Regional differences and spatial convergence of industrial structure optimization and upgrading in the Yangtze River economic belt under the background of green development

doi:10.3969/j.issn.1004-9479.2021.05.2020051

Abstract

Abstract:

Based on the two indicators of industrial structure optimization and rationalization, with the help of the gravity model, dagum Gini coefficient and spatial convergence method, this paper analyzes the regional differences and spatial convergence of industrial structure optimization and upgrading in the Yangtze River economic belt from 2000 to 2017. The results show that: (1) the optimization and upgrading of the industrial structure of the Yangtze River Economic Belt presents a significant spatial imbalance, and the imbalance in the east-west direction is greater than that in the north-south direction; the optimization and upgrading level of the industrial structure of the Yangtze River Economic Belt presents a gradient decreasing pattern from the east to the middle to the west, and the East, the middle and the west regions all present the spatial distribution characteristics of "center periphery". (2)The overall difference of industrial structure in the Yangtze River economic belt is decreasing, the overall difference of industrial structure rationalization is fluctuating and expanding, and the regional difference of industrial structure optimization and upgrading is the first source of the overall difference. (3)In the industrial structure of the Yangtze River economic belt, there are convergence, convergence and club convergence. In the industrial structure rationalization, there are convergence and club convergence. (4)There are regional differences in convergence influencing factors. Human capital and market scale have a significant positive effect on promoting the convergence of industrial structure optimization and upgrading of the Yangtze River economic belt as a whole, the eastern and western regions, but they do not promote the convergence of the central region.

Key words: industrial structure optimization and upgrading, regional differences, spatial convergence, green development, Yangtze River Economic Belt

摘要：

基于产业结构高度化和产业结构合理化两个指标，借助重心模型、Dagum基尼系数、空间收敛方法，分析2000—2017年长江经济带产业结构优化升级的地区差异和空间收敛性。研究发现：①长江经济带产业结构优化升级呈现显著的空间非均衡性，东西方向的非均衡性大于南北方向；长江经济带产业结构优化升级水平呈现东-中-西梯度式递减格局，东、中、西部地区均呈现“中心-外围”空间分布特征；②长江经济带产业结构高度化的总体差异不断减小，产业结构合理化的总体差异呈波动扩大趋势，产业结构优化升级的地区间差异是总体差异的第一来源；③长江经济带产业结构高度化存在σ收敛、β收敛和俱乐部收敛，产业结构合理化存在β收敛和俱乐部收敛；④收敛影响因素存在差异性，人力资本和市场规模对促进长江经济带整体、东部和西部地区产业结构优化升级的收敛具有促进作用，政府干预对产业结构优化升级的收敛具有抑制作用。

关键词: 产业结构优化升级, 地区差异, 空间收敛, 绿色发展, 长江经济带

Yue ZHANG, Li LIU. Regional differences and spatial convergence of industrial structure optimization and upgrading in the Yangtze River economic belt under the background of green development[J]. World Regional Studies, 2021, 30(5): 991-1004.

张跃, 刘莉. 绿色发展背景下长江经济带产业结构优化升级的地区差异及空间收敛性[J]. 世界地理研究, 2021, 30(5): 991-1004.

Figures/Tables 8

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年份	产业结构高度化						产业结构合理化
年份	Gw	Gnb	Gt	Gw 贡献度	Gnb 贡献度	Gt 贡献度	Gw	Gnb	Gt	Gw 贡献度	Gnb 贡献度	Gt 贡献度
2000	0.076	0.179	0.059	24.3%	57.0%	18.8%	0.150	0.095	0.017	57.2%	36.4%	6.4%
2003	0.067	0.194	0.048	21.6%	62.8%	15.6%	0.181	0.134	0.037	51.4%	38.1%	10.5%
2006	0.067	0.154	0.048	25.0%	57.3%	17.8%	0.119	0.200	0.009	34.3%	62.9%	2.8%
2009	0.075	0.110	0.052	31.7%	46.4%	22.0%	0.134	0.137	0.162	28.9%	33.7%	37.4%
2012	0.079	0.070	0.088	33.2%	29.7%	37.1%	0.143	0.171	0.091	35.2%	42.3%	22.5%
2015	0.074	0.068	0.072	34.4%	31.9%	33.6%	0.111	0.125	0.094	33.7%	37.9%	28.4%
2017	0.069	0.089	0.053	32.6%	42.4%	24.9%	0.133	0.137	0.103	34.7%	37.6%	27.7%
均值	0.073	0.123	0.061	28.9%	46.6%	24.5%	0.136	0.137	0.08	39.3%	39.6%	21.1%

