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    20 June 2019, Volume 40 Issue 6 Previous Issue    Next Issue

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    A review of Chinese enterprises’ innovation in the past 40 years
    Li Yuan, Wei Zelong
    2019, 40(6): 1-8. 
    Abstract ( 248 )  
     Innovation have been the central approach for economic transition in China. Essentially, innovation approach is a system transformation process, which bears typical path dependency characteristics. This paper aims to give some suggestions on directions, approaches of future innovation, and also the formulation of government policy base on the review on Chinese firms’ innovation history in the past 40 years. First, this paper offered an overall judgment on characteristics of innovation experience in the past 40 years. Second, this paper distinguished the past 40 years into 4 stages and summarized crucial concerns, achievements, and policy directions at each stage. Third, this paper offered new implications for future innovation trends and also academic research.This research argues that: first, although innovation capability has been largely improved, there is still big gap to compete with international leader firms. Especially, Chinese firms need to improve technological capability in core technological fields. China is standing on the turning point from factor-driven economy to innovation-driven economy, because core technology innovation is still not the main reason of Chinese firms’ business success. China should rely on unique institutional to build endogenous innovation ecosystem to support core innovation.Second, the past 40 years covers 4 typical stages. At the first stage from 1978 to 1998, effort to reduce shortage was the central subject. At this stage, the main innovation activities centered on reforms of institutions and policy in planned economy to improve production efficiency. There was little academic research in China. Chinese researchers aimed to learn innovation methods and theories from foreign researchers.At the second stage from 1989 to 1998, absorption and improvement was the main target. Firms relied on cost advantage to exchange for investments and technologies from advanced countries. China started to promote high-technology innovation and speed institutional innovation step by step. In academic research aspect, innovation got its central research status along with scaling of market oriented innovation. Especially, form innovation emerged from previous informal investigations on innovation activities.At the third stage from 1999 to 2008, intensive attention was attached to exploratory innovation for catching up. At this stage, along with the permission of WOT and also the fit reform in financing fields, the openness of market inspired firms to invest more in innovation to do business in international market. A great number of firms moved from low value chain to high value chain based on innovation capability. Along with this progress, previous innovation mode based on absorptive process turned out be too weak to support competitive advantage of Chinese firms. To build solid competitive advantage, firms set urgent demand on endogenous innovation. Therefore, endogenous innovation became the hottest topic in academic research field. At the fourth stage from 2009 to 2018, we name it as stage of innovation accelerating and breakthrough.At this stage, core technology innovation attracted heavy attention from the whole society. More importantly, the interaction of business model innovation and technological innovation guides our eyes to innovation ecosystem. Academic research attached more attention to innovation ecosystem, the interaction of business model innovation and technological innovation, and the approach for core technological breakthrough. More importantly, digital innovation as innovation activity has attracted attention from researchers at all over the world.Finally, based on review on innovation history in the past 40 years, future innovation activities in China will bear new characteristics in new times: combination of various innovations enabled by innovation ecosystem. The innovation scope will turn from one signal product to the whole innovation ecosystem. Innovation target will turn from physical product to the interaction between physical product and information. The innovation will bear multiple and customized value dimensions. In new times, firms should rely on innovation ecosystem to promote innovation performance. In term of innovation directions, firms should rely on domestic demand to foster new industry. We need to build an inimitable innovation ecosystem embedded in unique Chinese culture and government-enterprise relationship. Centering on new innovation demand, the future academic research should attach more attention to the inherent unique characteristics of innovation in China, and also the theory on innovation ecosystem construction and evolution.
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    An evaluation of the impact of comprehensive innovation reform trial policies based on big-data analysis
    Wang Huizhong, Wang Hongbing, Fan Yonggang
    2019, 40(6): 43-54. 
