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External Network Resource Acquisition,Institutional Environment and Innovation Performance of Incubator

Dong Jing,Yu Jie

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(10): 1-10. https://doi.org/10.6049/kjjbydc.2019090835

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According to the data of national S&T Business incubator,this paper empirically explores the influence of external network resource acquisition on the innovation performance of incubators,and discusses the moderating effects of regional institutional environment by using panel regression method and FGLS model.The results show that the capacity of external network resource acquisition has a significant positive impact on the innovation performance of incubators.Regional institutional environment can significantly strengthen the positive relationship between the process of marketization and incubator's innovation performance.Furthermore,the research shows that the level of government governance,legalization and product market development are all has significant positive impact on the relationship between external network resources acquisition ability and incubator innovation performance.The moderating effect is verified from the perspective of innovation incentive effect and innovation efficiency effect.This study reveals how the subjective network support acquisition of incubators and the objective regional institutional environment work together to influent the innovation performance of incubators and widens the management perspective for improving the innovation performance of the incubator.

Dong Jing,Yu Jie. External Network Resource Acquisition,Institutional Environment and Innovation Performance of Incubator[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(10): 1-10., doi: 10.6049/kjjbydc.2019090835.

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Research on the Relationship between Government Intervention and the Choice of I-U-R Collaborative Innovation Operation Mechanism

Li Lin,Wang Yi,Huang Mian,Hu Fang

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(10): 11-20. https://doi.org/10.6049/kjjbydc.Q201908433

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In order to study the influence of government intervention on the success of the I-U-R collaborative innovation project,the empirical analysis of questionnaire data based on structural equation model and multiple regression was conducted to investigate the relationship between government intervention behavior and I-U-R collaborative innovation operation mechanism and their impact on project success degree.The results show that the direct and indirect effects of government intervention on the project success degree exist simultaneously；the government intervention significantly affects the choice of the I-U-R collaborative innovation mechanism.Different forms of government intervention and degree have different degrees of influence on the choice of I-U-R collaborative innovation operation mechanism and project success degree.Among them,the degree of government guidance on project model selection has the greatest influence,the degree of the government's review of the project has the least influence,and too strong review will reduce project success degree.Finally,the optimal government intervention and I-U-R collaborative innovation operation mechanism select relationship matching table is obtained,which provides policy suggestions and management basis for the cooperation entity to improve the project success degree.

Li Lin,Wang Yi,Huang Mian,Hu Fang. Research on the Relationship between Government Intervention and the Choice of I-U-R Collaborative Innovation Operation Mechanism[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(10): 11-20., doi: 10.6049/kjjbydc.Q201908433.

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The Influence of Network Embeddness and R&D Experience on Inventor Selection in Pre-research Stage of Communication Enterprises

Wang Yalan,Sun Xiaoming,Wang Chengjun,Cui Wentian

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(10): 21-28. https://doi.org/10.6049/kjjbydc.Q201908740

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Pre-research is related to the competitive advantage of enterprises in the future industry development,but the previous studies mostly focused on defense and military enterprises,and less on general civil enterprises.From the perspective of the network structure embedded by inventors and the characteristics of inventors' own attributes,this paper analyses the influence of the selection of pre-research inventors in the technological process of the leap from 3G to 4G in communication enterprises,and gives three hypotheses:betweeness centrality,self-centered network structure hole,R&D experience.Through the logistic regression analysis of rare events,it is found that the more structural holes in the self-centered network and the richer R&D technology experience in the past,the more likely the inventor will be selected to enter the pre-research activities of enterprises.The conclusion of this paper has significant application value and provides decision-making basis for human resource management in enterprise pre-research.

Wang Yalan,Sun Xiaoming,Wang Chengjun,Cui Wentian. The Influence of Network Embeddness and R&D Experience on Inventor Selection in Pre-research Stage of Communication Enterprises[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(10): 21-28., doi: 10.6049/kjjbydc.Q201908740.

