IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i11p2060-d1279075.html
   My bibliography  Save this article

Examining Relationships between Regional Ecological Risk and Land Use Using the Granger Causality Test Applied to a Mining City, Daye, China

Author

Listed:
  • Kai Guo

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China)

  • Zhenhao He

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China)

  • Xiaojin Liang

    (Guangzhou Urban Planning & Design Survey Research Institute, Guangzhou 510060, China)

  • Xuanwei Chen

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

  • Renbo Luo

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China)

  • Tianqi Qiu

    (Guangzhou Urban Planning & Design Survey Research Institute, Guangzhou 510060, China)

  • Kexin Zhang

    (Map Institute of Guangdong Province, Guangzhou 510620, China)

Abstract

Land use changes are an important factor contributing to the increasingly severe deterioration of the ecological environment. Therefore, regional analyses of land use and ecological risk should be developed for the restoration of ecological functions. In this study, a comprehensive ecological risk assessment was constructed on a regional scale and applied to Daye, a traditional mining city in China. Cointegration analyses and Granger causality tests were used to explore the complex relationship between land use and ecological risks in the study area from 2007 to 2021. The results show a long-term and stable relationship between land use changes in different sub-regions and ecological risks, albeit with distinct Granger causality relationships. This research presents the development trend of the relationship between land use change and ecological risks in a mining city, from rapid economic growth to economic restructuring and full-region ecological governance.

