IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i4p475-d1371482.html
   My bibliography  Save this article

Spatio-Temporal Dynamics of Economic Density and Vegetation Cover in the Yellow River Basin: Unraveling Interconnections

Author

Listed:
  • Benxu Wang

    (College of Economics and Management, Southwest Forestry University, Kunming 650224, China
    These authors contributed equally to this work.)

  • Xuanqin Yang

    (College of Economics and Management, Southwest Forestry University, Kunming 650224, China
    These authors contributed equally to this work.)

  • Yaquan Dou

    (Research Institute of Forestry Policy and Information, Chinese Academy of Forestry, Beijing 100091, China)

  • Qingjun Wu

    (College of Economics and Management, China Agricultural University, Beijing 100083, China)

  • Guangyu Wang

    (Faculty of Forestry, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada)

  • Ya Li

    (College of Economics and Management, Southwest Forestry University, Kunming 650224, China)

  • Xiaodi Zhao

    (Research Institute of Forestry Policy and Information, Chinese Academy of Forestry, Beijing 100091, China
    Faculty of Forestry, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada)

Abstract

Vegetation, serving as the primary constituent of terrestrial ecosystems, plays a crucial role in regulating energy flow and material cycles and providing vital resources for human socio-economic activities. This study analyzes the spatio-temporal patterns of economic density and vegetation coverage in the Yellow River Basin (YRB) based on forest resource inventory and socio-economic data from 448 counties in 2008, 2013, and 2018. A three-tiered criterion layer is constructed using economic density as the core explanatory variable, encompassing social development factors, land use factors, and natural factors. A two-way fixed effects model is then utilized to analyze the impact of economic density on vegetation coverage. Results reveal that: (1) Spatially, economic density demonstrates a “low in the west and high in the east” pattern, with an overall upward trend in the YRB. Conversely, vegetation cover exhibits a “high in the west and low in the east” pattern, displaying a downward trend. (2) Over the 2008–2018 period, a significant negative correlation between economic density and vegetation cover is observed in each county of the YRB, with vegetation cover decreasing by 1.108% for every 1 unit increase in economic density. Notably, the upstream areas of the YRB experience a significant increase in vegetation coverage, while the middle and lower reaches witness a decrease. (3) Considering control variables, the proportion of the primary industry, urbanization rate, forest protection level, and cultivated land area exert a significant influence on vegetation coverage across the entire basin. Policymakers should formulate relevant policies to achieve sustainable development in the YRB, as discussed in the proposed countermeasures. This study delineates a practical pathway for high-quality economic development and high-level ecological protection in the YRB, offering a valuable reference for analogous research in other regions.

