期刊文献+

新时代河南创新驱动发展绩效测评及政策调适 被引量:1

Performance Evaluation and Policy Adjustment of Innovation Driven Development in Henan Province in the New Era
下载PDF
导出
摘要 采用BC^2视窗分析模型从效率变革的视角对2010—2018年河南省创新驱动发展绩效进行测评,并引入灰色系统GM(0,N)模型对四类城市创新驱动发展效率演化的驱动因素进行分析研究,得出如下结论:全省创新驱动发展效率的平均值为0.898,还存在较大提升空间;整体上看,农业大市创新驱动发展效率均值最高,历史名城次之,资源城市第三,创新城市最低;无论是四类城市内部,还是全省18个省辖市之间,创新驱动发展效率都不存在严格意义上的收敛性;创新驱动发展系统的可持续性由高到低依次为历史名城、资源城市、创新城市和农业大市;互联网是创新城市和历史名城的首要制约因素,金融发展和人文环境分别是资源城市和农业大市的首要制约因素。 This paper uses BC^2 window analysis model to evaluate the performance of innovation driven development in Henan Province from 2010 to 2018 from the perspective of efficiency change,and introduces GM(0,N)model to analyze the driving factors of four types of urban innovation driven development efficiency evolution.The main conclusions are as follows:the average value of innovation driven development efficiency in Henan Province is 0.898,and there is still much room for improvement.On the whole,the average value of innovation driven development efficiency of agricultural cities is the highest,followed by historical cities,resource cities are the third,and innovation cities are the lowest.There is no strict convergence in the efficiency of innovation driven development,either within the four types of cities or among the 18 provincial cities.The sustainability of innovation driven development system from high to low is in the order of historical city,resource city,innovative city and agricultural city.Internet is the primary constraint of innovative city and historical city,and financial development and human environment are the primary constraints of resource city and agricultural city respectively.
作者 吴旭晓 Wu Xuxiao
出处 《区域经济评论》 北大核心 2020年第6期136-145,共10页 Regional Economic Review
基金 2020年度河南省软科学研究项目“‘十四五’时期河南省创新驱动发展的路径选择与政策体系研究”(202400410160)。
关键词 创新驱动发展 绩效测评 政策调适 GM(0 N)模型 Innovation Driven Development Performance Evaluation Policy Adjustment GM(0,N)Model
  • 相关文献

参考文献18

二级参考文献259

共引文献3894

同被引文献16

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部