政府研发资助对高校创新溢出的调节效应分析

郭惠

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科研管理 ›› 2021, Vol. 42 ›› Issue (9) : 184-192.

论文

政府研发资助对高校创新溢出的调节效应分析

郭惠¹，刘航²

作者信息 +

An analysis of the regulation effect of government R&D funding on university innovation spillover

Guo Hui¹, Liu Hang²

Author information +

文章历史 +

摘要

“官产学研”融合是新时代创新型国家建设的重要举措，有效释放政府研发资助的调节红利至关重要。本文借助理论模型阐释高校创新活动与地方创新发展之间的逻辑关系，揭示政府研发资助对高校创新溢出的调节影响可能存在较为复杂的动态机制。采用Hansen的门槛回归方法以及中国30个省份的面板数据实证研究发现，高校创新能力提升对区域创新发展具有积极影响，但在不同水平时影响弹性系数有所差异，高校创新能力处于（0.275 3 0.560 3\]区间的溢出效应最佳。政府研发资助对高校创新溢出具有动态调节作用，当资助强度高于0.085 3门槛阈值，高校创新才会释放正向溢出的“挤入效应”，并且随着研发资助强化，溢出轨迹呈现出边际递增规律。相应研究启示在于，定位高校创新溢出的最佳区间，跨越政府研发资助的约束门槛，才能有效撬动“官产学研”的内生驱动，加速区域创新转型。

Abstract

In order to test the spillover effect of university innovation and the effectiveness of government R&D funding, the paper analyzed the spillover mechanism of university innovation performance with the theoretical perspective by constructing the correlation model between university innovation and regional innovation development. It also introduced government R&D funding as exogenous intervention variable, and proposed that government R&D funding might have complex dynamic influence on university innovation spillover. Based on panel data of 30 provinces from 2006 to 2017 in China, this paper empirically studied the spillover effect of university innovation on regional innovation development, and also test the moderating effect of government R&D funding with fixed effect model and threshold estimation model. The main conclusions and enlightenment are as follows:
Firstly, from the linear judgment, university innovation activities have significant positive spillover effect on regional innovation development, which is accord with empirical expectations. However, from the perspective of nonlinear spillover trial, the spillover effect of university innovation is not invariable, with optimal spillover space of (0.2753 0.5603]. The corresponding enlightenment is that, it is necessary to implement different strategies to strengthen university innovation, and the provinces that have already crossed the optimal spillover threshold should pay attention to the innovation transformation of "industry-university-research cooperation"; while most provinces in the optimal spillover range should pay attention to the basic role of university innovation in "industry-university-research cooperation", make effort in basic research and development of university, which provide strong driving force for the development of independent innovation.
Secondly, it is found that government R&D funding could accelerate the development of regional innovation. Although trade frictions lead to the criticism on China′s government R&D funding by the United States, criticizing that external intervention has damaged technological competition and market equity, but empirical studies have confirmed that China, as a developing country, is in weak position of technological competition, R&D funding could effectively dilute the risk of innovation input, optimize the innovation output performance and break through the bottleneck of "goose model". What is worth learning is that, western developed countries are also strengthening the incentive effect of government R&D funding, especially in some emerging science and technology fields. Through government R&D funding, universities, scientific research institutes and innovative enterprises, it could promote diversified innovation integration and technology transformation, and realize national innovation competitive advantages.
Finally, government R&D funding has more complex nonlinear regulatory effect on university innovation spillover. Low intensity funding could not release the spillover effect of university innovation effectively. Only when the funding intensity is higher than the threshold of 0.0853, it could leverage the innovation spillover of universities. While the R&D funding intensity is strengthening, this positive spillover has marginal increasing effect. It can be seen that the "crowding in effect" and "crowding out effect" of government R&D funding are not contradictory. The more reasonable explanation is that R&D funding has certain spatiotemporal differentiation characteristics in different influence interfaces, "crowding in effect" has threshold constraints, and the innovation spillover dividend of "industry-university-research cooperation" needs effective leverage of high-intensity funding. Therefore, active fiscal and tax policies should change "all-round" funding strategy in the past, reduce subsidies for traditional industries, increase the intensity of funding for universities, scientific research institutes and scientific and technological innovation industries, shorten the ripple cycle of supply side reform, and accelerate the endogenous drive and innovation development transformation.

导出引用

郭惠, 刘航. 政府研发资助对高校创新溢出的调节效应分析[J]. 科研管理. 2021, 42(9): 184-192

Guo Hui, Liu Hang. An analysis of the regulation effect of government R&D funding on university innovation spillover[J]. Science Research Management. 2021, 42(9): 184-192

参考文献

[1]GUSTAFSSON R, JARVENPAA S. Extending community management to industry-university-government organizations[J].R&D Management,2018,49（4）:555-573.

[2]MARIBEL G,DAVID U,FERNANDO H.Innovation practices in emerging economies: Do university partnerships matter？[J].Journal of Technology Transfer,2019,44（2）:615-646.

[3]薛澜,姜李丹,黄颖,梁正.资源异质性、知识流动与产学研协同创新——以人工智能产业为例[J].科学学研究，2019，37（12）：2241-2251．

XUE Lan,JIANG Lidan,HUANG Ying,LIANG Zheng.Resource heterogeneity,knowledge flow and collaborative innovation of industry, university and research——Taking the artificial intelligence industry as an example[J].Research in Science of Science,2019,37（12）:2241-2251.

[4]王丽平,栾慧明.组织距离、价值共创与产学研合作创新绩效［J］．管理学报，2019，16（5）：704-711．

WANG Liping,LUAN Huiming.Organizational distance,value co-creation and innovation performance of industry-university-research cooperation[J].Journal of Management,2019,16（5）:704-711．

[5]余晓芳,刘耀东.创新驱动发展战略背景下高校产学研协同创新机制研究[J].理论月刊，2019（12）：155-160．

YU Xiaofang,LIU Yaodong.Research on the collaborative innovation mechanism of industry-university-research research in universities under the background of innovation-driven development strategy[J].Theory Monthly,2019（12）：155-160.

