IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0282051.html

Regional differences and dynamic evolution of agricultural water resources utilization efficiency in China

Author

Listed:
  • Qian Zeng
  • Shuya Cao
  • Jiayi H. E.

Abstract

Improving water resources utilization efficiency is conducive to achieving the sustainable development of water resources. It is essential to explore the regional differences and dynamic evolution of agricultural water resources utilization efficiency in China to promote high-quality development of agriculture. In this study, based on the unexpected output, we build a super slack-based measure model to measure agricultural water resources utilization efficiency in China’s provinces from 2007 to 2018. In addition, we use the Dagum Gini coefficient to analyze the source of regional differences. Finally, we construct the distributed dynamics model to explore the distribution of the dynamic evolution trend of China’s agricultural water resources utilization efficiency. The results reveal that regional difference is the main source of the overall difference in agricultural water resources utilization efficiency in China. Spatial imbalance exists in the development of agricultural water resources utilization efficiency in China. The agricultural water resources utilization efficiency in various provinces and regions of China is relatively stable, having the characteristics of club convergence. The probability of maintaining the initial state is high, and the internal mobility is low. However, with time, the degree of club convergence decreases.

Suggested Citation

  • Qian Zeng & Shuya Cao & Jiayi H. E., 2023. "Regional differences and dynamic evolution of agricultural water resources utilization efficiency in China," PLOS ONE, Public Library of Science, vol. 18(9), pages 1-19, September.
    • Handle: RePEc:plo:pone00:0282051
    DOI: 10.1371/journal.pone.0282051
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0282051
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0282051&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0282051?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. Guofeng Wang & Nan Lin & Xiaoxue Zhou & Zhihui Li & Xiangzheng Deng, 2018. "Three-Stage Data Envelopment Analysis of Agricultural Water Use Efficiency: A Case Study of the Heihe River Basin," Sustainability, MDPI, vol. 10(2), pages 1-17, February.
    2. Zhen Shi & Huinan Huang & Yingju Wu & Yung-Ho Chiu & Shijiong Qin, 2020. "Climate Change Impacts on Agricultural Production and Crop Disaster Area in China," IJERPH, MDPI, vol. 17(13), pages 1-23, July.
    3. Tone, Kaoru & Tsutsui, Miki, 2010. "An epsilon-based measure of efficiency in DEA - A third pole of technical efficiency," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1554-1563, December.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Nazari, Bijan & Liaghat, Abdolmajid & Akbari, Mohammad Reza & Keshavarz, Marzieh, 2018. "Irrigation water management in Iran: Implications for water use efficiency improvement," Agricultural Water Management, Elsevier, vol. 208(C), pages 7-18.
    6. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    7. Cao, Xinchun & Zeng, Wen & Wu, Mengyang & Guo, Xiangping & Wang, Weiguang, 2020. "Hybrid analytical framework for regional agricultural water resource utilization and efficiency evaluation," Agricultural Water Management, Elsevier, vol. 231(C).
    8. Wei Qu & Yanmei Tan & Zhentao Li & Eefje Aarnoudse & Qin Tu, 2020. "Agricultural Water Use Efficiency—A Case Study of Inland-River Basins in Northwest China," Sustainability, MDPI, vol. 12(23), pages 1-18, December.
    9. Chongfeng Ren & Ruihuan Li & Ping Guo, 2016. "Two-Stage DEA Analysis of Water Resource Use Efficiency," Sustainability, MDPI, vol. 9(1), pages 1-17, December.
    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. Zhang, Fengtai & Xiao, Yuedong & Gao, Lei & Ma, Dalai & Su, Ruiqi & Yang, Qing, 2022. "How agricultural water use efficiency varies in China—A spatial-temporal analysis considering unexpected outputs," Agricultural Water Management, Elsevier, vol. 260(C).
    2. Qin, Quande & Li, Xin & Li, Li & Zhen, Wei & Wei, Yi-Ming, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China’s coastal areas," Applied Energy, Elsevier, vol. 185(P1), pages 604-614.
