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    20 June 2021, Volume 42 Issue 6 Previous Issue    Next Issue

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    Venture capital and internationalization of enterprise R&D——A study of China′s GEM listed companies
    Li Mengya, Yan Taihua, Hao Chen
    2021, 42(6): 1-8. 
    Abstract ( 416 )  
        With the acceleration of global economic development competition and the continuous advancement of corporate internationalization, more and more enterprises are trying and gradually carrying out overseas R&D investment activities. This is not only a favorable choice in accordance with the law of economic development, but also an important way for enterprises to gain lasting competitive advantage. In the context of the intensification of internationalization, enterprises in emerging economies have taken R&D internationalization activities as an important strategy for their development in order to follow the global industrial development trend, broaden the channels of knowledge acquisition and enhance their independent innovation ability. Compared with mature enterprises, entrepreneurial enterprises lack the ownership advantage, internal advantage and location advantage needed to enter the international market due to their own lack of resources and ability as well as fewer social network connections. Therefore, they are faced with the dual dilemma of disadvantage of newcomers and disadvantage of outsiders. As an important external strategic investor of the enterprise, venture capital plays a key role in supporting and guiding the growth and development of the entrepreneurial enterprise. Venture capital not only provides to the enterprise development funds through equity investment, ease the financing bottlenecks and constraints, more importantly, with its professional knowledge accumulation and long-term investment experience provides value-added services such as listing support, management participation, strategic consulting, subsequent financing, also supervision and control such as incentive constraints, risk prevention, internal governance and decision-making. However, as an important external investor, few scholars have paid attention to how the venture capital affects enterprise R&D internationalization. However, as highly involved in a startup, can venture capital support promote entrepreneurial enterprises to implement R&D internationalization strategies? What are the differences in different dimensions of R&D internationalization? What characteristics of venture capital institutions will influence the R&D internationalization of entrepreneurial enterprises? Based on this, this paper firstly analyzes the internal mechanism of venture capital affecting the enterprise R&D internationalization and the impact of venture capital institution characteristics on this relationship. Then we use the panel data of 153 companies listed on the China′s GEM in 2009-2016, through the subdivision of R&D internationalization depth and R&D internationalization breadth, using Tobit regression, Logit regression and other empirical methods to examine the impact of venture capital on the enterprise R&D internationalization strategy, and further analyze the differences in the impact of venture capital institutions with different characteristics on the R&D internationalization strategy.The research finds that:(1) Venture capital support can not only strengthen the depth of R&D internationalization, but also expand the breadth of R&D internationalization. Venture capital support has a positive impact on the implementation of R&D internationalization strategy;(2) The impact of venture capital on the R&D internationalization has significant state dependence on venture capital equity background, reputation background, investment horizon, whether to implement a joint investment strategy, and whether to participate in corporate governance. When intervened by the venture capital with private background and high reputation, the venture capital investment period is long, multiple venture capital institutions joint investment and be able to participate in corporate governance, the depth and breadth of enterprise R&D internationalization are greater, in other words, it plays a more significant role in promoting the enterprise R&D internationalization. There may be two endogenous problems in this study. One is the problem of sample selection bias and the other is the endogenous problem of missing variables related to venture capital intervention and enterprise R&D internationalization. In order to avoid the influence of the above problems on the research results, this paper further uses the processing effect model to deal with the above problems. At the same time, in order to get more stable results, this paper further uses binary variables to measure the R&D internationalization behavior of enterprises. In addition, we also use the proportion of venture capital shareholding and various background venture capital shareholdings as alternative measure of the support of venture capital and the background characteristics of venture capital, and use the investment experience of the venture capital institution with the largest shareholding ratio, namely the number of enterprises that venture capital accumulatively invested in the period of before entering the enterprise as an alternative measure of the reputation of the venture capital, and use the number of years in which the venture capital institution with the largest shareholding ratio enters the enterprise as an alternative measure of the investment term of venture capital. After considering the endogenous problem caused by sample selection bias and missing variables and using the substitution index of related variables for robustness test, the conclusion of this paper is still robust.Compared with the existing research, this paper hopes to make some marginal contribution in the following aspects: First, different from previous research, this paper introduces a new influencing factor of R&D internationalization--venture capital, which provides a new perspective for the research on the R&D internationalization of enterprise, and enriches the existing literature on the factors influencing the R&D internationalization of enterprise. Secondly, to overcome the shortcomings of the previous research on the use of dual variables in the enterprises R&D internationalization, this paper further subdivides the R&D internationalization into the depth of R&D internationalization and the breadth of R&D internationalization, and deeply analyzes the impact of venture capital and different background characteristics and investment contracts characteristics of venture capital on different dimensions of enterprise R&D internationalization behavior. Thirdly, there are few empirical studies on the relationship between venture capital and enterprise R&D internationalization strategy choices. In order to obtain more robust estimation results, this paper also uses a variety of methods such as processing effect model and variable substitution, then the relationship between venture capital and enterprise R&D internationalization is tested more systematically and scientifically, enhancing the reliability of research results. The research results of this paper can not only provide practical guidance for Chinese enterprises to make full use of venture capital as an important external investor to implement R&D internationalization strategy, but also provide useful policy implications for the country with further development of venture capital industry and implementation of enterprise R&D internationalization strategy.
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    The impact of government subsidies and tax preferences on patent quality and its threshold effect——An empirical analysis based on the listed companies in the new energy automobile industry
    Liu Lanjian, Zhang Meng, Huang Tianhang
    2021, 42(6): 9-16. 
    Abstract ( 442 )  
       As one of China′s strategic emerging industries, the level of technological innovation of new energy vehicles determines whether China can occupy a favorable position in the international market. In order to encourage new energy vehicle companies to overcome technical difficulties, the Chinese government uses policy tools such as government subsidies and tax incentives to support corporate innovation. Among them, government subsidies, as unpaid government expenditure items, have high fund specificity. Enterprises that receive subsidies will list these funds as R&D investment, so as to reserve funds for technological innovation activities. The tax incentives are the after-tax income obtained when a company′s products are tested by the market, which can not only offset part of the research costs, but also alleviate the risks of corporate innovation to a certain extent. These policies respectively represent the "pre-incentive" and "post-incentive" of the enterprise innovation process, and the combination of them can realize the complementary advantages of policies.
        Many studies have analyzed the incentive effect of each policy on enterprise output. In reality, the government often uses a variety of policy tools to support the technological innovation of new energy vehicles. If there is a lack of effective policy linkage and combination allocation between different policies, resulting in policy tools "working alone", they will not be fully utilized and financial funds will be wasted. However, at present, there is a lack of theoretical and empirical research on the effects of different policy combinations, which makes it difficult to provide more accurate theoretical support for policy making.
        Based on the above analysis, this paper selects the data of listed companies in China′s new energy vehicle industry from 2010 to 2018 as the research object. On the one hand, this paper studies the effects of government subsidies and tax incentives on patent quality. On the other hand, from the perspective of policy collocation, this paper also constructs a panel threshold model to further analyze the threshold effect on patent quality when the two policies are used in combination. The research yielded three main findings. First, both policies have a positive incentive effect on patent quality, though the effect of government subsidies is stronger. Second, when used in combination, subsidies need to be at a medium level to maximize the effect of tax incentives. Third, high-level tax incentives are most conducive to promoting the effect of government subsidies. Only by identifying and making full use of the thresholds can the optimal combination of the two policy tools be realized.
        Therefore, the government should make full use of the direct advantages of government subsidies and the indirect advantages of tax incentives to achieve optimal coordination of policies. When different policies are used in combination, it is still necessary to pay attention to the appropriate policy inclination. Empirical evidence shows that excessive government subsidies will weaken the effectiveness of tax incentives. Therefore, it is necessary to grasp the appropriateness of new energy vehicle enterprises′ subsidies. At the same time, the government should further increase the scope of tax incentives for new energy vehicle companies, and use the supplementary function of tax incentives in stimulating innovation, so as to achieve complementary advantages of different policies.
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    Industry asset allocation made with the Black-Litterman Model——A study in combination with the investor sentiment index
    Pang Jie
    2021, 42(6): 17-24. 
    Abstract ( 403 )  
        The Black-Litterman(B-L) model can combine traditional finance and behavioral finance to quantify investors′ behavioral decisions. Based on the B-L model, this paper studies the strategy of industrial asset allocation in China′s stock market, obtaining quantitative views of investors from historical data through the GARCH family model, building investor confidence level through investor sentiment index, to improve the traditional strategy of industry asset allocation.
        The main features of this paper are as follows: First, the GARCH model family is used to quantify the view vector of the investor′s view to allocate the industry assets, and supplement the reference literature that used only one parameter GARCH model to characterize the return rate of various industry assets; Secondly, this paper combines the investor sentiment index and quantifies the investor confidence level by means of the distribution function in probability science, and provides a new literature supplement to the setting method of confidence level in the BL model. And we discussed the cumulative effect of the industry′s asset allocation, when the investor′s emotional level is higher or lower than the actual market sentiment level. Third, there is an inverse relationship between the investor′s sentiment level and the future market′s medium and long-term profit rate, when the investor′s emotional overreaction. This paper simulates the effect of this behavioral finance theory in actual asset allocation and proposes an asset allocation strategy, which provides a new literature supplement for the relevant empirical research of behavioral finance.
        This paper takes the data of the CSI 300 industry index from January 2006 to December 2017 as sample data. During the period, China′s stock market experienced two baptisms of bull market and bear market, and the sample is more representative. And the investor sentiment index uses the investor sentiment index ISI from CSMAR database.
        The research is based on the B-L model to empirically study the optimal allocation of industry assets. The most important parameters in the B-L model are the investor′s opinion vector and the investor′s confidence level. These two parameters are equivalent to the "strength" and "angle" of the investor′s view about asset allocation. In the research, the GARCH model family was used to fit the return on assets of 10 industries and to forecast the investor′s view vector of return on the industry assets. Meanwhile, this paper uses the probability theory method to "map" the investor sentiment index to the investor′s confidence level, so that the investor′s confidence level could change with the current market situation.
         The results show that the asset allocation performance of the B-L model is better than that of the MV model and the actual market weight. At the same time, as the level of investor confidence increase, the cumulative rate of return continues to increase and the risk is increasing slightly. As the level of investor confidence has declined, the cumulative rate of return has remained essentially the same or even increased slightly. In addition, when the investor′s emotional level is overreacted, the emotional level is used as a reverse indicator in the B-L model to get the purpose of avoiding risk and optimizing asset allocation in the medium and long term.
        The research uses the B-L model combined with the investor sentiment index to study the allocation of industry assets empirically, and draws the following suggestions:
       First, using the B-L model can optimize asset allocation, which means that the B-L model has good application value in actual asset allocation.
       Second, investors who use the BL model for asset allocation can set their investor confidence level far below the actual confidence level of the market if they are not convinced of their own opinions. At least they can guarantee the bottom line and obtain normal returns as the market; if investors are very convinced of their views, the level of investor confidence can be set much higher than the actual level of confidence in the market. However, there are certain risks. If the judgment is wrong, it will face losses; if the investors judge accurately, they can obtain the excess returns.
        Third, when the market sentiment is in the normal level, asset allocation can be carried out according to the normal asset allocation strategy. When the market sentiment is overreacted(too high or too pessimistic), the market sentiment indicator can be used as a reverse indicator for asset allocation. 
