Can Open Government Data Improve City Green Land-Use Efficiency? Evidence from China
Xiang Peng and
Deheng Xiao ()
Additional contact information
Xiang Peng: School of Public Administration, Zhongnan University of Economics and Law, Wuhan 430073, China
Deheng Xiao: School of Government, University of International Business and Economics, Beijing 100029, China
Land, 2024, vol. 13, issue 11, 1-17
Abstract:
This study adopted the double difference method to study the effect of open government data (OGD) on city green land-use efficiency (CGLUE). It was found that opening government data had a significant promotional effect on CGLUE, and a number of robustness tests were the foundation for this finding. A mechanism analysis demonstrated that two key avenues via which government data openness can promote CGLUE are raising public awareness of environmental issues and strengthening urban green innovation potential. A heterogeneity analysis found that the effect of government data openness on CGLUE was more obvious in eastern cities, cities with higher levels of digital finance, and non-resource-based cities. In addition, open government data also reduced urban carbon emissions while improving CGLUE, contributing to China’s “double carbon” goal.
Keywords: open government data; city green land-use efficiency; public environmental concerns; urban green innovation; carbon emissions (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2073-445X/13/11/1891/pdf (application/pdf)
https://www.mdpi.com/2073-445X/13/11/1891/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:13:y:2024:i:11:p:1891-:d:1518789
Access Statistics for this article
Land is currently edited by Ms. Carol Ma
More articles in Land from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().