Author
Listed:
- Huanchen Zhou
(Admissions and Employment Office, East China Jiaotong University, Nanchang 330013, China)
- Wei Liu
(School of Civil Engineering and Architecture, East China Jiaotong University, Nanchang 330013, China)
Abstract
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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