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    Entrepreneurial intention of scientific personnel: Its category and influencing factors
    Xiao Weiqun, Zhao Yandong
    2021, 42(6): 25-31. 
    Abstract ( 275 )  
    To increase the entrepreneurial intention of scientific personnel is a key step to promote mass entrepreneurship and innovation. Based on the data of a large-scale social survey on 9503 randomly sampled Beijing scientific personnel, two types of entrepreneurship intentions were distinguished, namely the innovative one and the ordinary one. Further statistical analysis were conducted to analyze factors influencing the entrepreneurial intention, including factors at individual level, organizational level and social level. The results indicated that innovative and ordinary entrepreneurship intentions have different characteristics. Scientific personnel with better scientific human capital and higher capacity were more likely to participate in innovative entrepreneurship, whilst those with lower human capital and capacity would have higher intention of ordinary entrepreneurship. It is suggested that different types of policy support should be given to different types of entrepreneurs accordingly, with more focus on promoting and encouraging innovative entrepreneurship.
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    An analysis of the microcosmic dynamic mechanism of general-purpose information technologies′ innovation in the age of intelligence: A longitudinal cases study of the information technological evolution of WALMART
    Zhang Hui, Chen Hailong, Liu Peng
    2021, 42(6): 32-40. 
    Abstract ( 475 )  
       As the advanced General-Purpose Technologies(GPTs) in the age of intelligence, the innovation of GPTs facilitates the development of the society and economy crucially. However, as Chinese information companies are repeatedly subject to "battle neck" technologies of the ones outside the country, especially the decisive and basic kernel techniques, corporate innovation and national economic development are severely constrained. 
        The existing researches of GPTs summaries that the dynamic mechanism of the GPTs′ innovation is the complementarities, which is without the analysis on the micro-level mechanism. The existing papers in the field of the innovations of GPTs in the classical economic perspective always consider the GPTs or the innovation of them as a scalar for the economic development. In contrast, the ones in the field of the innovations of GPTs in the classical technology management perspective always consider the GPTs or the innovation of them as one kind of tools or input factors. Which the above two fields ignored are the reverse promotion from the promotion process during which the innovation and evolution of information technology and its systems have promoted the innovations of the other technologies. 
        The only exception is the field of evolutionary economics. By distinguishing characteristics of GPTs, Bekar et al.(2017) consider multipurpose and single-purpose technologies according to their micro-technological characteristics. In addition, as the paper has stated, one technology, which could be as GPTs, requires recognizing their evolutionary nature, and accepting possible uncertainties concerning marginal cases. It is obvious that the dynamics of the innovations of the information general-purpose technologies have the evolutionary nature. What they have ignored is the procedure of the reverse parts of the microcosmic dynamic mechanism and the technological architecture of the GPTs. 
        In order to reveal the microcosmic dynamics mechanism, in especial the reverse parts of it, this paper conducts a longitudinal cases study about the long-term evolutionary period. During the three technological evolution period, this paper takes the investigation on the use of a series of the information technologies by Wal-Mart on the perspectives of GPTs theory and the technological architecture evolution theory. The technological evolution period includes the computer phase, the internet phase and the data science phase.
        By paying attention to the co-constructional processes between the implementation structure of the technological architecture from technological providers′ side and the functional structure of the technological demands of the technological users′ side, this paper purposes that the microcosmic dynamic mechanism of information technologies′ innovations includes two kinds of complementarities: the Exo-complementarity and the Endo-complementarity. 
        The Exo-complementarity forms the atomistic or holistic reverse promotion mechanism of the information technologies′ innovations, which base on the co-construction processes of the two structures of the technical providers and the technical users. 
         The atomistic reverse promotion mechanism has four forms, including module innovation, module refactoring, structure optimization and system reconfiguration. First, the module innovational mechanism discoveries the reverse promotion procedure in which the process of the technology user′s demand function structure extended from the technical import of GPTs. In addition, one or some of the GPTs must add to their technology module to achieve the effective module creation and technology expansion for the extension of the former. The second reverse promotion mechanism form is the module refactoring mechanism. During which process, under the premise of ensuring that the properties of the required functional structure module are unchanged, the internal structure of the module of one or some of the GPTs are reversely promoted to redesign and improve the operating efficiency of the implementation module. The structure optimization mechanism reveals the reverse promotion from the addition and deletion of the required functional structures. During the procedure, the addition and deletion of non-architectural technical components in the technological system of the GPTs caused by the addition and deletion of the required functional structure increases the overall efficiency of the technological system. The last mechanism is the system reconfiguration, which has the most innovative for the GPTs. In the procedure of mechanism, under the premise of ensuring the functional structure of the technical requirements, the technological subsystems in the implementation structure of the GPTs system are reversely promoted to carry out the innovation of the overall architecture redesign, thereby improving the efficiency of the technological system. 
        In contrast to the atomistic mechanisms, the holistic reverse promotion mechanism of the information technologies′ innovations fails to consider the reverse promotion mechanism in some one technological evolution phase, but the transitional phase between some two technological evolution phases. In the transitional phase, the technical users need to balance the requirements for the functional structural integrity and the minimization of enterprise costs, which two processes should adopt the middleware technology of the non-homologous technologies of the different implementation structures of the GPTs system. Therefore, it is necessary for technology users to maintain a moderate search behavior for potential homogenous backward technologies of the forward-looking general-purpose technologies adopted by the technology users. In addition, the co-construction process of the two parties of the GPTs system transforms the external innovation drivers into the intrinsic micro-dynamics of the innovation of the GPTs, and finally forms a holistic mechanism for reverse promoting the innovation of the GPTs system. 
       The endo-complementarity forms the heuristic reverse promotion mechanism of the innovations of the forward technologies and the backtracked reverse promotion mechanism of the innovations of the backward technologies, which base on the co-construction processes of the subsystem of the implementation structures of the technical providers of the same technological architecture. 
        The heuristic reverse promotion mechanism of the innovations of the forward GPTs defines the procedure in which the processes of the forward GPTs promoting the innovations of the backward ones reversely promote the innovations of the forward ones. The backward GPTs make a certain degree of structural decomposition for the forward technology, and based on its own architectural model innovative design idea(relative to the forward technology), re-discover the emerging technology functions of the forward technology, and thus derive new technological field of the forward GPTs. 
         The backtracked reverse promotion mechanism of the innovations of the backward technologies reveals the procedure in which the forward the processes of the backward GPTs promoting the innovations of the forward ones reversely promote the innovations of the backward ones. The innovation of the implementation structure of the forward GPTs will be directly transmitted to the backward ones, thereby reconstructing or optimizing the implementation structure of the backward technologies or sub-technologies; immediately following the original technical structure logic is associated, so that the backward technology must take the innovations. Which constructs the iterative improvement response of technological implementation, or targeted adjustment, thus it achieves the technological innovation of backward technologies themselves.
        The study will offer some implications for the R&D strategy of industrial organizations and the industrial policies making. 
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    Internet development and technological innovation: A study from the perspective of patent production, update and reference
    Yu Yongze, Liu Fengjuan, Zhuang Haitao
    2021, 42(6): 41-48. 
    Abstract ( 293 )  
        Under the background of national innovation-driven strategy and Internet as the new driving force of economic development, this paper links technological innovation with Internet development, and tries to analyze the impact of rapid development of Internet technology on technological innovation through logical analysis and empirical verification. Firstly, this paper makes a theoretical analysis of the impact mechanism of Internet development on technological innovation:(1) under the Internet environment, the information flow among enterprises, consumers, other scientific research institutions and financial institutions is frequent and sufficient, which can effectively reduce the uncertainty of technological innovation.(2) the popularity of Internet technology enables consumers to obtain information advantages, and enterprises gradually lose their dominant position in transaction negotiation, forcing them to compete in product development and services, and intensifying competition among enterprises.(3) financial models represented by P2P lending platforms, crowdfunding financing platforms and big data financing emerged at the right moment, increasing financing channels for enterprises and effectively alleviating external financing constraints.(4) business model innovation transforms the traditional commodity-oriented logic into a service-oriented logic. Based on the information provided by customers, enterprises can dig deeply into customer needs, expose product defects and implement the development of new technologies. Customer needs are different and constantly changing. The high degree of interaction between enterprises and customers maintains the market perception and promotes diversified and personalized product innovation.(5) the information platform provided by the Internet facilitates innovation subjects to purchase domestic technologies or introduce technologies. Technology spillover enables enterprises to directly access to "high technology" and obtain mature innovation results, which to a large extent saves enterprises capital and human resources, effectively reduces the research and development cycle, and promotes technological innovation. Two hypotheses are proposed based on above analyzes: H1: the Internet promotes technological innovation by accelerating the depreciation of patents; H2: Internet technology promotes technological innovation by promoting domestic and foreign references of patents.
        In the empirical analysis part, based on the relevant data of Internet related employees, Internet penetration rate, number of mobile Internet users and Internet related output, this paper uses principal component analysis to construct the Internet development index, which is used as the proxy variable of Internet development, and uses the panel data of 230 prefecture level cities in China from 2007 to 2014 to conduct empirical research. Considering the causal relationship between the development of Internet and technological innovation, the development of Internet promotes technological innovation, and the continuous progress of science and technology provides technical support for the development of Internet. Therefore, the interaction between the fixed telephone number per 100 people and the telecom investment in 1984 is taken as the instrumental variable of the urban Internet development index. The patent data used in this paper mainly have four aspects. The first is the effective patent variables including effective patent increment, effective patent stock and total effective patent). The second aspect is the invention patent variables(the number of invention patent applications and annual invention authorized patents) and the city innovation index. The third is invalidation patent, which includes invalidation patent increment, invalidation patent stock and invalidation patent quantity. The fourth is patent influence, which includes three dimensions: domestic cited, foreign cited and total cited. The empirical analysis is conducted in two aspects. The first part is the overall impact of Internet development on technological innovation, including the impact of Internet development on effective patents, invention patents and urban innovation index. The second part examines the theoretical mechanism of the influence of Internet development on technological innovation, including the impact of Internet on the renewal of innovative knowledge and the spillover of technological innovation.
         The empirical results show that:(1) internet development index has a significant positive effect on the increase of effective patent increment, effective patent stock and total effective patent. The development of Internet promotes the output of patents and effectively promotes urban innovation activities;(2) the development of Internet has significantly increased the number of invalid patents, the stock of invalid patents and the total number of invalid patents, that is, the development of Internet has significantly promoted the speed of patent invalidation.(3) the development of Internet has a significant positive effect on both domestic and foreign patent citations and the total number of citations. From the domestic point of view, the Internet as a medium makes the use of foreign patent resources by innovation subjects increase, and enterprises can carry out "secondary innovation" by using "ready-made" achievements, thus reducing the R & D investment and R & D cycle of enterprises. For foreign citation, Chinese patent cited by foreign countries intensifies competition. In order to seek a larger market and profit space, domestic enterprises are forced to strengthen innovation activities.
