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地理学报 >

2025 , Vol. 80 >Issue 4: 1009 - 1030

DOI: https://doi.org/10.11821/dlxb202504010

城市与区域发展

中国区域经济差异时空演变及其多尺度效应

  • 王圣云 , 1, 2 ,
  • 潘柳欣 2 ,
  • 王振波 , 3
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  • 1.南昌大学中国中部经济社会发展研究中心，南昌 330031
  • 2.南昌大学经济管理学院，南昌 330031
  • 3.中国科学院地理科学与资源研究所，北京 100101
王振波(1980-), 男, 山东禹城人, 研究员, 主要从事城市与区域规划研究。E-mail:

王圣云(1977-), 男, 山西河曲人, 研究员, 主要从事区域经济与福祉地理学研究。E-mail:

收稿日期: 2023-11-29

  修回日期: 2024-08-31

  网络出版日期: 2025-04-23

基金资助

国家自然科学基金项目(42061026)

收起

Spatio-temporal evolution and multi-scale effects of regional economic differences in China

  • WANG Shengyun , 1, 2 ,
  • PAN Liuxin 2 ,
  • WANG Zhenbo , 3
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  • 1. Research Center of the Central China for Economic and Social Development, Nanchang University, Nanchang 330031, China
  • 2. School of Economics and Management, Nanchang University, Nanchang 330031, China
  • 3. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China

Received date: 2023-11-29

  Revised date: 2024-08-31

  Online published: 2025-04-23

Supported by

National Natural Science Foundation of China(42061026)

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摘要

不断缩小区域经济差异，增强区域发展平衡性，是中国实施区域协调发展战略的应有之义。本文融合夜间灯光数据与GDP统计数据构建实际经济指数（GEI），运用泰尔指数、尺度方差模型和空间过滤模型对2000—2020年中国区域经济差异时空演变进行了多尺度分析。研究发现：① 2000—2020年中国区域经济绝对差异逐年扩大，但相对差异整体趋于缩小；② 不同区域划分下，中国区域经济尺度方差均呈现出市级>县级>省级>大区域的递减格局，市级的尺度方差增幅最大且贡献率最高，缩小市间差异是缩小中国区域经济差异的关键；③ 2000—2020年空间自相关对中国区域经济差异的贡献率由23.804%提高至26.079%，不考虑空间自相关因素会导致对中国区域经济差异的高估；④ 空间自相关对区域经济差异的影响具有尺度敏感性，空间尺度越小，区域经济差异对空间自相关的敏感性越强。经空间过滤后，即剔除空间自相关因素后，中国区域经济差异由市间差异最大变为县域间差异最大；⑤ 人力资本、产业结构、消费规模、财政分权对中国实际经济指数的影响显著为正，但这些因素对中国区域经济差异的影响存在明显的区域异质性。本文可为中国实施区域协调发展战略提供多尺度、精细化、差异化的决策参考。

关键词： 区域经济差异; 实际经济指数（GEI）; 三阶段嵌套泰尔指数; 尺度方差; 空间过滤模型

本文引用格式

王圣云 , 潘柳欣 , 王振波 . 中国区域经济差异时空演变及其多尺度效应[J]. 地理学报, 2025 , 80(4) : 1009 -1030 . DOI: 10.11821/dlxb202504010

Abstract

Narrowing the gap of regional economic development and maintaining the balanced development path is the indispensable goals of China's regional coordinated development. In this study, the nighttime light image data and GDP statistical data are integrated to construct the Genuine Economic Index (GEI). Based on GEI, the Theil index, scale variance model, and the spatial filtering model are combined to analyze the spatial and temporal evolution of China's regional economic discrepancy from a multi-scale perspective. The results show that: (1) China's absolute regional economic differences expanded year by year, while the relative regional economic differences tended to shrink overall from 2000 to 2020. (2) Under different regional divisions, the scale variance of China's regional economy is manifested as municipal scale > county scale > provincial scale > regional scale, with the largest increase and highest contribution rate on the municipal scale. Narrowing inter-municipal gap is the key to decrease China's regional economic differences. (3) The contribution rate of spatial autocorrelation increased from 23.804% to 26.079% during 2000-2020. Regardless of spatial autocorrelation factors will lead to an overestimation of China's regional economic differences. (4) The impact of spatial autocorrelation on regional economic differences is scale sensitive, the smaller the spatial scale is, the stronger the sensitivity is. After spatial filtering, inter-county economic differences have been the largest part of China's regional economic differences. (5) Human capital, industrial structure, consumption scale and fiscal decentralization have a significant positive impact on China's Genuine Economic Index, however these factors show an obvious regional heterogeneity. This study could provide a multi-scale, refined and differentiated reference for the implementation of China's regional coordinated development strategy.

Key words： regional economic differences; Genuine Economic Index (GEI); three-stage nested Theil index; scale variance; spatial filtering model

感谢周杰文副教授提供部分基础数据，感谢博士生姜婧在建模方面给予的协助，感谢审稿专家细致且有高度的修改建议。

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