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

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  • 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
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    References listed on IDEAS

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    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. 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.
    4. 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.
    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. 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.
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