        The conclusion of this paper not only provides reference value for the innovation-driven strategy that China is committed to implement, but also provides practical significance for the continuous promotion of "Internet +" action plan. According to the research conclusion and the actual situation, this paper puts forward three policy suggestions on how to accelerate the construction of Internet infrastructure, how to guarantee the reasonable competition of Internet platforms and how to promote the spillover of Internet to technological innovation:(1) To further promote the "broadband China" strategy and widely promote the application and popularization of 5G and a series of new information technologies, network service providers should improve network equipment, increase access rate and reduce charges, so as to reduce the cost of Internet access for enterprises and residents and improve the utilization rate of the network.(2) It is necessary to break the mechanism barriers of traditional Internet enterprises and other enterprises, build the Internet into a big platform for enterprises to use, and promote the mutual integration and mutual promotion of Internet enterprises and other industries for common development. The government, enterprises and individuals should do the necessary protection, maintain network security, in order to ensure the healthy competition between enterprises;(3) We should make good use of the characteristics and attributes of Internet Interconnection, build an all-round and multi angle innovation network, and break through innovation barriers at home and abroad to promote innovation spillover.
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    When to license? A research on the firms′ decision-making on the timing of patent licensing under different innovation size
    Ma Rongkang, Jin He, Zhu Shanshan, Liu Fengchao
    2021, 42(6): 49-57. 
    Abstract ( 213 )  
        In the era of global division of labor and open innovation, patent licensing has become an important way for enterprises to profit from innovation in the era of open innovation, but it is still an underexplored problem that when to license patents is most beneficial to enterprises. Scholars represented by Schumpeter believe that the size of a company is an important factor affecting its innovation behavior. As an important activity in the commercialization of innovations, patent licensing is also affected by the size of the enterprise. However, the academic community has seldom paid attention to the decision-making of patent licensing time for enterprises with different sizes.
        According to the legalization process of patents, this paper divides the timing of patent licensing into three time points: licensing between application date and disclosure date, licensing between disclosure date and grant date, and licensing after grant date. In the context of China′s patent system, we establish a theoretical model of decision-making on the timing of patent licensing, and to reveal the relationships between firm innovation size and decisions on the three licensing time points.
        We argue that firms with different innovation size have different R&D resources and innovation foundations, which will lead to differences in the initial search costs for patent licenses faced by firms. As the firm innovation size increases, the initial search cost(F) in technology licensing will continue to decline. At the same time, the difference in innovation size will also lead to differences in the possibility of firms being imitated and infringed after the patent is published. As the firm innovation size increases, the degree of difficulty in imitation(R) of technology is also increasing. Therefore, our theoretical model proves that the firm innovation size mainly affects the initial search cost(F) of patent license and the difficulty of imitation of technology(R), which in turn affects the firm′s patent license time decision. Finally, the theoretical model predicts that first, an increase in the firm innovation size will cause an increase in the probability of licensing between application date and disclosure date. Second, an increase in the firm innovation size will cause first an increase and then a decrease in the probability of licensing between disclosure date and grant date, which means that there is an inverted-U relationship between firm innovation size and the probability of licensing between disclosure date and grant date. Third, an increase in the firm innovation size will cause a decrease in the probability of licensing after grant date. Then, using the first-time licensing data of 11865 invention patents during 2001-2016 applied by the Chinese enterprises in the State Intellectual Property Office, we support all the theoretical propositions. 
        This paper expands the firm size to the firm innovation size under the background of innovation commercialization, and confirms the advantages of innovation size in the decision-making of patent licensing time. The main contributions are as follows. First, on the basis of considering the disclosure and grant effects of the patent system, we have established a decision-making model for enterprise patent licensing time under different innovation size. This article reveals that the firm innovation size influences the patent license time by affecting the patent license search cost and the difficulty of patent technology imitation, thus enriching the theoretical research on the decision mechanism of patent license time. Second, this article finds that the relationships between firm innovation size and the licensing probability between the patent application and disclosure and the licensing probability after patent grant are linear, while the relationship between firm innovation size and the licensing probability between patent disclosure and grant is a non-linear inverted U-shape. This poses a challenge to many linear relationship studies in the literature on the influencing factors of patent license time. Obviously, future research should consider both the benefits and costs of the patent licensing time decision from the entire patenting process, and pay special attention to the non-linear effects of the factors influencing the patent licensing time decision. Third, this article uses China as a research context with imperfect patent systems and technology markets, and reveal the patent licensing decision-making mechanism of enterprises with different innovation size. We have expanded the relevant research on patent licensing decision-making in the context of developed countries from the theoretical and empirical levels, and enriched the application context of theoretical models of patent licensing decision-making in developing countries.
        In summary, this study builds a theoretical model to reveal the decision on the timing of patent licensing for enterprises with different innovation size, which has important practical implications for the choice of firms′ technology transfer strategies and the design of technology transfer policies in China.
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    The cultivation of the NEV manufacturing industry: Selective or functional industrial policies?
    Xiong Yongqing, Xu Wen
    2021, 42(6): 58-64. 
    Abstract ( 283 )  
         As an emerging industry, the new energy vehicle(NEV) manufacturing industry faces the real dilemmas of high price, low market demand, high risk, and low consumer awareness in the market promotion process. Promoting the development of emerging industries such as new energy vehicles through industrial policies is a common choice of governments around the world. NEV manufacturing industry policies can be divided into selective industrial policies and functional industrial policies. There are differences in the operational mechanisms between selective and functional industrial policies. Selective industrial policies mainly rely on investment approval, guidance catalogue, purchasing subsidy, tax reduction and other measures to make the NEV manufacturing industry achieve a certain cost advantage in the competition. Functional industrial policies mainly provide a driving force for the maturity of a commercialization conditions of the NEV manufacturing industry through the input and optimization of public resources such as infrastructure construction, supporting public service, and demonstration and promotion of education. At present, there is a controversy in both theoretical and practical circles about whether emerging industries such as NEVs should be promoted with selective industrial policies or functional industrial policies.
          The demonstration and promotion of the NEV manufacturing industry in China can be divided into three stages: pre-stage, mid-stage and post-stage. This study selected 16 NEV manufacturers and 88 demonstration cities in China as research samples. Focusing on the implementation effects of the selective and functional industrial policies of China′s new energy auto industry, a comparative analysis was carried out from the three dimensions of significance, agility, and stability of policy implementation effects.
           The study results show that:(1) Selective and functional industrial policies have their own advantages and disadvantages, and they need to be complemented and coordinated. The NEV manufacturing industry, as an emerging industry, has different needs for selective or functional policies at different stages of growth. At present, the cultivation and development of the NEV manufacturing industry not only requires promoting demand with selective industrial policies, but promoting supply with functional industrial policies.(2) The significance, agility, and stability of effects of selective industrial policies have gradually declined as NEVs move through demonstration stages. The policy effect of selective industrial policies is relatively significant in the pre-stage of the demonstration and promotion of new energy vehicles, but in the mid-stage and post-stage, the effectiveness of selective industrial policies has gradually declined. In the pre-stage and mid-stage of the demonstration and promotion, the lag period of the policy effect of selective industrial policies is relatively short, but it is unstable in the post-stage. In the pre-stage of the demonstration and promotion, the stability of the policies effect of selective industrial policies was poor. This effect then increased slightly in the mid-stage and declined in the post-stage.(3) The significance, agility, and stability of the policy effect of functional industrial policies have gradually increased through the states of the NEV demonstration and promotion period. The significance of the policy effect of functional industrial policies is relatively weak in the pre-stage, but increases in the mid-stage and post-stage. In the post-stage, this effect is relatively strong. In the pre-stage and mid-stage of the demonstration and promotion, the lag period of the policy effect of functional industrial policies is relatively longer, and it is slightly extended in the post-stage. The policy effect of the functional industrial policies was stable in the pre-stage, mid-stage, and post-stage of the demonstration and promotion and did not change significantly.
          This study has three implications for optimization and adjustment of China′s NEV manufacturing industry policies:(1) With the demonstration and promotion of the NEV manufacturing industry from the pre-stage to the mid- and post-stages, the policy structure of the NEV manufacturing industry needs to be adjusted. It necessary to change from a policy structure dominated by selective industrial policies to a policy structure with functional industrial policies as the main component, supplemented by some selective policies. Promoting the development of the NEV manufacturing industry should be accomplished through the synergy of functional and selective industrial policies.(2) The implementation of functional industrial policies should be based on the construction of public charging spot construction and the "double integral" policy. In order to accelerate the transformation and upgrading of the traditional automobile industry to the NEV manufacturing industry, it is necessary to actively explore the innovative business model of constructing public charging spots and increasing the implementation of the "double credits" policy.(3) Selective industrial policy should establish a new policy structure focused on tax reduction and supplemented by the purchasing subsidy. Tax reduction will be the focus of policy implementation, reducing the cycle of tax refunds to increase the enthusiasm of manufacturers. At the same time, steadily pushing forward the implementation of subsidy reduction policy will gradually reduce the dependence on subsidy in the development of the NEV manufacturing industry.
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    Environmental regulation, green financial development and technological innovation of firms
    Xie Qiaoxin
    2021, 42(6): 65-72. 
    Abstract ( 422 )  
        Although the extensive mode of growth, characterized by high investment and high consumption, achieve the rapid economic growth in the last few decades, the accompanying resource shortage and environmental pollution problems have become increasingly prominent, while sustainable economic and social development is facing severe challenges. However, it is not easy to effectively balance economic growth and environmental protection. Strengthening environmental regulations and promoting the green transformation of the economy will often experience the pain of slowing growth in the short term.
        As the main policy tool oriented to environmental protection, whether environmental regulations can stimulate the vitality of firms′ technological innovation, is crucial to achieving a win-win goal for economic development and environmental protection. As a new type of environmental policy tool, green finance was introduced to China in 2007, "Thirteenth Five-Year Plan Outline′ further elevate the construction of green financial system to the national strategic level. Under the constraints of environmental regulations, can green finance provide strong support for green technological innovation and green enterprises, ease the financial pressure on enterprises caused by environmental regulations, give full play to the technological innovation incentive effect of environmental regulations, and finally solve the dilemma of economic growth and environmental protection, what is of great significance to achieve high-quality development in the period of the new normal.
        Basing on the data of China′s manufacturing industry listed companies, this paper investigates the impact of environmental regulation on the firms′ technological innovations and the adjustment effect of regional green financial development on the relationship between environmental regulation and firms′ technological innovations. The results show that, environmental regulation has a significant positive impact on the firms′ technological innovations. The promotion effect is relatively weak in strong financing-constrained firms. Green financial development has a significant positive adjustment effect on the promotion effect of environmental regulation on the firms′ technological innovations. The positive adjustment effect of green financial development plays a more obvious role in strong financing-constrained firms. Furthermore, compared with firm located in regions with low environmental regulations, the positive adjustment effect of green financial development is relatively larger in firm located in regions with strong environmental regulation. The conclusion of this paper provides a new perspective and decision support for guiding the innovation and incentive effect of environmental regulation, and expands the research field of the economic consequences of green finance development.
         The conclusion of this paper has some policy implications. Firstly, simply increasing the intensity of environmental regulations regardless of the firms′ financial situation will strengthen the substitution relationship between environmental regulation and technological innovation. Secondly, from the perspective of promoting firms′ innovation, the development of green finance and environmental regulation policies are mutually complementary. Thirdly, the financial constraint is an important factor restricting the stimulation effect of environmental regulation policy on the firms′ innovation. In addition to promoting the development of green finance, the allocation of government R&D funding should be more inclined to the firms with strong financing constraints, and encouraging firms to achieve green transformation through technological innovation.
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    Impact of state-owned enterprise mixed ownership reform on innovation performance
    Xiong Aihua, Zhang Zhibin, Zhang Han
    2021, 42(6): 73-83. 
