我国国家级新区产业创新效率研究及对雄安的启示  被引量:8

Research on the Industrial Innovation Efficiency of State-level New Areas of China and Its Enlightenment to Xiong'an New Area

在线阅读下载全文

作  者:赵玉帛 张贵[1,2] Zhao Yubo;Zhang Gui(School of Economics and Management,Hebei University of Technology,Tianjin 300401,China;College of Economic and Social Development,Nankai University,Tianjin 300701,China)

机构地区:[1]河北工业大学经济管理学院,天津300401 [2]南开大学经济与社会发展研究院,天津300701

出  处:《科技管理研究》2020年第24期71-77,共7页Science and Technology Management Research

基  金:国家社会科学基金重大项目“雄安新区创新生态系统构建机制与路径研究”(18ZDA044)。

摘  要:采用超效率数据包络分析(DEA)方法,分别对不考虑和考虑非期望产出两种情形下我国国家级新区产业创新效率进行测度,并进一步利用面板Tobit回归模型对产业创新效率影响因素进行探究。研究结果表明:两种情形下我国国家级新区产业创新效率呈现同步变动、逐年下降态势;中西部地区后成立的新区产业创新效率较高,而先成立的东部经济发达地区新区产业创新效率较低;政府支持和金融服务对国家级新区产业创新效率具有显著正向作用。基于此,对雄安新区产业发展从政府服务、金融创新和智慧物流三方面提出对策建议。In this paper,the Super-efficiency DEA is used to measure the industrial innovation efficiency of state-level new areas of China under two situations of not considering and considering undesired output,and further,the panel Tobit regression model is used to explore the factors affecting industrial innovation efficiency.The results show that under the two situations,the industrial innovation efficiency of state-level new areas of China show a simultaneous change and a trend of declining year by year;the new areas established later in Central China and Western China have higher industrial innovation efficiency,while the new areas newly established in the economically developed regions of Eastern China are lower;government support and financial services have a significant positive effect on state-level new areas.Based on this,the paper puts forward countermeasures and suggestions for the industrial development of Xiong'an New Area from three aspects:government service,financial innovation and intelligent logistics.

关 键 词:国家级新区 产业 创新效率 雄安新区 

分 类 号:F124.3[经济管理—世界经济] F207

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象