synergy effects. The position of the core also indicates the share of each actor in the total revenue of collaborative innovation. Generally speaking, the university has the largest revenue share (80-100%), the revenue share of government is 0-20%, and industry account for less than 5% of the total revenue; 
       (ii) Through the data analysis of the Shapley value, we have found that the main factor leading and producing the synergy effect is university followed by government and the weakest factor is industry. Then over time, we have found that the synergy effect between government, industry and university in China is also changing,the synergy effect of the university is becoming gradually weaken, the synergy effect of the government and industry is becoming gradually strengthen; 
       (iii) The nucleolus may be interpreted as a fair allocation based on the coalitions of which players are a member, through the nucleolus data analysis, we have found that the government plays a role in leading and encouraging the synergy innovation. During the processes of allocating interests, the government has given the biggest share to the universities and industries, and especially to the universities, in order to simulate the motivation and enthusiasm from the universities and industries to participate in collaborative innovation synergy coalitions. This can greatly help to maintain the synergy coalitions more stable, indicating clearly that the government′s giving more benefits to the universities and industries has constituted the main impetus of the increasing synergy innovation and creative achievements in China; 
        (iv) In comparison with the United States, we have found that the synergy effect of collaborative innovation in China is larger than in the United States, and the changing trend of the synergy effect is also more obvious than the United States. However, the contribution from the industry synergy in China is much smaller than in the United States, but the government′s guiding role and contribution in the collaborative innovation coalitions is much greater than in the United States. It indicates definitely that China′s government has been made more efforts in order to generate and maintain the synergy effects than the United States;
        (v) The Chinese government plays an important role in regulating collaborative innovation coalitions during the processes of allocating the interests from the synergy innovation alliances. Traditionally the government has granted more benefits to the universities than to the industries. However, since the industry is an important carrier in translating the knowledge innovation achievements into productivity, therefore, in the near future, it is urgently necessary for the government to stimulate the industry to be involved in the collaborative innovation actively, so as to enable the industry to gain more enthusiasm to participate in tripartite cooperation and innovation. It is necessary for the government to articulate specific policies to promote and guide the industry, and grant it more benefits than ever before.
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    The influencing factors on the willingness to participate in virtual corporate social responsibility co-creation
    Zhang Jiemei, Wang Hao
    2022, 43(8): 90-99. 
    Abstract ( 139 )  
        In the digital context, enterprises continue to explore new ways to fulfill their social responsibilities, and encourage consumers to contribute to solving social problems by building scenes with digital technology. Virtual Corporate Social Responsibility Co-Creation (VCSRC) refers to the endeavors by enterprises in social media like Micro-blogs and WeChat public accounts to attract and involve customers in activities that fulfill their corporate social responsibilities. It can establish brand image, publicize corporate culture, establish a stronger relationship between customers and enterprises, and bring more considerable financial performance to enterprises in the future. Only by deeply understanding the driving factors behind customer participation and attracting customers to join, can enterprises make better use of VCSRC to provide development power for enterprises. Compared with the single participation form of traditional corporate social responsibility, customers, in VCSRC, can understand the activity content based on internet information, form a preliminary judgment on the activity itself, and know their subjective initiatives, which will have an impact on the subsequent participation behaviors. Therefore, the division of different types of customers′ perception and the analysis of psychological activities brought by perception can provide new ideas for the effective implementation of VCSRC and create sustainable competitive advantages.
        At present, the research on VCSRC mainly involves the direct driving factors of customer participation and the performance brought by participation in co-creation. In the digital environment, many enterprises have endowed customers with more rights to know so as to enhance their sense of control in co-creation activities. This mediating role of customer psychological empowerment in corporate social responsibility perception on willingness to participate has not been explored in previous studies. Hence, it is of theoretical and practical significance to discuss the impact of customer psychological empowerment. Based on previous studies, this paper further discusses the relationship between corporate social responsibility perception and willingness to participate by using data statistical analysis, and studies the mediating role of customer psychological empowerment and the regulatory role of corporate reputation, revealing the mechanism of corporate social responsibility perception on the willingness to participate in VCSRC.
        This study takes customer psychological empowerment (right to choose, right to know and influence power) as the intermediary variables to explore the mechanism of corporate social responsibility perception (interest perception, emotional perception and expectation consistency) on participation intention. Through empirical analysis, the paper concludes that interest perception has a significant positive impact on participation intention through right to choose, right to know and influence power; Emotional perception has a significant positive impact on participation intention through right to choose and right to know; Expectation consistency has a significant positive impact on participation intention through right to choose, right to know and influence power; Corporate reputation plays a positive role in perception of interests, right to choose and right to know; Corporate reputation only plays a positive role in emotional perception and right to choose; Corporate reputation plays a positive role in expectation consistency and right to choose,  in right to know and influence power.
        According to the three dimensions of interest perception, emotion perception and expectation consistency divided by previous research, this paper proposes, through empirical analysis, that in the digital environment, corporate social responsibility perception is the driving factor of customer participation in VCSRC, and that customer participation is the key to VCSRC and value realization. This paper enriches the theoretical system of customer participation in VCSRC, and also provides new ideas for enterprises to effectively carry out VCSRC. Secondly, this study enlarges the application scope of customer psychological empowerment, and confirms that customer psychological empowerment (right to choose, right to know and influence power) plays an intermediary role in the impact of corporate social responsibility perception on participation intention. It provides new visions for the research system of VCSRC, and provides strong guidance for enterprises to improve the activity mechanism according to customer psychological empowerment. Finally, through empirical analysis, it proves the regulatory role of corporate reputation in corporate social responsibility perception and customer psychological empowerment, further enriches the theoretical framework of VCSRC, and confirms the important role of corporate reputation in customer participation in VCSRC.
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    The evolution, knowledge system and method tools of scientific data reuse——A concurrent discussion of the influence of the fourth research paradigm
    Huang Xinzhuo, Mi Jianing, Zhang Changping, , Gong Yixuan 
    2022, 43(8): 100-108. 
    Abstract ( 161 )  
       Data reuse, the reuse of scientific data to solve new research problems, accepts both the new interpretation of data explored by other researchers and the new test of original research data by researchers using other analysis technologies. Although big data, research infrastructure and informatization of the research environment are transforming scientific research into the fourth research paradigm, data reuse has provided an effective way for new scientific discovery and knowledge innovation. Its public value increases daily as a strategic resource of national scientific and technological innovation and scientific research infrastructure. The research of data reuse has received much attention in the past 20 years, but the knowledge system in this subject area has not yet been established and lacks proper planning and forward-looking prediction.
       This study comprehensively uses the bibliometric methods and knowledge map analysis tools (such as HistCite and CiteSpace) to process and analyze the large-scale research literature data objectively and intuitively. Using the Web of Science database as the source of literature collection, we utilize the "data reuse", "data re-use", "data reusing", "reusing data", "reusing of data", "secondary data use", and "data re-usability" as the keywords and the deadline of data collection was March 20, 2021. This study involves 364 papers in sum finally.
