An empirical research on the impact of regional innovation policy on enterprise innovation efficiency

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Science Research Management ›› 2014, Vol. 35 ›› Issue (9) : 25-35.

Li Chenguang, Zhang Yong'an

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Abstract

Innovation policies have developed into an important driving force to spur up the enterprise innovation activity. And few studies exist which focus on polices influencing innovation efficiency on the firm level. By using a Stochastic Frontier Analysis (SFA) model, the innovation efficiency of 90 enterprises in Zhongguancun, Beijing, Chinaduring the period between 2006 and 2011 has been estimated. The results show that the mean of efficiency scores for regional innovation policies impacting on enterprise innovation efficiency is about 0.31. Among these policies, government projects, capital support, and combination of the essential factors like the sponsor on innovation talents and support on R&D facilities all play a positive role on the patent output efficiency of enterprise innovation. Tax preference, capital support and innovation talent and tax subsidies all play a positive role on the income of enterprise innovation product. Furthermore, the effect of capital support impacts on the efficiency is decreased with time. There is a highly efficiency of policy impact on electronic information enterprises and biopharmaceutical enterprises, and a lower of equipment-related which showed a characteristic of Kuznets Curve. Micro and small enterprises depend more on regional innovation policies than large ones and the effects of policies influence the innovation efficiency of SME is better than that of large ones.

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innovation efficiency / regional innovation policy / R&D innovation / stochastic frontier analysis (SFA)

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Li Chenguang, Zhang Yong'an. An empirical research on the impact of regional innovation policy on enterprise innovation efficiency[J]. Science Research Management. 2014, 35(9): 25-35

References

[1] Yang H, Phelps C, Steensma H K.Learning from What Others Have Learned from You:The Effects of Knowledge Spillovers on Originating Firms[J].Academy of Management Journal.2010, 53(2):371-389. [2] 刁丽琳, 张蓓, 马亚男.基于SFA模型的科技环境对区域技术效率的影响研究[J].科研管理, 2011(4):143-151. [3] Wang C, Lu Y, Huang C, et al.R&D, Productivity, and Market Value:An Empirical Study from High-technology Firms[J].Omega.2013, 41(1):143-155. [4] Lerner, J.When Bureaucrats Meet Entrepreneurs:The Design of Effective'Public Venture Capital' Programmes[J].The Economic Journal.2002, 112:73-84. [5] Atkeson, A., Burstein, A.T.Policies to Stimulate Innovation[J].Economic Policy Paper.2011(11):4-11, 43-45. [6] Oke A, Walumbwa F O, Myers A.Innovation Strategy, Human Resource Policy, and Firms' Revenue Growth:The Roles of Environmental Uncertainty and Innovation Performance[J].Decision Sciences.2012, 43(2):273-302. [7] Srivastava M K, Gnyawali D R.When Do Relational Resources Matter? Leveraging Portfolio Technological Resources for Breakthrough Innovation[J].Academy of Management Journal.2011, 54(4):797-810. [8] Meuleman M, De Maeseneire W.Do R&D subsidies affect SMEs' access to external financing?[J].Research Policy.2012, 41(3):580-591. [9] 陆建芳, 戴炳鑫.企业技术中心技术创新资源配置效率评价[J].科研管理, 2012(1):19-26. [10] Onder A O, Deliktas E, Lenger A.Efficiency in the Manufacturing Industry of Selected Provinces in Turkey-A Stochastic Frontier Analysis[J].Emerging Markets Finance and Trade.2003, 39(2):98-113. [11] 唐德祥, 李京文, 孟卫东.R&D对技术效率影响的区域差异及其路径依赖——基于我国东、中、西部地区面板数据随机前沿方法(SFA)的经验分析[J].科研管理, 2008(2):115-121. [12] 韩晶.中国高技术产业创新效率研究——基于SFA方法的实证分析[J].科学学研究, 2010(3):467-472. [13] 樊华, 周德群.中国省域科技创新效率演化及其影响因素研究[J].科研管理, 2012(1):10-18. [14] Murray G C.A policy response to regional disparities in the supply of risk capital to new Technology-Based firms in theeuropean union:The european seed capital fund scheme[J].Regional Studies.1998, 32(1):405-409. [15] 肖丁丁, 朱桂龙.产学研合作创新效率及其影响因素的实证研究[J].科研管理, 2013(1):11-18. [16] 曹勇, 苏凤娇.高技术产业技术创新投入对创新绩效影响的实证研究——基于全产业及其下属五大行业面板数据的比较分析[J].科研管理, 2012(9):22-31. [17] Wang E C.R&D efficiency and economic performance:A cross-country analysis using the stochastic frontier approach[J].Journal of Policy Modeling.2007, 29(2):345-360. [18] Meuleman M, De Maeseneire W.Do R&D subsidies affect SMEs' access to external financing?[J].Research Policy.2012, 41(3):580-591. [19] Cappelen Â, Raknerud A, Rybalka M.The effects of R&D tax credits on patenting and innovations[J].Research Policy.2012, 41(2):334-345. [20] Zhong W, Yuan W, Li S X, et al.The performance evaluation of regional R&D investments in China:An application of DEA based on the first official China economic census data[J].Omega.2011, 39(4):447-455. [21] Huang C, Chu P, Chiang Y.A fuzzy AHP application in government-sponsored R&D project selection[J].Omega.2008, 36(6):1038-1052. [22] Storey D J, Tether B S.Public policy measures to support new technology-based firms in the European Union[J].Research Policy.1998, 26(9):1037-1057. [23] Helvoigt T L, Adams D M.A stochastic frontier analysis of technical progress, efficiency change and productivity growth in the Pacific Northwest sawmill industry[J].Forest Policy and Economics.2009, 11(4):280-287. [24] Hitt M A, Hoskisson R E, WKim H.International Diversification:Effects on Innovation and Firm Performance in Product-Diversified Firms[J].Academy of Management Journal.1997, 40(4):767-798. [25] Katila R, Chen E L.Effects of Search Timing on Innovation:The Value of Not Being in Sync with Rivals[J].Administrative Science Quarterly.2008, 53(4):593-625. [26] 李柏洲, 毕克新, 艾明晔.产品创新与工艺创新协同发展分析模型与方法研究[J].中国管理科学, 2007(4):138-148. [27] 赵剑波, 杨震宁, 王以华.政府的引导作用对于集群中企业创新绩效的影响:基于国内科技园区数据的实证研究[J].科研管理, 2012(2):11-17.