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Interdependence and Embeddedness:Research on the Persistence of Industry-University-Research Collaborative Innovation

Cheng Long,Cai Junya,Yang Yi,Jia Weifeng

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(10): 29-36. https://doi.org/10.6049/kjjbydc.Q201908756

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As an important form of cooperative innovation,industry-university-research cooperation has made important contributions to resource integration,industrial optimization and economic development.Based on the national key industry patent information service platform and taking the industry-university-research cooperation invention patents of China's electronic components industry as the data source,the Logistic regression model was used to empirically test the influence of interdependence and embeddedness on the persistence of industry-university-research collaborative innovation.The results show that:among the three factors of interdependence,geographical proximity has no significant impact on the persistence of industry-university-research collaborative innovation,and knowledge similarity and identity similarity have significant positive impact on the persistence of industry-university-research collaborative innovation.Among the three elements of embeddedness,structural embeddedness has no significant influence on the persistence of industry-university-research collaborative innovation,and both relational embeddedness and positional embeddedness have significant positive influence on thepersistence of industry-university-research collaborative innovation.However,when all the factors enter the regression model at the same time,only knowledge similarity and relationship embeddedness have significant positive effects on the persistence of industry-university-research collaborative innovation,while identity similarity and position embeddedness no longer have significant effects.

Cheng Long,Cai Junya,Yang Yi,Jia Weifeng. Interdependence and Embeddedness:Research on the Persistence of Industry-University-Research Collaborative Innovation[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(10): 29-36., doi: 10.6049/kjjbydc.Q201908756.

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Impact of Environmental Regulations and Government R&D Funding on Green Technology Innovation

Guo Jie,Yang Licheng

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(10): 37-44. https://doi.org/10.6049/kjjbydc.Q201908707

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Green technology innovation is the key to breaking the pressure of “economic-environment”.Government behavior can effectively compensate for the natural deficiencies of green technology innovation under the market economy system.To further study the impact of government policies on green technology innovation,this paper is based on the “dual externalities” of green technology innovation,explores the direct impact and interaction effects of environmental regulation and government R&D funding on green technology innovation with the panel data of 31 provinces (cities,districts) in China in 2009-2017.The research results show that both environmental regulation and government R&D funding have a significant positive impact on green technology innovation,and the impact of government R&D funding is greater；the complementary coupling between the two is more conducive to promoting green technology innovation.

Guo Jie,Yang Licheng. Impact of Environmental Regulations and Government R&D Funding on Green Technology Innovation[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(10): 37-44., doi: 10.6049/kjjbydc.Q201908707.

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Research on the Evolution Mechanism of Regional Intellectual Property Protection Network

Cao Wei,Dong Yao,Miao Jianjun

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(10): 45-52. https://doi.org/10.6049/kjjbydc.2019110390

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Regional intellectual property protection is in a dynamic,open framework. Based on the existing theory and the complex network as the research perspective,this paper analyzes the spatial pattern evolution of the regional intellectual property protection network. At the same time,Separable Temporal Exponential Random Graph Models is used to empirically analyze the evolution mechanism of regional intellectual property protection network. The study found that the overall structure of the regional intellectual property protection network is in a dynamic evolution,and there are four cohesive subgroups in the network main structure；further,the network transitivity,human capital level,the level of opening up,and the R&D investment contribute to the formation of the network side. There has been an increase；the per capita GDP of each region has a similar impact on the formation of new relationships in the network and the dissolution of existing relationships；the influence of regional market share on the disappearance of the network side has been continuously strengthened. The research results of this paper are intended to help enrich and expand the research on regional intellectual property protection,and_provide theoretical support for decision-making reference of relevant departments.

Cao Wei,Dong Yao,Miao Jianjun. Research on the Evolution Mechanism of Regional Intellectual Property Protection Network[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(10): 45-52., doi: 10.6049/kjjbydc.2019110390.