    Abstract ( 253 )  
    The Comprehensive Innovation Reform Experiment (hereinafter referred to as the Experiment) is a key measure to implement the National Innovation Development Strategy at regional level, and an innovation policy shift with Chinese characteristics which representing the future trends of innovation policies. Conducting proper policy evaluation of the Experiment is of great significance for improving policy-making and implementation processes and guaranteeing that the Experiment is implemented as expected. However, due to policy system complexity and policy document accessibility issues, the Experiment is facing challenges like that theoretical research lagging behind policy practices and policy practices lacking support from theoretical research. Besides, traditional evaluation theories and practices which focus on pre-policy evaluation and post-policy evaluation are unable to meet the demands of policy evaluation of the Experiment, which requires timely feedback to monitoring the reform process and its impact, and correct the experiment mechanism accordingly. Therefore, there is an urgent need of developing an evaluation method targeting this complex innovation policy system. Based on policy characteristics and evaluation requirement analysis of the Experiment, this article develops anindirect policy evaluation method by introducing the emerging big-data analysis tools. By collecting public opinion information on the Experiment from its stakeholders, mainly the media and the public, identifying the rules and characteristics of information communication and analyzing opinion focuses, this article comes up with fact-based evaluation evidences to decision makers. This paper collects 264,918 data sets from websites, Wechat, Weibo, forums, newspapers, blogs, videos and some other communication channels. By using data mining, network association analysis, clustering analysis and other methods, this paper systematically analyses hot topics of media and the public opinions related to the Experiment, from perspectives of time, space, content and other dimensions, to grasp the characteristics and problems of the Experiment.By means of big data analysis, this paper comes up with some interesting findings about the public opinions and its communication rules as well as policy implications about the Comprehensive Innovation Reform Experiment. Firstly, official media are the main force of information dissemination in the Experiment. In the early stage of theExperiment, the state-level news media paid close attention to it and played a key role in the information dissemination of the Experiment. Local media at all levels are also very active, especially official media in the eight pilot areas, actively reporting on the reform process and reform initiatives. However, in general, the form of policy information dissemination is relatively single, and many media are just forward relevant news and reports by means of ‘template’, lacking in-depth focused analysis. Moreover, with the advance of the reform experiment, the attention of the mainstream media declined and insufficient attention were paid to the Experiment.Secondly, there are great differences inpublic attention among 8 pilot regions. Beijing-Tianjin-Hebei region, especially Beijing, has a very high hotspot of online reports, which is closely related to its role as national political center and large amount of active netizens in Beijing. As to the data of social media platforms such as Weibo and Wechat, the participation of netizens in Sichuan is the highest. In contrast, other reform pilot regions pay less attention. Although Zhejiang and Jiangsu are not official experimental regions, due to their economic development status and active reform atmosphere, netizens in these two provinces also have a high degree of concern for the Experiment.Thirdly,public opinions focus on people’s livelihood policies and measures in the Experiment. The Experiment involves almost all aspects of innovation and development policies. Many reform initiatives, such as transforming government authorities and functions to the public, are directly related to the vital interests of the public. Social media platforms provide channels for timely feedback of public opinions and suggestions on the Experiment, and for the interaction between policy subjects and policy objects. The analysis found that netizens generally supported and affirmed the Experiment, hoped to have a deep understanding of the relevant measures through the Internet, and some netizens expressed their expectations of bringing better livelihood from reform.Fourthly, the public opinion hotspots fit well with the reform orientation of the eight pilot regions raised by the central government, which suggests that network communication plays a vital role in guiding public opinions. The central government documents put forward different positioning requirements for the eight pilot regions, such as the Beijing-Tianjin-Hebei region focusing on cross regional coordinated development, Shanghai focusing on the construction of a science, technology and innovation center with global influence, and Guangdong Province focusing on deepening innovation cooperation among Guangdong, Hong Kong and Macao. According to the results of large-scale data analysis, the relevant news, reports and media discussion contents of public opinion in eight regions are closely related to their reform orientation, accurately publicizing and reporting the key points of their Reform Experiments in various regions, and playing an active role in guiding public opinion.At last but not at least, this paper puts forwards some recommendations tostrengthen propaganda and public opinion guidance, and to expand the policy impact of the Experiments in the future based on big data analysis. First, the relevant departments should strengthen cooperation with the media, continue to pay attention to and report on the reform process, and expand the policy impact of comprehensive innovation. Secondly, it is suggested to organize experts and scholars to promote and analysis key reform policies and measures, so as to enhance the public awareness of the Reform and expand the audience and influence of pilot policies. Thirdly, it is suggested that we should make good use of self-Media channels, participate in discussions through various forms, timely publish the progress and trends of reform, collect the public’s reform needs and concerns, and make the reform experiment not only a government endeavor, but also widely involvement and participation of the public, so as to create a favorable atmosphere of public opinion for the reform.The big data analysis method, which has a large sample size and is not affected by the government officials and the questionnaire respondents, can represent the public’s views on the Experiment relatively independently and objectively. However, due to the influence of analysis methods, data disclosure channels and data quality, it is impossible to accurately identify the policy demands of the public and to evaluate the policy implementation status by this method alone. It can only reflect the characteristics of information dissemination and the focuses of public attention from a macro trend perspective. Considering the difficulty of access to official policy documents and direct investigation to the policy audiences, this method can help to indirectly understand the public’s opinions and concerns, and to help policy makers optimize and improve the Experiment to some extent.
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    A study on the balance and complementary effects between local and non-local research collaboration of firms
    Sun Yutao, Zhang Bo
    2019, 40(6): 55-64. 