        The main findings and theoretical contributions of this study are as follows:
        (1) The existing research on data reuse presents the development path, evolution process, driving factors, and research structure of "two main lines", "three stages", "four forces" and "five core fields". From the perspective of the development path, data reuse is mainly carried out along two main lines, which run through three evolutionary stages: germination (before 2006), development (2007-2014) and outbreak (2015-). From the keyword co-occurrence analysis, data reuse research has five core fields: basic theoretical research, data sharing and reuse relationship, user behavior and scientific research management, data reuse ethics, and data reuse in various disciplines.
        (2) The knowledge system of data reuse research consists of four levels, including the guarantee platform layer, theoretical foundation layer, research branch layer and method tool layer. The development of digital scientific research and data infrastructure, the change of data behavior, scientific research evaluation, and the development of big data technology are the frontiers and growth points of developing four levels of knowledge systems and methods and tools. They also constitute the four driving forces for the in-depth development of scientific data reuse: the needs of big scientific research and the formation of a digital scientific research environment, the development of the data-intensive scientific discovery, the recognition of scientific data achievements, and the development of digital technology.
        (3) The subsequent research on data reuse has an opportunity window for academic research in five aspects: public academic value of scientific data, behavior and mechanism of data reuse, influence of data reuse, policy of data reuse, and data reuse in the different fields. We expect the academic community to follow up continuously on these research topics and provide theoretical supports for practically improving scientific data reuse.
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    A study of the influence of venture capital on corporate risk-taking ability
    Liu Eping, Zhong Junyu, Zhao Weijie
    2022, 43(8): 109-118. 
    Abstract ( 213 )  
        In recent years, with China′s policy continuously stressing on innovation, scientific and technological innovation has been the main theme of China′s current development. However, scientific and technological innovation investment often goes along with high risks. Therefore, how to promote corporate risk-taking is pivotal to accelerate the pace of scientific and technological innovation in China. Risk taking is to some extent fundamental to the survival and development of entrepreneurial enterprises. Corporate risk-taking plays an important role not only in promoting enterprises′ innovation enthusiasm and R&D investment, but also in improving the efficiency of enterprise resource allocation and enterprise value. What′s more, corporate risk-taking takes an active role in promoting social capital accumulation and improving social productivity. However, high-risk investment projects need higher start-up capital. That means the capital holding and financing constraints of enterprises will significantly affect the attitude and the following risk choices of insiders. Moreover, in order to protect their private benefits such as their unique human capital and on-the-job consumption in the enterprise, insiders may tend to be conservative in choosing corporate investment, even to the extent of passing up value-enhancing risky projects. These problems result in low corporate risk-taking.
       As a strategic investor, venture capital tends to invest in low-mortgage, high-growth, high-risk and high-yield projects. Venture capital plays an active role in reducing agency cost and alleviating agency problem of enterprises, so it has a good fit with corporate risk-taking. Understanding the relationship and mechanism among venture capital, corporate risk-taking and enterprise innovation helps to provide useful guidance for relevant practices. It is also of great practical significance to promote corporate risk-taking, stimulate enterprises′ innovation investment and facilitate the development of innovation and entrepreneurship in China. 
       Based on the theoretical premise that venture capital can alleviate the agency problem of enterprises and reduce the financing cost of enterprises, this paper constructs a three-party dynamic game model that includes entrepreneur, venture capitalist and bank. The model shows the process that venture capitalist affects corporate risk-taking. Then this paper verifies the relevant conclusions of the theoretical model through empirical research based on the data of China′s listing companies from 2007 to 2018. Causal steps approach and Sobel test are used to test the mediating effect of corporate risk-taking between venture capital and corporate innovation investments. What′s more, if VCs have private information about the firms they invest in and particularly if such information is correlated with future corporate risk-taking increases, our traditional OLS regression may not properly capture the screening and monitoring effects of VC backing. We therefore use switching regression with endogenous switching method to alleviate the endogenous problem caused by the selectivity bias and unobservable factors of venture capital. This method, in the form of "what-if" problem, considers whether the corporate risk-taking without (with) venture capital will change if the enterprise has (without) venture capital, which can better explain the causal relationship between venture capital and corporate risk-taking. In addition, the paper also adopts the propensity score matching method to alleviate the endogenous problem caused by the sample selectivity bias.
        The results show that there is a significant positive correlation between venture capital and corporate risk-taking, implying that venture capital can promote corporate risk-taking. The impact of venture capital with different characteristics on corporate risk-taking is different. The high-shareholding, syndicated and high-reputation venture capital have more obvious influence on corporate risk-taking. This conclusion is still robust after the use of switching regression and propensity score matching method. And then, we test the mechanism of venture capital on corporate risk-taking. Two kinds of mechanisms have been identified. Venture capital can improve the ability of corporate governance and reduce the degree of financing constraints which increase the corporate risk-taking. As expected, compared with the low-shareholding, independent and low-reputation venture capital, the high-shareholding, syndicated and high-reputation venture capital are more active in improving corporate governance capacity. The high-shareholding, syndicated and high-reputation venture capital can significantly reduce corporate financing constraints, while the low-shareholding, independent and low-reputation venture capital have no obvious effect. Finally, this paper empirically tests the relationship among venture capital, corporate risk-taking and corporate innovation investment. We measure internal innovation and external innovation with R&D investment and technology acquisition. The results show that corporate risk-taking plays a mediating role between venture capital and corporate innovation investment. Venture capital can promote corporate R&D investment and technology acquisition by enhancing corporate risk-taking.
        This paper makes several important contributions to the academics. In theory, this paper constructs the theoretical model among entrepreneur, venture capitalist and bank, which helps to strengthen understanding the interaction between venture capital and corporate risk-taking. This paper also illustrates the logic framework among venture capital, corporate risk-taking and corporate innovation investment, which provides a theoretical basis and an analytical perspective for future research. In terms of methodology, by adopting the method of switching regression and propensity score matching, this paper distinguishes the "screening effects" and "monitoring effects" of venture capital and reveals the positive influence of venture capital on corporate risk-taking. In practice, the conclusions of this research have important implications for entrepreneurs and policy makers. As far as enterprises are concerned, the improvement of corporate risk-taking is crucial to corporate innovation investment, which is directly related to R&D investment and technological acquisition. But agency problems and capital constraints make corporate risk-taking at a relatively low level. From the perspective of venture capital, this paper finds that venture capital is of benefit to alleviating internal agency problems and financing constraints. Consequently, it is an effective way to enhance the corporate risk-taking by reasonably introducing venture capital and giving full play to the monitoring function of venture capital. As far as policy makers are concerned, venture capital′s value-added service is inseparable from the healthy development of the venture capital market and the establishment and improvement of the legal system related to investor protection. As venture capital drives corporate risk-taking and innovation investment, it will further promote social productivity and economic growth.