[6]贺一堂,谢富纪．基于量子博弈的产学研协同创新激励机制研究[J].系统工程理论与实践，2019，39（6）：1435-1448．

HE Yitang,XIE Fuji.Research on incentive mechanism of industry-university-research collaborative innovation based on quantum game[J].System Engineering Theory and Practice,2019,39（6）:1435-1448.

[7]杨文娟,袁鹤馨．深圳科技计划对高校科研项目资助现状分析与思考[J].科研管理，2020，41（1）：285-288．

YANG Wenjuan,YUAN Hexin.Analysis and thinking on the status quo of the funding of scientific research projects in colleges and universities under the Shenzhen science and technology plan[J].Science Research Management,2020,41（1）:285-288.

[8]ALMUS M,CZARNITZKI D.The effects of public R&D subsidies on firms' innovation activities[J].Journal of Business & Economic Statistics,2003,21（2）:226-236.

[9]LICHTENBERG F R.The private R&D investment response to federal design and technical competitions[J].American Economic Review,2001,78（3）:550-559.

[10]崔百胜,朱麟．政府资助能有效激励创新吗？——基于创新系统视角下DSGE模型的分析[J].管理评论,2019,31（11）：80-93．

CUI Baisheng,ZHU Lin.Can government funding effectively stimulate innovation? ——Analysis of DSGE Model from the perspective of innovation system[J].Management Review,2019,31（11）：80-93.

[11]张杰,陈志远,杨连星,新夫．中国创新补贴政策的绩效评估：理论与证据[J].经济研究,2015,50（10）：4-17+33.

ZHANG Jie,CHEN Zhiyuan,YANG Lianxing,XIN Fu.Performance evaluation of China's innovation subsidy policy：Theory and evidence[J].Economic Research,2015,50（10）：4-17+33.

[12]DAVID P A,HALL B H,TOOLE A A.Is public R&D a complement or substitute for private R&D？A review of the econometric evidence[J].Research Policy,2000,29（4）：497-529.

[13]GUO D, GUO Y, JIANG K. Government-subsidized R&D and firm innovation:Evidence from China[J].Research Policy,2016,45（6）:1129-1144.

[14]杨修,朱晓暄.美联邦政府研发投入态势及对我国创新发展启示——基于2010～2019财年研发预算的分析[J].科学管理研究,2018,36（5）：113-116.

YANG Xiu,ZHU Xiaoxuan.Trends of R & D fund of the U.S. Federal Government and the suggestion of China: Evidence from FY2010-2018[J].Scientific Management Research,2018,36（5）:113-116.

[15]ANNAMARIA I.The evolution of university-industry-government relationships during transition[J].Research Policy,2004,33（6-7）:975-995.

[16]PAMELA M.Exploring the knowledge filter:How entrepreneurship and university-industry relationships drive economic growth[J].Research Policy,2006,35（10）：1499-1508.

[17]GULBRANDSEN M, SMEBY C. Industry funding and university professors research performance[J].Research Policy,2005,34（6）：923-950.

[18]邹洋,徐长媛,郭玲,闫浩．高校中政府研发补贴对企业研发投入的影响分析[J].经济问题，2016（4）：55-62．

ZOU Yang,XU Changyuan,GUO Ling,YAN Hao.Analysis of the impact of government R&D subsidies in universities on enterprise R&D investment[J].Economic Issues,2016（4）:55-62.

[19]杜龙政,林润辉.对外直接投资、逆向技术溢出与省域创新能力——基于中国省际面板数据的门槛回归分析[J].中国软科学,2018（1）：149-162．

DU Longzhen, LIN Runhui.Foreign direct investment, reverse technology spillover and provincial innovation capability——A threshold regression analysis based on China’s inter-provincial panel data[J].China Soft Science,2018（1）：149-162.

[20]白俊红，卞元超．政府支持是否促进了产学研协同创新[J].统计研究,2015,32（11）：43-50.

BAI Junhong, BIAN Yuanchao. Does the government support promote the collaborative innovation of industry, university and research[J].Statistical Research,2015，32（11）：43-50.

[21]SZCZYGIELISKI K,GRABOWSKI W,PAMUKCU T.Does government support for private innovation matter? Firm-level evidence from two catching-up countries[J].Research Policy,2017,46（1）：219-237.

[22]PEDRONI P. Critical values for cointegration tests in heterogeneous panels with multiple regressors[J].Oxford Bulletin of Economics and Statistics,1999,61（S1）：653-670.

[23]GREINER A,KAUERMANN G.Debt policy in Euro area countries:Evidence for Germany and Italy using penalized spine smoothing[J].Economic Modelling,2008,25（2）：1144-1154.

[24]李勃昕，韩先锋，刘斌．宏观税负是否影响了对外直接投资的创新溢出？[J].财政研究，2019（10）：87-99.

LI Boxin,HAN Xianfeng,LIU Bin.Does the macro tax burden affect the innovation spillover of foreign direct investment?[J].Financial Research,2019（10）:87-99.

基金

国家自然科学基金青年项目：“创新激励扭曲下R&D资金错配与全要素生产率损失的形成机理及测算”（71804140，2018.09—2021.06）；陕西省软科学研究计划项目：“陕西省校企协同创新成果转移转化的效率提升与对策研究”（2020KRM213，2020.06—2021.06）；陕西省教育厅科学研究计划项目：“互联网+背景下陕西省校企协同的创新效率提升与对策研究”（20JK0141，2020.06—2021.12）。