IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v14y2025i3p568-d1608062.html
   My bibliography  Save this article

Characteristics of Spatiotemporal Differentiation and Spillover Effects of Land Use Coupled with PM 2.5 Concentration from the Perspective of Ecological Synergy—A Case Study of the Huaihe River Ecological Economic Belt

Author

Listed:
  • Dong Dong

    (School of Architecture and Planning, Anhui Jianzhu University, Hefei 230091, China
    Anhui Institute of Territory Spatial Planning and Ecology, Hefei 230091, China)

  • Runyu Huang

    (School of Architecture and Planning, Anhui Jianzhu University, Hefei 230091, China)

  • Huanyu Sun

    (School of Architecture and Planning, Anhui Jianzhu University, Hefei 230091, China)

  • Nan Li

    (School of Architecture and Planning, Anhui Jianzhu University, Hefei 230091, China)

  • Xiao Yang

    (School of Architecture and Planning, Anhui Jianzhu University, Hefei 230091, China)

  • Kangkang Gu

    (School of Architecture and Planning, Anhui Jianzhu University, Hefei 230091, China
    Anhui Institute of Territory Spatial Planning and Ecology, Hefei 230091, China)

Abstract

Under the rapid urbanization process, PM 2.5 pollution has become an increasingly critical issue. Changes in land-use types will inevitably affect PM 2.5 concentration. Meanwhile, the problem of imbalance and inadequacy of regional development remains prominent. This study took the Huaihe River Ecological Economic Belt as the research object, integrating the spatial econometric model with the Geographically and Temporally Weighted Regression (GTWR) and Multiscale Geographically Weighted Regression (MGWR) models, to investigate the spatiotemporal heterogeneity and spillover effect of the association between PM 2.5 concentration and land use from 1998 to 2021. The main findings are as follows: (1) PM 2.5 concentration in the study area from 1998 to 2021 showed an upward and then a downward trend, taking 2013 as a turning point, with respective magnitudes of 50.4% and 42.1%; (2) land use exerts a significant spillover effect on PM 2.5 pollution. Except for grassland and cropland, the direct effect of each land type on PM 2.5 pollution exceeds its indirect effect; (3) the influence of land use on PM 2.5 pollution exhibits significant spatiotemporal variations. The impact coefficient of forests remains relatively consistent across the entire region, whereas that of cropland, water bodies, and impervious surfaces varies markedly across different regions, particularly in the northeastern and southern cities of the study area. The results of this study may give new ideas for collective governance and joint environmental remediation in different cities and probably provide some basis for the formulation of air pollution control policies and urban land planning.