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    Research on the relationship between enterprise decline and innovation behavior——The moderating effect of slack resources and CEO tenure
    Liu Ligang, Jiang Lili
    2022, 43(8): 119-128. 
    Abstract ( 130 )  
       The development of enterprises is faced with the repeated process of growth, maturity and decline. There are many complicated causes of decline and the strategies adopted by declining enterprises often determine their survival and sustainable development. Whether to give up or to seek new development opportunities is the confusion and strategic challenge faced by enterprise managers. Decline is defined as the continuous deterioration of the performance or resources of the enterprise over a period of time (Trahms et al., 2013). It is bound to weaken the competitiveness of enterprises and hamper their sustainable development. If the appropriate recovery strategy is not adopted in time, it is highly possible that circumstances might lead to the death of enterprises. Nowadays, under the background of big data, the applications of artificial intelligence and Internet of Things, enterprises are facing the most complex and confusing environment ever, which could increase all kinds of uncertainty and risks. It is an unavoidable fact that enterprises encounter with decline in business activities.
        In view of the continuous threat of decline, how to reverse the decline to achieve recovery is still a highly concerned and urgent problem to be solved by business managers. Relevant scholars call for innovation as a solution for declining enterprises (Wiseman & Bromiley, 1996; Mone et al., 1998; Greve, 2003; Audia & Greve, 2006; McKinley et al., 2014). But does decline promote innovation or produce rigidity to restrain innovation? This is still an important unsolved academic problem. Scholars have been arguing about the strategic tendency of declining enterprises. McKinley (1993) divides them into two camps: "decline is the mother of innovation" and "decline is the mother of rigidity". Scholars who advocate that decline could boost innovation cite the behavioral theory of the firm and prospect theory and claim that managers seek risks when they face performance below the average level (Cyert & March, 1963; Kahneman & Tversky, 1979). On the other hand, the scholars who advocate that decline might restrain innovation rely on the "threat-rigidity" hypothesis, and claim that decline restrain the risk-taking of management, so as to reduce the change and adaptation of the organization to avoid innovation (Staw et al., 1981). Liu Jianguo (2017), a domestic scholar, suggests in his research that performance decline increases the motivation of enterprises innovation behavior, and the larger the degree of decline, the more likely the enterprises are to achieve recovery through innovation; Tang Chaoyong and other scholars (2018; 2019) use first-hand data to verify that decline has a positive impact on organizational innovation; Li Sihai and other scholar′s research (2018) suggests that enterprises suffering performance decline have not significantly increased their R&D investment.
        The uncertainty of the relationship between enterprise decline and innovation behavior shows that the mechanism of their influence has not been fully analyzed, and there is still a need for further interpretation. The following two research hypothesis are worth thinking about: firstly, it might be to break through the dichotomy camp of "decline is the mother of innovation" and "decline is the mother of rigidity", to integrate the behavioral theory of the firm, prospect theory, and "threat-rigidity" hypothesis, and to add the point of view of survival reference point (March & Shapira,1987), it is assumed that there is a non-linear relationship between enterprise decline and innovation behavior (Chen & Miller, 2007); the second is to find the contingency factors of the relationship between enterprise decline and innovation behavior (Mone et al., 1998; Audia & Greve, 2006; Latham & Braun, 2009; Tang Chaoyong et al., 2018; 2019). Slack resources are the key to the innovation of enterprises in the state of decline. In addition, CEO is the core force of the executive team, and CEO tenure can also significantly affect the risk decision-making of enterprise innovation.
        Based on the behavioral theory of the firm, prospect theory and "threat-rigidity" hypothesis, this study analyzes the relationship between enterprise decline and innovation behavior, and discusses the regulatory effect of slack resources and CEO tenure on such relationship. By using the data of A-share manufacturing listed companies in Shanghai and Shenzhen stock markets from 2012 to 2016 and adopting the fixed effect model regression analysis, the following conclusions are obtained: (1) the relationship between enterprise decline and innovation behavior is not a simple linear one, but an inverted U-shaped one in which the intensity of enterprise innovation behavior first rises and then declines with the deepening of decline, and this finding was still valid after endogenous control and robustness test; (2) slack resources play a significant positive role in enterprise decline and innovation behavior, the more slack resources an enterprise has, the more wealth there is, it can turn to help the enterprise to innovate, to reduce the impact of decline on the enterprise, and to strengthen the ability of innovation behavior in the declining predicament; (3) the positive regulatory effect of CEO tenure on enterprise decline and innovation behavior is closely related to the degree of decline, with the deepening of the decline, its positive regulatory effect is gradually weakened. Further examination of the regulatory effect of the nature of property rights shows that the state-owned property rights play a positive regulatory role between the decline of enterprises and innovation behavior, but this regulatory role is not significant.
        The research results not only expand the previous research on the relationship between innovation and rigidity paradox of declining enterprises and the theoretical research on its scenario effect, but also provide the management with enlightenment on how to realize the reversal of the current declining enterprises in China. First of all, managers should actively face the decline. Whether the result is positive or negative depends on how the decline is managed; Secondly, enterprises are desperate to pursue innovation in the decline which may cause enterprises to fall into extreme difficulties or even bankruptcy. On the contrary, if conservative measures are taken to avoid risks, enterprises will become rigid. Therefore, enterprise managers in order to help enterprises reverse the decline and realize the recovery, they should comprehensively consider and timely take innovative actions. Finally, the implementation of innovative actions in the context of decline should be based on the evaluation of their resources and the effective use of the advantages of slack resources. At the same time, the role of CEO tenure should be concentrated to serve the innovation and development of enterprises. In addition, from the perspective of government, it is also suggested that the government′s policies should be more inclined to promote private enterprises, so as to improve the possibility of private enterprises′ strategic recovery through innovation and promote their sustainable development.
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    A study of the research organization mode of translational medicine by taking Germany as an example
    Li Ling, Ge Chunlei
    2022, 43(8): 129-139. 
    Abstract ( 148 )  
       Translational medicine is committed to promoting the two-way translation between basic research and clinical application, promoting the overall development of medicine and improving people′s health level. It has occupied an important position in medical research in the world. But the development of translational medicine in China is still in the exploratory stage, and how to establish the research organization modes suitable for translational medicine is still an urgent question to be solved, and successful practices of other countries would be worth learning. This paper focuses on the German research organization modes of translational medicine through literature analysis and case study. 
