中国生产性服务业促进制造业升级影响因素研究——基于超效率DEA和Tobit模型的实证分析

发布时间：2018-01-01 08:19

本文关键词：中国生产性服务业促进制造业升级影响因素研究——基于超效率DEA和Tobit模型的实证分析　出处：《商业研究》2017年06期 　论文类型：期刊论文

【摘要】：生产性服务业对制造业升级的促进作用取决于其作为高级要素投入功能的发挥。基于超效率DEA模型和Tobit模型,本文从产业关联效率视角实证分析了2005-2014年中国生产性服务业对制造业升级的促进作用及其影响因素。结果显示:中国生产性服务业对制造业升级的促进作用效率尚不够高,且发达地区作用效率高于欠发达地区;作用效率受到信息化水平和协同集聚水平的显著正向影响,但不同发展水平地区的表现存在差异,而且作用效率还受到生产性服务业规模的显著负向影响。因此,要有效发挥中国生产性服务业对制造业升级的促进作用,应当注重降低生产性服务交易成本,提高产业协同集聚水平,从"规模化"向"效率化"思维转变。
[Abstract]:Upgrading of producer services on manufacturing industry depends on its role as a play advanced factor input function. The super efficiency DEA model and Tobit model based on 2005-2014, this paper analyzes the upgrading of years China production service industry promotion to the manufacturing industry and its influential factors from the view of Industry Association. The results showed: the empirical analysis of the efficiency of production China upgrade the service industry to promote manufacturing efficiency is still not high enough, and the role of developed area efficiency is higher than that of underdeveloped areas; role of efficiency by informatization level and co agglomeration level have significant positive effect, but there are differences in different regions of the development level of performance, and efficiency is also affected by the size of producer services significantly negative effect therefore, to effectively upgrade Chinese production services to the manufacturing role, should focus on reducing the productive service trade cost, increase production The level of cooperative agglomeration has changed from "scale" to "efficiency".

【作者单位】：复旦大学经济学院;江苏省社会科学院区域现代化研究院;
【基金】：国家社科基金特别委托项目;国家社科基金项目,项目编号:14CJL011 中宣部马克思主义理论研究和建设工程重大项目,项目编号:2016MSJ010 江苏省社科院青年项目,项目编号:QN1610
【分类号】：F424;F719
【正文快照】： 一、引言随着信息通讯技术的快速发展和产业分工的不断细化,生产性服务业作为独立的产业部门,凭其强大的支撑功能成为制造业增长的牵引力和推进器,是制造业“起飞的翅膀”和“聪明的脑袋”(刘志彪,2008)。长期以来,国外诸多学者的研究已从不同角度阐释了生产性服务业对制造业

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