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智慧城市建设是否促进城市绿色发展?来自双重机器学习模型的证据。

Does smart city construction promote urban green development? Evidence from a double machine learning model.

作者信息

Jiang Yuchen, Sun Jiasen

机构信息

School of Business and Dongwu Think Tank, Soochow University, Suzhou, Jiangsu, 215012, China.

出版信息

J Environ Manage. 2025 Jan;373:123701. doi: 10.1016/j.jenvman.2024.123701. Epub 2024 Dec 17.

Abstract

The issue of whether smart city construction (SCC) can promote urban green development (UGD) is controversial. To address this problem, first, a UGD evaluation index system with four dimensions, namely, green production, green living, green growth, and green ecology, is developed in this study to measure the UGD level. Second, the causal relationship between SCC and UGD is examined by using a double machine learning model. Last, the influence mechanism of SCC on UGD is investigated in terms of industrial upgrading, resource allocation, information support, and technological innovation. Panel data from 282 Chinese prefecture-level cities from 2011 to 2021 are used in this study, and several valuable conclusions are drawn. First, the UGD level of the Chinese cities shows an upward trend. Second, SCC can substantially promote UGD and has a positive effect on the green production, green living, and green growth of the Chinese cities. Third, SCC can promote the UGD of the Chinese cities through industrial upgrading, resource allocation, information support, and technological innovation. Last, the effect of SCC on UGD in the Chinese cities displays regional heterogeneity.

摘要

智慧城市建设(SCC)能否促进城市绿色发展(UGD)这一问题存在争议。为解决这一问题,本研究首先构建了一个包含绿色生产、绿色生活、绿色增长和绿色生态四个维度的城市绿色发展评价指标体系,用以衡量城市绿色发展水平。其次,运用双重机器学习模型检验智慧城市建设与城市绿色发展之间的因果关系。最后,从产业升级、资源配置、信息支持和技术创新等方面探究智慧城市建设对城市绿色发展的影响机制。本研究使用了2011年至2021年中国282个地级市的面板数据,并得出了若干有价值的结论。第一,中国城市的绿色发展水平呈上升趋势。第二,智慧城市建设能够显著促进城市绿色发展,对中国城市的绿色生产、绿色生活和绿色增长具有积极影响。第三,智慧城市建设可以通过产业升级、资源配置、信息支持和技术创新来促进中国城市的绿色发展。最后,智慧城市建设对中国城市绿色发展的影响存在区域异质性。

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