       This paper defines translational medicine concept and its role in medical innovation chain. Translational medicine acts as an umbrella bringing together basic and clinical research and encompasses numerous disciplines such as preclinical and clinical trial studies and is the bridge to fill up gaps between different stages of medical innovation chain. Around the world, some new institutions have been established as new modes to promote the development of translational medicine, such as National Center for Advancing Translational Sciences of USA, National Institute for Health Research of UK, and German Centres for Health Research. As there have been quite a lot of studies about practices of USA and UK, Germany has not got much attention. 
       This paper takes German Centres for Health Research and Berlin Institute of Health (BIH) as examples, which are representatives of alliance mode and entity organization mode. The characteristics and advantages of the two modes are discussed in-depth from four aspects, which are organization management structure, research activities pattern, funding pattern and evaluation mode. It could be found that German Centres for Health Research′s power and responsibility are relatively dispersed in the management structure and a "working group & working site" hierarchical structure is adopted to organize its R&D activities. Besides, both stability and flexibility are taken into account in the process of budget allocation and they have set up an assessment index comprised by short-term indicators and medium and long-term indicators. As an entity organization established by Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC) and Charité - Universit tsmedizin Berlin, BIH′s management power and responsibility are concentrated compared to German Centres for Health Research. Its R&D activities are organized across departments, and it has three kinds of fund resources, which support research areas adjusted by talents recruited. For the evaluation, BIH has designed a set of indicators covering the whole chain of translational medicine.
        Based on the comparison of the two modes of translational medicine organization in Germany, it shows that although the two modes have different characteristics, they also have some commonalities: the internal governance structure is complete and effective; research and development activities are organized following the principle of facilitating the cooperation between different personnel and different translation stages; government takes the role of main funder with the supplementary of private funds; fund is invested in not only kinds of R&D projects, but also infrastructure construction and talents development; evaluation index system has been established that reflects the characteristics of translational medicine.
       Finally, combined with our national conditions, this paper puts forward some feasible suggestions to support the construction of translational medicine institutions in China, which include to construct translation institutions by category with a national overall planning; encourage those institutions to apply new management structure; accelerate the cooperation between basic science researchers and clinicians, clinical scientists; enhance the supplement of infrastructure of translational medicine; adopt a mixed funding mechanism that combines stable support and competitive support; and establish a new evaluation system oriented to translational research and talents.
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    Organizational inertia, co-opetition behavior and innovation performance of international enterprises
    Zhang Jiamin, Xue Jinjie
    2022, 43(8): 140-147. 
    Abstract ( 210 )  
       With the development of economic globalization, the internationalization trend of enterprises is more obvious, and more and more enterprises have established co-opetition relationship on an international scale to cope with the diversification of market demand. However, some enterprises are still reluctant to change the behavior patterns within the original organization, resulting in a decline in innovation performance. Previous researchers mostly focused on factors such as production technology, management methods and their impact on innovation performance, and paid less attention to the psychological factors of employees in the organization. The psychological factors of employees will not only affect the organizational status and market competitiveness of an enterprise, but also greatly affect the performance and stability of an enterprise. Does organizational inertia as a psychological term affect innovation performance? Furthermore, according to previous researches, maintaining co-opetition relationship between competitors can maintain the keenness and vigilance of the market while obtaining resources. Co-opetition behavior is beneficial to enterprises. Based on the above, the research questions of this research is as follows: Is it beneficial or unhelpful for enterprises with higher organizational inertia to increase co-opetition behavior? Researching the relationship among the organizational inertia, co-opetition behavior and innovation performance of international enterprise has important guiding significance for improving the innovation ability of enterprises and enhancing the comprehensive strength of the country. At first, this research establishes a theoretical model of these three variables. In this theoretical model, organizational inertia and its three measured variables negatively affect innovation performance; co-opetition behavior has a negative moderating effect on the relationship between organizational inertia as well its three measured variables and innovation performance; co-opetition behavior and its two measured variables have a positive impact on innovation performance. Then from the beginning of November 2018 to the middle of March 2019, the questionnaires were issued. It took more than four months to send out a total of 324 questionnaires. In the end, 103 valid questionnaires were obtained. The effective questionnaire recovery rate was 32%. The data was processed by SPSS22.0 software to empirically and respectively analyze the relationship between the organizational inertia and innovation performance of international enterprises under the moderation of co-opetition behavior, and the relationship between co-opetition behavior and innovation performance. Finally, this research draws theoretical and practical implications. 
       The research finds that: (1) The organizational inertia of international enterprise (insight inertia, behavioral inertia and psychological inertia) has a negative impact on innovation performance, and psychological inertia has the greatest impact. This conclusion shows that to improve the innovation performance of enterprise, it is necessary to reduce the organizational inertia in the company and focus on reducing psychological inertia. The reason is that organizational inertia and its three variables hinder changes in the company′s internal systems and production methods. (2) Co-opetition behavior has a negative moderating effect on the relationship between organizational inertia, insight inertia and innovation performance. This result indicates that when the internal organization of a company is relatively inert, increasing co-opetition behavior can help enterprises improve innovation performance. The empirical results prove the necessity of Chinese enterprises to develop co-opetition relationship. (3) The co-opetition behavior of international enterprises has a positive impact on innovation performance (product innovation, process innovation). In the development process, Foton Motors has established a co-opetition relationship with Weichai Power, Germany′s BOSCH, Austria′s AVL Company, Infineon Technology Company, Daimler Company and other companies to improve innovation performance. This example corroborates the findings of this research. Enterprises should increase co-opetition behavior, acquire the technologies to enhance their core competitiveness, and occupy a place in the international market. 
        This research gave us the following management implications. Firstly, enterprises′ managers and all employees should pay attention to organizational inertia, especially the pressure, anxiety and other emotions generated by employees during the work process. Reducing organizational inertia and psychological inertia based on the existing culture, systems, rewards and punishments. International business managers should have a global sense of co-opetition, and increase co-opetition behavior across the world to reduce the negative impact of organizational inertia on innovation performance. This measure can have a multiplier effect on the growth of innovation performance. Specifically speaking, enterprises can increase co-opetition behavior by increasing the number of participants in the co-opetition relationship, and expanding the scope of the enterprise′s co-opetition relationship. Through these practices, enterprises will get more benefits from co-opetition behavior. 
        Secondly, large enterprises (such as Huawei, Haier, Gome, etc.) that have already adopted the co-opetition strategy should use their influence in the industry, enhance the co-opetition ability, adopt forward integration and backward integration strategies, and expand co-opetition scope, increase its share in the international market, and provide a reference for Chinese companies to develop co-opetition relationship on an international market. Small and medium enterprises should actively learn the co-opetition experience from large enterprises, and explore a road to co-opetition relationship based on their organizational culture and processes. 
        Finally, since the co-opetition behavior of enterprises will positively affect the innovation performance of the enterprises. From the perspective of government policies, due to the large number of small and medium-sized enterprises in our country and the weak economic strength, the government should guide enterprises and formulate laws to protect the legitimate rights and interests of Chinese enterprises in co-opetition relationship. More specifically, it should also encourage enterprises to develop co-opetition relationship through tax adjustments and lower loan interest rates. The government′s encouragement policy is an important driving force for enterprises to develop co-opetition relationship.
