Data-Driven Green Transformation: How Public Data Openness Fuels Urban Land Use Eco-Efficiency in Chinese Cities

Urban land use eco-efficiency (ULUEE) encapsulates the equilibrium between economic gains and environmental sustainability. The improvement of ULUEE has emerged as a critical measure in addressing climate change and achieving dual-carbon objectives. This paper examines the potential of public data in enhancing ULUEE, focusing on public data openness (PDO), using a sample of 294 prefecture-level cities spanning from 2014 to 2022. The findings indicate that PDO has a significant positive impact on ULUEE, a result that remains robust through various sensitivity tests. Further analysis reveals that PDO fosters urban innovation, stimulates industrial agglomeration, optimizes urban industrial structures, and further enhances ULUEE through innovation effects, agglomeration effects, and structural effects. A heterogeneity analysis shows that this positive effect is more pronounced in regions with higher financial development levels and in the economically advanced eastern regions, suggesting that the ecological benefits derived from PDO are contingent upon a solid economic foundation. Additionally, the effect is more substantial in regions with weaker digital infrastructure and suboptimal environmental regulation, implying that public data can compensate for deficiencies in urban digital infrastructure and environmental governance, thereby contributing to improvements in ULUEE. This paper broadens the existing literature on the ecological value of public data, uncovers the potential of PDO in promoting ULUEE, and offers a practical framework for leveraging PDO to facilitate urban green transformation and ecological advancement.

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Publication Details

Journal
Land
Published
2025-05-03
DOI
https://doi.org/10.3390/land14050990
Citations
3
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
9.39

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article

Data-Driven Green Transformation: How Public Data Openness Fuels Urban Land Use Eco-Efficiency in Chinese Cities

Y. Hu, Jiani Chen, Yongqiang Li, Chengming Li et al.
3 citations
Land
Energy, Environment, Economic Growth
9.39
article

Data-Driven Green Transformation: How Public Data Openness Fuels Urban Land Use Eco-Efficiency in Chinese Cities

Y. Hu, Jiani Chen, Yongqiang Li, Chengming Li, Bowen Li, Y. Zhang
article en
3 citations

Abstract

Urban land use eco-efficiency (ULUEE) encapsulates the equilibrium between economic gains and environmental sustainability. The improvement of ULUEE has emerged as a critical measure in addressing climate change and achieving dual-carbon objectives. This paper examines the potential of public data in enhancing ULUEE, focusing on public data openness (PDO), using a sample of 294 prefecture-level cities spanning from 2014 to 2022. The findings indicate that PDO has a significant positive impact on ULUEE, a result that remains robust through various sensitivity tests. Further analysis reveals that PDO fosters urban innovation, stimulates industrial agglomeration, optimizes urban industrial structures, and further enhances ULUEE through innovation effects, agglomeration effects, and structural effects. A heterogeneity analysis shows that this positive effect is more pronounced in regions with higher financial development levels and in the economically advanced eastern regions, suggesting that the ecological benefits derived from PDO are contingent upon a solid economic foundation. Additionally, the effect is more substantial in regions with weaker digital infrastructure and suboptimal environmental regulation, implying that public data can compensate for deficiencies in urban digital infrastructure and environmental governance, thereby contributing to improvements in ULUEE. This paper broadens the existing literature on the ecological value of public data, uncovers the potential of PDO in promoting ULUEE, and offers a practical framework for leveraging PDO to facilitate urban green transformation and ecological advancement.

LandVol. 14(5)
Minzu University of China (CN), Peking University (CN), Renmin University of China (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 3%
Energy, Environment, Economic Growth
9.39
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