Science & Technology Progress and Policy

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Variance Analysis on the Role Identification and Binary Innovation Abilities of Inventor

Rong Xueyun,Yang Zhongkai,Liu Na

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(19): 1-8. https://doi.org/10.6049/kjjbydc.2019100532

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The innovation activities of inventors are embedded in the cooperative innovation network.From the perspective of social capital,four types of inventor roles,including "star"、"hub"、"mediocrity" and "activity" inventors,are identified and defined according to two dimensions of structural capital and cognitive capital.Using the patents authorized in the Derwent Patent Database (DII) in the field of artificial intelligence,the negative binomial model is constructed to compare and analyze the binary innovation abilities of four types of inventors.The results indicate that there is significant difference in the binary innovation abilities of the inventors with different roles.The "star" and "mediocrity" inventors have the highest and lowest binary innovation abilities,respectively.The "activity" inventors have stronger binary innovation abilities than the "hub" inventors,namely,cognitive capital has greater impact on binary innovation than structural capital.Some suggestions are proposed to improve the inventor's binary innovation abilities.

Rong Xueyun,Yang Zhongkai,Liu Na. Variance Analysis on the Role Identification and Binary Innovation Abilities of Inventor[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(19): 1-8., doi: 10.6049/kjjbydc.2019100532.

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Multiple Concurrent Causation and Multiple Paths of Innovative Development of Mass Maker Spaces

Du Baogui,Wang Xin

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(19): 9-16. https://doi.org/10.6049/kjjbydc.2019080238

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Based on Fussy Set of Qualitative Comparative Analysis,the research analyzes influential factors and multiple paths of innovative development of mass maker spaces from internal and external dimensions.It turns out that talent,investment,activity,economy,policy,technology and market are significant factors and that multiple concurrent causation exists.Talent,investment,activity are sufficient but unnecessary conditions.None of the single variances could be necessary conditions,and combination is needed to generate compound effects.There exists five paths to promote innovative development of mass maker spaces,which can be concluded into four models,respectively are internal-factor-driven model,external-factor-driven model,compound-factor-driven model and resource-driven model.

Du Baogui,Wang Xin. Multiple Concurrent Causation and Multiple Paths of Innovative Development of Mass Maker Spaces[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(19): 9-16., doi: 10.6049/kjjbydc.2019080238.

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Meta-analysis of the Relationship between Organizational Learning and Organizational Innovation

Zhang Mengxiao,Gao Liangmou

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(19): 17-23. https://doi.org/10.6049/kjjbydc.2019090052

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This paper uses meta-analysis to accurately estimate the relationship between organizational learning and organizational innovation,and explores the changing laws from the perspective of dimensional differentiation and boundary effect.The results show that:organizational learning is positively correlated with organizational innovation;exploratory/exploitative learning have positive correlation between breakthrough/ incremental innovation,but the relevance of exploratory learning and breakthrough innovation is more close,however,exploitative learning is converse; compared with western culture,mainland culture has a more significant positive impact on the relationship,and as a complete construct,the effect of organizational learning on organizational innovation is greater than that of single dimension,but the degree of regional development and the industry are not significant.

Zhang Mengxiao,Gao Liangmou. Meta-analysis of the Relationship between Organizational Learning and Organizational Innovation[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(19): 17-23., doi: 10.6049/kjjbydc.2019090052.

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An Empirical Analysis of the Impact of Technology Market on Major Scientific and Technological Innovation

Zhang Yaping,Zhu Lu,Hu Lanli

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(19): 24-31. https://doi.org/10.6049/kjjbydc.2019100080

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This paper detects into the impact of technology market on major technological innovation from the perspective of technology output and technology absorption with the provincial panel data from 2006 to 2018.The study found that the impacts of technology output and technology absorption on major technological innovations are heterogeneous,as technology output can significantly promote the improvement of major scientific and technological innovation while the impact of technology absorption on major technological innovations is not significant.Considering there may be endogenous problems in technology output and major technological innovation,this paper selects labor dispute processing volume as a tool variable for regression,and the research shows that the result is stable.In addition,factors such as R&D personnel and R&D input,as well as education level,cause certain limitations in promoting the upgrading of major scientific and technological innovation.Based on this,the research proposes countermeasures to improve the impact of technology market on major scientific and technological innovations.