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    Has overseas R&D centers promoted the innovation performance of parent companies?
    Li Jingyi, Liu Yao, Sun Xiaofei
    2022, 43(8): 148-156. 
    Abstract ( 118 )  
       China′s automobile manufacturing industry has achieved rapid growth in the past decade. Since 2012, China′s independent automobile brands have gradually set up overseas R&D centers through the cultivation of innovation ability. However, compared with developed countries, the establishment of overseas R&D centers by Chinese enterprises started relatively late and is still in its infancy. According to the theory of monopoly advantage and the theory of internalization, MNCs′ overseas R&D investment can make full use of their own technological advantages to promote the improvement of R&D level. With the increase of R&D internationalization, more and more scholars begin to study the impact of R&D internationalization on innovation performance. At present, there are three kinds of views, positive impact, related impact and negative impact. In other words, there is no clear conclusion about the impact of overseas R&D centers on innovation performance. Therefore, whether enterprises should set up overseas R&D centers, the specific considerations of setting up overseas R&D centers and whether there is a positive impact on the innovation performance of the parent company should be further studied.
        On the basis of previous studies, this paper analyzes the automobile industry, which is more popular in the development of overseas R&D centers in recent years, and analyzes whether the establishment of R&D centers overseas of enterprises can directly affect their own innovation performance, whether the number of patents cited, whether the enterprises are state-owned holding and whether cross-border M&A activities to developed countries can affect the establishment of R&D centers overseas and enterprise innovation performance based on the theoretical analysis and empirical analysis, this paper discusses the influence of R&D internationalization on innovation performance more deeply.
       This paper conducts an empirical test on the relationship between the establishment of overseas R&D centers and the innovation performance of the parent company, and draws the following conclusions:
        First, through the introduction of technology and independent innovation, the establishment of overseas R&D centers has a positive impact on the innovation performance of the parent company. The establishment of overseas R&D centers brings more opportunities for enterprises to obtain world-class technical resources, including not only advanced technology levels and R&D capabilities, but also high-quality talents and cutting-edge information, which promote enterprises to increase their awareness of innovation and enhance their ability to innovate. All parties are committed to the improvement of corporate innovation performance, opening up the world market and improving international competitiveness.
        Secondly, the establishment of overseas R&D centers failed to promote the parent company′s further transformation of technological achievements into technological applications, which had a positive impact on the parent company′s innovation performance. Overseas R&D centers have a significant impact on the "total number of patent applications" and "the number of invention patents", but have not brought positive effects on the quality of patents represented by "the number of cited patents". It is suggested that in future China needs to enhance the innovation performance of enterprises by strengthening the application of innovation results.
        Thirdly, state-owned holdings will be subject to certain restrictions from the host country due to policy support, so they do not play an expected role in the impact of the establishment of overseas R&D centers on the innovation performance of enterprises. But cross-border mergers and acquisitions as a type of organization for companies to set up research and development centers overseas can play a role in promoting innovation performance.
        Finally, this article puts forward the enlightenment about the development of China′s automobile manufacturing industry at the enterprise perspective and the government perspective in combination with the above research conclusions. 
         At the enterprise perspective, first of all, China′s auto manufacturers should speed up the pace of "going global". In the future development, China′s auto manufacturers should focus on the global market, open up the international market, set up R&D centers overseas, and make full use of international resources to enhance their own innovation capabilities. Secondly, we need to establish an innovative and coordinated development mechanism that links overseas R&D centers with the parent company in the future, with the purpose of "improving quality and efficiency". Overseas research and development centers should continue to make breakthroughs on the basis of existing patents, increase the number of cited patents, and strengthen the transformation and application of core technologies. The parent company not only needs to focus on overseas introduction, but also needs to improve its own absorption and technology transformation capabilities. Finally, whether we are setting up an overseas R&D center directly or choosing a cross-border merger and acquisition approach to set up an overseas R&D center, you should make adequate preparations and rationally integrate resources. We need to conduct a comprehensive survey of target companies in advance, to understand the local laws, culture, politics, and other factors that affect mergers and acquisitions, and increase the probability of successful establishment or mergers and acquisitions.
        At the government perspective, firstly, the government can introduce a policy mechanism that encourages automobile manufacturers to invest abroad. Secondly, the government can use the political relationship with the host country to establish a green channel for auto manufacturing companies, so that China′s auto manufacturers can make full use of the host country′s innovation resources and learn the advanced technology and R&D level of the host country enterprises. At the same time, companies should weigh the impact of political resources and establish appropriate political connections so that they can use the "hand of the government" to obtain more scarce resources while avoiding the negative effects of excessive government intervention. Finally, the government needs to increase fiscal, taxation and financial support for the establishment of overseas R&D centers by Chinese automobile manufacturers, to solve problems such as difficult financing and slow financing, and to provide them with credit guarantees. At the same time, more preferential tax reduction or exemption policies on encouraging R&D investment, technological innovation and technology conversion should be introduced in future.
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    Research on the influence of the president′s social network on the innovation behavior of farmers′ cooperatives
    Li Houjian, Hu Yi, Zhang Lingling
    2022, 43(8): 157-164. 
    Abstract ( 70 )  
        With the continuous development of new agricultural operator, the farmers′ cooperative has become an important force to promote agricultural development and increase farmers′ income. In the background of China′s agricultural modernization, farmers′ cooperatives need further innovation to play an important leading role in the process of achieving the organic connection between small farmers and modern agricultural development. So how can we promote the innovation of farmers′ cooperatives? The existing literature does not provide sufficient empirical evidence. The existing research on innovation mainly focuses on enterprises, but little attention is paid to the research on the innovation of farmers′ cooperatives.
        Among the factors that influence farmers′ cooperatives, we mainly concentrate on social network. The reason is that in the rural areas of China, informal systems such as social network lay the foundation for power operation and social system and affect resource allocation and knowledge creation. Therefore, this paper divides innovation into product innovation, technological innovation, management innovation and marketing innovation, and analyzes the relationship between the president′s social network and the innovation of farmers′ cooperatives from the theoretical and empirical perspectives.
       In theory, social networks are carriers of resources, and the information resources are required by economic organizations to carry out innovative activities, which are embedded in social networks. At the same time, social network can also promote resource sharing and disperse various risks in the innovation process of economic organizations to improve innovative efficiency. From the perspective of social network quality, tacit understanding, gift exchange and grace in social network are the key elements of individual information resource sharing. Typically, high levels of trust lead to high value resource exchanges. Thus, it can be seen that the quality of social network represented by trust can promote resource sharing and thus promote the innovation of farmer cooperatives. From the perspective of heterogeneity of social networks, by occupying the middle position across the structural hole in the network, diversified non-redundant information and knowledge can be obtained, and the integration of such heterogeneous knowledge can improve the innovation efficiency. Therefore, this paper holds that the quality and heterogeneity of presidents′ social network can promote the innovation of farmer cooperatives.
