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The Impact of Land Use Efficiency on County-Level PM2.5: Evidence from 1125 Counties in China

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  • Hongmei Wen

    (School of Finance, Harbin University of Commerce, Harbin 150028, China)

  • Yufei Wu

    (School of Finance, Harbin University of Commerce, Harbin 150028, China)

  • Zhicheng Zhou

    (School of Finance, Harbin University of Commerce, Harbin 150028, China)

  • Shen Zhong

    (School of Finance, Harbin University of Commerce, Harbin 150028, China)

Abstract

With the severe harm caused by high concentrations of PM2.5 pollution to human health and the environment, effectively reducing county-level PM2.5 concentrations has become an urgent environmental issue. This paper explores the potential of land use efficiency in mitigating county-level PM2.5 pollution, proposing that improving land use efficiency could be an effective approach to reducing PM2.5 emissions. Based on balanced panel data from 1125 counties in China from 2000 to 2021, this paper employs a two-way fixed effects model to analyze the impact of land use efficiency on county-level PM2.5 concentrations and further examines the mechanism effects of urbanization and industrialization. The main findings are as follows: (1) Improvements in land use efficiency significantly reduce county-level PM2.5 concentrations. This conclusion remains robust after a series of robustness tests. (2) Enhanced land use efficiency indirectly reduces PM2.5 concentrations by promoting urbanization and industrialization processes. (3) The suppressive effect of land use efficiency on PM2.5 is more pronounced in non-resource-based cities and non-traditional industrial cities. (4) As population density increases, the suppressive effect of land use efficiency on PM2.5 gradually weakens. (5) In regions with higher levels of economic development, the impact of land use efficiency on PM2.5 concentrations follows an inverted U-shaped curve. This study provides theoretical support and policy recommendations for optimizing land resource allocation, promoting urbanization and industrialization, and formulating targeted environmental policies.

Suggested Citation

  • Hongmei Wen & Yufei Wu & Zhicheng Zhou & Shen Zhong, 2025. "The Impact of Land Use Efficiency on County-Level PM2.5: Evidence from 1125 Counties in China," Sustainability, MDPI, vol. 17(6), pages 1-20, March.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:6:p:2682-:d:1614811
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    1. Glaeser, Edward L. & Kahn, Matthew E., 2010. "The greenness of cities: Carbon dioxide emissions and urban development," Journal of Urban Economics, Elsevier, vol. 67(3), pages 404-418, May.
    2. Gene M. Grossman & Alan B. Krueger, 1995. "Economic Growth and the Environment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 353-377.
    3. Fei, Rilong & Lin, Ziyi & Chunga, Joseph, 2021. "How land transfer affects agricultural land use efficiency: Evidence from China’s agricultural sector," Land Use Policy, Elsevier, vol. 103(C).
    4. Dongqing Han & Zhengxu Cao, 2024. "Evaluation and Influential Factors of Urban Land Use Efficiency in Yangtze River Economic Belt," Land, MDPI, vol. 13(5), pages 1-17, May.
    5. Yu, Junqing & Zhou, Kaile & Yang, Shanlin, 2019. "Land use efficiency and influencing factors of urban agglomerations in China," Land Use Policy, Elsevier, vol. 88(C).
    6. Haixiang Xu & Rui Zhang, 2024. "Dynamic Analysis of Urban Land Use Efficiency in the Western Taiwan Strait Economic Zone," Land, MDPI, vol. 13(8), pages 1-26, August.
    7. Zheng, Siqi & Kahn, Matthew E. & Sun, Weizeng & Luo, Danglun, 2014. "Incentives for China's urban mayors to mitigate pollution externalities: The role of the central government and public environmentalism," Regional Science and Urban Economics, Elsevier, vol. 47(C), pages 61-71.
    8. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    9. He, Sanwei & Yu, Shan & Li, Guangdong & Zhang, Junfeng, 2020. "Exploring the influence of urban form on land-use efficiency from a spatiotemporal heterogeneity perspective: Evidence from 336 Chinese cities," Land Use Policy, Elsevier, vol. 95(C).
    10. Stern, David I., 2004. "The Rise and Fall of the Environmental Kuznets Curve," World Development, Elsevier, vol. 32(8), pages 1419-1439, August.
    11. Juan Yang & Genchuan Bai & Dinghua Ou & Xuesong Gao & Bing Li & Changquan Wang, 2024. "Impact of the Demographic Dividend on Urban Land Use Efficiency," Land, MDPI, vol. 13(12), pages 1-24, November.
    12. Hua Liao & Chen Zhang & Paul J. Burke & Ru Li & Yi‐Ming Wei, 2023. "Extreme temperatures, mortality, and adaptation: Evidence from the county level in China," Health Economics, John Wiley & Sons, Ltd., vol. 32(4), pages 953-969, April.
    13. Junguo Shi & Hubert Visas & Jabbar Ul-Haq & Shujaat Abbas & Sana Khanum, 2023. "Investigating the impact of export product diversification on environmental degradation: evidence from Chinese Provinces," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11455-11486, October.
    14. Zhao, Qianyu & Bao, Helen X.H. & Zhang, Zhanlu, 2021. "Off-farm employment and agricultural land use efficiency in China," Land Use Policy, Elsevier, vol. 101(C).
    15. Dinda, Soumyananda, 2004. "Environmental Kuznets Curve Hypothesis: A Survey," Ecological Economics, Elsevier, vol. 49(4), pages 431-455, August.
    16. Zhong, Shen & Zhou, Zhicheng & Gao, Wei, 2025. "Impact of regional finance reform and innovation policies on green innovation in pilot cities: A quasi-natural experiment," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 888-911.
    17. Mingzhi Zhang & Hongyu Liu & Yangyue Su & Xiangyu Zhou & Zhaocheng Li & Chao Chen, 2022. "Assessment and Decomposition of Regional Land Use Efficiency of the Service Sector in China," Land, MDPI, vol. 11(11), pages 1-19, October.
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