中国数字经济与共同富裕的耦合协调关系及时空演进趋势

doi:10.12118/j.issn.1000-6060.2025.543

Abstract

Abstract:

Enhancing the coupling coordination between digital economy development and common prosperity is an important pathway for promoting high-quality economic development and social equity. This study examines the coupling coordination between the digital economy and common prosperity based on provincial panel data from China spanning 2013 to 2023. Composite indices for the digital economy and common prosperity were constructed using the comprehensive evaluation method, and a coupling coordination model was applied to assess the interaction level between the two systems. Kernel density estimation and the Dagum Gini coefficient were further employed to analyze the spatiotemporal evolution and sources of regional disparities. The research results indicate: (1) The composite index of the digital economy increased by 2.067 times between 2013 and 2023, forming a “multi-center networked” spatial pattern driven by the core regions of the Beijing-Tianjin-Hebei region, Yangtze River Delta, and Pearl River Delta. Over the same period, the composite index of common prosperity increased by 0.975 times, showing a spatial gradient characterized by stronger development in eastern China and weaker development in western China. (2) From 2013 to 2023, the coupling coordination degree between the digital economy and common prosperity steadily improved. Spatially, the eastern region maintained the highest level of coordination, followed by the central region, while the western and northeastern regions remained relatively lagging. (3) During the study period, overall regional disparities in coupling coordination showed a gradual convergence trend. Inter-regional differences were the main source of these disparities, with an average contribution rate of 66.20%. In particular, the gap between the eastern region and the central, western, and northeastern regions was substantially larger than that among the latter three regions, indicating persistent regional imbalances.

Key words: digital economy, common prosperity, coupling coordination degree, spatiotemporal evolution trends, region differences

LI Wenjun, ZHANG Weimei. Coupling coordination relationship and spatiotemporal evolution trend between digital economy and common prosperity in China[J].Arid Land Geography, 2026, 49(7): 1481-1492.

Figures/Tables 12

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系统	子系统	评价要素	测算方法	单位	属性	指标权重
数字经济	数字经济要素投入	数字基础设施	每平方公里光缆线路长度	km·km^-2	正	0.075
			移动电话普及率	部·(100人)^-1	正	0.018
			互联网宽带接入端口	10⁴个	正	0.036
		数字发展环境	信息传输、软件及信息服务业就业人员	10⁴人	正	0.075
			信息传输、软件及服务业固定资产投资额	10⁴元	正	0.041
			数字金融覆盖广度	-	正	0.019
	数字经济发展水平	数字产业化规模	软件业务收入	10⁴元	正	0.108
			信息技术服务收入	10⁴元	正	0.110
			数字金融数字化程度	-	正	0.018
		产业数字化程度	每百家企业拥有网站数	个·(100家)^-1	正	0.061
			有电子商务交易活动的企业数比重	%	正	0.018
			电子商务销售额占GDP的比重	%	正	0.042
			数字金融使用深度	-	正	0.021
共同富裕	富裕度	物质富裕	居民人均消费支出	元·人^-1	正	0.031
		物质富裕	居民人均可支配收入	元·人^-1	正	0.027
		精神富裕	人均文化娱乐消费支出	元·人^-1	正	0.023
		精神富裕	人均拥有公共图书馆藏量	册·人^-1	正	0.042
	共享度	公共服务	公共财政教育经费支出占比	%	正	0.014
			每万人医疗卫生机构床位数	张·(10⁴人)^-1	正	0.014
			每万人拥有公共交通车辆	标台·(10⁴人)^-1	正	0.016
		城乡差距	城乡居民恩格尔系数比值	-	负	0.008
			城乡居民人均可支配收入的绝对数比值	-	负	0.009
			城乡居民人均消费支出的绝对数比值	-	负	0.009
	可持续性	经济增长	人均GDP	元·人^-1	正	0.033
		经济增长	城镇失业登记率	%	负	0.015
		创新驱动	R&D经费投入强度	%	正	0.041
		创新驱动	每万人专利授权数	件·(10⁴人)^-1	正	0.065
		绿色发展	建成区绿化覆盖率	%	正	0.008
		绿色发展	单位GDP能耗	tce·(10⁴元)^-1	负	0.001