Zhang Yaping,Zhu Lu,Hu Lanli. An Empirical Analysis of the Impact of Technology Market on Major Scientific and Technological Innovation[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(19): 24-31., doi: 10.6049/kjjbydc.2019100080.

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A Research on Provincial Performance Evaluation of the Technical Task Force Policy in China

Huang Ansheng,Zhu Chunkui,Zhang Yibo

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(19): 32-40. https://doi.org/10.6049/kjjbydc.2020050194

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Several Opinions on Deeply Implementing the Technical Task Force Policy was published by General Office of the State Council of the People's Republic of China in May 2016,but its implementation effect remains to be verified.This paper constructs an evaluation index system,and then uses the improved entropy method and official statistical data to conduct an empirical evaluation of the provincial implementation performance of the Technical Task Force Policy in China,and cluster analysis of the evaluation results.The research shows that the implementation performance level of the Technical Task Force Policy is low in most provinces in China.According to the five performance evaluation dimensions such as the implementation of sci-tech development projects,the formation of community of interests,the situation of serving farmers,the extension of services and the effectiveness of poverty alleviation,31 provinces in mainland China can be divided into five types.Even in regions with high overall performance level,there are some obvious shortcomings in the implementation performance of the Technical Task Force Policy .

Huang Ansheng,Zhu Chunkui,Zhang Yibo. A Research on Provincial Performance Evaluation of the Technical Task Force Policy in China[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(19): 32-40., doi: 10.6049/kjjbydc.2020050194.

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The Extrusion Effect of Regional Innovation Ability in Resource-intensive Areas

Hai Qin,Gao Qijie

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(19): 41-50. https://doi.org/10.6049/kjjbydc.2020040230

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Based on the data at the provincial level from 2001 to 2017,the relationship between regional innovation ability and resource dependence in regional economic development is analyzed through the system GMM estimation method and the impulse response function.The results show that high resource dependence can lead to the decline of regional innovation ability,so the negative extrusion effect exists,and the low regional innovation ability will increase the resource dependence,and there is bidirectional interaction.It is very easy to form a vicious circle.If the resource-intensive areas continue the traditional extensive development,it is difficult to improve the regional innovation ability.The areas will be forced to lock in traditional path dependence,and it's difficult to achieve the sustainable high-quality development of the economy and society.

Hai Qin,Gao Qijie. The Extrusion Effect of Regional Innovation Ability in Resource-intensive Areas[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(19): 41-50., doi: 10.6049/kjjbydc.2020040230.

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Research on Spatial Agglomeration and Correlation of Innovation Output in High-tech Industry

Liu Hedong,Yang Liping

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(19): 51-58. https://doi.org/10.6049/kjjbydc.2020050152

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This paper collects patent applications and related data of innovation output of high-tech industries in 30 provinces and cities in mainland China from 2000 to 2018,and used ArcGIS spatial analysis tool to conduct a visual analysis of their spatial agglomeration characteristics.Using QAP method in network analysis to analyze its key influencing factors finding:①the important feature of spatial agglomeration of high and new technology industry innovation output is regional imbalance,"the Matthew effect" is obvious;②the strong-strong correlation is mainly concentrated in the southeast coastal and parts of the central region,the weak-weak correlation is mainly concentrated in the northern and southwest regions,and the weak-strong and strong-weak correlation is mainly concentrated in a few northern,central and southern regions;③among the factors influencing the spatial agglomeration and correlation of high-tech industry innovation output,in input variables,the R&D expenditure is significantly positive correlation,and the R&D personnel is significantly negative correlation.in spillover variables,the industry-university-research cooperation is not significantly positively correlation,the industrial agglomeration and geographical distance are significantly positively correlation,FDI is significantly negatively correlation.

