我国“一带一路”区域科技金融效率及影响因素研究——基于三阶段DEA与Tobit模型
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摘要
基于三阶段DEA探究我国"一带一路"区域2012～2016年科技金融效率及其空间分布差异,最后建立Tobit模型对影响因素进行分析。研究结果表明:剔除环境因素后科技金融效率显著下降,其中较低的规模效率是制约效率提高的深层原因,东南板块综合效率最高,西北板块综合效率不容乐观。高技术产业规模、企业对科研的资金支持力度、地区法制化水平、技术创新程度与科技金融效率呈显著正相关;政府财政科研支出对其存在消极影响。为此提出合理配置财政科技资源、加强科研经费投入力度、提高区域法制化水平、鼓励科技创新等政策建议。
Based on the three-stage DEA,this paper explored the differences in the efficiency of science and technology finance and its spatial dis-tribution in China's the Belt and Road region from 2012 to 2016. Finally,the Tobit model was established to analyze the influencing factors. The research results show that the efficiency of science and technology finance is significantly reduced after removing environmental factors. The lower scale efficiency is the deeper reason for restricting efficiency. The southeast plate has the highest comprehensive efficiency,and the comprehensive efficiency of the northwest plate is not optimistic. The scale of high-tech industries,the financial support of enterprises for scientific research,the level of regional legalization,the level of technological innovation are significantly positively correlated with the efficiency of science and technology finance. The government's fiscal research expenditure has a negative impact on it. Finally,this paper puts forward policy recommendations such as rational allocation of financial science and technology resources,increasing investment in scientific research funds,raising the level of regional legalization,and encouraging scientific and technological innovation.
Based on the three-stage DEA,this paper explored the differences in the efficiency of science and technology finance and its spatial dis-tribution in China's the Belt and Road region from 2012 to 2016. Finally,the Tobit model was established to analyze the influencing factors. The research results show that the efficiency of science and technology finance is significantly reduced after removing environmental factors. The lower scale efficiency is the deeper reason for restricting efficiency. The southeast plate has the highest comprehensive efficiency,and the comprehensive efficiency of the northwest plate is not optimistic. The scale of high-tech industries,the financial support of enterprises for scientific research,the level of regional legalization,the level of technological innovation are significantly positively correlated with the efficiency of science and technology finance. The government's fiscal research expenditure has a negative impact on it. Finally,this paper puts forward policy recommendations such as rational allocation of financial science and technology resources,increasing investment in scientific research funds,raising the level of regional legalization,and encouraging scientific and technological innovation.
引文
[1]赵丹妮.“一带一路”创新驱动科技金融“试验田”运行模式研究[J].科学管理研究,2015,33(4):110-112.
[2]曹颢,尤建新,卢锐,等.我国科技金融发展指数实证研究[J].中国管理科学,2011(3):134-140.
[3]肇启伟,付剑峰,刘洪江.科技金融中的关键问题——中国科技金融2014年会综述[J].管理世界,2015(3):164-167.
[4] KING R G,LEVINE R. Finance and growth:schumpeter might be right[J]. The quarterly journal of economics,1993,108(3):717-737.
[5] LEVINE R. Financial development and economic growth:views and agenda[J]. Journal of economic literature,1997,35(2):688-726.
[6] GERARD G,GANESH N P.Developmental financial institutions as technology policy instruments:implications for innovation and entrepreneurship in emerging economics[J].Research policy,2003,32(1):89-108.
[7]杜金岷,梁岭,吕寒.金融发展促进科技成果产业化的区域异质性研究[J].华南师范大学学报(社会科学版),2017(6):109-115,191.
[8]陆燕春,朋振江.我国科技金融理论研究综述[J].科技进步与对策,2013,30(16):156-160.
[9]肖维.对黄石市科技金融发展路径的调查与思考——基于武汉城市圈副中心视角[J].武汉金融,2017(7):72-74.
[10]徐玉莲,王玉冬.区域科技金融资金的配置效率研究[J].科学管理研究,2015,33(2):93-96.
[11]杜金岷,梁岭,吕寒.中国区域科技金融效率研究——基于三阶段DEA模型分析[J].金融经济学研究,2016,31(6):84-93.