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Beijing-Tianjin-Hebei Regional Innovation Ecosystem:Operational Mechanism and Comprehensive Evaluation

Wang Deqi,He Xiaoyan,Wu Jian

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(10): 53-61. https://doi.org/10.6049/kjjbydc.2019110196

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Build a regional innovation ecosystem with five subsystems of "bearing-gathering-action-output-radiation" and three linkage transmission mechanisms of "profit feedback-technology spillover-guarantee mechanism"，establish an index system，and evaluate the operation level of Beijing-Tianjin-Hebei innovation ecosystem by using a composite system coordination degree and coupling coordination degree model.The results show that from 2008 to 2018，the system operation is at a low level of coordination，the order degree of subsystems increases year by year，and the coupling ability between systems undergoes a transformation from low coordination to medium coordination.The Matthew effect of innovation in the three places，insufficient coupling between industrial chain and innovation chain， and imperfect linkage mechanism between systems are the short boards that restrict system coordination.Finally，some suggestions are put forward from the aspects of constructing a balanced flow mechanism of factors，strengthening the integration of "innovation chain-industrial chain" and optimizing the innovation ecology.

Wang Deqi,He Xiaoyan,Wu Jian. Beijing-Tianjin-Hebei Regional Innovation Ecosystem:Operational Mechanism and Comprehensive Evaluation[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(10): 53-61., doi: 10.6049/kjjbydc.2019110196.

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Industrial Linkages Spillover of Regional Industrial Transfer and High-Quality Development

Li Chunmei,Xi Zhenzi,Ma Jinjin

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(10): 62-70. https://doi.org/10.6049/kjjbydc.Q201908765

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Based on the background of China's regional industrial transfer,this paper quantitatively measures regional industrial transfer using data from 30 provinces and cities and 27 two-digit industrial industries from 1999 to 2016,and selects the electronic equipment manufacturing industry with strong industrial relevance as the research object,and uses the input-output method to identify related industries and measures the spillover of related industries.Building models using 28 provinces and cities panel data from 2004 to 2016,the relationship between the spillover effect of related industries and the transfer of electronic equipment manufacturing industry,the relationship between the spillover of related industries in industrial transfer and the high-quality development of electronic equipment manufacturing industry were tested empirically.The study finds that:①In 2014,the spatial Gini coefficient of China's industrial showed an inflection point.The overall industry shifted from the previous decentralized transfer to a new centralized transfer,while the electronic equipment manufacturing industry is still in the decentralized transfer to the central and southwestern regions.②The industry-related spillover effect in the transfer of electronic equipment manufacturing does exist,and promotes the improvement of the production efficiency of the electronic equipment manufacturing industry and the high-quality development of the industry.③In the industrial transfer,the effect of the tertiary industry's linkages spillover effect on the decentralization of the electronic equipment manufacturing industry is higher than that of the industry,but the impact of industrial linkages spillover on the production efficiency of electronic equipment manufacturing industry is significantly higher than that of the tertiary industry.

Li Chunmei,Xi Zhenzi,Ma Jinjin. Industrial Linkages Spillover of Regional Industrial Transfer and High-Quality Development[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(10): 62-70., doi: 10.6049/kjjbydc.Q201908765.

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The Development Path of Intelligent Manufacturingby Ambidexterity Driving

Chen Xusheng,Liang Ying

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(10): 71-80. https://doi.org/10.6049/kjjbydc.2019070397

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Intelligent manufacturing optimizes manufacturing resources through digital integration to meet the personalized needs of users,which is an important path for China's manufacturing industry to overcome "low-end locking" and achieve industrial upgrading.Taking Haier,Huawei and Geely three local manufacturing enterprises as research objects and applying the grounded theory to conduct multi-case analysis,the development mechanism model of intelligent manufacturing with "drive-transformation- performance" is constructed,and the characteristics of intelligent manufacturing at different stages from the initial stage to the "ecological" are clarified.The research results show that:the ambidextrous drive of technology and service leads to the transformation of enterprise operating mechanism and then forms the intelligent manufacturing performance,and the transformation of intelligent manufacturing is promoted by the innovation of manufacturing process,resource integration,service expansion and concept renewal,different stages of intelligent manufacturing have differences in direction,operating conditions and key links.