    Abstract ( 158 )  
    With the fierce competence and rapid development of globalization, the ability of innovation has been the important way to acquire competitive advantages for firms. Firms can share and interact knowledge to foster innovation through research collaboration among firms. More precisely, firms can acquire similar knowledge because of geographical proximity which will help firms increase the quantity of innovation; while they also will obtain diverse knowledge by collaborating with non-local partners which can be good for the quality of innovation. Then, in the context of resource limitation, how firms should deal with the relationship between local collaboration and non-local collaboration to maximize their innovation is a key for promotion of competition ability. From the perspective of organizational ambidexterity, local andnon-local collaboration have become an important way to realize innovation of exploitation and exploration. There have been lots of studies on research collaboration, but how firms deal with the relationship between local and non-local collaboration has not been well answered. Firstly, it has been generally agreed that both local and non-local collaboration are conducive to innovation of firms. However, which kind of relationship is more beneficial to firms, balance, complementation, or both? Secondly, are there other factors which can exert an effect on the relationship between collaboration and innovation besides the absorptive capacity and technological diversity? Therefore, according to the perspective of knowledge search and organizational ambidexterity, this paper develops and tests theoretical hypotheses on the balance and complementation between local and non-local research collaboration and its impacts on innovation, as well as the moderating effect of firm size through using negative binomial regression models with a longitudinal panel dataset involving listed firms in electric vehicle industry. This paper defined and explained the relevant concepts about collaboration at first. The complementation between local andnon-local collaboration refers to the complementary relationship between two kinds of collaborative behaviors, that is, not only the pursuit of single collaborative behavior, but through the mutual promotion of two collaborative behaviors to promote the innovation output of firms. And the balance of local and non-local collaboration refers to the behavior of pursuing local and non-local collaboration and requiring two kinds of knowledge at the same time. It focuses on the trade-off to find the most appropriate balance between the two. Besides, firm size is strongly indicative of the resources it possesses at its immediate disposal. This paper mainly focused on how firm size moderates the relationship between the balance and complementation of local and non-local collaboration and firms’ innovation.Then this paper proposed the following hypotheses: H1a: The complementary relationship between local andnon-local collaboration is positively related to innovation of a focal firm. H1b: The balance between local and non-local collaboration is negatively related to the innovation of a focal firm. H1c: High levels of both balance and complementation synergistically lead to better innovation of a focal firm. H2a: The focal firm’s size moderates the relationship between the complementation of local and non-local collaboration and a focal firm’s innovation negatively. H2b: The focal firm’s size moderates the relationship between the balance of local and non-local collaboration and a focal firm’s innovation negatively. To test these theoretical hypotheses, this paper has taken 176 listed companies in electric vehicle industry as samples, studying the relationship between local andnon-local collaboration and innovation of firms. The patent data are from U.S. Patent and Trademark Office (USPTO) and Japan and Europe invention patents from Innojoy, and the financial data including R&D expenditure, net turnover, total assets and other indicators were obtained through the Compustat database and the official corporate websites. As it is difficult to obtain data of some listed firms for ten consecutive years, there are a number of missing observations. Therefore, non-equilibrium panel data regression model is adopted in the paper. Since the dependent variables are discrete non-negative integers, the counting model is used. As the variance is much larger than the mean in these two models, the negative binomial regression model is used to test the hypotheses.Focusing on firm collaborative behavior, this article has unpacked how two kinds of different dimensions of collaboration between firms: collaboration balance and collaboration complementation affect innovation of the focal firm from the perspective of knowledge search. In addition, the study also proposed the joint effect of collaboration balance and collaboration complementation and the moderating effect of firm size, making the following theoretical contributions and practical implications.Firstly, our results document a positive relationship between the complementation of local collaboration andnon-local collaboration and innovation of the focal firm, while the balance of local collaboration and non-local collaboration exerts a negative influence on firm’ innovation. And there is a jointly positive effect between collaboration balance and complementation on innovation. In addition, local collaboration and non-local collaboration of firms both affect innovation positively and significantly, which are consistent with the existing conclusion. Specifically, local and non-local collaboration can complement each other and achieve complementary effects, which are conducive to the innovation of firms. Meanwhile, the study also finds that the collaboration balance and collaboration complementation can generate synergistic effect, which will foster innovation. Therefore, firms should pursue not only local collaboration but also non-local collaboration, but don’t need to achieve absolute balance between them. It is important for the managers in resource-constrained contexts to be aware that an effective innovation strategy need to be combined with firm’s own knowledge base and absorption ability.Secondly, the scale of firm plays different roles in the relationship between collaboration and innovation. To large firms that possess lots of resources, the complementary effect of local collaboration andnon-local collaboration has a decreasing scale effect, which is not conducive to increasing innovation. However, the balance between local collaboration and non-local collaboration won’t be limited by resources. Small firms, with fewer resources, present the opposite result to large firms. Therefore, small firms need to attach importance to the complementation of local and non-local collaboration and mainly rely on one of them to foster innovation. Large firms need to give full play to the collaboration balance effect and realize the synergistic effect between balance and complementation.