范围	阶段	范围	阶段
[0.0, 0.1)	极度失调	[0.5, 0.6)	勉强协调
[0.1, 0.2)	严重失调	[0.6, 0.7)	初级协调
[0.2, 0.3)	中度失调	[0.7, 0.8)	中级协调
[0.3, 0.4)	轻度失调	[0.8, 0.9)	良好协调
[0.4, 0.5)	濒临失调	[0.9, 1.0)	优质协调

子系统	2013年	2014年	2015年	2016年	2017年	2018年	2019年	2020年	2021年	2022年	2023年
数字经济	0.089	0.106	0.139	0.148	0.164	0.185	0.199	0.215	0.239	0.252	0.273
共同富裕	0.199	0.215	0.232	0.248	0.264	0.290	0.309	0.328	0.372	0.368	0.393

地区	2013年	2014年	2015年	2016年	2017年	2018年	2019年	2020年	2021年	2022年	2023年
全国	0.320	0.357	0.406	0.424	0.450	0.482	0.504	0.526	0.565	0.571	0.597
东部	0.464	0.493	0.536	0.557	0.583	0.622	0.646	0.672	0.717	0.729	0.754
中部	0.284	0.319	0.363	0.389	0.415	0.449	0.471	0.495	0.536	0.545	0.574
西部	0.215	0.265	0.322	0.338	0.364	0.392	0.413	0.432	0.467	0.468	0.495
东北	0.291	0.320	0.363	0.373	0.392	0.413	0.431	0.442	0.479	0.470	0.493

年份	总体基尼系数	组内差异	组内基尼系数				组间差异	组间基尼系数						超变密度
年份	总体基尼系数	组内差异	东北	东部	中部	西部	组间差异	东部与东北	东部与中部	东部与西部	中部与东北	中部与西部	西部与东北	超变密度
2013	0.235	0.047	0.217	0.195	0.083	0.112	0.142	0.317	0.323	0.321	0.195	0.109	0.193	0.142
2014	0.206	0.042	0.161	0.183	0.078	0.090	0.128	0.279	0.294	0.287	0.151	0.088	0.149	0.128
2015	0.176	0.035	0.122	0.170	0.060	0.067	0.108	0.253	0.264	0.247	0.114	0.068	0.117	0.108
2016	0.172	0.035	0.117	0.163	0.059	0.070	0.103	0.256	0.245	0.243	0.114	0.070	0.115	0.103
2017	0.161	0.032	0.101	0.155	0.052	0.065	0.102	0.250	0.224	0.234	0.103	0.062	0.101	0.102
2018	0.155	0.030	0.084	0.142	0.044	0.065	0.105	0.241	0.210	0.232	0.086	0.065	0.082	0.105
2019	0.151	0.029	0.073	0.138	0.047	0.063	0.104	0.231	0.204	0.230	0.077	0.068	0.074	0.104
2020	0.159	0.031	0.082	0.140	0.053	0.069	0.111	0.254	0.206	0.239	0.093	0.076	0.083	0.111
2021	0.152	0.029	0.068	0.136	0.047	0.065	0.108	0.239	0.196	0.233	0.079	0.076	0.070	0.108
2022	0.159	0.030	0.070	0.136	0.054	0.073	0.114	0.256	0.195	0.240	0.099	0.085	0.081	0.114
2023	0.147	0.029	0.057	0.132	0.052	0.068	0.106	0.242	0.182	0.222	0.091	0.076	0.072	0.106

Coupling coordination relationship and spatiotemporal evolution trend between digital economy and common prosperity in China

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