       This paper analyzes the impact of the president′s social network on the innovation of farmers′ cooperatives by using the survey data of planting farmers′ cooperatives in Sichuan province. We find that the quality and heterogeneity of presidents′ social network have significant positive effects on product innovation, technology innovation, management innovation and marketing innovation. Considering the endogeneity problem, we make use of the “control function approach” to test the robustness, and the results show that the hypothetical test results are robust. In the further study, we considered the moderating effect of internet application between the social network and the innovation of farmers′ cooperatives. The results showed that, the internal social network quality of the presidents makes a greater impact on management innovation and marketing innovation in internet-based farmers′ cooperatives than those who bring no internet.
       The contribution of this paper is reflected in the following three aspects. Firstly, the research conclusion of this paper is helpful for people to deeply understand the impact of social network on the innovation and transformation of new agricultural operators, and provides empirical evidence for the government to formulate relevant policies to promote the innovation of farmers′ cooperatives. Secondly, this paper divides the innovation behavior into product innovation, technology innovation, management innovation and marketing innovation, and examines the influence of the quality and heterogeneity of social network on these four innovation activities respectively, which is helpful to enrich the literature related to economic organizations. Finally, the existing research mainly focuses on enterprises. This paper extends the research object to farmers′ cooperatives, thus broadening the research perspective of innovation.
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    The effects of ambidextrous leadership and paradoxical leadership on performance
    Yin Kui, Zhi Qianchuang, Dai Xiangyang, Li Peikai, Qian Jing
    2022, 43(8): 165-173. 
    Abstract ( 405 )  
        Under the volatile, uncertainty, complex and ambiguous (VUCA) environment, organizations are facing paradoxical demands to achieve fast and steady growth. To achieve the above goals, organizational leaders play crucial roles in setting and leading the paradoxical goals. Earlier studies have mainly focused on one particular type of leadership in setting organizational goals (e.g., empowering leadership; authoritarian leadership) that may restrict the paradoxical organizational goals as they put more focus on one single aspect. Hence, leadership that can satisfy different even paradoxical organizational goals gained more research and practical attention. 
        To achieve the paradoxical demands, two newly developed leadership behaviors have gained much attention: ambidextrous leadership and paradoxical leadership. Ambidextrous leadership is defined as leaders who adjust their leadership behaviors to adopt two contradictory leadership behaviors based on the situations. Paradoxical leadership, however, is mostly studied in the Chinese context, which is rooted in the Yin-Yang philosophy. Paradoxical leadership is mostly shown as leaders taking two contradictory leadership behaviors to satisfy the paradoxical work goals. Although the root of ambidextrous and paradoxical leadership is different, both revealed that leaders should adopt their leadership behaviors even two contradictory leadership behaviors to satisfy the organizational competing goals. 
       Studies on ambidextrous and paradoxical leadership have consistently shown that both leadership behaviors can have positive relationships with innovation and task performance. However, there remains three main questions to be answered: first, research have shown different findings about the effect of ambidextrous and paradoxical leadership on task performance. For instance, studies on the relationship between ambidextrous leadership and task performance has ranged from negative to positive, and the relationship between paradoxical leadership and task performance has ranged from nonsignificant to significant. Second, since both ambidextrous and paradoxical leadership share similarities in their definition, understanding about which leadership style is more powerful in predicting employee performance is unknown. Third, it is also unknown about the role of leaders′ hierarchical level in affecting the effectiveness of ambidextrous and paradoxical leadership. For instance, prior studies have suggested that middle level managers′ paradoxical leadership are more likely to achieve effectiveness; and the effectiveness of ambidextrous leadership will also vary across different levels. Based on the above questions, we conducted our study with meta-analysis approach. 
       Different with the single-sample quantitative study, meta-analysis approach has several advantages. First, meta-analysis can resolve research dispute by integrating different research findings. With a large sample size, it can achieve more accurate estimation. Second, meta-analysis can also achieve sub-group analysis to show the different impact of ambidextrous and paradoxical leadership. Third, meta-analysis can also identify the conditional factors. As such, it can answer our third question about how leaders′ hierarchical level may affect their leadership effectiveness. 
        Before conducting meta-analysis, we firstly searched the database (i.e., CNKI, Web of Science, and ProQuest) on ambidextrous leadership and paradoxical leadership. We restricted the timeline to May, 2021. This led to a total of 249 papers. Second, we screened the literature and only included studies that meet our standards. For instance, we excluded conference paper and dissertation and excluded papers that did not report the correlations between leadership and performance outcomes. This led to 43 papers that satisfying all our requirements. Based on the 43 papers, we conducted our meta-analysis. Before coding the data, we trained all the coders about how to code the data to reduce misunderstandings and bias. According to the 43 papers, we got 50 samples with a total sample size of 13232. Applying R software, we found that: first, both ambidextrous leadership and paradoxical leadership had positive relationships with innovation and task performance. Second, subgroup comparison analysis results revealed the relationship between ambidextrous leadership and innovation performance was not significantly different from that between paradoxical leadership on innovation performance; and the relationship between paradoxical leadership and task performance was not significantly different from that between ambidextrous leadership and task performance. Third, subgroup analysis also showed that there was no moderating effect of leaders′ hierarchical level on the above relationships. 
        Our study has the following theoretical implications: First, through meta-analysis, it revealed the "real" effect of ambidextrous and paradoxical leadership on innovation and task performance, which could resolve the puzzle about the different impact of these two leaderships on the innovation and task performance outcomes. Second, through the comparative analysis between ambidextrous and paradoxical leadership and their outcomes, it could show the unique role of paradoxical leadership, which can offer further evidence on the studies about paradoxical leadership. Third, by focusing on the conditional factors in affecting the effectiveness of ambidextrous and paradoxical leadership, it offered insights for future studies to explore when and why these two leadership behaviors can have different impacts. Overall, our study contributed to the ambidextrous and paradoxical leadership studies by offering an integrated picture, which can also offer insights for future studies on these two leadership behaviors. 
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    Influencing mechanism of simultaneous ambidextrous leadership on radical innovation
    Ge Yuanqin, Li Shuwen, Luo Jinlian
    2022, 43(8): 174-182. 