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    Influence mechanism of basic research on technological innovation: An empirical study of the power battery
    Cai Yongfeng, Li Xianjun, Meng Donghui
    2019, 40(6): 65-76. 
    Abstract ( 220 )  

    In the field of technological innovation, the relationship between basic research and technological innovation has been the topic of focus by scholars. Since the start of the scholars represented by Narin based on patents and papers to explore the relationship between basic research and technological innovation, many scholars have proved this method is scientific and feasible, and there are a lot of scholars to follow, also taking patents and papers to explore the relationship between basic research and technological innovation in different industries. While existing literature studying the influence of basic research on technological innovation with the help of patents and their citations mostly make a simple descriptive analysis through indexes such as scientific correlation degree, citation delay and so on, which lacks the discussion of patent value and makes it difficult to systematically explain the mechanism of basic research on technological innovation. In addition, when studying the relationship between basic research and technological innovation, existingliterature mostly choose biology, chemistry, general energy and other fields as research objects, and pay insufficient attention to the most important emerging field of power battery. In different technical fields, the influence mechanism of basic research on technological innovation is obviously different. The existing theories and a few literature using the power battery patent to explore the law of technology innovation cannot explain the basic research of power battery and the in-depth mechanism of technology innovation. So this paper selects power battery as the research object to explore the basic research’s influence mechanism on technological innovation, on the one hand, enrich the existing theory of relationship between basic research and technological innovation, on the other hand made clear global power battery basic research’s influence mechanism on technological innovation, speed up the transformation of global power battery innovation achievements, promote the development of power battery industry.. Based on the patent database of Derwent Innovation Index (DII), a total of 13,853 DPCI (Derwent Patents Citation Index, DPCI) Patents of fuel cell, 6,026 DPCI Patents of lithium battery,459 DPCI Patents of Ni-MH battery, and a total of 20,338 Patents have been obtained. Descriptive analysis, correlation analysis and multi-collinearity test of data were completed by STATA15.0 .Tobit regression analysis is used to explore the mechanism of basic research's role in technological innovation.After the Tobit regression analysis of full sample and sub-sample, the results show that :(1) on the whole, power battery basic research has a significant role in promoting technological innovation. Studies in different technical fields have found that fuel cell and lithium battery basic research have a significant role in promoting technological innovation, while Ni-MH battery does not. (2) on the whole, the promotion effect of power battery basic research on technological innovation does not change significantly with time. Studies in different technical fields have found that the promotion effect of lithium battery basic research on technological innovation changes significantly with time, and the promotion degree decreases year by year, while fuel cell and Ni-MH battery are not significant. According to the theory of technology life cycle, the analysis found that, based on carrying three kinds of power battery production models of time to determine its technology development phase, from 1995 to 2014, the amount of Ni-MH power battery technology is in the middle and later periods of the life cycle of (Toyota has launched the first generation of Prius in 1997), lithium power battery technology through the development of later period before leaders (electric cars BYD and Tesla were around 2010 launch production models), fuel power battery technology in the initial stage (Toyota to release in 2014 the world's first production fuel cell car Mirai). At the same time, combined with the Tobit regression analysis results, we found that in the field of power batteries, the promotion effect of basic research on technological innovation is strongest in the early stage of technological development, then gradually decreases, and lowest in the later stage of technological development.To summarize, this paper enriches the existing research on the interaction between basic research and technological innovation and is of guiding significance to the cooperation between industry, university and research institute of power battery and the government's formulation of innovative development policies for the power battery industry.To be specific, first, for enterprises, power battery enterprises should attach importance to investment in basic research, and learning knowledge from the scientific source is conducive to improving technological innovation ability. For example, in order to acquire scientific knowledge, enterprises can, on the one hand, increase investment in basic research and development to generate scientific knowledge internally; on the other hand, enterprises can obtain scientific knowledge externally through project cooperation with universities and colleges, so as to facilitate the output of high-quality technological innovation achievements. As fuel cell technology is still in the early stage of development compared with lithium battery and Ni-MH battery, fuel cell enterprises need to pay more attention to basic research. They can increase their investment in basic research and development or cooperate with universities to avoid the shortcomings of basic theory in technology research and development.Second, for the government, when supporting the development of the power battery industry, the government should formulate targeted support policies according to different periods of technological development. Technology faces different problems and needs different policy support in different periods of development. Targeted policies by the government can effectively prevent the waste of resources and effectively promote the development of technology. For fuel cells in the early stage of development, government should focus on supporting basic research, and resources should be more concentrated in universities and research institutions to promote breakthroughs in basic theories and promote technological innovation from the source. For the lithium battery in the middle and late stage, more policies should be made to promote the industrialization of technology, including strengthening the industry-university-research cooperation to promote the industrialization of technology application, the establishment of lithium battery vehicle test run park and so on; For Ni-MH batteries in the late stage of development with uncertain prospects, resource skew can be reduced appropriately.