Liu Hedong,Yang Liping. Research on Spatial Agglomeration and Correlation of Innovation Output in High-tech Industry[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(19): 51-58., doi: 10.6049/kjjbydc.2020050152.

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Research on the Interaction between the Flow of Innovation Factors and the Change of Industrial Structure and the Effect of Spatial Spillover

Han Jun,Kong Lingcheng

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(19): 59-67. https://doi.org/10.6049/kjjbydc.2020030199

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The flow of innovation factors is not only the key to optimize resource allocation but also the internal driving force of industrial structure adjustment.On the contrary,the change of industrial structure will promote the innovation subject to carry out innovation through micro-effects.Based on the panel data of 30 provinces in China from 1998 to 2018,this paper studies the interaction between the flow of innovation elements and the change of industrial structure and the spatial spillover effect.The regression results show that the flow of R&D personnel can promote the upgrading of the local industry and the rationalization of the industrial structure in other regions,and at the same time the flow of R&D personnel also inhibits the rationalization of the local industrial structure and the upgrading of the spillover industries.The flow of R&D capital has a restraining effect on the upgrading of industrial structure in this region and the rationalization of industrial structure in other regions,while it has a promoting effect on the rationalization of industrial structure in this region and the upgrading of industrial structure in other regions.In the process of industrial structure change,the rationalization of its structure promotes the flow of R&D personnel and R&D capital,but inhibits the flow of R&D capital in other regions.

Han Jun,Kong Lingcheng. Research on the Interaction between the Flow of Innovation Factors and the Change of Industrial Structure and the Effect of Spatial Spillover[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(19): 59-67., doi: 10.6049/kjjbydc.2020030199.

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The Roles of Different Technological Innovation Forms in the Relationship between Environmental Regulation and Industrial Green Growth

Xu Xuefei,Wang Lili,Chen Shang

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(19): 68-76. https://doi.org/10.6049/kjjbydc.2020020516

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This paper considers green growth as the measure criterion of the quality of China's industrial development.Then Based on the panel data of China's 34 industrial sectors during 2011-2017,we apply EBM model to build Green Growth Index for measuring the green growth of industry.In addition,the GMM method is employed to test the roles of process innovation and product innovation in the relationship between environmental regulation and industrial green growth.The results show that the environmental regulation significantly promotes both process innovation and product innovation,while it plays a greater role in process innovation.Both the two innovation forms have significantly positive effects on industrial green productivity growth,which is mainly contribution of product innovation.Furthermore,while both process innovation and product innovation mediate the causal link between environmental regulation and industrial green growth,product innovation has a slightly stronger mediation effect than process innovation.The result also shows that product innovation is the best choice for complying with environmental regulation and motivating industrial green growth practices.These findings help us open the black box of the relationship between environmental regulation and industrial green growth.Finally,this paper presents some important implications for policy-makers and enterprise managers to promote industrial green growth practices in China.

Xu Xuefei,Wang Lili,Chen Shang. The Roles of Different Technological Innovation Forms in the Relationship between Environmental Regulation and Industrial Green Growth[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(19): 68-76., doi: 10.6049/kjjbydc.2020020516.

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Effect on Ambidextrous Innovation by Dynamic Capability and Firm Size

Jian Zhaoquan,Liu Nian,Huang Ruyi

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(19): 77-86. https://doi.org/10.6049/kjjbydc.2019070356

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Based on the data collecting from 186 enterprises in China to make a fuzzy set qualitative comparative analysis,this paper explores the critical configuration of ambidextrous innovation and the interaction among three types of dynamic capabilities and firm size.The results show that there are two equivalent paths to support Chinese enterprises to achieve exploratory innovation and exploitative innovation respectively.Further,absorptive capacity as the core condition,combined with different levels of opportunity identification,resource bricolage and firm size can greatly promote ambidextrous innovation.On the other side,resource bricolage is the combination of "exploitation and exploration"；the possibility of ambidextrous innovation can be greatly improved when resource bricolage jointly opportunity identification,among which the large-scale enterprises with abundant resources have obvious advantages.The research adopts the configuration research method of QCA to promote the causal logic of enterprise innovation behavior choice from the single-dimensional perspective to the overall perspective of multi-dimensional interaction,and clarify the relationship between various types of dynamic capability and ambidextrous innovation,as well as the dependence/substitution relationship between different capabilities.