Chen Xusheng,Liang Ying. The Development Path of Intelligent Manufacturingby Ambidexterity Driving[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(10): 71-80., doi: 10.6049/kjjbydc.2019070397.

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Do State Non-controlling Shareholders in Private Firms Promote Corporate Innovation

Deng Yongqin,Wang Jing

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(10): 81-89. https://doi.org/10.6049/kjjbydc.2019040774

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Based on the sample of private listed companies from 2008 to 2017,this paper studies the impact of state non-controlling shareholders on corporate innovation by manually collecting information on the nature and shareholding ratio of the top ten shareholders in annual report.The empirical results show that,state non-controlling shareholders in private firms have a significantly positive effect on the corporate innovation,and there are some extent substitution effects in promoting corporate innovation between state non-controlling shareholders in private firms and executive political connection.Mechanism analysis shows that easing corporate financing constraints and strengthening innovation intention are the two main channel mechanisms.The results show that mixed ownership is beneficial for both SOEs and private firms.The findings are helpful to clarify the controversy of "guojinmintui"，and have practical implications for the ongoing “mix-ownership reform” in China.

Deng Yongqin,Wang Jing. Do State Non-controlling Shareholders in Private Firms Promote Corporate Innovation[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(10): 81-89., doi: 10.6049/kjjbydc.2019040774.

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Research on the Relationship between IT Capability and Enterprise Innovation Performance

Ding Xiaojun,Li Wanning,Xu Lei

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(10): 90-98. https://doi.org/10.6049/kjjbydc.2019120720

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In recent years,more and more attention has been paid to the impact of it capability on enterprise innovation performance.However,there is little research on the relationship between dual learning and it capability.Based on the organizational learning theory,this paper constructs a theoretical model to explore the impact of it basic capabilities and it system practices on the innovation performance of enterprises,as well as the regulatory effect of dual learning.The results of questionnaire survey of 313 enterprises show that both it basic ability and it system convention can promote the innovation performance of enterprises；the results of adjustment show that both exploratory learning and utilization learning can strengthen the promotion of it ability on the innovation performance of enterprises.The research enriches the research on the moderating effect of dual learning on the relationship between it capability and innovation performance,and provides a reference for enterprises to improve their innovation performance by developing it capability and dual learning.

Ding Xiaojun,Li Wanning,Xu Lei. Research on the Relationship between IT Capability and Enterprise Innovation Performance[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(10): 90-98., doi: 10.6049/kjjbydc.2019120720.

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The Impact of Environmental Performance on Economic Performance of Manufacturing Enterprises under the Moderation of Environmental Innovation Level

Jin Jiyao,Du Jianguo

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(10): 99-107. https://doi.org/10.6049/kjjbydc.201908586QZ

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Based on the actual investigation of 318 questionnaires manufacturing enterprises,This study revealed the effective conditions for the transformation of enterprise environmental performance into economic performance,and compared the differences of moderating effect of environmental innovation level between different ownership enterprises.To some extent,it explained the reasons for the inconsistent conclusions of the relationship between environmental performance and economic performance.The results showed that:the direct impact of environmental performance on economic performance had not been verified in this sample,environmental innovation level had a significant moderating effect between environmental performance and economic performance.This study showed that ownership itself did not have significant moderating effect between economic performance and economic performance,but in the context of environmental innovation it did.Specifically,in domestic enterprises,only when the level of environmental innovation was low can environmental performance improve the economic performance of enterprises.The higher the level of environmental innovation was,the weaker the promotion effect was.In FDI enterprises,the promotion of environmental performance on economic performance would increase with the level of environmental innovation ,but the extent of enhancement was not obvious.

Jin Jiyao,Du Jianguo. The Impact of Environmental Performance on Economic Performance of Manufacturing Enterprises under the Moderation of Environmental Innovation Level[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(10): 99-107., doi: 10.6049/kjjbydc.201908586QZ.

