文章摘要
Zhang Hu,Han Aihua.Spatial Features Analysis of the Size Distribution of Manufacturing Industry and Producer Services in China[J].The Journal of quantitative and technical economics,2018,(9):91-109
中国城市制造业与生产性服务业规模分布的空间特征研究
Spatial Features Analysis of the Size Distribution of Manufacturing Industry and Producer Services in China
  
DOI:
中文关键词: 规模分布  时空演进  Dagum基尼系数  空间马尔科夫转移
英文关键词: Size Distribution  Spatio-temporal Evolution  Dagum Gini Coefficient  Space Markov Transition
基金项目:本文获得国家社会科学基金项目(17BTJ017)、全国统计科学研究项目(2017686)的资助。
Author NameAffiliation
Zhang Hu Mathematics and Statistics School, Zhongnan University of Economics and Law 
Han Aihua Mathematics and Statistics School, Zhongnan University of Economics and Law
Statistics and Mathematics School,Guizhou University of Finance and Economics 
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中文摘要:
      研究目标:从时空演进视角分析制造业与生产性服务业规模分布的空间特征。研究方法:本文采用2003~2015年中国城市数据,基于Pareto指数测算制造业与生产性服务业规模分布,基于Dagum基尼系数分解刻画制造业与生产性服务业规模分布的空间差异,基于空间马尔科夫链模型分析相邻地区产业规模分布空间转移效应,深入考察制造业与生产性服务业规模分布的空间差异及影响机制。研究发现:制造业与生产性服务业规模分布在年度和省域层面产业空间结构具有良好的稳健性。Dagum基尼系数分解结果显示制造业与生产性服务业存在空间分异,空间马尔科夫链模型得到生产性服务业规模分布受相邻省域的影响更加显著。研究创新:探索制造业与生产性服务业规模分布空间特点,试图从时空角度理解近年来中国产业空间结构调整与动态演变规律。研究价值:有助于指导产业空间结构调整与产业空间协调发展。
英文摘要:
      Research Objectives: Analyze the spatial characteristics of the scale distribution of manufacturing and producer services from the perspective of spatiotemporal evolution. Research Methods:This paper uses Chinese urban data from 2003 to 2015, estimates the distribution of manufacturing and producer services based on the Pareto index, and uses the Dagum Gini coefficient to decompose the spatial differences in the distribution of manufacturing and producer services. Based on the spatial Markov chain model, we analyze the spatial distribution effect of industrial scale distribution in neighboring regions, and thoroughly examine the spatial differences and influence mechanisms of the scale distribution of manufacturing and producer services. Research Findings:The scale of manufacturing and producer services is distributed at the annual and provincial levels, the spatial structure of the industry has a good robustness. The Dagum Gini coefficient decomposition results show that there is a spatial difference between manufacturing and producer services, and the spatial Markov chain model shows that the scale of producer services is more affected by the neighboring provinces. Research Innovations: To explore the spatial distribution characteristics of manufacturing and producer services, and try to understand the rules of China‘s industrial spatial structure adjustment and dynamic evolution in recent years. Research Value:It will help guide the adjustment of industrial spatial structure and the coordinated development of industrial space.
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