Jian Zhaoquan,Liu Nian,Huang Ruyi. Effect on Ambidextrous Innovation by Dynamic Capability and Firm Size[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(19): 77-86., doi: 10.6049/kjjbydc.2019070356.

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Mechanism and Path of Disruptive Innovation in Equipment Manufacturing Enterprises:a Grounded Research

Yang Jin,Xie Ruolin

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(19): 87-95. https://doi.org/10.6049/kjjbydc.2019080650

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Disruptive innovation is an important means for China to implement innovation-driven development strategies and accelerate the innovation and development of equipment manufacturing enterprises.This paper takes three representative equipment manufacturing enterprises in China as the research object,and uses the grounded theory research method to conduct multi-case exploratory research on the subversive innovation realization path of equipment manufacturing enterprises,through open decoding,axis decoding and selective translation.The code builds the path model of the subversive innovation mechanism of equipment manufacturing enterprises,and summarizes the three stages of the subversive innovation realization path of equipment manufacturing enterprises.Based on this,it implements subversive innovation for equipment manufacturing enterprises and proposes management strategies and suggestions.

Yang Jin,Xie Ruolin. Mechanism and Path of Disruptive Innovation in Equipment Manufacturing Enterprises:a Grounded Research[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(19): 87-95., doi: 10.6049/kjjbydc.2019080650.

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Lv Xianjie,Tao Feng

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(19): 96-104. https://doi.org/10.6049/kjjbydc.2020050552

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This article uses the listed companies of Shanghai and Shenzhen A-share as the research sample,and classifies the annual main business income of each listed company manually in order to calculate the unique operating degree index of related and unrelated diversification using the entropy index method.At the same time,it uses the knowledge width method to measure the quality of invention patents as the proxy variable of substantial innovation,and empirically tests the impact of related and unrelated diversification on substantive innovation.The research found that,on the whole level,the deepening of related diversification will promote the quality of invention patents; while the degree of diversification is inversely u-shaped with the quality of invention patents.Through calculation,it can be found that the degree of unrelated diversification of most enterprises is on the left side of the critical value of inverted U-shaped relationship,that is,it promotes the quality of invention patents; through the heterogeneity test,it can be found that the promotion effect of related diversification and the inverted U-shaped relationship of non-related diversification are more significant in state-owned enterprises.The research of this paper has important guiding significance for enterprises to choose the appropriate direction and degree of related and non-related diversification to improve their substantive innovation ability.

Lv Xianjie,Tao Feng. Do Related and Unrelated Diversification Inhibit Substantial Innovation[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(19): 96-104., doi: 10.6049/kjjbydc.2020050552.

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Study to “University-Enterprise” Technology Transfer and Innovation Performance：Evidence from Experience Sample Methods

Xia Tiantian,Zhang Zhenduo,Wan Pengyu

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(19): 105-112. https://doi.org/10.6049/kjjbydc.Q201908501

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To explore the influences of transformation of technology between universities and industries,the present study adopts experience sampling method and collects data from Chinese high-technology companies to test the conceptual model.Aiming at the experience of technology transfer and the effect of innovation between universities, a 15-week diary study was carried out.The results show that “universities-enterprise” technology transformation positively affected companies innovation performance and planning game and utilitarian game mediated this relationship.Furthermore,company technology absorption ability moderated the mediating effect of two game，such that the mediating effects are only significant when the absorption ability is high.Our research highlights the importance of spontaneous collaboration between industries and universities,and companies should enhance their technology absorption ability to achieve “win-win” outcome for both companies and universities.