    Abstract ( 155 )  
        At present, enterprises are facing the critical period of technological transformation in China. Innovation plays an increasingly prominent role in promoting and reshaping the scientific and technological revolution. As a latecomer to technological innovation, China has introduced a great number of advanced technologies for incremental innovation and has achieved rapid economic development over the last four decades. Though incremental innovation could help China narrow technological gap with developed countries, it can hardly make breakthrough, as is witnessed as a matter of fact that Chinese enterprises often encounter the curb in terms of chip supply and core patents by foreign counterparts. In this sense, the development of Chinese enterprises and even national economic stability will continue to be restrained if Chinese enterprises cannot make radical innovation. Thus, it is particularly important how to enhance radical innovation. However, simultaneous ambidextrous leadership provides a new perspective to analyze the impact of leadership behavior on radical innovation.
        This paper collected data from R&D and production department managers and subordinates from large manufacturers in Shandong, Shanghai and Beijing, China. With the help of the head of the human resources department, we randomly selected more than 800 employees and assigned each of them with a number. Questionnaires were coded before being distributed. We provided each of the participants with a questionnaire, and a cover letter describing the procedures of the research and the voluntary nature of their participation. The participants were assured that their ratings would be confidential and used for academic purposes only. The completed questionnaires would be collected on the spot. To alleviate the concern of common method bias, we collected data in two phases at two weeks interval. In the first wave, the participants were asked about gender, education, simultaneous ambidextrous leadership, sense-making and pay increase. In the second wave, the participants were asked about radical innovation, fault-tolerant dynamics and decision-making participation. After collecting data, utilizing reliability and validity analysis, descriptive statistical analysis, hierarchical regression analysis, bootstrapping and simple effect analysis, taking sense-making and pay increase as mediation, and fault-tolerant dynamics and decision-making participation as moderation, this paper conducts an empirical study from the perspective of resource conversion. 
        The results indicate that: (1) simultaneous ambidextrous leadership has a significantly positive influence on radical innovation; (2) decision-making participation and fault-tolerant dynamics mediate the influence of simultaneous ambidextrous leadership on radical innovation; (3) the interaction of organizational sense-making and pay increase moderates the indirect relationship between simultaneous ambidextrous leadership and radical behavior, high sense-making and high pay increase can maximize the effect of simultaneous ambidextrous leadership. 
        This study contributes to the literature in three ways: first, this paper makes a breakthrough to the traditional framework of ambidextrous leadership, brings the space-time dimension into the research of leadership, and reveals the impact of ambidextrous leadership on radical innovation in different space and at the same time. Second, this paper reveals the influence path of simultaneous ambidextrous leadership on radical innovation, introduces fault-tolerant atmosphere and decision-making participation into the relationship between simultaneous ambidextrous leadership and radical innovation, and provides a clear reference path for simultaneous ambidextrous leader to obtain core competitive advantage from the perspective of two ability relationships. Third, from the joint perspective of sense-making and reward increasing, this paper reveals the boundary conditions of simultaneous ambidextrous leadership influencing radical innovation, makes up for this deficiency and lays a foundation for the follow-up empirical study of sense-making, and provides an important reference for enhancing or weakening the impact of simultaneous ambidextrous leadership.
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    The transmission of S&T talent evaluation policies and individual irrational behavior——An analysis based on the behavioral public policy
    Zhang Xichun, Zhu Shaotang, Li Shenghui
    2022, 43(8): 183-191. 
    Abstract ( 139 )  
       The S&T talent evaluation policy is an important part of the science and technology talent policy. Focusing on the evaluation of S&T talents, governments have successively issued a series of policy documents, which have pointed out the direction and laid the foundation for improving the evaluation system of S&T talents in the new era. However, there are still some significant problems in the science and technology evaluation system. Based on literature review, emotional cognition and behavior guidance of S&T talents are the key variables. From the perspective of the behavioral public policy analysis framework, this paper tries to carry out the shortcomings of the scientific and technological talent evaluation policy, from the policy objectives of scientific research burden reduction, evaluation guidance and talent management. Furthermore, a research framework for explaining the irrational behavior of scientific and technological talents is constructed.
        In terms of emotions, this paper analyzes the transaction burden, talent evaluation, academic environment, and sorts out the internal factors that emotions induce irrational behaviors of scientific and technological talents. In terms of behavior, this paper collects the central level scientific and technological talent evaluation policies from 2007 to 2021, 391 policy samples, and used content analysis and word frequency statistics for research. Based on the framework of tools, narrative, and feedback, we focus on the analysis of scientific research burden reduction, evaluation guidance, and talent management.
       It is found that: (1) The emotional cognition of scientific and technological talents stems from the burden of formalism, the preference of talent evaluation, and the environment of either promotion or departure. The transactional burden of non-technology issues accounted for most of the scientific research time and energy of scientific and technological talents. Under the pressure of talent evaluation and the pressing environment, the negative emotions of scientific and technological talents gradually accumulated and broke out to varying degrees. (2) The S&T talent evaluation policy toolbox is dominated by whip-type tools, supplemented by boosting tools to give full play to the behavioral guidance of scientific and technological talents. (3) The narrative framework of the evaluation policy for S&T talents has shown stages changes, in which the role of S&T talents has undergone the transformation of "heroes", "bad guys" and "micro-bad guys and macro-victims". (4) The S&T talent evaluation policy realizes the behavior guidance and attitude shaping of micro-individuals through carrot-type tools and evangelism-type tools. (5) The deficiencies of policy tools, the fault of narrative effect and the deviation of individual perception constitute the policy source of negative emotion cognition and irrational behavior of scientific and technological talents.
        The theoretical significance of this paper is to use the framework of behavioral public policy analysis to explore scientific and technological policy research ideas in the Chinese context, enriching the research perspective on the optimization of scientific and technological innovation systems and mechanisms. Its marginal contributions are as follows: (1) It systematically integrates the academic research framework on behavioral public policy, and analyzes the evaluation policy of scientific and technological talents based on this. (2) It analyzes the impact of scientific and technological innovation policies on micro-individuals from the perspective of the evaluation policy of scientific and technological talents. (3) The S&T talents, a group of "high-tech, high-quality, and high-pressure", are analyzed from the perspective of behavioral science, which is different from the basic assumptions of the public in traditional behavioral public policies.
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    Research on the impact of diversity & inclusion human resource practice on employee innovative behavior——The effect of thriving work and shared leadership
    Zhao Fuqiang, Chen Yun, Xiang Hudie
    2022, 43(8): 192-200. 
    Abstract ( 330 )  
       With the development of economic globalization, the product life cycle is becoming shorter and shorter, the development of science and technology is changing with each passing day, the consumer demand is becoming more and more diverse, the cross-border integration is in full swing, and the dynamic competition is becoming more and more complex, an organizations can only survive through continuous innovation, and organizational innovation comes from the employees′ innovative behavior. With the coordinated development of the domestic five modernizations, the cross regional flow of labor force is becoming more and more frequent, and the composition of organizational labor force is becoming more and more diverse. The diversity of the labor force brings the organization with not only the heterogeneous knowledge and the stimulating innovation opportunities, but also many challenges to the diversified management and the integration of conflicts. While its diverse heterogeneous knowledge stimulates organizational innovation, it also brings integration conflicts and management challenges to the organization. Therefore, how to stimulate employees′ innovative behavior has become a hot topic of common concern in both academia and industry.
