Uncovering the Triple Synergy of New-Type Urbanization, Greening and Digitalization in China

Author:

Li Qiangyi12,Ge Jiexiao1,Huang Mingyu1,Wu Xiaoyu1,Fan Houbao3

Affiliation:

1. School of Economics and Management, Guangxi Normal University, Guilin 541006, China

2. Key Laboratory of Digital Empowerment Economic Development, Guangxi Normal University, Education Department of Guangxi Zhuang Autonomous Region, Guilin 541006, China

3. School of Applied Economics, Jiangxi University of Finance and Economics, Nanchang 330013, China

Abstract

The in-depth discussion and analysis of the synergistic effect of new-type urbanization, greening and digitalization (NUGD) is important for the achievement of sustainable social, ecological and economic development. Therefore, in this study, an evaluation index system composed of these three subsystems was constructed for Chinese cities from 2011 to 2021. The comprehensive and collaborative development levels of each subsystem were measured by means including the entropy weight method and the coupling coordination model, respectively. Then, methods such as ESDA and the Dagum Gini coefficient were applied to investigate the spatiotemporal evolution and spatial differences in the triple synergy effect of the NUGD system in Chinese cities. Finally, the constraining factors of the triple synergy effect were revealed using the obstacle degree model. The findings demonstrated the following: (1) Overall, the NUGD subsystems and their comprehensive levels were increasing, with moderate overall development levels. (2) The synergistic development of the NUGD system exhibited an upward trend. Spatially, the synergistic development level showed distinct differentiation, being higher in the east and lower in the west. The multidimensional dynamic variation characteristics obtained through kernel density estimation revealed that the triple synergy level exhibits high stability. (3) The differences within the east and between the eastern and western areas were the largest, with the intensity of transvariation as the main source. (4) The five criterion layers, including social and spatial urbanization variables, were the key constraints that affected the triple synergy of the NUGD in Chinese cities, and the restrictive role of factors such as the proportion of urban construction land and the per capita postal business volume should not be ignored. This study provides a valuable reference and decision-making guidance to promote China’s acceleration toward a new urbanization path supported by both digitalization and green transformation.

Funder

Guangxi Science and Technology Base and Talent Special Project

Innovation Project of the School of Economics and Management, Guangxi Normal University

Publisher

MDPI AG

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