我国城市对科技创新人才的综合吸引力研究——基于舒适物理论的评价指标体系构建与实证  被引量:51

Research on the city attraction for science and technology innovation talents ——Construction of evaluation indicator system and empirical analysis based on amenities theory

在线阅读下载全文

作  者:叶晓倩[1] 陈伟[1] YE Xiao-qian;CHEN Wei(School of Economics and Management, Wuhan University, Wuhan 430072 , China)

机构地区:[1]武汉大学经济与管理学院

出  处:《科学学研究》2019年第8期1375-1384,共10页Studies in Science of Science

基  金:教育部人文社会科学研究规划基金项目(16YJA630066)

摘  要:基于舒适物理论,从自然生态环境、经济发展水平、社会生活环境、公共服务水平、科教创新环境等方面构建了5个一级指标和49个二级指标组成的城市对科技创新人才的综合吸引力评价指标体系,运用熵值法和聚类分析法,对中国33个主要城市的综合吸引力进行了评价和对比分析。研究结果显示,北上广深等城市综合吸引力明显高于中西部城市,但各城市在不同维度的得分存在较大差异,具有不同的优势组合。各城市应结合自身特点与区位条件,有针对性地出台相应政策以吸引科技创新人才。Based on the amenities theory, this paper proposed an indicator system in five aspects including natural ecological environment, economic development level, social living environment, public service level, and science and education innovation environment, to evaluate a city’s attraction for Science and Technology Innovation Talents. This indicator system includes 5 categories of urban amenities and 49 indicators. By using entropy method and cluster analysis, the evaluation and comparative analysis of the comprehensive attractiveness of 33 major cities in China was carried out. The results show that big cities’ attractiveness such as Beijing, Shanghai, Guangzhou and Shenzhen are obviously higher than the cities in the central and western regions, and the scores of different cities in different dimensions are quite different, which means that different cities have different advantages and disadvantages. Major cities should combine their own characteristics and location conditions, then introduce corresponding policy systems to better attract Science and Technology Innovation Talents.

关 键 词:舒适物理论 科技创新人才 城市综合吸引力 指标体系 熵值法 

分 类 号:F299.2[经济管理—国民经济] C962[经济管理—人力资源管理]

 

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