IDEAS home Printed from https://ideas.repec.org/a/wly/natres/v47y2023i2p192-213.html
   My bibliography  Save this article

Decoupling analysis of water consumption and economic development of arid and semiarid regions in Northwest China

Author

Listed:
  • Changfeng Shi
  • Luji Li
  • Yung‐Ho Chiu
  • Yanying Wang
  • Ang Li

Abstract

The contradiction between China's economic development, its need for resources and the protection of the environment is ctitical. Scarce water resources have resulted in a considerable bottleneck restricting the economic development of water‐deficient areas. An objective evaluation of the decoupling state of water consumption and economic development has become an important indicator of regional economic sustainable development. Based on panel data from 2000 to 2017 for six provinces in the arid and semiarid regions of Northwest China, the Logarithmic Mean Divisia Index method is employed to decompose the factors of the decoupling index and establish a decoupling relationship model between water consumption and economic development. The reasons that affect the decoupling state of water resource utilization and economic development are herein discussed, and the stability of the decoupling trend is analysed. Based on the overall regional trend, the decoupling state of the arid and semiarid regions in Northwest China improved from weak to strong, but the high decoupling stability index varied among the provinces. The intensity and structure were promotional factors for decoupling water consumption and economic development, and the contribution rate of the intensity factor was higher than that of the structure factor. Income and population were inhibiting factors for decoupling water consumption and economic development, and the contribution rate of the income factor was higher than that of the population factor. Based on these results, corresponding policy recommendations are provided.

Suggested Citation

  • Changfeng Shi & Luji Li & Yung‐Ho Chiu & Yanying Wang & Ang Li, 2023. "Decoupling analysis of water consumption and economic development of arid and semiarid regions in Northwest China," Natural Resources Forum, Blackwell Publishing, vol. 47(2), pages 192-213, May.
  • Handle: RePEc:wly:natres:v:47:y:2023:i:2:p:192-213
    DOI: 10.1111/1477-8947.12276
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1477-8947.12276
    Download Restriction: no