    Abstract ( 415 )  
        In the context of China′s high-quality development, the driving force of development is gradually changing to innovation driven, and the importance of independent innovation is further enhanced. Enterprise innovation is the key to national independent innovation, which is of great significance to the high quality and sustainable development of enterprises. Compared with non-state-owned enterprises, insufficient innovation motivation of state-owned enterprises will not only reduce the competitiveness and sustainable development capabilities, but also have an adverse impact on the high-quality development of the entire society and industrial transformation and upgrading. However, with the deepening of mixed ownership reform, state-owned enterprises have changed the original ownership structure and governance mechanism. Improving R&D capacity and stimulating innovation vitality will be the focus of state-owned enterprise reform, which is bound to have an important impact on the innovation level of state-owned enterprises. Then, how to promote the innovation performance of state-owned enterprises has become an important topic of common concern in academic and practical circles.
        At present, scholars have carried out a lot of research on the relationship between the mixed reform of state-owned enterprises and innovation, most of the literature mainly focuses on the impact of ownership structure. As the fundamental institutional arrangement of enterprises, the ownership structure has an important impact on the innovation behavior of enterprises. There is a lack of research on the "reform" level of state-owned enterprises, that is, the impact of high-level governance on innovation. Based on this, from the perspective of "mixed" and "reform" of state-owned enterprises, this paper will explore whether the mixed ownership reform measure of introducing non-state-owned capital into state-owned enterprises can activate the innovation vitality of state-owned enterprises and improve their innovation performance, and try to clarify the mechanism of the impact of mixed reform of state-owned enterprises on innovation performance, so as to promote the high-quality sustainable development of state-owned enterprises and the whole national economy. Sustainable development has important theoretical and practical  significance. Based on the data of manufacturing listed companies of state-owned enterprises from 2008 to 2017, this paper discusses the influence mechanism of state-owned enterprises mixed ownership reform on innovation performance. 
        The main conclusions of this paper are as follows:(1) The change of ownership structure does not have a significant impact on innovation performance of state-owned enterprises, while non-state-owned shareholders play a significant role in promoting innovation performance through high-level governance.(2) The mixed ownership reform improves the promotion effect of state-owned enterprises′ cash holdings on innovation performance.(3) The different nature of control right, industry characteristics and market environment of state-owned enterprises will result in the different impact of mixed reform of state-owned enterprises on innovation performance.(4) The appointment of directors, supervisors and senior executives by non-state-owned shareholders has a positive impact on the substantive innovation of enterprises.(5) The mixed ownership reform improves the total factor productivity and enterprise value of state-owned enterprises. This paper has certain theoretical significance and practical value to deeply understand the economic consequences and mechanism of mixed ownership reform of state-owned enterprises.
         The conclusions of this paper provide more specific policy implications for state-owned enterprises to improve the level of innovation performance and stimulate the innovation vitality of state-owned enterprises. First, in the process of mixed ownership reform of state-owned enterprises, non-state-owned shareholders should expand their participation, give full play to its governance role, the motivation of appointing management should be improved, the governance system of state-owned enterprises should be perfected, and the existing decision-making mechanism should be optimized. Second, combined with the characteristics of industry types, the state-owned enterprises should further implement the classified reform ideas, carry out targeted mixed reform of state-owned enterprises, and do not copy mechanically or blindly reform. Third, strengthen the construction of the regional institutional environment, improve the degree of regional openness and establish a fair external competitive environment, optimize the allocation of market resources, and comprehensively improve the level of marketization. Fourth, the mixed reform of state-owned enterprises is not the purpose, on the basis of paying attention to the ownership structure, we should implement and improve the enterprise management and decision-making mechanism, fully mobilize the enthusiasm of non-state-owned capital, stimulate the innovation vitality of state-owned enterprises, and better assist the high-quality development of state-owned enterprises.
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    How emerging firms build their technological space? The role of technological capability portfolio
    2021, 42(6): 84-93. 
    Abstract ( 200 )  
        With the development of knowledge economy and the emergence of innovation 2.0 era, technological innovation has become an important driving force of national and regional economy and politics. As a bridge between "old" and "new" technology, emerging technology plays a fundamental and supportive role in the whole technological innovation chain, which is the source and guarantee of core competitiveness of strategic emerging industries. However, emerging technology are facing uncertainty, risk and ambiguity, so how emerging firms integrate their technology and explore new technology domains? Specifically, how these firms build their own technology space? Trying best to build unique technology bundle and pursue heterogeneity, or consistent with industrial technology space and build similar technology bundle? 
         Actually, existing theories of technological space heterogeneity lie in technological merger and acquisition, R&D alliance, technology portfolio assessment, technology competition analysis, and innovation performance, which has formed ripe theoretical system. But existing research of technological space heterogeneity are facing some shortages. First of all, a lot of relevant research(for example, technological distance and technological proximity) investigate the technological distribution of two or more counterpart, but ignored the broader industrial technological background. Due to the dynamic and uncertainty of emerging technology, the concept of technological space heterogeneity could transcend the notion of "counterpart", and better describe the heterogeneity of cross-level technological space between firm and industry level. Second, technological space heterogeneity is rarely treated as R&D and patent strategies, whose technological capability foundation and its portfolio effect are always neglected. In emerging technology, the technological innovation is always concerned with the recognition, forecasting and exploitation of technological trajectories, or the capability of perception and catch the emerging technological opportunities in the uncertain and ambiguous environment, which depends on the capability portfolio.
        The data of this paper has three sources.(1) The patent data comes from a patent database named SOOPAT, which embodies over 80 million patent documents from 98 countries and regions.(2) The financial data comes from CSMAR.(3) Some data(for example R&D input and government subsidies) comes from annual reports of listed companies, and they are collected manually. Considering the potential influence of new accounting principles in 2007 and the completeness of financial data and annual reports of listed companies, this paper chooses 2009-2015 as the sample period, and removes the ST and *ST firms in this period. Eventually, this paper 489 489 enterprises in strategic emerging industries.
         Focusing on the question, this paper analysis 489 enterprises in strategic emerging industries based on the perspective of technological capability and its portfolio. This paper find:(1) Under the condition of high core technological capability and general technological capability, technological space heterogeneity has positive effects on firm performance;(2) Under the condition of high core technological capability and low general technological capability, the relationship between technological space heterogeneity and firm performance are inverted U-shaped;(3) Under the condition of low core technological capability, no matter their general ability is high or low, technological space heterogeneity has negative effects on firm performance. 
        The theoretical contribution of this paper mainly reflected in two aspects.(1) This paper introduces the concept of "technological space" to analyze the question of technological space heterogeneity between different levels. The concept of technological space heterogeneity could transcend the notion of "counterpart", and better describe the heterogeneity of cross-level technological space between firm and industry level, by doing so, this paper could expand the studies of firm technology trajectories and technological opportunity.(2) This paper explores the technological capability and its portfolio effect in emerging technology domain, to reconcile the conflict conclusion of existing studies. By introducing the situational variables of technological capability portfolio, this paper takes part in the discussion of the relationship between technological space heterogeneity and technology capability, and reconcile the conflicting findings between technological space heterogeneity and firm performance. What′s more, this paper response to the call of "investigate firm′s technological heterogeneity from the industry level" and studies the differential mechanism between technological space heterogeneity and firm performance under different technological capability portfolio context.
         The managerial implications are as follows:(1) The findings of this paper help the emerging firms to identify their own technological capability portfolio, and provides new ideas to build technological strategy as well. In the complicated environment of competition with the coexisting of threats and opportunities, emerging firms are taking important responsibilities of development. How to get clear of their own technological capability portfolio, and how to take appropriate innovation strategy of technology to stand firm even seize the initiative in the emerging industry, are all important questions for practitioner and researchers.(2) The findings of this paper help the emerging firms to build appropriate technological space in order to improve their performance. This paper discusses differential technological space building strategies under different technological capability portfolio, which helps emerging firms to plan the R&D rhythm and patent strategies to build better technological space and gain better performance.
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    How knowledge network embedding context activates firms′ ambidextrous innovation?——A research based on the QCA method
    Ou Zhonghui, Cai Youhua, Hu Huifang
    2021, 42(6): 94-101. 
    Abstract ( 282 )  
         Firm′s high innovation performance not only depends on the investment of innovation resources, but also needs the support of corresponding innovation environment. Due to the differences in purpose and characteristics between incremental innovation and breakthrough innovation, these two types of innovation have different requirements on the input of heterogeneous knowledge resources and the innovation environment. Therefore, to promote the high-quality development of innovation, it is necessary to refine the research on the impact of innovation environment on different types of innovation. Different factors in the innovation environment do not necessarily have a causal relationship with ambidextrous innovation, but the complex linkage between multiple factors may lead to high breakthrough innovation or high incremental innovation respectively. 
        Based on the idea of set theory, this study developed a model of ambidextrous innovation influence mechanism which includes knowledge network embedding, knowledge resource management and organizational routine. Knowledge network embedding include network relationship, network location, and network size. Knowledge resource management include knowledge search, knowledge sharing and knowledge creation. Organizational routine includes explorative routine and exploitative routine. Through collecting data of knowledge network embedding, knowledge resource management and organizational routine, this study conducted a qualitative comparative analysis of fuzzy sets which has the advantage on the research of asymmetric relations among 171 sample enterprises from innovation cluster, and finally obtained five antecedent conditional configurations of high breakthrough innovation and high incremental innovation respectively.  
        The results revealed that there are two types of configuration to achieve high breakthrough innovation in the context of knowledge network embedding. Type 1 emphasizes the combination of knowledge search and knowledge creation strategies. Type 2 emphasizes that under the embedding condition of knowledge network, the following configurations can all promote high breakthrough innovation: the combination of explorative routine and knowledge creation, the combination of exploitative routine and knowledge search, the synergistic effect of network governance mechanism, knowledge search and knowledge creation under the absence of knowledge sharing condition. There are two types of configuration to achieve high incremental innovation in the context of knowledge network embedding too. Type 1 emphasizes the combination of knowledge search and knowledge sharing strategies. Type 2 emphasizes that under the embedding condition of knowledge network, the following configurations can all promote high incremental innovation: the combination of exploitative routine and knowledge sharing, the combination of explorative routine and knowledge search, the synergistic effect of network governance mechanism, knowledge search and knowledge sharing under the absence of knowledge creation condition.
        The results of research provide a new perspective for the interpretation of firm′s ambidextrous innovation, it also provides multiple guiding paths for scientific and technological management departments to guide firm′s ambidextrous innovation.
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    The value creation effect of "environmental supervision" from the perspective of enterprise green innovation——A quasi-experimental research based on environmental protection admonition#br#
    Wang Xu, Zhang Xiaoning, Zhu Ran
    2021, 42(6): 102-111. 
    Abstract ( 275 )  
          The formulation and implementation of environmental protection interview policy has opened the prelude of "environmental supervision" in China, and has an important impact on the micro level of enterprise environmental strategy. This paper takes the promulgation of environmental protection interview policy as a research opportunity, combined with quasi-experimental research and Difference-in-Difference model, mainly discusses the policy effect and mechanism of environmental protection admonition on the "dynamic" environmental strategy of enterprise green innovation. 
