IDEAS home Printed from https://ideas.repec.org/a/wsi/cjuesx/v06y2018i04ns2345748118500239.html
   My bibliography  Save this article

Study on Water Resources Efficiency with the Regional Water Resources Carrying Capacity into Consideration

Author

Listed:
  • Xifeng WANG

    (Institute of Quantitative and Technical Economics, Chinese Academy of Social Sciences, No. 5 Jianguomennei Street, Dongcheng District, Beijing 100732, P. R. China2State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (SKL-WAC), China Institute of Water Resources and Hydropower Research (IWHR), Room 936 of Block D, Jia No.1 Fuxing Road, Haidian District, Beijing 100038, P. R. China)

Abstract

Most of the existing studies on regional water resources efficiency only consider the total regional water use while ignoring the regional endowment. Therefore, it is essential to introduce the water resources carrying capacity into the study. Given that data envelopment analysis (DEA) cannot compare the time series of a single decision-making unit, we employ the DEA-window analysis to study China’s water resources efficiency during 2005–2012 with the regional carrying capacity being considered, and analyze the spatiotemporal evolution. The study shows that such efficiency has increased from 0.71 in 2005 to 0.79 in 2012. High water resources efficiency is observed in Liaoning, Tibet, Yunnan, Beijing, Tianjin, Shanghai, Jiangsu, Zhejiang, Guangdong and Sichuan, where the output levels and utilization ratios of water resources are positively correlated. Low water resources efficiency is observed in Henan, Shaanxi, Gansu, Ningxia and Xinjiang which feature high-level utilization and low carrying capacity of water resources. As for regional water resources efficiency, eastern and southern coastal regions rank first, followed by Northeast China and northern coastal regions, southwest and northwest regions of China and lastly the middle reaches of the Yellow and Yangtze Rivers. Therefore, policy-makers should not only accord the regional development with carrying capacity, but also enhance cross-regional industrial cooperation for coordinated development.

Suggested Citation

  • Xifeng WANG, 2018. "Study on Water Resources Efficiency with the Regional Water Resources Carrying Capacity into Consideration," Chinese Journal of Urban and Environmental Studies (CJUES), World Scientific Publishing Co. Pte. Ltd., vol. 6(04), pages 1-16, December.
  • Handle: RePEc:wsi:cjuesx:v:06:y:2018:i:04:n:s2345748118500239
    DOI: 10.1142/S2345748118500239
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S2345748118500239
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S2345748118500239?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhiheng Ji & Wei Yu, 2022. "Research on Spatial Difference, Distribution Dynamics and Influencing Factors of Urban Water-Use Efficiency in the Yellow River Basin," Sustainability, MDPI, vol. 15(1), pages 1-15, December.
    2. Chongfeng Ren & Jiantao Yang & Hongbo Zhang, 2019. "An inexact fractional programming model for irrigation water resources optimal allocation under multiple uncertainties," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-17, June.
    3. Boyang Sun & Xiaohua Yang & Yipeng Zhang & Xiaojuan Chen, 2019. "Evaluation of Water Use Efficiency of 31 Provinces and Municipalities in China Using Multi-Level Entropy Weight Method Synthesized Indexes and Data Envelopment Analysis," Sustainability, MDPI, vol. 11(17), pages 1-11, August.

    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:wsi:cjuesx:v:06:y:2018:i:04:n:s2345748118500239. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/cjues/cjues.shtml .

    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.