[12]张明龙.我国金融支持科技创新的效率评价:基于超效率DEA与Malmquist指数方法[J].金融发展研究,2015(6):18-25.
[13]徐玉莲,赵文洋,张涛.科技金融成熟度评价指标体系构建与应用[J].科技进步与对策,2017,34(11):118-124.
[14]李林汉,王宏艳,田卫民.基于三阶段DEA-Tobit模型的省际科技金融效率及其影响因素研究[J].科技管理研究,2018,38(2):231-238.
[15]樊纲.克服信贷萎缩与银行体系改革——1998年宏观经济形势分析与1999年展望[J].经济研究,1999(1):5-10,54.
[16]芦锋,韩尚容.我国科技金融对科技创新的影响研究——基于面板模型的分析[J].中国软科学,2015(6):139-147.
[17]陈敏,李建民.金融中介对我国区域科技创新效率的影响研究——基于随机前沿的距离函数模型[J].中国科技论坛,2012(11):85-90.
[18]张元萍,刘泽东.金融发展与技术创新的良性互动:理论与实证[J].中南财经政法大学学报,2012(2):67-73,92,143-144.
[19]程慧平,万莉,黄炜,等.中国省际R&D创新与转化效率实证研究[J].管理评论,2015,27(4):29-37.
[20]俞立平.金融支持、政府与企业投入对科技创新的贡献研究[J].科研管理,2015,36(3):57-63.
[2]曹颢,尤建新,卢锐,等.我国科技金融发展指数实证研究[J].中国管理科学,2011(3):134-140.
[3]肇启伟,付剑峰,刘洪江.科技金融中的关键问题——中国科技金融2014年会综述[J].管理世界,2015(3):164-167.
[4] KING R G,LEVINE R. Finance and growth:schumpeter might be right[J]. The quarterly journal of economics,1993,108(3):717-737.
[5] LEVINE R. Financial development and economic growth:views and agenda[J]. Journal of economic literature,1997,35(2):688-726.
[6] GERARD G,GANESH N P.Developmental financial institutions as technology policy instruments:implications for innovation and entrepreneurship in emerging economics[J].Research policy,2003,32(1):89-108.
[7]杜金岷,梁岭,吕寒.金融发展促进科技成果产业化的区域异质性研究[J].华南师范大学学报(社会科学版),2017(6):109-115,191.
[8]陆燕春,朋振江.我国科技金融理论研究综述[J].科技进步与对策,2013,30(16):156-160.
[9]肖维.对黄石市科技金融发展路径的调查与思考——基于武汉城市圈副中心视角[J].武汉金融,2017(7):72-74.
[10]徐玉莲,王玉冬.区域科技金融资金的配置效率研究[J].科学管理研究,2015,33(2):93-96.
[11]杜金岷,梁岭,吕寒.中国区域科技金融效率研究——基于三阶段DEA模型分析[J].金融经济学研究,2016,31(6):84-93.
[12]张明龙.我国金融支持科技创新的效率评价:基于超效率DEA与Malmquist指数方法[J].金融发展研究,2015(6):18-25.
[13]徐玉莲,赵文洋,张涛.科技金融成熟度评价指标体系构建与应用[J].科技进步与对策,2017,34(11):118-124.
[14]李林汉,王宏艳,田卫民.基于三阶段DEA-Tobit模型的省际科技金融效率及其影响因素研究[J].科技管理研究,2018,38(2):231-238.
[15]樊纲.克服信贷萎缩与银行体系改革——1998年宏观经济形势分析与1999年展望[J].经济研究,1999(1):5-10,54.
[16]芦锋,韩尚容.我国科技金融对科技创新的影响研究——基于面板模型的分析[J].中国软科学,2015(6):139-147.
[17]陈敏,李建民.金融中介对我国区域科技创新效率的影响研究——基于随机前沿的距离函数模型[J].中国科技论坛,2012(11):85-90.
[18]张元萍,刘泽东.金融发展与技术创新的良性互动:理论与实证[J].中南财经政法大学学报,2012(2):67-73,92,143-144.
[19]程慧平,万莉,黄炜,等.中国省际R&D创新与转化效率实证研究[J].管理评论,2015,27(4):29-37.
[20]俞立平.金融支持、政府与企业投入对科技创新的贡献研究[J].科研管理,2015,36(3):57-63.