Suggested Citation

  • Benxu Wang & Xuanqin Yang & Yaquan Dou & Qingjun Wu & Guangyu Wang & Ya Li & Xiaodi Zhao, 2024. "Spatio-Temporal Dynamics of Economic Density and Vegetation Cover in the Yellow River Basin: Unraveling Interconnections," Land, MDPI, vol. 13(4), pages 1-22, April.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:4:p:475-:d:1371482
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/4/475/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/13/4/475/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ahlfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2019. "The economic effects of density: A synthesis," Journal of Urban Economics, Elsevier, vol. 111(C), pages 93-107.
    2. Giovanni Forzieri & Vasilis Dakos & Nate G. McDowell & Alkama Ramdane & Alessandro Cescatti, 2022. "Emerging signals of declining forest resilience under climate change," Nature, Nature, vol. 608(7923), pages 534-539, August.
    3. Xiaojing Zhao & Xuke Li & Guoqu Deng & Yanling Xi, 2023. "Decoupling Relationship between Resource Environment and High-Quality Economic Development in the Yellow River Basin," Sustainability, MDPI, vol. 15(12), pages 1-18, June.
    4. Pei Li & Ye Tian & JunJie Wu & Wenchao Xu, 2021. "The Great Western Development policy: how it affected grain crop production, land use and rural poverty in western China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 13(2), pages 319-348, January.
    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. Hengstermann, Andreas & Götze, Vera, 2023. "Planning-related land value changes for explaining instruments of compensation and value capture in Switzerland," Land Use Policy, Elsevier, vol. 132(C).
    2. de Bellefon, Marie-Pierre & Combes, Pierre-Philippe & Duranton, Gilles & Gobillon, Laurent & Gorin, Clément, 2021. "Delineating urban areas using building density," Journal of Urban Economics, Elsevier, vol. 125(C).
    3. Carozzi, Felipe & Roth, Sefi, 2023. "Dirty density: Air quality and the density of American cities," Journal of Environmental Economics and Management, Elsevier, vol. 118(C).
    4. Eisfeld, Rupert-Klaas & Heinemann, Ann-Kathrin & Just, Tobias & Quitzau, Jörn, . "Büroimmobilien nach Corona - Eine Szenarienanalyse," Beiträge zur Immobilienwirtschaft, University of Regensburg, Department of Economics, number 27, August.
    5. Dascher, Kristof, 2019. "Function Follows Form," Journal of Housing Economics, Elsevier, vol. 44(C), pages 131-140.
    6. Liu, Crocker H. & Rosenthal, Stuart S. & Strange, William C., 2020. "Employment density and agglomeration economies in tall buildings," Regional Science and Urban Economics, Elsevier, vol. 84(C).
    7. Jordy Meekes & Wolter H. J. Hassink, 2023. "Endogenous local labour markets, regional aggregation and agglomeration economies," Regional Studies, Taylor & Francis Journals, vol. 57(1), pages 13-25, January.
    8. Fabian Eckert & Sharat Ganapati & Conor Walsh, 2020. "Urban-Biased Growth: A Macroeconomic Analysis," CESifo Working Paper Series 8705, CESifo.
    9. Keaton Jenner & Peter Tulip, 2020. "The Apartment Shortage," RBA Research Discussion Papers rdp2020-04, Reserve Bank of Australia.
    10. Castells-Quintana, David & Dienesch, Elisa & Krause, Melanie, 2021. "Air pollution in an urban world: A global view on density, cities and emissions," Ecological Economics, Elsevier, vol. 189(C).
    11. Pierre-Philippe Combes & Clément Gorin & Shohei Nakamura & Mark Roberts & Benjamin Stewart, 2023. "An Anatomy of Urbanization in Sub-Saharan Africa," SciencePo Working papers Main hal-04345529, HAL.
    12. Stephen J. Redding, 2020. "Trade and Geography," NBER Working Papers 27821, National Bureau of Economic Research, Inc.
    13. Jordy Meekes, 2022. "Agglomeration Economies and the Urban Wage Premium in Australia," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 25(1), pages 25-54.
    14. Montmartin, Benjamin & Herrera-Gómez, Marcos, 2023. "Spatial dependence in physicians’ prices and additional fees: Evidence from France," Journal of Health Economics, Elsevier, vol. 88(C).
    15. Edward Chi Ho Tang & Charles Ka Yui Leung, 2024. "Icing on the cake: Can the Top-Floor Units serve as a status good and an investment simultaneously?," ISER Discussion Paper 1252, Institute of Social and Economic Research, Osaka University.
    16. Higney, Anthony & Hanley, Nick & Moro, Mirko, 2022. "The lead-crime hypothesis: A meta-analysis," Regional Science and Urban Economics, Elsevier, vol. 97(C).
    17. Bosker, Maarten & Park, Jane & Roberts, Mark, 2021. "Definition matters. Metropolitan areas and agglomeration economies in a large-developing country," Journal of Urban Economics, Elsevier, vol. 125(C).
    18. Winters, John V., 2022. "Minimum Wages and Restaurant Employment for Teens and Adults in Metropolitan and Non-metropolitan Areas," IZA Discussion Papers 15499, Institute of Labor Economics (IZA).
    19. Ahlfeldt, Gabriel M. & Heblich, Stephan & Seidel, Tobias, 2023. "Micro-geographic property price and rent indices," Regional Science and Urban Economics, Elsevier, vol. 98(C).
    20. Nelly Exbrayat & Victor Stephane, 2024. "Does Urbanization Cause Crime? Evidence from Rural-Urban Migration in South Africa," Working Papers halshs-04390026, HAL.

    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:13:y:2024:i:4:p:475-:d:1371482. 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.