    File URL: https://libkey.io/10.1111/1477-8947.12276?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Yang, Lin & Yang, Yuantao & Zhang, Xian & Tang, Kai, 2018. "Whether China's industrial sectors make efforts to reduce CO2 emissions from production? - A decomposed decoupling analysis," Energy, Elsevier, vol. 160(C), pages 796-809.
    2. Anil Markandya & Alexander Golub & Suzette Pedroso-Galinato, 2006. "Empirical Analysis of National Income and SO 2 Emissions in Selected European Countries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 35(3), pages 221-257, November.
    3. 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.
    4. Linna Chen & Shiyi Chen, 2015. "The Estimation of Environmental Kuznets Curve in China: Nonparametric Panel Approach," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 405-420, October.
    5. Alexi Thompson & Christopher Jeffords, 2017. "Virtual Water and an EKC for Water Pollution," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(3), pages 1061-1066, February.
    6. Shasha Wang & Rongrong Li, 2018. "Toward the Coordinated Sustainable Development of Urban Water Resource Use and Economic Growth: An Empirical Analysis of Tianjin City, China," Sustainability, MDPI, vol. 10(5), pages 1-13, April.
    7. Krishna Paudel & Hector Zapata & Dwi Susanto, 2005. "An Empirical Test of Environmental Kuznets Curve for Water Pollution," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 31(3), pages 325-348, July.
    8. Ang, B.W. & Liu, Na, 2007. "Handling zero values in the logarithmic mean Divisia index decomposition approach," Energy Policy, Elsevier, vol. 35(1), pages 238-246, January.
    9. Changfeng Shi & Hang Yuan & Qinghua Pang & Yangyang Zhang, 2020. "Research on the Decoupling of Water Resources Utilization and Agricultural Economic Development in Gansu Province from the Perspective of Water Footprint," IJERPH, MDPI, vol. 17(16), pages 1-16, August.
    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. Changfeng Shi & Hang Yuan & Qinghua Pang & Yangyang Zhang, 2020. "Research on the Decoupling of Water Resources Utilization and Agricultural Economic Development in Gansu Province from the Perspective of Water Footprint," IJERPH, MDPI, vol. 17(16), pages 1-16, August.
    2. Afees A. Salisu & Lateef O. Akanni & Ahamuefula Ephraim Ogbonna, 2018. "Forecasting CO2 emissions: Does the choice of estimator matter?," Working Papers 045, Centre for Econometric and Allied Research, University of Ibadan.
    3. D. Jingyuan I. & L. Chong I. & L. Marsiliani & D. Jingyuan I. & L. Chong I. & L. Marsiliani, 2018. "Взаимосвязь между экономическим ростом и окружающей средой в Пекине на основе показателя PM2.5 // The Relationship between Growth and the Environment in Beijing, Using PM2.5 Concentrations," Review of Business and Economics Studies // Review of Business and Economics Studies, Финансовый Университет // Financial University, vol. 6(2), pages 5-18.
    4. Mazzanti, Massimiliano & Montini, Anna & Zoboli, Roberto, 2006. "Municipal Waste Production, Economic Drivers, and 'New' Waste Policies: EKC Evidence from Italian Regional and Provincial Panel Data," Climate Change Modelling and Policy Working Papers 12053, Fondazione Eni Enrico Mattei (FEEM).
    5. Alvarez-Herranz, Agustin & Balsalobre-Lorente, Daniel & Shahbaz, Muhammad & Cantos, José María, 2017. "Energy innovation and renewable energy consumption in the correction of air pollution levels," Energy Policy, Elsevier, vol. 105(C), pages 386-397.
    6. Panagiotis Fotis & Michael Polemis, 2018. "Sustainable development, environmental policy and renewable energy use: A dynamic panel data approach," Sustainable Development, John Wiley & Sons, Ltd., vol. 26(6), pages 726-740, November.
    7. Ching-Yao Irene Lai & C.C. Yang, 2014. "Scale Effect Versus Induced Policy Response In The Environmental Kuznets Curve: The Case Of U.S. Water Pollution," Contemporary Economic Policy, Western Economic Association International, vol. 32(2), pages 435-450, April.
    8. Y. Farzin & Kelly Grogan, 2013. "Socioeconomic factors and water quality in California," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 15(1), pages 1-37, January.
    9. Bölük, Gülden & Mert, Mehmet, 2014. "Fossil & renewable energy consumption, GHGs (greenhouse gases) and economic growth: Evidence from a panel of EU (European Union) countries," Energy, Elsevier, vol. 74(C), pages 439-446.
    10. Massimiliano Mazzanti & Roberto Zoboli, 2007. "Environmental Efficiency, Emission Trends and Labour Productivity: Trade-Off or Joint Dynamics? Empirical Evidence Using NAMEA Panel Data," Working Papers 2007.40, Fondazione Eni Enrico Mattei.
    11. Kais, Saidi & Sami, Hammami, 2016. "An econometric study of the impact of economic growth and energy use on carbon emissions: Panel data evidence from fifty eight countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1101-1110.
    12. Ren, Shenggang & Yuan, Baolong & Ma, Xie & Chen, Xiaohong, 2014. "International trade, FDI (foreign direct investment) and embodied CO2 emissions: A case study of Chinas industrial sectors," China Economic Review, Elsevier, vol. 28(C), pages 123-134.
    13. Chien-Ho Wang & Ming-Hui Ko & Wan-Jiun Chen, 2019. "Effects of Kyoto Protocol on CO 2 Emissions: A Five-Country Rolling Regression Analysis," Sustainability, MDPI, vol. 11(3), pages 1-20, January.
    14. Yanli Ji & Jie Xue, 2022. "Decoupling Effect of County Carbon Emissions and Economic Growth in China: Empirical Evidence from Jiangsu Province," IJERPH, MDPI, vol. 19(6), pages 1-22, March.
    15. Yong Yang & Junsong Jia & Chundi Chen, 2020. "Residential Energy-Related CO 2 Emissions in China’s Less Developed Regions: A Case Study of Jiangxi," Sustainability, MDPI, vol. 12(5), pages 1-28, March.
    16. Alexandra Soberon & Irene D’Hers, 2020. "The Environmental Kuznets Curve: A Semiparametric Approach with Cross-Sectional Dependence," JRFM, MDPI, vol. 13(11), pages 1-23, November.
    17. Peter Rafaj & Markus Amann & José Siri & Henning Wuester, 2014. "Changes in European greenhouse gas and air pollutant emissions 1960–2010: decomposition of determining factors," Climatic Change, Springer, vol. 124(3), pages 477-504, June.
    18. Turner, Karen & Hanley, Nick, 2011. "Energy efficiency, rebound effects and the environmental Kuznets Curve," Energy Economics, Elsevier, vol. 33(5), pages 709-720, September.
    19. Fosten, Jack & Morley, Bruce & Taylor, Tim, 2012. "Dynamic misspecification in the environmental Kuznets curve: Evidence from CO2 and SO2 emissions in the United Kingdom," Ecological Economics, Elsevier, vol. 76(C), pages 25-33.
    20. Krishna Paudel & Mark Schafer, 2009. "The Environmental Kuznets Curve Under a New Framework: The Role of Social Capital in Water Pollution," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 42(2), pages 265-278, February.

    More about this item

    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:wly:natres:v:47:y:2023:i:2:p:192-213. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1477-8947 .

    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.