Impact of digital governance on the green utilization efficiency of urban land

IF 5.9 1区 社会学 Q1 ENVIRONMENTAL STUDIES Land Use Policy Pub Date : 2025-03-24 DOI:10.1016/j.landusepol.2025.107539
Weixiang Xu , Jiaxin Guo , Jianping Zhou
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Abstract

Digital governance has become a key means of improving the quality of urban governance, particularly the green utilization efficiency of urban land. Then, using panel data from 284 cities and exploiting the implementation of the ‘National Pilot for Information Benefiting the People’ policy, this study uses a double machine learning model to explore the impact of digital governance on the green utilization efficiency of urban land and underlying pathways. The results show that digital governance can significantly improve the green utilization efficiency of urban land. Moreover, this conclusion holds under several robustness and instrumental variable tests. Next, the results of the indirect effects test show that industrial specialisation agglomeration and entrepreneurial activity are the paths through which digital governance improves the green utilization efficiency of urban land. Finally, environmental concerns can positively regulate the impact of digital governance on the green utilization efficiency of urban land.
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数字治理对城市土地绿色利用效率的影响
数字治理已成为提高城市治理质量,特别是城市土地绿色利用效率的关键手段。然后,利用284个城市的面板数据,利用“国家信息化惠民试点”政策的实施情况,采用双机器学习模型探讨数字治理对城市土地绿色利用效率的影响及其影响途径。结果表明,数字治理能够显著提高城市土地的绿色利用效率。此外,这一结论在若干稳健性和工具变量检验下成立。其次,间接效应检验结果表明,产业专业化集聚和创业活动是数字治理提高城市土地绿色利用效率的路径。最后,环境关注正向调节数字治理对城市土地绿色利用效率的影响。
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来源期刊
Land Use Policy
Land Use Policy ENVIRONMENTAL STUDIES-
CiteScore
13.70
自引率
8.50%
发文量
553
期刊介绍: Land Use Policy is an international and interdisciplinary journal concerned with the social, economic, political, legal, physical and planning aspects of urban and rural land use. Land Use Policy examines issues in geography, agriculture, forestry, irrigation, environmental conservation, housing, urban development and transport in both developed and developing countries through major refereed articles and shorter viewpoint pieces.
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