Xia Tiantian,Zhang Zhenduo,Wan Pengyu. Study to “University-Enterprise” Technology Transfer and Innovation Performance：Evidence from Experience Sample Methods[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(19): 105-112., doi: 10.6049/kjjbydc.Q201908501.

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Evaluation of Green Innovation Effect of Low Carbon Pilot Policy

Zhong Changbiao,Hu Dameng,Huang Yuanzhe

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(19): 113-122. https://doi.org/10.6049/kjjbydc.2020050667

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Based on the A-share listed firms in China from 2000 to 2016,this paper used the difference-in-difference method to evaluate the effect of China's low-carbon pilot policy on green innovation of firms,and further analyzes its mechanism.The research shows that: China's low-carbon pilot policy has induced the green innovation behavior of local enterprises,significantly improving the absolute level and relative level of enterprise green innovation; compared with the command tool and the voluntary tool,the market tool is an effective means for the local government of low-carbon pilot cities to promote the green innovation of enterprises.From the perspective of patent category,the low-carbon pilot policy is more conducive to promoting the green innovation activities of local enterprises in the fields of alternative energy production,energy conservation and waste management.Compared with the green invention patent,the local enterprises in the low-carbon pilot cities prefer the green utility model patent.From the perspective of the enterprise ownership category,the low-carbon pilot policy has simultaneously induced the green innovation activities of state-owned enterprises and private enterprises,but the level of green innovation of private enterprises is higher than that of state-owned enterprises.The conclusion of the study has some implications for the Chinese government to further expand the scope of low-carbon pilot implementation and establish a flexible market-oriented tool.

Zhong Changbiao,Hu Dameng,Huang Yuanzhe. Evaluation of Green Innovation Effect of Low Carbon Pilot Policy[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(19): 113-122., doi: 10.6049/kjjbydc.2020050667.

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High-tech Enterprise Identification and Enterprise Innovation Efficiency: Promote or Inhibit

Dou Qianbin,Sun Meilu,Wang Feiyao,Huang Yejing

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(19): 123-132. https://doi.org/10.6049/kjjbydc.2020020627

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As a specific industrial policy in China,policy "high-tech enterprises identification" present significant impact on R&D activities and innovation strategies of enterprises.On the basis of distinguishing the innovation efficiency of technology R&D stage and technology transformation stage,this paper uses 14 156 micro sample data of Chinese listed companies in 2008-2017,by adopting three-stage DEA model to measure the innovation efficiency of sample enterprises.Moreover,paper studies the impact of high-tech enterprise identification policies on the innovation efficiency of enterprises in the two stages through counterfactual estimation and medium effect model.The results show that the policy has positive impact in promoting innovation efficiency of Chinese listed companies in the stage of technology R&D.But the policy has a significant inhibitory effect on the innovation efficiency in the stage of technology transformation.Distinguish the main body of enterprises,the policy has a more significant impact on the state-owned enterprises and the enterprises that have implemented the equity incentive and have not obtained the venture capital.The empirical analysis of its influence mechanism shows that the policy affects the innovation efficiency of enterprises in the stage of technological R&D by two ways: easing the financing constraints of enterprises and improving the long-term liabilities.However,the policy also causes R&D investment of enterprises to "squeeze out" operating costs,advertising expenses and other expenses of enterprises,thus inhibiting the innovation efficiency of enterprises in the stage of technological transformation.

Dou Qianbin,Sun Meilu,Wang Feiyao,Huang Yejing. High-tech Enterprise Identification and Enterprise Innovation Efficiency: Promote or Inhibit[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(19): 123-132., doi: 10.6049/kjjbydc.2020020627.