年份	产业结构高度化						产业结构合理化
年份	Gw	Gnb	Gt	Gw 贡献度	Gnb 贡献度	Gt 贡献度	Gw	Gnb	Gt	Gw 贡献度	Gnb 贡献度	Gt 贡献度
2000	0.076	0.179	0.059	24.3%	57.0%	18.8%	0.150	0.095	0.017	57.2%	36.4%	6.4%
2003	0.067	0.194	0.048	21.6%	62.8%	15.6%	0.181	0.134	0.037	51.4%	38.1%	10.5%
2006	0.067	0.154	0.048	25.0%	57.3%	17.8%	0.119	0.200	0.009	34.3%	62.9%	2.8%
2009	0.075	0.110	0.052	31.7%	46.4%	22.0%	0.134	0.137	0.162	28.9%	33.7%	37.4%
2012	0.079	0.070	0.088	33.2%	29.7%	37.1%	0.143	0.171	0.091	35.2%	42.3%	22.5%
2015	0.074	0.068	0.072	34.4%	31.9%	33.6%	0.111	0.125	0.094	33.7%	37.9%	28.4%
2017	0.069	0.089	0.053	32.6%	42.4%	24.9%	0.133	0.137	0.103	34.7%	37.6%	27.7%
均值	0.073	0.123	0.061	28.9%	46.6%	24.5%	0.136	0.137	0.08	39.3%	39.6%	21.1%

变量	产业结构高度化				产业结构合理化
变量	整体	东部	中部	西部	整体	东部	中部	西部
β	-0.101^*** （-7.69）	-0.162^*** （-6.55）	-0.154^*** （-6.68）	-0.151^*** （-5.36）	-0.128^*** （-10.33）	-0.140^*** （-3.87）	-0.135^*** （-5.56）	-0.105^*** （-3.81）
常数项	0.093^*** （16.85）	-0.118^*** （-6.36）	-0.181^*** （-9.24）	-0.136^*** （-6.88）	0.209^*** （6.58）	0.023^* （1。69）	0.192^** （3.82）	0.121^** （2.17）
Rho	0.034^*** （2.94）	0.157^*** （54.13）	0.239^*** （87.92）	0.266^*** (104.59)	0.063^*** （3.32）	0.162^*** （40.10）	0.243^*** （71.10）	0.268^*** （91.58）
R²	0.12	0.281	0.101	0.05	0.11	0.15	0.10	0.03
Log-L	418.64	184.41	204.96	62.80	624.11	297.51	441.45	204.96

变量	产业结构高度化				产业结构合理化
变量	整体	东部	中部	西部	整体	东部	中部	西部
β	-0.101^*** （-7.69）	-0.162^*** （-6.55）	-0.154^*** （-6.68）	-0.151^*** （-5.36）	-0.128^*** （-10.33）	-0.140^*** （-3.87）	-0.135^*** （-5.56）	-0.105^*** （-3.81）
常数项	0.093^*** （16.85）	-0.118^*** （-6.36）	-0.181^*** （-9.24）	-0.136^*** （-6.88）	0.209^*** （6.58）	0.023^* （1。69）	0.192^** （3.82）	0.121^** （2.17）
Rho	0.034^*** （2.94）	0.157^*** （54.13）	0.239^*** （87.92）	0.266^*** (104.59)	0.063^*** （3.32）	0.162^*** （40.10）	0.243^*** （71.10）	0.268^*** （91.58）
R²	0.12	0.281	0.101	0.05	0.11	0.15	0.10	0.03
Log-L	418.64	184.41	204.96	62.80	624.11	297.51	441.45	204.96

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