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R&D Investment,Intellectual Property Protection and Quality of Enterprise Innovation

Chen Zhanguang,Li Guangwei,Liang Tian,Wang Qiaowan

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(10): 108-117. https://doi.org/10.6049/kjjbydc.Q201908393

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The quality of innovation is on heated discussion under the background of “Mass entrepreneurship and innovation” and “Made in China 2025” in China,and it is also an important capability of enterprises.This paper uses the data of China's A-share listed companies from 2008 to 2016 to study the relationship between R&D investment,intellectual property protection and the quality of enterprise innovation,and to examine the regulatory mechanism of intellectual property protection between R&D investment and corporate innovation quality.This paper finds that:R&D investment can significantly improve the innovation quality of enterprises；There is a clear “U” relationship between intellectual property protection and enterprise innovation quality；There is an "optimal interval" for the regulatory mechanism of intellectual property protection between R&D investment and corporate innovation quality.The conclusions of this paper will further improve the understanding of how intellectual property protection will affect enterprise innovation,and according to the intellectual property protection data of provincial administrative regions,we provide suggestion on how to formulate innovative development strategies according to local conditions at the national,provincial and enterprise levels.This paper is of theoretical and practical significance to some extent.

Chen Zhanguang,Li Guangwei,Liang Tian,Wang Qiaowan. R&D Investment,Intellectual Property Protection and Quality of Enterprise Innovation[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(10): 108-117., doi: 10.6049/kjjbydc.Q201908393.

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The Influence Mechanism of Status Competition Motivation on Individual Knowledge Sharing Behavior

Tang Yuhong,Zhao Chenhui,Tao Ran,Liu Xin

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(10): 118-127. https://doi.org/10.6049/kjjbydc.2019030489

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Knowledge sharing behavior is the focus of academic and business circles.Previous literatures have studied knowledge sharing behavior in organizations from multiple angles and levels,but have neglected the status competition motivation hidden behind individual knowledge sharing decisions.Based on the difference of the status competition motivation,this study divides individual status competition motivation into both dominant status competition motivation and prestigious status competition motivation.This paper explores and constructs a process model of the influence of status competition motivation on knowledge sharing behavior,which is mediated by workplace ostracism and moderated by organizational justice climate.630 supervisor-subordinate dyads samples from 13 organizations are used to test the hypothesis.The result of data analysis indicates that dominant status competition motivation negatively affects the knowledge sharing behavior,while prestigious status competition motivation is the opposite,workplace ostracism and organizational justice climate play mediating and moderating effect during the process.The results provide a new perspective and framework for the research of knowledge sharing,It is found that status competition motivation plays a dual role in promoting and restraining knowledge sharing， have a certain practical significance to the practice of enterprise management.

Tang Yuhong,Zhao Chenhui,Tao Ran,Liu Xin. The Influence Mechanism of Status Competition Motivation on Individual Knowledge Sharing Behavior[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(10): 118-127., doi: 10.6049/kjjbydc.2019030489.

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Research on Manufacturing Enterprises Knowledge Sharing Strategy of Cooperative Innovation

Wang Lijing,Pan Meilan

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(10): 128-135. https://doi.org/10.6049/kjjbydc.Q201908988

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Cooperative innovation is an effective form for manufacturing enterprises to integrate resources and share innovation risks and accelerate innovation efficiency,however it increases the risk of leaking core knowledge and losing of core competitiveness.In order to explore the knowledge sharing strategy among the process of manufacturing enterprises' cooperative innovation.Based on the fully open strategy,the incomplete open strategy,the closed strategy of manufacturing enterprises' cooperative innovation,this paper constructs the selective game model of manufacturing enterprises' cooperative innovation knowledge sharing strategy,and uses MATLAB software to demonstrate the influence of different decision parameters changes on strategy selection through numerical simulation.The results show that under bounded rationality,the manufacturing enterprises will choose the incomplete open strategy,and the decision-making is affected by the risk coefficient of knowledge leakage,knowledge cost,knowledge hiding coefficient,knowledge absorption ability of partners,and liquidated damages.Based on this,the corresponding suggestions are put forward.