    3. Haixiang Xu & Rui Zhang, 2024. "Dynamic Analysis of Urban Land Use Efficiency in the Western Taiwan Strait Economic Zone," Land, MDPI, vol. 13(8), pages 1-26, August.
    4. Shuo Wang & Naixu Tian & Yuqi Dai & Haiyan Duan, 2022. "Measurement of Resource Environmental Performance of Crop Planting Water Consumption Based on Water Footprint and Data Enveloped Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(2), pages 641-658, January.
    5. Ze Tian & Fang-Rong Ren & Qin-Wen Xiao & Yung-Ho Chiu & Tai-Yu Lin, 2019. "Cross-Regional Comparative Study on Carbon Emission Efficiency of China’s Yangtze River Economic Belt Based on the Meta-Frontier," IJERPH, MDPI, vol. 16(4), pages 1-19, February.
    6. Cai, Jinyang & Zheng, Huanyu & Vardanyan, Michael & Shen, Zhiyang, 2023. "Achieving carbon neutrality through green technological progress: evidence from China," Energy Policy, Elsevier, vol. 173(C).
    7. Zhou, Anhua & Li, Jun, 2021. "Investigate the impact of market reforms on the improvement of manufacturing energy efficiency under China’s provincial-level data," Energy, Elsevier, vol. 228(C).
    8. Zhang, Cai Wen & Yang, Yuanhui, 2023. "Appraisal of regional hospital efficiency and healthcare quality in China: Impacts of subsidies and marketization," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    9. Dalai Ma & Ruonan Chang & Jianwei Tan & Fengtai Zhang & Yin Yan & Zuman Guo & Bitan An & Jiawei Zhang, 2026. "How high-quality development varies in China—a case study of Chongqing based on the EIORES-DEA model," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 13(1), pages 1-18, December.
    10. Wen-Min Lu & Qian Long Kweh & Kai-Chu Yang, 2022. "Multiplicative efficiency aggregation to evaluate Taiwanese local auditing institutions performance," Annals of Operations Research, Springer, vol. 315(2), pages 1243-1262, August.
    11. Marta García-Mollá & Rosa Puertas & Carles Sanchis-Ibor, 2021. "Application of Data Envelopment Analysis to Evaluate Investments in the Modernization of Collective Management Irrigation Systems in Valencia (Spain)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(14), pages 5011-5027, November.
    12. Yi Qu & Xiao Lyu & Wenlong Peng & Zongfei Xin, 2021. "How to Evaluate the Green Utilization Efficiency of Cultivated Land in a Farming Household? A Case Study of Shandong Province, China," Land, MDPI, vol. 10(8), pages 1-18, July.
    13. Ben Lahouel, Béchir & Jouini, Fathi & Taleb, Lotfi, 2025. "Measuring corporate sustainability management in the presence of regulatory constraints," Finance Research Letters, Elsevier, vol. 80(C).
    14. Dalai Ma & Na Zhao & Fengtai Zhang & Yaping Xiao & Zuman Guo & Chunlan Liu, 2022. "Green Total-Factor Energy Efficiency of Construction Industry and Its Driving Factors: Spatial-Temporal Heterogeneity of Yangtze River Economic Belt in China," IJERPH, MDPI, vol. 19(16), pages 1-19, August.
    15. Xu, Xin & Cui, Qiang, 2017. "Evaluating airline energy efficiency: An integrated approach with Network Epsilon-based Measure and Network Slacks-based Measure," Energy, Elsevier, vol. 122(C), pages 274-286.
    16. Yin, Changjun & Hsiao, Bo & See, Kok Fong, 2024. "Efficiency analysis of China's urban water supply utilities using a dynamic multiactivity network DEA model," Structural Change and Economic Dynamics, Elsevier, vol. 71(C), pages 387-404.
    17. Ying Li & Yung-ho Chiu & Tai-Yu Lin, 2019. "The Impact of Economic Growth and Air Pollution on Public Health in 31 Chinese Cities," IJERPH, MDPI, vol. 16(3), pages 1-26, January.
    18. Haian Yu & Zufeng Shang & Fenglai Wang, 2024. "Analysis of the Current Situation of the Construction Industry in Saudi Arabia and the Factors Affecting It: An Empirical Study," Sustainability, MDPI, vol. 16(16), pages 1-23, August.
    19. Ying Qu & Ying Yu & Andrea Appolloni & Mengru Li & Yue Liu, 2017. "Measuring Green Growth Efficiency for Chinese Manufacturing Industries," Sustainability, MDPI, vol. 9(4), pages 1-18, April.
    20. Shuaiyu Yao & Mengmeng Chen & Dmitri Muravev & Wendi Ouyang, 2021. "Eco-Efficiency Analysis for the Russian Cities along the Northern Sea Route: A Data Envelopment Analysis Approach Using an Epsilon-Based Measure Model," IJERPH, MDPI, vol. 18(11), pages 1-16, June.

    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:plo:pone00:0282051. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.