         The results show that: First, the environmental protection interview policy has significantly promoted the green innovation performance of enterprises within the government area under the interview. The value creation effect of green innovation is not only conducive to the local government to recover the negative impact caused by the interview, but also can gain a comparative advantage in the environmental protection competition. More importantly, green innovation effectively promotes the incentive compatibility between government and enterprises, making it possible for enterprises to respond positively to the government′s pressure on environmental governance. Second, the inclusive system and its policy combination with the selective system are powerful tools for local governments to drive enterprises′ green innovation. Under the condition of inclusive system supply, the environment for the development of innovative talents, the protection of intellectual property rights and the environment for the transformation of achievements have been greatly improved, which has stimulated the green innovation motivation of enterprises. But relying solely on selective institutional supply may crowd out investment in innovation and weaken entrepreneurial risk-taking. Under the combination effect of the two policy tools, enterprises′ green innovation ability and innovation will are simultaneously stimulated. Thirdly, the path effect of institutional supply shows significant heterogeneity among enterprises with different property rights. After the local government is interviewed, private enterprises can respond to the pressure of environmental governance through green innovation strategy, and show strong dependence on the resources brought by the inclusive system. In contrast, due to the lack of willingness to take risks or the inability to meet the systematic and complex requirements of green innovation, state-owned enterprises fail to make strategic response through green innovation and choose the environmental strategy of end-governance instead.
         The research contributions of this paper are as follows: First of all, based on the related research of environmental strategy, the research perspective of environmental protection admonition policy effect is expanded from passive pollution control to active value creation, revealing the policy impact of environmental protection admonition on enterprise green innovation. Secondly, based on the strict exogenous environmental policy, this paper extends the green innovation decision-making motivation from the organizational endogenous perspective to the external policy environment, thus enriching the related research on the driving factors of green innovation. Moreover, based on the perspective of institutional supply, the paper takes the inclusive and selective institutional supply as the policy tools for local governments to respond to environmental protection interviews, comprehensively presents the impact mechanism of the institutional choice of local governments interviewed on the green innovation of micro enterprises, and opens the black box of the role of environmental policies on enterprise value creation.
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    The game analysis of enterprise patent litigation strategies under Section 337 Investigation
    Zhu Xuezhong, Xu Chenqian
    2021, 42(6): 112-119. 
    Abstract ( 219 )  
        The Section 337 Investigation is an important way for US to establish trade barriers to Chinese enterprises. If Chinese enterprises are issued an exclusion order and a cease order, they will lose the US market. This paper builds a three-stage dynamic game model between US companies and Chinese companies based on characteristics of the Section 337 Investigation, and analyzes factors affecting the strategic movements of both parties from the perspective of their payoff. 
         By using backward induction method, this paper arrives main conclusions as follows. First, results of the model indicate that the respondents′ probability of settlement is proportional to the probability of searching the invalid evidence, the win rate of applicant and the US market-share lost by the applicant, and is inversely proportional to the applicant′s expense and the required license fee. Moreover, the applicants′ probability of settlement is proportional to the cost of respondents searching invalidation evidences. 
         To make each conclusion more reasonable, this paper discusses possible explanations for each result. For the probability of searching the invalid evidence, once the respondent successful invalidate patents in suit, the investigation will be terminated thereby making other respondents free-riding. This is not necessarily a good result for respondent who filed invalidation. Hence, if respondent have helpful invalid evidence, it will prefer to settle with applicant privately. Regarding to the win rate of applicant, when applicant has confidence, settlement by paying license loyalties is the preference of respondent since it will be afraid of losing the market in US. As for the US market-share loss of applicant, ability to exert a greater impact on the applicant′s market share indicates that the respondent is already a large-scale corporation. For listed corporations, Section 337 Investigations may result a drop in share price. Therefore, in order to reduce such losses, respondent will choose to settle with applicants as soon as possible. 
         Concerning the expense of applicant, since legal fees is associated with workload of lawyers, the increase of legal fee reflects that respondent has lower risk of infringement and tend not to settle. Turning to the license fee applicant asked, taking the purpose of applicant into consideration, if its main purpose is to expel the respondent from the US, the licensing fee that respondent needs to pay may even exceed its market share in US. Therefore, the respondent will choose not to settle. In the case of the cost of respondents for searching invalidation evidences, the higher the cost of respondent input in searching evidence, the higher the possibility of being successful. Since the applicant has to ensure that it can continue to investigate other respondents with valid patents, it will tent to settle with this respondent.
        Furthermore, these conclusions are verified by case study which conducts comparative analysis of two Section 337 Investigations encountered by China′s LED industry. Although five of six conclusions are match actual situation, there is a discrepancy about the US market-share lost by applicant. Specifically, while Chinese enterprises have stronger impact on applicant when the later investigation happened, they used ample evidence to get applicant to withdraw the case unconditionally instead choose to settle. The possible explanation for this inconsistency is the timing of later investigation. This investigation occurred in a trade war between China and US. If Chinese enterprises pay licensing fees to the applicant, it means they do not deny the existence of intellectual property infringement, which also means the deny of the effort of promoting the development of intellectual property work made by country and industry. Therefore, Chinese companies have defended their legitimate rights in the US market and such a victory is significant in the context of trade war. 
         Finally, this paper proposes recommendations for enterprises to dealing with Section 337 Investigations. Before Section 337 Investigations, export enterprises should strengthen their legal consciousness and analyze the patent layout of competitors to make early warning during product development stage. In this way, companies can reduce the risk of patent infringement from the beginning. Besides, through technological innovation and patent applications, companies can increase the negotiation bargaining chip with the applicant. Moreover, enterprises should pay attention to daily IP management practices, such as retaining related records and educating employees, thereby improving the response efficient when the Section 337 Investigation is initiated. 
         Regarding to suggestions during Section 337 Investigations, they are given according to the stage of the game model. In the first stage, enterprises should search invalidation evidence and use them as bargaining chips. In the second stage, companies shall evaluate the purpose of the applicant. If the applicant wants licensing fee only, enterprise shall negotiate with the applicant alone and use invalidation evidence to obtain reasonable settlement conditions. However, if the purpose of the applicant is to drive respondents out of the US market, more preparations will be made by applicant. Therefore, invalid evidences held in the previous stage may not bring advantages in settlement. In this situation, other settlement strategies can be adopted. Enterprises can take counter-measures in China, such as invalidating Chinese family patents, filing counterclaims in domestic courts, and accusing the applicant of abusing market dominance. These legal measures are less costly and will help companies reach a private settlement without letting competitors get a free ride. Moreover, considering the large scale of the company, in order to avoid problems such as stock price decline and loss of customers due to the Section 337 Investigation, companies should tie up with local news media and guide them to positively publicize their actively response to the lawsuit thereby taking advantage of the marketing value of the Section 337 Investigation. 
         In the last stage of the game, enterprises should make use of related resources. First, seek the policy support and guidance of the government. Second, ask industry associations to contact other respondents for establishing a response alliance which can share litigation expenses and relatively increase the economic burden of the applicant thereby increasing the probability of applicant withdrawing the case. Lastly, when the risk of infringement is high, companies need to design around to make new products not fall into the protection scope of patent claims and pass ITC certification thereby letting new products can enter the US market. 
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    Impact of the fit of knowledge search and absorptive capacity on enterprise innovation performance——The mediating role of knowledge integration
    Li Baizhou, Zeng Jingwei
    2021, 42(6): 120-127. 
    Abstract ( 250 )  
         Knowledge is an important resource for enterprises to enhance their capabilities, develop products and services, and also an important support for enterprises to maintain their competitive advantages. Knowledge search is an important channel for enterprises to acquire knowledge from outside, and absorptive capacity is a dynamic capability of combining internal and external enterprises. However, there are always differences on the impact of knowledge search and absorptive capacity on innovation performance. Based on the knowledge-based view, this paper combines the matching theory, integrates the characteristics of knowledge search and absorptive capacity, and divides the dimensions. This paper explores the impact mechanism of the fit between knowledge search and absorptive capacity on enterprise innovation performance, introduces knowledge integration as a mediation variable, and explores the intrinsic influence mechanism of the fit between knowledge search and absorptive capacity on enterprise innovation performance.
         Firstly, this paper divides the "search-absorption" fit into two dimensions: "search-absorption" fit degree and "search-absorption" fit intensity. Four models have been developed: "high search-high absorption", "low search-low absorption", "low search-high absorption" and "high search-low absorption". Based on the literature review, three hypotheses about the "search-absorption" fit and enterprise innovation performance are obtained. On this basis, the paper puts forward the hypothesis of the mediating role of knowledge integration. Therefore, the paper puts forward four research hypotheses.
         Secondly, the paper designs a questionnaire based on literature, and the research sent out 500 questionnaires, which 327 questionnaires collected were used for empirical analysis. This paper confirms the reliability and validity of the questionnaire data, carries out descriptive statistics, and uses the methods of polynomial regression, response surface analysis and hierarchical regression analysis to test the four hypotheses. The results show that different dimensions of "search-absorption" fit have different impacts on innovation performance. In the case of the fit between knowledge search and absorptive capacity, the innovation performance of enterprises is better when both knowledge search and absorptive capacity are at high levels. Enterprises with "low search-high absorption" have higher enterprise innovation performance than they are in "high search-low absorption" state. The better the "search-absorption" fit is, the better the enterprise innovation performance. "Search-absorption fit" has a significant positive impact on enterprise innovation performance. High-level knowledge search and high-level absorptive capacity can bring better enterprise innovation performance. The ideal state of enterprise should be "search-absorption fit" under high-intensity. This conclusion is further confirmed by the response surface of "search-absorption" fit and enterprise innovation performance. Knowledge integration plays a partial mediate role between "search-absorption" fit and enterprise innovation performance. This paper uses PROCESS program developed by Hayes and Bootstrapping repeated sampling to further verify the mediation effect.
        Finally, according to the research conclusion, the paper combines the relationship between "search-absorption" fit, knowledge integration and enterprise innovation performance, clarifies the intrinsic influence mechanism, achieves important theoretical contributions and puts forward management inspiration. The theoretical contributions of this paper are as follows:(1) The paper puts forward the view of "search-absorption" fit, and explores its impact on enterprise innovation performance from a new perspective, and enrich the relevant literature on the influencing factors of enterprise innovation performance.(2) The proposition of "search-absorb" fit degree and "search-absorb" fit intensity has formed a useful supplement to the scholars′ debate on the impact of knowledge search, absorptive capacity and enterprise innovation performance.(3) Introducing knowledge integration into the intrinsic influence mechanism of "search-absorption" fit on enterprise innovation performance reveals the important path of "search-absorption" fit affecting enterprise innovation performance, and expands the relevant mechanism of knowledge integration. 
        Enterprises should pay attention to the following aspects:(1) Enterprises should attach importance to the matching between internal and external capabilities of enterprises, not blindly search for knowledge, to have a profound understanding of the internal knowledge absorption capacity of enterprises themselves.(2) Enterprises should enhance the ability of knowledge integration, support cross-sectoral exchanges, strengthen the exchange of ideas and knowledge flow among employees, attach importance to the role of knowledge management in enterprises, and establish and improve knowledge management system.(3) Enterprises should implement the new development concept of "innovation, coordination, green, openness and sharing", adjust their strategies in the best moment opportunely, and pay attention to the matching of internal and external capabilities in order to maintain their competitive advantages.