Wang Lijing,Pan Meilan. Research on Manufacturing Enterprises Knowledge Sharing Strategy of Cooperative Innovation[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(10): 128-135., doi: 10.6049/kjjbydc.Q201908988.

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Research on the Elements Fusion Mechanism of Dual-Use Science and Technology Collaborative Innovation

Tian Qingfeng,Zhang Tian,Zhang Shuo,Miao Duoduo

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(10): 136-145. https://doi.org/10.6049/kjjbydc.2019070129

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The construction of an integrated national strategic system and capability is an important goal of implementing the civil-military integration strategy in the new era.And the collaborative innovation of dual-use science and technology is an inevitable choice to achieve this goal.Based on the grounded theory,the system of influencing factors which severely affect the collaborative innovation of dual-use science and technology was established.Then,we analyzed the interactive relationship between the influencing factors to construct the systemic dynamic model.Different simulation schemes were designed based on a case to analyze the changes of collaborative innovation level under the conditions of single factor,multiple factor synergy and multiple factor non-synergy.From the connotation,structure and function realization of dual-use science and technology collaborative innovation,the mechanism of element fusion was revealed layer by layer.Finally,We put forward some policy proposals to realize the better civil-military integration.

Tian Qingfeng,Zhang Tian,Zhang Shuo,Miao Duoduo. Research on the Elements Fusion Mechanism of Dual-Use Science and Technology Collaborative Innovation[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(10): 136-145., doi: 10.6049/kjjbydc.2019070129.

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Research on Influencing Factors of Military and Civilian Integration

He Haiyan,Cao Huawei

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(10): 146-151. https://doi.org/10.6049/kjjbydc.2018110668

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In order to study the influencing factors of research innovation of military-civilian integration in Universities in the new era,based on the analysis of expert interviews and field research data,this paper collects data through questionnaire survey method,makes an empirical analysis of the influencing factors by using Ordered Logit model,and studies the influence degree of each influencing factor on the development of research innovation of military-civilian integration in universities at this stage.The research shows that factors such as "national strategy for innovation and development of military-civilian integration","collaborative innovation system of military industry,University and research","support for scientific research talents of military-civilian integration","incentive policy for scientific research and innovation of military-civilian integration","intellectual property protection of scientific research achievements of military-civilian integration" have a significant impact on the main problems facing the development of scientific research and innovation of military-civilian integration in China's universities.

He Haiyan,Cao Huawei. Research on Influencing Factors of Military and Civilian Integration[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(10): 146-151., doi: 10.6049/kjjbydc.2018110668.

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Scientific and Technological Entrepreneurship for Poverty Alleviation：A Literature Review and Directions for Future Research

Li Bingbing,Peng Huatao,Li Peng

SCIENCE & TECHNOLOGY PROGRESS AND POLICY. 2020, 37(10): 152-160. https://doi.org/10.6049/kjjbydc.2020010312

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On the basis of science and technology driven and entrepreneurial orientation,scientific and technological entrepreneurship for poverty alleviation has become an effective way for developing countries to alleviate and eliminate poverty and achieve high-quality development.This paper performs a systematic literature review of scientific and technological entrepreneurship for poverty alleviation.First,we define scientific and technological entrepreneurship for the connotation of poverty alleviat from the perspective of three ties that scientific and technological entrepreneurship to poverty alleviation,science and technology to entrepreneurial poverty alleviation,scientific and technological poverty alleviation to entrepreneurship.And then,we expound the significance of scientific and technological entrepreneurship for poverty alleviation in the context of farmers,rural areas and agriculture.Finally,we summarize its tools,refine its various models,analyze its endogenous and exogenous influencing factors and point out the future research direction.

Li Bingbing,Peng Huatao,Li Peng. Scientific and Technological Entrepreneurship for Poverty Alleviation：A Literature Review and Directions for Future Research[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(10): 152-160., doi: 10.6049/kjjbydc.2020010312.

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25 May 2020, Volume 37 Issue 10

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25 May 2020, Volume 37 Issue 10