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中国城市群生产性服务业分布动态、差异分解与收敛性

梁红艳1

(1.福州大学经济与管理学院)
【知识点链接】城市群; 变异系数

【摘要】研究目标:八大城市群生产性服务业发展的分布动态、区域差异及其收敛性。研究方法:基于2003~2015年中国地级及以上城市面板数据, 运用核密度估计方法、Dagum基尼系数分析八大城市群生产性服务业发展的分布动态与区域差异, 并利用变异系数与空间面板收敛模型检验其σ收敛、β收敛、俱乐部收敛。研究发现:八大城市群生产性服务业发展都呈现两极或多极分化现象, 具有鲜明的梯度特征。城市群的总体相对差异呈缓慢上升趋势, 区域间差异是总体差异的主要来源, 区域内差异的贡献最低。八大城市群中, 仅京津冀、长江中游存在σ收敛;除珠三角外, 其他城市群均存在绝对β收敛;八大城市群都存在条件β收敛;三个不同功能等级城市群存在俱乐部收敛。空间外溢只是少数区域β收敛的影响因素, 多数区域尚未表现出显著的空间外溢。提高工业发展水平、降低运输费用、增强知识外溢、优化制度环境对不同城市群区域内差异缩小的作用存在异质性。研究创新:刻画了城市群生产性服务业发展的分布动态, 测度了其区域差异及其来源, 揭示了其收敛机制以及空间溢出在收敛进程中的作用。研究价值:为分析中国城市群生产性服务业的空间格局与区域差异提供了依据, 也对促进城市群协调发展具有政策启示。

【关键词】 城市群;生产性服务业;差异分解;收敛;空间外溢;

【DOI】

【基金资助】 教育部人文社会科学青年基金项目“中国生产性服务业发展的影响因素及其空间效应研究” (14YJC790074) ; 福建省社会科学研究基地重大项目“供给侧改革下我国物流业发展的动力机制研究” (2016JDZ049) ;

Distribution dynamics, difference decomposition and convergence mechanism of producer services in Chinese urban agglomerations

LIANG Hongyan1

(1.School of Economics and Management, Fuzhou University)

【Abstract】Research objectives: This paper studied distribution dynamics, regional difference and convergence mechanism of the producer services development in eight Chinese urban agglomerations. Research methods: Based on the panel data of Chinese cities at the prefecture level and above from 2003 to 2015, this paper used kernel density estimation method to characterize the distribution dynamics, adopted Dagum Gini coefficient to decompose the regional difference, further used coefficient of variation to analyze their σ-convergence, and established spatial panel data model to test their β-convergence and club convergence. Research findings: Producer services development in each urban agglomeration has distinct gradient with bipolar or multipolar differentiation. The overall relative difference of the producer services development shows a slowly upward trend. The differences between urban agglomerations are the major source of overall difference, while the differences within urban agglomeration make minimal contribution. Producer services development shows typical σ-convergence in Beijing-Tianjin-Hebei and the Middle Reaches of the Yangtze River urban agglomerations, while none in other urban agglomerations. Except for the Pearl River Delta Urban Agglomeration, other seven urban agglomerations all have a significant absolute β-convergence. Eight urban agglomerations all have a significant conditional β-convergence. Moreover, three layers of urban agglomerations classified by function all have significant club convergence. However, spatial spillover partly contributes to β-convergence in only a few regions, and most regions have not yet shown significant spatial spillover. In addition, improving industrial development level, reducing transportation cost, strengthening knowledge spillover and optimizing institutional environment have different effects on the narrowing of regional difference within different urban agglomerations. Research innovations: This paper analyzed the distribution dynamics of the producer services development in eight Chinese urban agglomerations, explored the sources of regional difference, and revealed the effect of spatial spillovers in the convergence. Research value: This study provided evidences to evaluate the spatial structure and regional difference of producer services development in Chinese urban agglomerations. It has important policy implications for promoting the coordinated development of urban agglomerations.

【Keywords】 urban agglomerations; producer services; difference decomposition; convergence; spatial spillover;

【DOI】

【Funds】 Humanities and Social Sciences Youth Fund Project of the Ministry of Education of China (14YJC790074); Major Project of Fujian Social Sciences Research Base (2016JDZ049);

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    Footnote

    [1]. ① Chaohu City was cancelled in 2011. Sansha City was established in 2012. Danzhou City was established in 2015. Bijie City was established in 2011. Tongren City was established in 2011. Haidong City was established in 2013. Zhongwei City was approved to be established in April 2004. Longnan City was approved to be established in January 2004. The time when these cities were established or cancelled does not coincide with the research period in this paper, and there is serious missing of data of Lhasa City, so the research sample does not include these nine regions. [^Back]

    [2]. ② The specific results of the average development level of producer services in China’s eight urban agglomerations from 2003 to 2015 are available upon request. [^Back]

    [3]. ③ Due to space limitation, the calculation results of coefficient of variation are not reported here, which are available upon request. [^Back]

    [4]. ④ Due to space limitation, the calculation results of Moran’s I are not reported here, which are available upon request. [^Back]

    [5]. ⑤ Due to space limitation, the test results are not reported here and are available upon request. [^Back]

    [6]. ⑥ Due to space limitation, this paper only gives the estimates of convergence coefficient of the club convergence test and spatial coefficient. Results of the fixed effect test, Hausman test, (Robust) LM test, Wald and LR test and control variable estimation coefficients are available upon request. [^Back]

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This Article

ISSN:1000-3894

CN:11-1087/F

Vol 35, No. 12, Pages 40-60

December 2018

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Article Outline

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Abstract

  • Introduction
  • 1 Research methods and data
  • 2 Stylized facts
  • 3 Distribution dynamics of producer services development in eight urban agglomerations
  • 4 Difference decomposition of producer services development in the eight urban agglomerations
  • 5 Convergence analysis of producer services development in eight urban agglomerations
  • 6 Conclusions and implications
  • Footnote

    References