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    Effects of “business tax replaced with VAT” policy on innovation investment of firms:A PSM-DID approach
    Shao Yuexin, Chen Shouming, Wang Jian
    2019, 40(6): 77-85. 
    Abstract ( 252 )  
    Does the "Business Tax Replaced with VAT" policy enhance the innovative investment of the firms? Extant research provides mixed results. It has been widely believed in the literature that there is indeed a correlation between the "Business Tax Replaced with VAT" policy and corporate innovation. However, from the research theme, most of the existing research focuses on the effect of "Business Tax Replaced with VAT" policy on business performance, and few literature pay attention to its relationship with corporate innovation behavior. In the results of the research, the previous research did not solve the endogenous problem, and it is still inconclusive whether the "Business Tax Replaced with VAT" policy has suppressed or promoted the level of innovation investment.In view of this, this paper intends to extend the scope of research to the relationship between the "business reform and reform" policy and the innovation behavior of all service enterprises, and empirically test the impact of the "business reform" policy on the level of innovation investment.Starting from January 1, 2012, the"Business Tax Replaced with VAT" policy owns the characteristics of pilot experiments conducted in batches and batches, and is in line with the conditions for policy analysis using the dual difference method. The data from the A-share listed service companies of the Shanghai and Shenzhen Stock Exchanges from 2008 to 2014 were used as empirical samples, excluding ST, ST* and missing important information. All data is from CSMAR. The company's asset size, operating capacity, growth capacity, age of listing, nature of ownership and whether it belongs to high-tech enterprises are the control variables of this paper. They are divided into treated group and control group. This paper adopts whether or not it belongs to the target enterprises of the"Business Tax Replaced with VAT" policy in other pilot cities except Shanghai in 2013, and assigns treated = 1 to all Beijing Municipalities that were included in the "Business Tax Replaced with VAT" policy target in 2013. Pilot enterprises in Jiangsu Province, Anhui Province, Fujian Province, Guangdong Province, Tianjin City, Zhejiang Province and Hubei Province formed a treatment group. The August 1st, 2013 is used as the segmentation node of the experimental period and the non-experimental period, that is, the "Business Tax Replaced with VAT" policy is changed from the pilot of some provinces and cities to the time of promotion throughout the country. Time = 0 is in the non-experimental period, and time = 1 is in the experimental period. The control variables in this paper,including asset size, operating capacity, growth ability, age of listing, nature of ownership and whether it belongs to high-tech enterprises, are also the propensity matching covariates used for PSM-DID, which makes the above-mentioned treated group sample individuals and control groups The basis for the one-to-one exact match of the sample individuals. The covariate balance of the participation tendency matching scores was examined, and the results showed that the coefficients of enterprise scale, high-tech and enterprise listing years in the covariate are -0.131、6.41、2.206、-0.053 and significant at the level of 0.05, indicating that the covariation vector can be used for the weight calculation of the propensity score matching.In the correlation test, the correlation coefficient between the main control variables used in this paper and the dependent variable named enterprise innovation is tested. The main control variables selected in this paper and the enterprise logarithm with the natural logarithm of R&D investment as one year behind are the enterprise innovations. The correlation between them is high andit can play a controlling role. In the descriptive statistics of each variable, the standard deviation of R&D input was 3.721, indicating a large difference between individual samples. There is a big difference between the business growth rate, the maximum and minimum extremes between the ROA and the company's listing period, which indicates that it is necessary to use the PSM method for control. Regression analysis was performed using DID and PSM-DID respectively. The results showed that the coefficient of the intersection term was 0.077, which was not significant at the significance level of 0.05. In other words, the "Business Tax Replaced with VAT" policy has no significant impact on the R&D investment of related companies. After relaxing the same variance hypothesis, the coefficient of the intersection term is still 0.077, which is not significant at the significance level of 0.05. In the regression results of these models, whether the coefficient of the experimental period (Time) is 1.376, the coefficient of enterprise nature (SOE) is 1.196, and the coefficient of high-tech (TECH) is 3.679. They are significant at the level of significance of 0.01, indicating that the level of innovation behavior of enterprises in the experimental data is higher than that of non-experimental enterprises, and the level of innovation behavior of state-owned enterprises and high-tech enterprises is also higher than that of private enterprises and non-high-tech enterprises. The coefficient of enterprise size (Lnsize) is 0.41 and is significantly positive, indicating that the enterprise innovation investment of large enterprises is higher than that of small and micro enterprises. The company's growth ability (GROWTH) and enterprise listing (IPOAGE) factors are -0.001 and -0.062 respectively, which are consistently significant, indicating that companies with higher operating profit growth rates and companies with longer listings have relatively lower levels of innovation input. The time effect is further fixed, and the coefficient of the intersection term is 0.267, which is still not significant at the significance level of 0.05, indicating that the coefficient results of the two insignificant positive are stable in different methods and different hypotheses. Therefore, the implementation of the "Business Tax Replaced with VAT" policy has a positive and insignificant impact on corporate innovation behavior, and this conclusion is relatively credible.The paper further believes that the possible reason for the above results is that the "Business Tax Replaced with VAT" policy itself has an overall positive impact on corporate innovation. However, due to the uncertainty in the initial stage of the policy, the company’s return on investment in innovation is temporarily suppressed. This has caused related companies to hold a wait-and-see attitude during this period. This conclusion reveals that it is necessary to introduce a series of relevant incentive policies to reduce information asymmetry in the initial stage of policy implementation. The government should reasonably and appropriately regulate the expectations of enterprises for future innovation returns, so that the positive effects of policies can be implied more smoothly.