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Public Subsidies and Private R&D Investment from the Perspective of Policy Objectives and Policy Instruments

Su Zifeng,Zhang Xiao

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(19): 133-140. https://doi.org/10.6049/kjjbydc.2019120028

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The development of military-civilian integration enterprises is highly dependent on the institutional environment,and government support and guidance play an essential role in corporate R&D.Policy objectives are benchmarks for the effectiveness of policy tools and lead to different effect for policy instruments.This study uses the 2008-2016 non-balanced panel data of 213 military-civilian integration listed companies in CSMAR database to conduct theoretical analysis and empirical test on the impact of industrial support and scientific and technological innovation government innovation subsidy policies on enterprise R&D decisions.The results show that the industrial support subsidies have a significant role in promoting the R&D investment of state-owned enterprises.The technical innovation subsidies have a considerable incentive for both state-owned and non-state-owned military enterprises R&D activities,and non-state-owned enterprises have more significantly impacted.

Su Zifeng,Zhang Xiao. Public Subsidies and Private R&D Investment from the Perspective of Policy Objectives and Policy Instruments[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(19): 133-140., doi: 10.6049/kjjbydc.2019120028.

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Collaborative Environment,Civil-military Integration and Spatial Distribution of Innovation Elements

Wang Xinliang,Lan Yujie,Liu Fei

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(19): 141-150. https://doi.org/10.6049/kjjbydc.2020060419

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In order to stimulate the allocation effect of innovative elements of civil-military integration and promote regional innovation development.Based on the theoretical mechanism and constraint environment analysis of the impact of civil-military integration on the efficiency of innovation factor allocation,this paper divides the innovation factors into two dimensions: capital and talent,and estimates the provincial integration panel data of 209 military industry listed enterprises in China from 2007 to 2018 by using the spatial dynamic panel model.The results are as follows:promoting civil military integration can improve regional innovation capital and talent to improve the efficiency of the allocation of innovative elements.Promoting military civilian integration can change the spatial competition pattern of innovative elements and improve the efficiency of allocation of innovative elements through "adjacent complementarity" and "joint interaction" between adjacent regions or regions with comparable technology.The main synergy environment has a restrictive effect on the spatial allocation effect of civil-military integration innovation elements.However,the promotion of civil-military integration in the coordinated environmental disadvantaged zone does not have a significant effect on the spatial allocation of innovative elements,and it may even inhibit the improvement of the efficiency of innovative element allocation in the region.

Wang Xinliang,Lan Yujie,Liu Fei. Collaborative Environment,Civil-military Integration and Spatial Distribution of Innovation Elements[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(19): 141-150., doi: 10.6049/kjjbydc.2020060419.

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Research Hotspots and Trend on the Effects of Institutional Context Differences on Corporate Growth

Li Yugang,Wu Peng,Ye Kaiyue,Fang Xiuyuan

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(19): 151-160. https://doi.org/10.6049/kjjbydc.2020030523

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Choosing 1529 datum of documents about the effects of institutional context differences on corporate growth published from 1997 to 2019 from Web of Science database( including SSCI、SCI-E) as the research sample,this paper firstly analyses the publishing time distribution of sample datum on the basis of bibliometrics.Then it analyses the cooperation between major countries or institutions involved by co-occurrence analysis， the core researchers and their classical literatures by document co-citation analysis， the evolution of hot topics by co-word cluster analysis.The results show that: after a decade of brewing period of slow growth,the research on the effects of institutional context differences on corporate growth has gradually aroused widespread concern and heated discussion in academic circles since 2008； America and other developed countries are leading the world in research and have formed a core academic group centered on "America-Britain-Spain- Canada-Italy-Australia-Sweden"；scholars such as Peng、Aguilera and Campbell have constructed the basic analytical paradigm of applying institutional theory to the study of corporate growth； in different periods.There are some differences in the focus of the research hotspots in this field.Based on the results of visual analysis,this paper constructs an analytical framework for effects of institutional context differences on corporate growth.

Li Yugang,Wu Peng,Ye Kaiyue,Fang Xiuyuan. Research Hotspots and Trend on the Effects of Institutional Context Differences on Corporate Growth[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(19): 151-160., doi: 10.6049/kjjbydc.2020030523.

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10 October 2020, Volume 37 Issue 19

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10 October 2020, Volume 37 Issue 19