        Under the background of the diversity, organizations need to understand, respect and appreciate the diversity and unique contributions of employees, treat them fairly, encourage them to participate in organizational management, help them adapt to the organization, tolerate unintentional errors and tolerate different views, so as to make the organization get better development. Therefore, under the background of multiple integration, the human resources practice to seek common and use difference has been widely concerned by the academia and the industry. Diversity management emerges as the times require. It recognizes and respects the individual differences, recruits and selects the diverse labor force, strengthens its organizational identity, so as to reconstruct positive employment relationship, resolve multiple conflicts, stimulate employees′ potential and enhance competitive advantage. However, the diversity management does not really solve the problem of multiple conflicts, so learning from inclusive education and social inclusion research, inclusive management that includes, accepts, appreciates and respects the diversity of the employees has become a useful way to resolve conflicts. The diversity management focuses on individual differences and member composition, that is, managing diversity, while the inclusive management focuses on utilizing and exerting individual differences, that is, managing for diversity. As we all know, individuals have dual needs of group sense of identification and value uniqueness, and the diversified management that emphasizes identification of belonging and inclusive management that displays unique value need to be organically integrated, while the existing relevant research is rare. 
       As we all know, the effective work behavior of employees comes from their active working state, and the thriving work is the active working state in which employees experience vitality and learning at the same time. According to the society embedded model of thriving work, the characteristics of department situation and work resource influence the individual thriving work, diversity & inclusion human resource practice provides diversified employees with opportunities to participate in decision-making, training for career development and providing resources to use, so as to promote their thriving work and effectively promote their innovative thinking and behavior and performance. Therefore, thriving work may play a bridge role between diversity & inclusion human resource practice and employee innovation behavior. It is found that the matching of human resource practice with the leadership style can further play its role. The shared leadership is that members can set goals, make decisions, allocate resources, they can identify, analyze and diagnose problems, they can support, listen and encourage each other, and they can suggest, learn and guide each other, so it can induce team members′ innovative behavior through matching and collaboration with human resource practice.
        Therefore, the connotations, black box mechanism and boundary condition of the diversity & inclusion human resource practice are becoming an urgent problem being resolved in academia and industry in order to make the diversified employee get on well with each other, take full advantage of their talent and obtain the competitive advantage through their innovation. Based on above, according to the conservation of resource theory, the paper defined the connotation of diversity & inclusion human resource practice, illustrated the mechanism of it influencing the employee innovative behavior through the thriving work, and investigated the moderation of the shared leadership on it. 
       With the multi time point tracking and stepwise multiple regression, the positive research on 461 effective samples from 37 enterprises revealed the follow. Firstly, this study proposes that DI-HRP, that is, Diversity & Inclusion Human Resource Practice, is a series of independent, interrelated and complementary activities that an organization adopts to achieve strategic goals, improve organizational performance and gain competitive advantages. DI-HRP respects employee differences, recognizes their values, contains their errors, develops their potential, encourages their participation and promotes their collaboration in order to improve employees′ multiple inclusion ability, stimulate their multiple inclusion motivation and provide their multiple inclusion opportunities. Secondly, DI-HRP positively affects the employee innovation behavior. Thirdly, the thriving work mediates the impact of DI-HRP on the employee innovative behavior. Finally, the shared leadership moderates not only the direct impact of the diversity & inclusion human resource practice on the thriving work and the employee innovative behavior, but also the indirect effect of the diversity & inclusion human resource practice on the employee innovative behavior through the mediation of the thriving work.
        In summary, the main theoretical contributions of this study are as follows. Firstly, this study proposed and defined the connotation of DI-HRP, designed and validates its measurement tools, thus enriched the research on the guiding human resource practice and measurement tools under Chinese scenarios. Secondly, this study organically combined DI-HRP, thriving work, shared leadership and employee innovation behavior, thus enriched the research on the existing variables and their mutual mechanism. Finally, this study examined the influence mechanism of DI-HRP on employees′ innovative behavior and the boundary conditions of shared leadership through thriving work, revealed the interaction between human resource practice and leadership style, thus deepened and expanded the application of conservation of resource theory.
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    Research on risk management and control of project funds in the process of aerospace project development
    Fan Zhifang, Kuangyang Hongyi
    2022, 43(8): 201-208. 
    Abstract ( 137 )  
        Aerospace R&D projects are usually complex system projects, characterized by long development cycles, a diverse range of participating research units, many uncertainties, difficulty in adjusting funding budgets, and high unpredictability of development and funding control etc. The paper, based on the problems of funding management of aerospace development projects at home and abroad and the limitations of related research, takes the monitoring and disposal of funding risks in the process of aerospace project development as the object of the study and explores the establishment of a whole-process funding risk assessment model and risk assessment system, as well as effective methods for identification and assessment of funding risk factors and management and control measures. 
       Firstly, based on the analysis of the characteristics of aerospace development projects and risk management and control, five funding risk factors in the process of development of aerospace projects, i.e. technical design, development and production, management decisions, human resources and development environment, are identified and analyzed in detail, and a whole-process funding risk assessment system is established for aerospace development projects. Then, based on the funding management and control process analysis method, a funding risk management and control model consisting of five modules, including funding risk design, funding risk identification, funding risk analysis, funding risk measure, and funding risk monitoring, is proposed. The five modules are relatively independent and intrinsically related. 
        Secondly, with the goal of ensuring the lowest cost of funding risk control under the conditions of successful development of aerospace projects, the paper proposes and details the model-based funding risk avoidance, transfer, mitigation, and utilization methods and other management and control methods in the process of development of aerospace projects, and discusses in detail the specific funding risk management and control measures such as systematic management and control, standardized management and control, defense planning, human motivation and early warning system, and analyzes in detail the correlation among risk factors, risk identification and disposal methods, and management and control measures. The paper shows that these measures have the strongest correlation with the risk identification module of the risk model. 
       Finally, the project characteristics, main management and control measures and management and control results are introduced based on the case of funding management and control of Chang′e-4 Mission′s Queqiao relay satellite project, which verifies the correctness and effectiveness of the funding risk management and control measures proposed in this paper. The paper concludes that risk design is a key part of good funding risk management and control, and the basis for the correct implementation of the five types of management and control measures is accurate risk identification. 
       The research results of this paper have been applied in specific projects and have led to two important insights: first, the management and control of aerospace project funding should be placed in front and conducted earlier in the implementation process; second, in systematic management, the iterative and circular analysis of risk design should be emphasized. The research results of the paper and the verification of their use in real cases fully demonstrate that the results of the paper are of practical significance and engineering value to the effective management of future projects, especially aerospace projects.
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