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    An evaluation of the influence of expert familiarity on technology foresight and optimization of parameters
    Chen Jindong, Zhang Yongwei, Zhou Xiaoji, Sun Shengkai, Liang Guilin
    2021, 42(6): 128-138. 
    Abstract ( 218 )  
        Due to the strong professionalism of future strategic research and general new technologies research, technology foresight is usually implemented based on Delphi method which is relying on expert evaluation, and combining with scenario analysis, literature measurement, patent analysis and other methods. The procedures of technology foresight based on Delphi method mainly include questionnaire design, candidate technology list selection, expert survey and questionnaire statistics etc. Technology foresight adopts two rounds of Delphi survey to evaluate and select the list of alternative technologies.
        Technology foresight is a time-consuming and labor-intensive decision-making tool. In order to improve the scientific nature and effectiveness of technology foresight, a systematic assessment is necessary after each round of technology foresight. In the past, the assessment research was mainly for the technologies that have reached the predicted realization time, and the research period is very long. For the continuous and rolling technology foresight activities, it is difficult to timely evaluate the results of the previous round of technology foresight in this way, and to propose optimization suggestions for the next round of technology foresight. Therefore, to timely evaluate the methods, data and results of the previous round of technology foresight, the feasible method is based on comparative analysis and cross-validation etc.
        In the expert survey process of Delphi, the consulting experts need to score the familiarity, the core of the technology, the driving force, the importance to the economy and society, and the predicted realization time etc. of the alternative technical items. The familiarity of the consulting experts is normally divided into four levels: "very familiar", "familiar", "less familiar" and "unfamiliar". For the statistical analysis of survey data, according to the familiarity of the consulting experts, different weights are assigned, and experts with higher familiarity will give bigger weight and the opinions of unfamiliar experts are ignored. Therefore, the self-assessed familiarity of expert is an important factor to the results of technology foresight.
        "Technology Foresight on China′s Engineering Science and Technology to 2035" is a technology foresight activity jointly organized by Chinese Academy of Engineering and National Natural Science Foundation of China for engineering technology in China. To evaluate the results of the technology foresight, optimize the following technology foresight activities, and support the strategic research of China, this paper uses the evaluating data of the consulting experts in " Technology Foresight on China′s Engineering Science and Technology to 2035", through statistical analysis, complex networks and significance testing etc. methods, the differences among the different familiarity consulting experts are analyzed, the influences of different familiarity experts in technology foresight based on Delphi are evaluated, and the number of the consulting expert, the ratios and weights of the different familiarity experts are optimized.
         First, the distribution analysis of different familiarity consulting experts in different fields of "Technology Foresight on China′s Engineering Science and Technology to 2035" is implemented. In each field of "Technology Foresight on China′s Engineering Science and Technology to 2035", the number of technologies, the number of participating experts, the number of questionnaires, and the number and proportion of "very familiar", "familiar" and "less familiar" experts in each field are counted, the distribution characteristics of different familiarity consulting experts in each field are analyzed.
        Secondly, based on the expert evaluation data of "Technology Foresight on China′s Engineering Science and Technology to 2035", the network relationship and opinion differences of different familiarity consulting experts are studied by using complex network and significance test methods. The complex network is applied to study the evaluation relationship between the different familiarity consulting experts and technologies, to find the main types of consulting experts, to analyze the network relationship between different familiarity consulting experts and the evaluated technologies, and to understand the behavioral differences of different familiarity consulting experts. For the five basic indicators of technology importance(technical core, driving force, importance to economic development, the role of promotion to social development, and the role of safeguarding national and national defense security), a significant difference test by using t-test was conducted to measure whether there were significant differences in the scores to the indicators among different familiarity experts in various fields. Comparing the opinions of different familiarity experts by the pair-wise method, the comparisons are divided into three groups: "very familiar" experts vs. "familiar" experts, "very familiar" experts vs. "less familiar" experts, "familiar" experts vs. "less familiar" experts.
        Thirdly, based on statistical analysis model and the selected key technologies, the influences of different familiarity experts in technical foresight are assessed. Based on statistical analysis and selection methods, according to the scores of different familiarity experts and all the three familiarity experts, the top 10, top 15 and top 20 technologies in each field are selected, and then are compared with the key technologies identified by panel experts in each field. The number of key technologies included in the top 10, top 15 and top 20 technologies are counted, and the impacts of different familiarity experts in technology foresight are evaluated.
        Finally, based on the evaluating data of the consulting experts of key technologies, the reasonable number of experts and the reasonable proportions and weights of the different familiarity experts are determined. Through the statistical analysis of the consulting data of key technologies, the 95% confidence interval of the number of experts and the ratios of different familiarity experts are determined. Meanwhile, the weights of different familiarity experts are optimized by Brute Force Grid Search method.
    Through the research of this paper, we can find out:(1) The evaluation method based on complex network and significance test can effectively support the timely evaluation of different familiarity expert opinions in technology foresight.(2) The results verify that the self-assessed "very familiar" experts in Delphi survey process are relatively optimistic for the evaluation of technical items, and the "less familiar" experts are relatively conservative in the prediction of technical items. It is also found that, without the influence of the number of experts, the opinions of the "familiar" experts are relatively more accurate.(3) Finally, through statistical test and optimization algorithm, the number of consulting experts in the foresight technology, the ratios and weights of different familiarity consulting experts are optimized, which offers a reference for the subsequent technology foresight activities.
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    Why does China lack academic entrepreneurs?——A study based on the "cognition-purpose" theory
    Huang Yongchun, Xu Junhai, Xu Gaoyan
    2021, 42(6): 139-149. 
    Abstract ( 263 )  
       At the end of the 19th century, great changes have taken place in the functions of universities, which not only undertake the functions of teaching and research, but also begin to play the role of social services, and gradually become the forefront of promoting economic and social development. In this context, many universities around the world pay more and more attention to the transformation of scientific research achievements, encourage researchers to innovate and start businesses, therefore, many academic entrepreneurs have emerged. Academic entrepreneurs refer to those who are different from traditional professors in scientific research institutes. They usually engage in business activities with the help of academic reputation and professional expertise, and have the dual characteristics of scientists and entrepreneurs.
        However, academic entrepreneurs who are expert both in technique and management are uncommon in China. This predicament not only restricts the transformation of scientific and technological achievements, but also restricts the development of emerging industries in China. It is urgent to reveal the factors that restrict the academic entrepreneurship of Chinese researchers, and encourage researchers with entrepreneurial ability to transform into academic entrepreneurs, so as to promote the R&D and transformation of emerging scientific research achievements in China.
         Based on the "cognition-purpose" theory, this study explores the driving mechanism of the academic entrepreneurship in China. It attempts to divide the types(internalization convention, identity conversion and integrated entrepreneurship) and the characteristics of the academic entrepreneurs in China. Combined with the empirical analysis, this paper constructs a mathematical model of "two-stage career choice" on human capital accumulation and reveals the constraints of the lack of the academic entrepreneurs in China. The results suggest that:(1) although a scientific researcher has high expected benefit in the academic entrepreneurship, the risk and conversion costs of the academic entrepreneurship are high. Therefore, it is necessary to create a favorable atmosphere for academic entrepreneurship, reduce the costs and risks of the academic entrepreneurship, and improve the social environment of the academic entrepreneurship.(2) When the social benefit of academic entrepreneurship is high and the conversion cost of the academic entrepreneurship is low, a scientific researcher may be transformed into an academic entrepreneur.(3) When the cost of acquiring non-scientific research skills is high and the social entrepreneurial environment is not perfect, a researcher will choose the risk aversion strategy, that is, to give up the academic entrepreneurship and engage in the academic research.
          This study also provides some significant managerial implications. Researchers with entrepreneurial vision in scientific research institutions of China should:(1) based on the national science and technology development plan, combined with market demand, implement the research and development of emerging scientific and technological achievements, so as to improve the market value of scientific and technological achievements.(2) Strengthen the study of professional skills and management skills, especially the study of business management knowledge, better understand the market development trend, and avoid the phenomenon of "internal lock".(3) Strengthen opening up and innovation, accumulate social capital, and pay attention to the leverage of social resources. 
         At the same time, the government and research institutes should:(1) optimize the evaluation and title promotion system, guide researchers to devote themselves to the research and development and transformation of scientific research achievements.(2) construct the interest mechanism of academic entrepreneurship, clarify the right of the creators of scientific and technological achievements to use and distribute their scientific and technological achievements.(3) provide the resource guarantee of academic entrepreneurship, and provide incubation services for researchers′ academic entrepreneurship to reduce the cost and risk of academic entrepreneurship.(4) build up a service platform for academic entrepreneurship to help researchers leverage social resources, and improve the guidance and supervision, tracking support, entrepreneurial support and other service functions in the implementation of scientific and technological achievements.(5) improve the supporting system of venture capital, promote venture capital to serve researchers′ academic entrepreneurship, and provide authoritative policy interpretation and guidance. And(6) create a more relaxed entrepreneurial atmosphere, in which researchers are allowed to combine between academic organizations and enterprises according to their needs, so as to make the academic organization′s disciplinary advantages continuously transform into innovation advantages.
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    The influence of charismatic leadership on knowledge transfer in project teams
    Ren Xu, Liu Jia
    2021, 42(6): 150-158. 
    Abstract ( 276 )  
        The implementation of the project contains the integration and application of different kinds of technologies and experiences from the experts and technicians in the project. Knowledge transfer between them consists in the whole project life-cycle period. Therefore, it has great realistic meanings to promote knowledge transfer in the project team so as to improve the project management efficiency and realize the project goals. As the project manager is the core leader for tasks and resources assignment and team building in the project, his leadership plays a key role in the knowledge transfer activities in the project team.
       According to the Theory of Reasoned Action(TRA), the knowledge transfer intention of the team members is influenced by the subjective norms and their transfer attitude. As the heart of the whole project team, the project manager′s leadership can act as the subject norms to affect whether they would like to transfer knowledge with each other. Psychological safety which is defined as the beliefs team members can express themselves without fearing of negative interpersonal consequences, can reflect their attitude to the knowledge transfer behavior. Based on the TRA, this paper studies the effect which the project manager′s charismatic leadership has on knowledge transfer intention and the mediating role of team members′ psychological safety in this influencing path. Meanwhile, environmental factors are also very important in influencing knowledge transfer because they supply the context for the team members′ interaction. Previous studies suggest future research should focus on the boundary conditions psychological safety′s effect on knowledge transfer. Hence this paper makes further analysis about the moderating effect of the dynamic environment in the influence that psychological safety has on transfer intention. 
        In this study, data is collected from the project teams in the construction industry in China to test the hypotheses proposed. The respondents include project managers, head engineers, department managers in project, engineers and project general staff. Of the total 282 questionnaires sent out, 245 responses were returned, representing a response rate of 86.88 percent. Data analysis is conducted with SPSS 22.0 software, and the results show the validity, reliability and discriminant validity of the constructs achieve the satisfactory level. The hypotheses are tested with the hierarchical regression method and the results show that:(1) The charismatic leadership has a significant positive effect on team members′ transfer intention. Among the five dimensions of charismatic leadership, vision, consideration to staff, innovation and affinity can positively influence team members′ transfer intention, while another dimension, professional ability, does not.(2) The psychological safety can partially mediate the influence vision and innovation have on transfer intention, and can fully mediate the influence consideration to staff and affinity have on transfer intention.(3) The environmental dynamics can negatively moderate the positive influence psychological safety has on transfer intention. 
