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新常态下江淮城市群发展水平及其驱动因素研究
引用本文:索飞.新常态下江淮城市群发展水平及其驱动因素研究[J].安徽农业大学学报(社会科学版),2016,25(6):54-60.
作者姓名:索飞
作者单位:安徽大学经济学院,安徽合肥,230601
基金项目:合肥区域经济与城市发展研究院资助招标项目(2015011:《区域性城市群竞争力研究——以江淮城市群为例》),安徽大学学术学位硕士研究生学术创新研究扶持和强化项目(yfc100111:《新常态下区域性城市群发展驱动力研究》)
摘    要:采用2000-2013年间面板数据,以江淮城市群为研究对象,测度其14年间的发展水平.在此基础上建立基于城市效应和时间效应的双向固定效应模型,分析江淮城市群发展的驱动因素.研究发现:科技创新、对外开放、制度因素、人文环境、基础设施要素对江淮城市群发展有正向驱动作用,而产业结构、企业因素、阶段性政府决策、人才培养要素对江淮城市群发展的贡献度有待进一步提升.据此提出对策建议:提高科技创新驱动能力,促进产业集约式发展;加大人才培养力度,提升对外开放水平;拓宽民营资本发展领域,优化中小企业投融资环境;完善基础设施建设,营造城乡人文环境,提升区域决策能力.

关 键 词:江淮城市群  发展水平指数  驱动因素  固定效应模型

Development Level of and Driving Factors for Jianghuai Urban Agglomeration under New Normal
SUO Fei.Development Level of and Driving Factors for Jianghuai Urban Agglomeration under New Normal[J].Journal of Anhui Agricultural University(Philosophy & Social Sciences Edition),2016,25(6):54-60.
Authors:SUO Fei
Institution:School of Economics, Anhui University
Abstract:This paper adopted penal data from 2000 to 2013 and measured development level of Jianghaui urban agglomeration during the fourteen years. Then, a two-way fixed effect model was set up based on city effect and time effect to identify factors driving the development of the urban agglomeration. The results show that: technological innovation, opening up, institutional factors, cultural environment and infrastructure had positive effects on the development of the urban agglomeration, but industrial structure, enterprises, phased government policies and talent cultivation required further improvement. Based on these findings, the paper suggested that it be necessary to enhance scientific and technological innovation ability, promote intensive growth of industries, strengthen efforts to cultivate talents, improve the level of opening up, broaden development range of private capital, optimize investing and financing environment for middle and small sized enterprises, perfect infrastructure construction, construct excellent cultural environment in both city and countryside, and improve regional policy making ability.
Keywords:Jianghuai urban agglomeration  development level index  driving factors  fixed effect model
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