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    Can internal control promote the innovation performance of enterprises?
    Li Yingmei, Shi Qi
    2019, 40(6): 86-99. 
    Abstract ( 423 )  
     As the primary force of driving development, innovation has always been highly valued by the government and the people. Innovation is a dynamic process, which can not only bring vitality to the enterprise and improve its competitiveness, but also bring risks and uncertainties to its production and operation. Because of the duality of this process,plus the risk preference, opportunism, agency problems and information asymmetry, the innovative resources of the enterprise cannot be fully utilized and thus have a certain impact on its innovation performance.Internal control is the sum of a series of management activities and a dynamic management activity itself which constantly evolves. Recent years have witnessed the breakthroughs that China has achieved in its research on internal control, specifically in the fields of accounting, auditing and corporate strategic management. As a vital internal governance mechanism in modern enterprises, internal control has been generally acknowledged to play an important role in protecting the healthy operation of companies and the stable development of capital market. Internal control can reduce the inefficiency caused by information asymmetry and principal-agent problems in the enterprise′s R&D activities, and improve the level and efficiency of innovation investment.Developing innovation and improving innovation performance have been part of the enterprise′s strategic goals. Internal control is a vital internal governance mechanism for modern enterprises, and is also essential to the realization of their strategic goals.Therefore,issues of allowing internal control to function effectively, increasing the enterprise′s R&D investment and innovation ability, improving its innovation performance and maximizing its value, thus promoting the national economic growth, have been common concerns among scholars. Innovation is part of the enterprise′s strategic goals, and internal control is essential to the realization of those goals and closely related to the enterprise′s innovation performance. The current research has rarely covered such topics as how the quality of internal control impacts the enterprise′s innovation performance and the extent of this impact.Hence, we propose the following three hypotheses: H1: By controlling other factors, internal control has a positive effect on the enterprise′s innovation performance; H2: By controlling other factors, the innovation performances of non-state-owned enterprises are better than those of state-owned enterprises; and H3: Internal control plays a more important role in promoting the innovation performances of non-state-owned enterprises than those of state-owned enterprises. Based on the sample data of listed companies on the A-share Main Board of Shanghai and Shenzhen Stock Exchanges from 2012 to 2016, this paper conducts an empirical study on whether the quality of the enterprise′s internal control has a significant impact on its innovation performance, and further analyzes whether internal control quality of enterprises of different property rights has different amount of influence on the enterprise′s innovation performance, and analyzes the reasons for those differences based on the theory of modern property rights. We choose R&D investment as the dependent variable to measure the enterprise′s innovation performance, internal control index issued by Shenzhen DiBo Risk Management Limited Company as the independent variable, virtual variable 1,0 as state-owned enterprises and non-state-owned enterprises respectively, and asset return rate (ROA), firm age (FIRMAGE), shareholder ownership ratio (SHAREHOLD), enterprise size (SIZE), executive compensation (SALARY) as control variables. We make regression analysis respectively between internal control and innovation performance, property right nature and innovation performance. Besides, we use property right nature as adjustment variable to explore whether property right nature has an impact on internal control and performance. Referring to other scholars′ research, we make descriptive statistics for both total sample variables and group samples of state-owned enterprises and non-state-owned enterprises. We find that the quality of internal control has a significantly positive impact on the enterprise′s innovation performance; the innovation performances of non-state-owned enterprises are better than those of state-owned enterprises; furthermore, the nature of property rights, as an adjustment variable, affects the role of internal control in promoting the enterprise′s innovation performance. Compared with state-owned enterprises,the quality of internal control of non-state-owned enterprises promotes innovation performance more significantly.In order to prove the accuracy of the conclusions, we classify all the samples based on their industries, and select manufacturing industry, the most representative sample, to explore the relationship between internal control and the enterprise′s innovation performance and the role of property rights in adjusting the two, and we draw the same conclusions.As the nation′s leaders of innovation driving development, manufacturing enterprises should increase their investment in innovation, enhance their