粤港澳大湾区技术创新效率评价研究--基于面板SFA随机前沿模型实证  

Researchon Evaluation of Technical Innovation Efficiency in Guang dong-Hong Kong-Macao Greater Bay Area

作　　者：刘湘云 周铚翔 Liu Xiangyun;Zhou Zhixiang(School of Entrepreneurship Education,Guangdong University of Finance and Economics;School of Finance,Guangdong University of Finance and Economics,Guangzhou 510320,China)

机构地区：[1]广东财经大学创业教育学院 [2]广东财经大学金融学院,广东广州510320

出　　处：《科技管理研究》2020年第7期67-74,共8页Science and Technology Management Research

基　　金：广东省科学技术厅软科学研究计划项目“新常态下广东科技金融产业协同创新发展模式与路径研究”(017A070706022);广东省普通高校创新团队建设项目“科技金融创新与大数据分析研究团队”(2017WCXTD004)。

摘　　要：利用SFA随机前沿模型,对粤港澳大湾区11个城市2006-2017年技术创新效率进行测度,分析技术创新效率的波动原因,进而对技术创新效率影响因素如产业结构、金融规模和政府规模等进行实证分析。实证结果表明,湾区总体上技术创新效率呈逐年增长趋势,广州、东莞地区最接近生产前沿面,深圳地区增速最快,珠海、澳门地区显著低于湾区平均水平;第三产业比重增加会降低湾区技术创新效率;金融规模对湾区技术创新效率有着显著正相关关系;政府对湾区技术创新效率贡献度不足。This paper mainly uses the SFA stochastic frontier model to measure the technological innovation efficiency of 11 cities in Guangdong-Hong Kong-Macao Greater Bay Area in 2006-2017, analyzes the causes of fluctuations in technological innovation efficiency, and the influencing factors of technological innovation efficiency such as industrial structure, financial scale, government. Empirical analysis of scale and soon. The empirical results show that the overall technological innovation efficiency of the Bay Area is increasing year by year. The Guangzhou and Dongguan areas are the closest to the production frontier. The Shenzhen area has the fastest growth rate. The Zhuhai and Macao areas are significantly lower than the Bay Area average. The tertiary industry has increased its proportion. It will reduce the efficiency of technological innovation in the Bay Area. The financial scale has a significant positive correlation with the technological innovation efficiency of the Bay Area. The government’s contribution to the technological innovation efficiency of the Bay Area is insufficient.

关 键 词：粤港澳大湾区 区域创新 随机前沿 技术效率 

分 类 号：F061.5[经济管理—政治经济学]