        Based on the empirical research findings, some theoretical contributions can be concluded in this study.(1) This paper reveals the influencing path from the project manager′s charismatic leadership to team members′ knowledge transfer intention.(2) The study finds that knowledge transfer intention is one of the outcome variables of the psychological safety, demonstrating the viewpoints that psychological safety can promote team learning and knowledge sharing in previous studies.(3) The research finds the moderating effect of the environmental dynamics in the influence the psychological safety has in the exploitative learning is different from it has in the exploratory learning.
       Finally, the study put forward some valuable practical suggestions for better knowledge management in the project.(1) The project managers should act as charismatic leaders to promote knowledge transfer in the project team.(2) The project managers should take actions to improve the psychological safety of team members, such as organizing and taking part in the team activities, being kind to team members, caring about them, building the fair and sharing team atmosphere and so on, to encourage the knowledge transfer among them.(3) The project manager should pay more attention to the team building in the dynamic environment. They can improve the team resilience to defense against external uncertain environment through their charismatic leadership so as to successfully realize the project goals.
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    A research on the incentive and restraint mechanism of indirect costs of government research projects
    Xiao Xiaoxi, Tang Fujie
    2021, 42(6): 159-165. 
    Abstract ( 201 )  
        At present, the key problem in governmental research project funding management in China is how to establish an effective incentive and restraint mechanism. From the perspective of the incentives mechanism, in recent years, the introduction of indirect costs has replaced the previous management overhead fees. Besides this, currently performance allowance is permitted in indirect costs, and the limit of personnel costs proportion is abolished, all of which demonstrate that China′s governmental research funding management has entered a new stage characterized by incentive orientation and strengthen the financial autonomy of project performers such as universities and research institutes. However, there are still some challenges to be addressed. For example, as the policy barriers from the central government have been removed, how to make sure researchers really benefit from this? Compared with the value of equipment and infrastructure, the value of human resources has been underestimated in project funding management for a long time. How to truly reflect the creativity of scientific researchers in indirect costs of the governmental research project? 
        From the perspective of constraint mechanism, the responsibility of the project performing organizations such as universities and research institutes has increased after the emphasis of financial autonomy for these organizations. How to effectively restrict the project performing organizations from illegal behaviors, and make sure they will undertake the responsibility to make the governmental project′s funds legally and effectively managed? At the national level, in recent years it is required to implement the credit management of scientific research projects and promote the verification of indirect costs of scientific research projects by linking it with the credits of the performing organizations. In fact, it is necessary and important to link the credit management with the indirect costs, so as to effectively encourage the performing organizations and researchers to make the best use of the governmental project funds, and also restrict them from illegal behaviors. In another word, linking credit with indirect costs management is vital to build effective incentive and restraint mechanism in governmental project funding management, and solve the above problems. 
        It can be seen that under the trend of credit management, how to establish an effective incentive and restraint mechanism through the indirect costs of financial research projects is not only an important theoretical research topic in indirect cost management, but also an important policy topic. The existing studies about the indirect costs management of governmental research projects, mainly introduced domestic and foreign practical experiences. In-depth theoretical analysis on how to establish an effective and balanced incentive and constraint mechanism is rare in these studies. Therefore, these studies have limited value in inspiring China′s mechanism design. Based on the incentive and restraint framework of the principal-agent theory, this paper analyzes and compares the incentive and restraint mechanisms in the indirect costs management of governmental research projects in the United States, Britain and China. Then the necessity and importance of establishing the incentive and restraint mechanism by linking the credit management with the indirect costing of governmental research projects in China are illustrated. Finally, this paper puts forward the basic framework and key points to improve the indirect costs management of governmental research projects in China under the trend of credit management, so as to play a supporting role in the construction of effective incentive and restraint mechanism in governmental research project fund management.
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    Managers′ military experience and firms′ R&D investment
    Lang Xiangxiang, You Dandan
    2021, 42(6): 166-175. 
    Abstract ( 286 )  
        Based on brand and upper echelon theory, managers, being the decision makers of corporate innovations, play a crucial role in R&D activities. Evidence has shown that the way managers influence R&D depends on their individual characteristics, such as their degree of risk-taking, managerial ability, to name a few(Garca-Granero et al., 2015). Kish Gephart et al.(2015) argues that these characteristics are shaped by the managers′ experience at a younger age, which echoes the imprinting theory in psychology that one′s early experience has a lasting impact towards the future.
         Among a manager′s early life experience, military exposure deserves special attention. Soldiers, through rigorous recruit training, field exercises or even real combats, are prepared for various unexpected, highly stressful scenarios. Together with strict military discipline, they are directed to a higher level of perseverance and commitment. When these soldiers become CEOs, the qualities military experience have imprinted on them tend to affect their corporate decision-making, including the R&D investment.
         China has undergone several major disarmament activities in the past few decades. Today, nearly 4.4 million veterans enter enterprises or start their own businesses. Military managers are important for business community in China. Study shows that among the top 500 enterprises in China in terms of turnover, more than 40% of enterprise managers have military experience, and the enterprises that they create have good economic benefits(Zhang,2007).
         Existing literatures focus on the influence of managers′ military experience on financing decisions and M&As and, yet less on the effect of their military experience on firms′ R&D investment. In an era full of opportunities and challenges, innovation is key to business survival. At present, China is in the critical stage of the national construction, and the overall economic development is characterized by innovation-driven development. As the micro-subject of innovation activities, enterprises shoulder the responsibility of maintaining regional sustainable development. At the same time, innovation, as the internal power of sustainable and healthy development of enterprises, is an effective way to form enterprises′ core competitiveness. Therefore, from the perspective of higher order theory, the keystones of this paper are to explore the effect of managers′ military experience on firms′ innovation and the influence mechanism.
         Based on this Chinese context, using the data of all the listed companies on the A-share market during 2008-2016, we firstly examine the relationship between managers′ military experience and firm R&D, as well as the moderating effects of founder nature, political context, property right nature and industry competition level between them. Then we study the mediating effect of managers′ risk-taking between military experience and enterprises′ R&D investment. We find that firms with military managers generally invest more in R&D, showing that military life endows military managers with more responsibility and innovation spirit, and increases the R&D investment of enterprises, yet the magnitude depends on a managers′ individual characteristics. First, if a military manager is also the founder of the company, he or she will invest even more in R&D. Second, when the manager has a political background, the size of the R&D investment depends also on factors like government subsidies(Tsai et al., 2018); In fact, the more the subsidies, the smaller the effect military experience has on R&D. Third, military experience has a weaker effect on R&D in state-owned enterprises(SOEs) than in privately owned enterprises(POEs). A possible explanation is managers in SOEs face constant promotion pressure yet have fixed tenure; consequently, they choose to be more conservative in corporate decision-making(Wang et al.,2014). Last, if a company stays in a highly competitive sector, then a manager′s individual and cognitive traits have a large effect on R&D investment. In sum, we find that the effect of military experience on R&D is more pronounced when the military CEO is also the founder, has no political affiliation, is in a POE, or a highly competitive industry.
         After finding a positive relationship between military experience and R&D investment, we proceed to see why. Is it because military managers become less conservative and prudent? Some research in psychology said yes. For example, Killgore et al.(2008) finds that veterans showed more aggressive and dangerous behaviors, such as alcohol abuse, heated rhetoric and physical aggression toward others. Wansink et al.(2008) finds American soldiers who served in the World War II regarded aggression as the key to success. As these soldiers move into the business world after demobilization, one might expect that the risk appetite sharpened during the years in the army will continue to influence their future behavior.
         In our study, the question can be paraphrased as "are military managers more aggressive in corporate decision-making". Previous research has quite diverse opinions. For example, using the US data from 1980-2006, Benmelech and Frydman(2015) maintain that firms with military CEOs have less R&D investment. Focusing on listed firms in China, Luo et al.(2017) argues that CEOs with military experience, who may be more ethical than those without, spend less on potentially wasteful corporate philanthropy. However, other studies disagree. Looking at CEOs in the US from 1980-1994, Malmendier et al.(2011) argues that CEO who have military exposure are more risk-loving and tend to prefer higher market leverage. Lai et al.(2016) finds that firms with military experience have higher financial leverage and lower cash holdings. Our analysis lends support to the "more risk-taking" argument. Therefore,we identified one possible channel that military experience influences corporate R&D decisions: military experience enhances a manager′s risk- taking,which in turn,leads to higher R&D investment. Further study shows that managers′ military experience can not only increase the firm R&D, but also increase the number of patent applications.
         In general, our paper contributes to the literature in the following ways. First, it adds to the studies on managerial experience and corporate decisions. Our finding that military CEOs invest more in R&D, runs counter to Benmelech and Frydman(2015), which suggests policies like the conscription and economic systems are important to corporate governance. Second, our analysis on risk-taking as a mediator helps crack open the "black box" of why and how managers′ early experience affects firm decisions. Third, we find that four moderators-founder managers, the absence of political connections, being in a highly competitive industry, and as a privately-owned enterprise-reinforce the effect of military experience on R&D investment, strengthens the importance of studies on CEO characteristics in corporate finance.
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    The influence of quantum leadership on employees′ work engagement in uncertain situations
    Xin Jie, Han Yu, Liu Shujun, Sun Weimin
    2021, 42(6): 176-183. 
    Abstract ( 388 )  
       The VUCA characteristics of the operating environment of enterprises are increasingly obvious. Under such uncertain circumstances, the accumulation of negative emotions and psychological states will hinder employees′ active involvement in their work. The reduction of employees′ work engagement has a great impact on the resumption of work and production of enterprises under uncertain circumstances, so it is necessary to explore the antecedent variable to improve employees′ work engagement under uncertain circumstances. Leaders, as important antecedents in the organizational environment, can exert an important influence on employees′ work attitude and behavior. Although many leaders have some characteristics of quantum leadership in management practice and have a certain influence on employees′ job engagement, there is still a lack of theoretical research on the influence mechanism of quantum leadership on employees′ job engagement under uncertain scenarios.
       The COVID-19 epidemic in 2020 is a representative "uncertain" event for enterprises, which can better fit the management scenario of this study. In accordance with the principle of random sampling, 1,017 questionnaires were collected from employees of enterprises in six provinces of Shandong, Jiangsu, Henan, Yunnan, Hebei and Sichuan in 2020(from March 20 to April 13, 2020) during the period when the covid-19 epidemic was gradually brought under control and enterprises resumed production. In the context of uncertainty, this paper empirically studies the impact of quantum leadership on employees′ work engagement, and proposes two variables based on the theory of self-depletion, which is self-depletion and loneliness in the workplace, to explore their mechanism of action in this process.
        The empirical results show that:(1) quantum leadership has a significant positive impact on employees′ job engagement. When an organization faces an uncertain situation, it should resort to the cultivation of quantum leadership, so as to promote employees to improve their vitality, dedication and concentration in the workplace, and thus improve their job engagement.(2) Ego depletion plays a partial mediating role between quantum leadership and job engagement. Quantum-type leadership can improve employees′ positive emotions and supplement their psychological resources, thus reducing their ego depletion and further increasing their job engagement.(3) Workplace loneliness regulates the relationship between self-depletion and job engagement. In order to better exert the positive influence of quantum leadership on employee job engagement, it is necessary to pay attention to and eliminate the workplace loneliness of employees.