independent innovation capabilities,make full use of the preferential policies introduced by the government, and increase the level of internal control. From the perspective of internal control, this paper provides solutions for different ownership enterprises to efficient R&D investment, overall improvement of China′s innovation capabilities and the enterprise′s innovation performance.According to empirical analysis and research conclusions, we give the following suggestions: (1) Improve the internal control mechanism and allow internal control to play its part in the enterprise′s innovation performance as well as its survival and development. (2) Expand the scope of compulsory implementation of internal control, especially in non-state-owned enterprises so as to improve their innovation performances. (3) Promote the reform of state-owned enterprises, reduce agency costs and owner vacancy, and improve the property rights system of modern enterprises, so that state-owned enterprises and non-state-owned enterprises can develop together.This research enriches the studies on the economic consequences of internal control and the factors affecting innovation performance, and makes up the deficiency of research about the impact of internal control on innovationperformance.At the same time, it provides decision-making basis for enterprises of different property rights to implement and promote internal control comprehensively, and decision-making references for them to explore innovation performance from the perspective of internal control. The results of this research have important theoretical significance and practical guidance value.
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    A review on the international research frontier and development status of science and technology evaluation industry
    Chi Jingru, Tao Rui, Li Ting
    2019, 40(6): 276-284. 
    Abstract ( 240 )  
     In recent years, Chinese government has paid more attention on science and technology evaluation. Important policies such as Working Regulations on Science and Technology Evaluation have been issued. The quantity of science and technology evaluation research and practice is increased substantially. The number of evaluation institutions and evaluators has continued to grow, and new evaluation directions have emerged constantly. China’s science and technology evaluation industry is experiencing a period of rapid development. However, the evaluation industry also faces many problems, such as misleading of orientation, inadequate capacity and so on. The reform of science and technology evaluation industry is imperative. What to be reformed and how to reform are questions that need to be answered. Evaluation industry has been a mature industry in many countries, where it has experienced the development stages of exploration, institutionalization and professionalization. There are many experience and lessons worth to be learned from foreign countries. Tracking the international research frontiers of evaluation and understanding the development trends of international evaluation community will help us better examine the status of Chinas science and technology evaluation industry, clarify the direction of reform, and further guide the evaluation research and practice.Chinese scholars have introduced some foreign experience on science and technology evaluation from different perspectives, including the evaluation methods, the application of evaluation results, evaluation process and organization, construction of evaluation system, the evaluation objects, and the evaluation of science and technology achievements, etc. These are of reference value to the construction of China’s science and technology evaluation industry, but are still limited and can neither reflect the overall development trends in global evaluation community, nor the evaluation hotspots and activity level. This study selects four academic journals about evaluation worldwide. These are Evaluation, American Journal of Evaluation, New Directions for Evaluation and Research Evaluation. The papers published on these four journals from 2014 to 2016 are collected and studied. Statistics and analysis are made on keywords, countries, institutions, citations, etc., with the aim to present and interpret the international research frontier and development trend in both the area of evaluation, as well as the science and technology evaluation globally. There are two limitations of our study. One is that the four selected journals are typical evaluation journals, but could not cover all of the papers published worldwide in the evaluation area, while the other is the statistic data of 2014-2016 can reveal some recent trends in the evaluation area, but cannot reflect the long-term trends in this area. The study found that, from 2014 to 2016, 396 academic papers were published on four journals. European and American countries have important influence and activity level in evaluation area. The United States publishes the most papers in the field of evaluation and is far more active than other countries. In the area of science and technology evaluation, the Netherlands and Spain published the most papers. Evaluation in UK, Canada, Italy and Germany are also active. China is not active in international evaluation community, with fewer papers published.Professional evaluation institutions in foreign countries are diversified, including universities, research institutions, think tanks, enterprises and other types. Leiden University in the Netherlands has become the most active evaluation institution worldwide. Arhus University in Denmark, Polytechnic University of Valencia in Spain and Michigan State University in the United States are also very active. Active evaluation institutions are concentrated in the United States mostly. From 2014 to 2016, in the evaluation area, evaluation practice is the most frequent keyword, and impact assessment, evaluation theory, program evaluation, evaluation research appear frequently, which show the research hotspots in recent years. In the area of science and technology evaluation, 353 keywords are present, among which research evaluation has the highest frequency, and bibliometrics, peer review, indicators and web of science have higher frequency. All the papers are classified into 15 evaluation issues. Among