Suggested Citation

  • Dong Dong & Runyu Huang & Huanyu Sun & Nan Li & Xiao Yang & Kangkang Gu, 2025. "Characteristics of Spatiotemporal Differentiation and Spillover Effects of Land Use Coupled with PM 2.5 Concentration from the Perspective of Ecological Synergy—A Case Study of the Huaihe River Ecolog," Land, MDPI, vol. 14(3), pages 1-26, March.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:3:p:568-:d:1608062
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/14/3/568/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/14/3/568/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ziyun Wang & Huaijun Wang & Zhenjie Liu & Ru Feng & Yingping Pan, 2023. "Evolution of Ecosystem Service Values and the Response to Landscape Pattern Change in the Huaihe River Eco-Economic Belt," Land, MDPI, vol. 12(7), pages 1-17, July.
    2. Wei-Ling Hsu & Xijuan Shen & Haiying Xu & Chunmei Zhang & Hsin-Lung Liu & Yan-Chyuan Shiau, 2021. "Integrated Evaluations of Resource and Environment Carrying Capacity of the Huaihe River Ecological and Economic Belt in China," Land, MDPI, vol. 10(11), pages 1-21, October.
    3. Guokui Wang & Junbo Gao & Yangyang Li, 2024. "Does Low-Carbon Transition Promote Regional Sustainable Development? Evidence from the Huaihe River Ecological Economic Belt," Sustainability, MDPI, vol. 16(20), pages 1-17, October.
    4. Sungsoo Yoon & Youngdae Heo & Chan-Ryul Park & Wanmo Kang, 2022. "Effects of Landscape Patterns on the Concentration and Recovery Time of PM 2.5 in South Korea," Land, MDPI, vol. 11(12), pages 1-13, December.
    5. J. Paul Elhorst, 2003. "Specification and Estimation of Spatial Panel Data Models," International Regional Science Review, , vol. 26(3), pages 244-268, July.
    6. Lin Jia & Xiaoyi Zhou & Qingjie Wang, 2023. "Effects of Agricultural Machinery Operations on PM 2.5 , PM 10 and TSP in Farmland under Different Tillage Patterns," Agriculture, MDPI, vol. 13(5), pages 1-14, April.
    7. Bin Zou & Shan Xu & Troy Sternberg & Xin Fang, 2016. "Effect of Land Use and Cover Change on Air Quality in Urban Sprawl," Sustainability, MDPI, vol. 8(7), pages 1-14, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:rri:wpaper:201303 is not listed on IDEAS
    2. Konon, Alexander & Fritsch, Michael & Kritikos, Alexander S., 2018. "Business cycles and start-ups across industries: An empirical analysis of German regions," Journal of Business Venturing, Elsevier, vol. 33(6), pages 742-761.
    3. Ning Zhang & Ying Mao, 2021. "Spatial Effects of Environmental Pollution on Healthcare Services: Evidence from China," IJERPH, MDPI, vol. 18(4), pages 1-21, February.
    4. Shimei Wu & Haotian Zhang, 2022. "The existence and mechanism of the domestic pollution haven hypothesis: evidence from 265 cities in China," Letters in Spatial and Resource Sciences, Springer, vol. 15(3), pages 287-310, December.
    5. Baltagi, Badi H. & Yen, Yin-Fang, 2014. "Hospital treatment rates and spillover effects: Does ownership matter?," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 193-202.
    6. Simonetta Longhi & Peter Nijkamp & Jacques Poot, 2006. "Spatial Heterogeneity And The Wage Curve Revisited," Journal of Regional Science, Wiley Blackwell, vol. 46(4), pages 707-731, October.
    7. Alexander Klemm & Stefan Parys, 2012. "Empirical evidence on the effects of tax incentives," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(3), pages 393-423, June.
    8. Zhuang Miao & Tomas Baležentis & Zhihua Tian & Shuai Shao & Yong Geng & Rui Wu, 2019. "Environmental Performance and Regulation Effect of China’s Atmospheric Pollutant Emissions: Evidence from “Three Regions and Ten Urban Agglomerations”," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(1), pages 211-242, September.
    9. Vassilis Tselios, 2008. "Income and educational inequalities in the regions of the European Union: Geographical spillovers under welfare state restrictions," Papers in Regional Science, Wiley Blackwell, vol. 87(3), pages 403-430, August.
    10. repec:rri:wpaper:200711 is not listed on IDEAS
    11. Mary-Françoise RENARD & Nasser ARY TANIMOUNE, 2005. "FDI convergence and Spatial Dependence between Chinese Provinces," Working Papers 200531, CERDI.
    12. Ling Bai & Tianran Guo & Wei Xu & Kang Luo, 2022. "The Spatial Differentiation and Driving Forces of Ecological Welfare Performance in the Yangtze River Economic Belt," IJERPH, MDPI, vol. 19(22), pages 1-21, November.
    13. Carmela D'Avino & Mimoza Shabani, 2025. "Spatial Dependence via the Internal Capital Markets of U.S. Global Banks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 57(1), pages 69-105, February.
    14. Tosun Mehmet S & Skidmore Mark L, 2007. "Cross-Border Shopping and the Sales Tax: An Examination of Food Purchases in West Virginia," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(1), pages 1-20, December.
    15. Jiang, Wenhao & Stickley, Andrew & Ueda, Michiko, 2021. "Green space and suicide mortality in Japan: An ecological study," Social Science & Medicine, Elsevier, vol. 282(C).
    16. Frank Davenport, 2017. "Estimating standard errors in spatial panel models with time varying spatial correlation," Papers in Regional Science, Wiley Blackwell, vol. 96, pages 155-177, March.
    17. Marzieh Ronaghi & Michael Reed & Sayed Saghaian, 2020. "The impact of economic factors and governance on greenhouse gas emission," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 22(2), pages 153-172, April.
    18. Cassette, Aurélie & Creel, Jérôme & Farvaque, Etienne & Paty, Sonia, 2013. "Governments under influence: Country interactions in discretionary fiscal policy," Economic Modelling, Elsevier, vol. 30(C), pages 79-89.
    19. Haochang Yang & Faming Zhang & Yixin He, 2021. "Exploring the effect of producer services and manufacturing industrial co-agglomeration on the ecological environment pollution control in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16119-16144, November.
    20. Quatraro, Francesco, 2008. "Regional Knowledge Base and Productivity Growth: The Evidence of Italian Manufacturing," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 200810, University of Turin.
    21. Valente, Thomas W. & Pitts, Stephanie & Wipfli, Heather & Vega Yon, George G., 2019. "Network influences on policy implementation: Evidence from a global health treaty," Social Science & Medicine, Elsevier, vol. 222(C), pages 188-197.
    22. Emediegwu, Lotanna E. & Wossink, Ada & Hall, Alastair, 2022. "The impacts of climate change on agriculture in sub-Saharan Africa: A spatial panel data approach," World Development, Elsevier, vol. 158(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:14:y:2025:i:3:p:568-:d:1608062. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.