        The research in this paper extends and enriches the theoretical research on the influence of leadership style on employees′ job engagement. In the context of uncertainty, this paper introduces the theory of self-depletion from the perspective of individual employees, and based on the theory of self-depletion, it investigates the process of the role of quantum leadership from the perspective of psychological resources, thus enriching the research on the boundary conditions and action mechanism of the influence of quantum leadership on the employee′s work engagement. This paper provides some enlightenment for how business leaders in uncertain situation effectively improve employee work involvement, such as cultivating the seven characteristics of quantum type, attaching importance to and eliminate the need for the employee ego depletion, reduce the employee′s work alone, etc.
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    A research on the influence of informal status of knowledge employees on innovation behavior
    Sun Changsuo, Guo Ming
    2021, 42(6): 184-193. 
    Abstract ( 250 )  
        Nowadays, the development of enterprises is gradually transforming from being driven by factors and investment to being driven by innovation. In an organization, for the professionals engaged in management, R&D and other departments, supporting professionals with in-depth professional skills and the middle-level and senior managers, these knowledge employees completing their work through intellectual input, creativity and authority work as the important knowledge carriers and innovation subjects of enterprises, and their innovation behavior is the power source of enterprise innovation, development and competition. Therefore, how to motivate employees′ innovative behavior has always been a hot topic of theoretical research. In the previous studies, employees′ innovation behavior was mainly discussed from two aspects: psychological variables(personality characteristics, psychological environment) and external environment(leadership style, organizational atmosphere). However, the employees′ innovation behavior in not only the result of individual or external environment acting independently, but also is determined by employees′ interaction with different subjects and environmental perception in the shared scenario, but there is a lack of such relevant research.
         Therefore, taking knowledge employees as the research object and based on the social identity theory, this study introduces innovation expectation and error climate into the analysis framework of the relationship between informal status and innovation behavior, builds a model of error atmosphere regulating innovation expectation and acting as a mediation between informal status and innovation behavior, and collects the questionnaire data from 16 enterprises in normal operation including public management and social organizations, science and technology service industry, financial industry, manufacturing industry, culture/health industry and others in Beijing, Hebei, Jiangsu, Guangdong, Shanghai, Fujian and Hunan, etc. through the questionnaire survey method. In order to the guarantee the quality of the data questionnaire, the questionnaire objects were strictly screened in collection to ensure the personnel who filled the questionnaires to be knowledge employees within the enterprise. To avoid homology bias, the questionnaires were fully numbered and were collected in two rounds at an interval of two months. In the first round, the data in various dimensions such as innovation expectation, error atmosphere and informal status of the employees was mainly collected, and in the second round, the data in all dimensions such as innovation behavior evaluated by direct leaders was mainly collected, the content of the questionnaire was strictly reviewed, and 461 valid questionnaires were filtered out from 619 collected questionnaires for empirical analysis.  
        In theory, this study further reveals that there are incentive methods other than material incentives in innovation behavior. In terms of knowledge employees, compared with those for non-knowledge employees, the incentive methods for them should be different, and the incentive methods matching individual attributes and organizational context should be implemented to stimulate their innovative behavior. Based on the research conclusion in this paper, incentive measures should be designed from the perspectives of error atmosphere, innovation expectation and others to promote the innovation behavior of knowledge employees. Different from non-knowledge employees, as a group with stronger needs of for self-realization in organizations, they are more sensitive to the organizational environment, and the good organization environment such as error atmosphere can effectively promote the knowledge employees to conduct innovation behavior. However, the simple organization environment fails to fully explain the innovation incentive path of knowledge-based employees. Compared with non-knowledge employees, knowledge workers often get more innovation expectations, which come from inside and outside the organization. Furthermore, the innovation expectation of knowledge employees is often an attainable goal, while the non-knowledge employees are mostly engaged in the allocated task and step-by-step work, so it is difficult to expect more innovation in their work. Therefore, for the knowledge employees under more pressure from expectations, it is of important practical significance for the innovation development of enterprises to give innovation expectation and create a good error atmosphere so as to promote the innovation behavior of knowledge employees.
        This study also has important practical significance for the management of the knowledge employees. Innovation is one of the core competencies of an enterprise, and the knowledge employees are the main force for the enterprise innovation. How to stimulate the innovation behavior of the knowledge employees is crucial for the managers. Through the empirical results, we put forward the management suggestions as follows: 
        Firstly, this study finds that the knowledge employees with high informal status are more likely to have innovative behavior. Therefore, when encouraging the employees′ innovation behavior, an organization should focus on the establishment of the employees′ informal status. The knowledge employees have more desire for status compared with non-knowledge employees, and they have higher personal quality and better professional ability than non-knowledge employees. In consideration of the lack of specific measurement standards for informal status, there should be an effective setting and management system to grant knowledge employees informal status. For knowledge employees with little innovation, the organization should lead the knowledge employees to conduct innovation behavior according to its current needs, grant them corresponding informal status, and give them sufficient rewards in spirit, so that the knowledge employees can better conduct innovation behavior. 
        Secondly, this study shows that innovation expectation acts as an intermediary in the process of informal status promoting innovation behavior. Therefore, for the knowledge with fewer innovation behaviors, the organization can appropriately improve their innovation expectation and encourage or recognize their enthusiasm for innovation with practical actions, such as sending the organizational signals of encouragement, protection, feedback, recognition and return to knowledge employees. For the knowledge employees with higher informal status, the organization should appropriately let them take over tasks needing more innovation behaviors. Higher organizational innovation expectation will stimulate the innovation motivation of the knowledge employees and promote more innovation behaviors while continuously consolidating the social identity of the knowledge employees from other members.
        Thirdly, the results of this study show that error atmosphere can significantly regulate the generation of innovation behavior. Therefore, an organization should create a good error atmosphere, provide a strong error-tolerant guarantee for the implementation of innovation behavior of knowledge employees, encourage the employees to exchange and learn from each other on innovation and improve their innovation in the error atmosphere, and let the knowledge employees feel more relaxed when implementing innovation behavior. 
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    A research on the career commitment of civil servants and its formation process
    Wang Ying, Yang Mengyao, Wang Xiaoyu
    2021, 42(6): 194-201. 
    Abstract ( 220 )  
        The working pressure of civil servants in China is higher than before, but their welfare treatment is lower. Great changes have taken place in the professional environment of civil servants. The previous research on career commitment mainly focuses on teachers, doctors, nurses and other professional professions, but the research on civil servants is very lack. In addition, previous studies have a great randomness in the selection of variables influencing factors of career commitment. This paper focuses on the influencing factors and generating mechanism of civil servants′ career commitment, which is of great significance for strengthening the stability of civil servants and cultivating the correct career motivation of civil servants in China.
       From the perspective of individual dependence, the investment model considers that individual commitment is affected by satisfaction, investment scale and the quantity and quality of alternative choices. It is used to explore the current situation and influencing factors of the career commitment of in-service civil servants. In the process of career commitment formation, individuals compare and weigh the gap between the results and expectations. If the results are higher than or in line with their own expectations, they will show high career satisfaction, which becomes the attraction of the career. Moreover, the individual′s investment in his career has become the gate or obstacle for him to leave this career. The more investment, the more difficult it is for him to make the decision to leave his career. At the same time, the more alternative choices, the more likely an individual is to leave his original career. On this basis, this paper analyzes the impact of career satisfaction, career investment and the perception of alternative job opportunities on career commitment. And based on the role-playing theory and social exchange theory, the leader-member exchange relationship is introduced as a moderating variable to explore its moderating role in the formation process of career commitment. 
        In the empirical stage, questionnaires are sent out to civil servants in 8 provinces and cities including Beijing, Tianjin, Hebei and Guangdong. And the validity rate of the questionnaire reached the general standard. The reliability,validity analysis and common method deviation test of the data were carried out, and the analysis of variance and structural equation model test were carried out by software such as AMOS and SPSS. Through the analysis of 462 valid samples, the structural equation model (SEM) test results show that the investment model can explain the career commitment of civil servants and its formation process. Career satisfaction and career investment have a significant positive impact on career commitment; the perception of alternative job opportunities has a significant negative impact on career commitment; leader-member exchange relationship plays a moderating role in the impact of career investment on career commitment. The impact of career investment on career commitment of individuals with "high quality" leader-member exchange relationship is stronger than that of individuals with "low quality" leader-member exchange relationship.
         According to the conclusion of the analysis, combined with the social background and the current situation of the construction of civil servants, this paper puts forward the following countermeasures and suggestions to enhance the career commitment of civil servants. First, increase the stickiness between civil servants and their professions. Second, understand individual needs and improve career satisfaction. Third, establish and improve the performance appraisal system and reward and punishment mechanism. Fourth, improve the leadership ability, and enhance the exchange relationship of leadership members. 
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    A study of risk sharing in PPP projects from the perspective of incomplete information——A case study based on different bidding orders of participants
    Li Yan, Xue Jian
    2021, 42(6): 202-208. 
    Abstract ( 187 )  
        At present Chinese PPP mode has entered a new "Normative development era", and is meeting the new opportunities and challenges in the aspects of the people′s livelihood, such as ecological environment protection and poverty alleviation. However, PPP projects contain complex risk factors. Therefore, effective risk sharing is the key to guarantee the smooth implementation of PPP projects. Government department generally thought that PPP mode can shift more risk to the project company, bank and other private sector. Then private sectors tend to take more risk in order to obtain the advantage position in franchise bidding process. But some risks may be beyond control or private sector management cost is larger, and a chain effect of risk exposure will lead to the failure of PPP mode.
        The paper has two research features. First, the paper studies the game process of PPP projects among government departments, companies and banks. Previous literatures paid more attention on risk sharing game between two sectors (government sector and private sector). Second, in the process of constructing the dynamic game model, it analyzes the results of risk sharing ratios considering the participants′ different bid orders. It may be helpful for the participants to put forward a more reasonable negotiation price in the negotiation process based on factors such as negotiating loss factor and transferring share.
         This paper uses bargaining game theory under incomplete information, considering different bid orders of government departments, companies and banks in the game process of PPP projects. It respectively constructs the risk sharing models between the government and the "weak alliance", and risk sharing models in an alliance. Then the balanced risk allocation proportions of the three sides are obtained. Finally, the game model is verified based on related parameter values of deterrence and disturbed ability using the method of Delphi expert survey. 
        Based on the results of game models,the conclusions and theoretical and practical significance are as follows.Firstly, there is a "first-mover advantage" in the process of risk sharing game among the participants of PPP projects, and the risk proportion of the players in the situation of bidding first is lower than that in the case of bidding later. Secondly, when this party has weaker perturbation ability and the other party has stronger deterrent ability, this party will have higher negotiation loss coefficient. In order to avoid more time and energy costs, the negotiation should be concluded as soon as possible. Thirdly, the actual risk sharing proportions of participators in the process of risk sharing depend on negotiations loss coefficients. In the process of contract negotiations, three parties can make negotiation decision and put forward a reasonable price, after predicting the transfer risk share due to government′ authority and the public interest protection.
        Research conclusion can effectively promote the cultivation of rational behavior and caution concept of PPP projects′ participants. The PPP project risk allocation proportion can be regarded as benchmark contract negotiations. Then the parties obtain fair and reasonable rights, obligations and risk responsibility. And for PPP participants,it may help to effectively shorten the negotiations time, reduce the cost of risk management and provide policy suggestions to ensure PPP smooth operation. 
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