them, the papers related to impact assessment are accounting for the largest number, and other hot issues include bibliometrics, evaluation research and research funds evaluation. Based on keyword analysis and evaluation issue analysis, it is found that bibliometrics is still the research hotspot in science and technology evaluation area, and impact assessment has become the most concentrated research direction. The evaluation papers published present the feature of close integration of theory and practice. In addition, it is an important experience of foreign country to promote the development of evaluation industry through evaluation association and professional journals. Comparatively, there are following problems in Chinas science and technology evaluation industry. First, the evaluation practice is not active enough and the evaluation results are less open, which to some extent affects the international exchange of Chinese evaluators. Second, Chinas evaluation institutions have developed rapidly in recent years, but not as diversified as the foreign country, their capacity and demand are unbalanced. Third, the theoretical research and practical work of evaluation are somewhat separated. The evaluation theory and common issues with Chinese characteristics are not paid enough attentions by Chinas evaluation community. Fourth, the development of science and technology evaluation industry is out of order to some degree, lack of orientation and capacity building. Fifth, there are no professional journals for science and technology evaluation in China. Evaluation accomplishment are often published on the journals belong to the field of science and technology management, information science and policy science, with the problems of low acceptance rate and lack of professionalism.Based on the statistics and analysis, some suggestions are raised. Firstly, international exchange should be strengthened among Chinese evaluators, so as to enhance the international influence and recognition of Chinas evaluation activities. Secondly, diversified evaluation institutions should be supported, and develop professionally. Thirdly, according to the needs of Chinas evaluation development, more research tracking the international frontier should be conducted, some ideas and methods could be drawn from foreign countries, and provide reference for our own evaluation practice. Fourthly, more attentions should be paid to the theory innovation and methods exploration of evaluation with Chinese characteristics, improving the openness of public investment evaluation activities, trying to apply more methods into evaluation practice, and promote the improvement of both evaluation theory and practice in China. Fifthly, to establish the China science and technology evaluation association, better directing the development of industry, and qualifying the evaluators, strengthening capacity-building in an organized manner. To establish professional evaluation journals, providing communication platforms for evaluation research and practice, encouraging the exchanges among evaluators.
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    A brief analysis of the construction of scientific research management team
    Ge Lei
    2019, 40(6): 285-288. 
    Abstract ( 286 )  
    With the continuous investment of the nation in scientific research, the working mode and focus of scientific research management have changed obviously. Under the new situation, higher and higher requirements have been put forward for scientific research management. Although scientific research management cannot directly determine the depth and innovation degree of scientific research achievements, whether the scientific research work is progressing smoothly, how effective, and whether its results can be produced or not, depends to a large extent on the level of scientific research organization and management. Scientific research management is different from general administration. It is a business management which integrates planning, coordination and service, and it plays a leading, supporting and serving role in scientific research activities.As organizers and service providers of scientific research activities, scientific research managers need not only to be familiar with their business and understand the latest scientific and technological developments, but also to ensure the service of scientific research logistics. To a certain extent, they should play a more guiding and coordinating role. Their quality and working ability directly affect the scientific research management level of their units and scientific research managers should possess the following six basic qualities in order to achieve this goal, improve effectively the scientific research management level of the unit, and then ensure the benign operation of scientific research activities: (1) a positive attitude and meticulous work style; (2) a high level of policy understanding ability; (3) a broad knowledge and self-learning awareness; (4) a good coordination and thinking ability; (5) a strong network information management ability; and (6) a strong sense of service and willingness to be a ladder.The development and construction of scientific research management team requires not only every manager to gradually improve their ideological awareness and modern comprehensive management ability, but also the unit to create space for scientific research management personnel to improve themselves from all aspects.The specific measures are: (1) perfecting the employment mechanism, selecting talents rationally, implementing a combination of full-time and part-time personnel appointment mode, and reducing the mobility of scientific research managers; (2) paying attention to the study and training of scientific research managers, establish the corresponding training system, improve the comprehensive quality of personnel; and (3) introducing the assessment system appropriately, conducting comprehensive and multifaceted assessment, formulating and implementing an effective incentive mechanism.Only by building a high-level scientific research management team, can the important role of scientific research management be fully played in the scientific and technological innovation and talent team building of the unit.
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