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How Digital Economy–Education Integration Drives Inclusive New-Type Urbanization in Less-Developed Regions: A Spatial Analysis

溢出效应 人力资本 城市化 经济地理学 空间分析 地理 区域一体化 面板数据 能力方法 市场整合 加权 经济增长 熵(时间箭头) 业务 数据集成 包容性增长 人均 区域科学 空间相关性 人类发展(人文) 经济一体化 发展经济学 经济体制 社会融合 地理信息系统 公共服务 空间计量经济学 经济 技术集成 模式(计算机接口) 广义熵指数 经济 数字鸿沟 首都(建筑) 计量经济学 空间异质性 经济基础分析
作者
Huanchen Zhou,Wei Liu
出处
期刊:Sustainability [Multidisciplinary Digital Publishing Institute]
卷期号:18 (12): 6142-6142
标识
DOI:10.3390/su18126142
摘要

The deep integration of the digital economy and education is a critical pathway to addressing the common challenges in less-developed regions, such as human capital shortages, unequal public service provision, and low developmental inclusiveness during new-type urbanization. Using panel data from 11 prefecture-level cities in Jiangxi Province from 2017 to 2024, this study first constructs a comprehensive index system to measure the integration level of the digital economy and education, as well as the inclusive development level of new-type urbanization. The entropy method is employed for objective weighting and composite score calculation. The spatiotemporal patterns of these two variables are visualized using hot spot analysis. A spatial Durbin model (SDM) with dual fixed effects is then applied to empirically examine the direct effect, spatial spillover effects, and regional heterogeneity of the digital-education integration. The main findings are as follows: (1) Both the integration level of the digital economy and education and the inclusive development of new-type urbanization in Jiangxi Province exhibit a distinct spatial pattern characterized as “high in the north, low in the south, and weak in the central region”, with significant spatiotemporal coupling between the two. (2) The digital-education integration exerts a significant positive direct effect on the local inclusive development of new-type urbanization. The core transmission mechanisms are the inclusive sharing of digital educational resources and the effective enhancement of human capital. (3) The integration generates a positive, albeit relatively weak, spatial spillover effect on neighboring areas. The strength of this spillover effect shows pronounced regional heterogeneity, being strongest in Northern Jiangxi, followed by Southern Jiangxi, and weakest in Central Jiangxi. (4) Economic development and industrial upgrading synergistically drive inclusive development alongside the digital-education integration. However, unequal social security provision remains a significant inhibiting factor for inclusive development.
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