Suggested Citation

  • Kai Guo & Zhenhao He & Xiaojin Liang & Xuanwei Chen & Renbo Luo & Tianqi Qiu & Kexin Zhang, 2023. "Examining Relationships between Regional Ecological Risk and Land Use Using the Granger Causality Test Applied to a Mining City, Daye, China," Land, MDPI, vol. 12(11), pages 1-17, November.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:11:p:2060-:d:1279075
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/11/2060/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/12/11/2060/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shahbaz, Muhammad & Hye, Qazi Muhammad Adnan & Tiwari, Aviral Kumar & Leitão, Nuno Carlos, 2013. "Economic growth, energy consumption, financial development, international trade and CO2 emissions in Indonesia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 109-121.
    2. Luis A. Gil‐Alana, 2003. "Testing of Fractional Cointegration in Macroeconomic Time Series," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(4), pages 517-529, September.
    3. Zhang, Min & Wang, Jinman & Zhang, Yu & Wang, Jin, 2023. "Ecological response of land use change in a large opencast coal mine area of China," Resources Policy, Elsevier, vol. 82(C).
    4. Marcell K. Peters & Andreas Hemp & Tim Appelhans & Joscha N. Becker & Christina Behler & Alice Classen & Florian Detsch & Andreas Ensslin & Stefan W. Ferger & Sara B. Frederiksen & Friederike Gebert &, 2019. "Climate–land-use interactions shape tropical mountain biodiversity and ecosystem functions," Nature, Nature, vol. 568(7750), pages 88-92, April.
    5. Xiaomin Guo & Chuanglin Fang, 2021. "Integrated Land Use Change Related Carbon Source/Sink Examination in Jiangsu Province," Land, MDPI, vol. 10(12), pages 1-18, November.
    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. Bloch, Harry & Rafiq, Shuddhasattwa & Salim, Ruhul, 2015. "Economic growth with coal, oil and renewable energy consumption in China: Prospects for fuel substitution," Economic Modelling, Elsevier, vol. 44(C), pages 104-115.
    2. Shahbaz, Muhammad & Hoang, Thi Hong Van & Mahalik, Mantu Kumar & Roubaud, David, 2017. "Energy consumption, financial development and economic growth in India: New evidence from a nonlinear and asymmetric analysis," Energy Economics, Elsevier, vol. 63(C), pages 199-212.
    3. Burcu Kiran, 2011. "Fractional Cointegration Relationship between Oil Prices and Stock Markets: An Empirical Analysis from G7 Countries," Prague Economic Papers, Prague University of Economics and Business, vol. 2011(2), pages 177-189.
    4. Asongu, Simplice A. & Odhiambo, Nicholas M., 2021. "Inequality, finance and renewable energy consumption in Sub-Saharan Africa," Renewable Energy, Elsevier, vol. 165(P1), pages 678-688.
    5. Luis Gil-Alana, 2004. "Forecasting the real output using fractionally integrated techniques," Applied Economics, Taylor & Francis Journals, vol. 36(14), pages 1583-1589.
    6. Liu, Yaping & Sadiq, Farah & Ali, Wajahat & Kumail, Tafazal, 2022. "Does tourism development, energy consumption, trade openness and economic growth matters for ecological footprint: Testing the Environmental Kuznets Curve and pollution haven hypothesis for Pakistan," Energy, Elsevier, vol. 245(C).
    7. Ouyang, Yaofu & Li, Peng, 2018. "On the nexus of financial development, economic growth, and energy consumption in China: New perspective from a GMM panel VAR approach," Energy Economics, Elsevier, vol. 71(C), pages 238-252.
    8. Guglielmo Maria Caporale & Juncal Cunado & Luis A. Gil-Alana & Rangan Gupta, 2018. "The relationship between healthcare expenditure and disposable personal income in the US states: a fractional integration and cointegration analysis," Empirical Economics, Springer, vol. 55(3), pages 913-935, November.
    9. Namahoro, J.P. & Wu, Q. & Su, H., 2023. "Wind energy, industrial-economic development and CO2 emissions nexus: Do droughts matter?," Energy, Elsevier, vol. 278(PA).
    10. Dong, Kangyin & Sun, Renjin & Li, Hui & Liao, Hua, 2018. "Does natural gas consumption mitigate CO2 emissions: Testing the environmental Kuznets curve hypothesis for 14 Asia-Pacific countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 419-429.
    11. Udi Joshua & Festus V. Bekun & Samuel A. Sarkodie, 2020. "New Insight into the Causal Linkage between Economic Expansion, FDI, Coal consumption, Pollutant emissions and Urbanization in South Africa," Working Papers 20/011, European Xtramile Centre of African Studies (EXCAS).
    12. Nevrla, Matěj, 2020. "Systemic risk in European financial and energy sectors: Dynamic factor copula approach," Economic Systems, Elsevier, vol. 44(4).
    13. Adekoya, Oluwasegun B. & Olabode, Joshua K. & Rafi, Syed K., 2021. "Renewable energy consumption, carbon emissions and human development: Empirical comparison of the trajectories of world regions," Renewable Energy, Elsevier, vol. 179(C), pages 1836-1848.
    14. Frempong, Raymond Boadi & Orkoh, Emmanuel & Kofinti, Raymond Elikplim, 2021. "Household's use of cooking gas and Children's learning outcomes in rural Ghana," Energy Economics, Elsevier, vol. 103(C).
    15. Derek Bond & Michael J. Harrison & Edward J. O'Brien, 2005. "Testing for Long Memory and Nonlinear Time Series: A Demand for Money Study," Trinity Economics Papers tep20021, Trinity College Dublin, Department of Economics.
    16. Shahbaz, Muhammad & Nasreen, Samia & Ling, Chong Hui & Sbia, Rashid, 2014. "Causality between trade openness and energy consumption: What causes what in high, middle and low income countries," Energy Policy, Elsevier, vol. 70(C), pages 126-143.
    17. Huan Zhou & Shaojian Qu & Qinglu Yuan & Shilei Wang, 2020. "Spatial Effects and Nonlinear Analysis of Energy Consumption, Financial Development, and Economic Growth in China," Energies, MDPI, vol. 13(18), pages 1-18, September.
    18. Fei Yang & Chunchen Wang, 2023. "Clean energy, emission trading policy, and CO2 emissions: Evidence from China," Energy & Environment, , vol. 34(5), pages 1657-1673, August.
    19. Sohail Abbas & Shazia Kousar & Amber Pervaiz, 2021. "Effects of energy consumption and ecological footprint on CO2 emissions: an empirical evidence from Pakistan," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 13364-13381, September.
    20. Xu, Deyi & Sheraz, Muhammad & Hassan, Arshad & Sinha, Avik & Ullah, Saif, 2022. "Financial development, renewable energy and CO2 emission in G7 countries: New evidence from non-linear and asymmetric analysis," Energy Economics, Elsevier, vol. 109(C).

    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:12:y:2023:i:11:p:2060-:d:1279075. 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.