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Industrial and Agricultural Water Use Efficiency and Influencing Factors in the Process of Urbanization in the Middle and Lower Reaches of the Yellow River Basin, China

Author

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  • Jincai Zhao

    (Business School, Henan Normal University, Xinxiang 453007, China
    Research Institute for Rural Revitalization and Common Prosperity, Henan Normal University, Xinxiang 453007, China)

  • Yiyao Wang

    (Business School, Henan Normal University, Xinxiang 453007, China)

  • Xiufeng Zhang

    (Business School, Henan Normal University, Xinxiang 453007, China
    Research Institute for Rural Revitalization and Common Prosperity, Henan Normal University, Xinxiang 453007, China)

  • Qianxi Liu

    (School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China)

Abstract

Improving water utilization efficiency can effectively alleviate the contradiction between water shortage and water demand in the process of rapid urbanization. The middle and lower reaches of the Yellow River Basin, China, are characterized by water shortage. In order to improve water use efficiency, taking the 43 prefecture-level units in this region as the study area, industrial and agricultural water use efficiency is calculated based on the undesired SBM-DEA model. Then, the Tobit model is used to explore their influencing factors. The results show that the regional average agricultural water use efficiency is greater than the industrial water use efficiency. The temporal trend indicates that the agricultural water use efficiency shows a fluctuating upward trend, while industrial water use efficiency has a fluctuating downward trend. The gravity center of industrial water use efficiency moves from northwest to southeast in a “Z” shape, while the gravity center of agricultural water use efficiency moves westward as a whole. From the perspective of spatial patterns, the standard deviation ellipse of industrial water use efficiency shows that the industrial water use efficiency is higher in the east–west direction, while the agricultural water use efficiency is higher in the northwest–southeast direction. The improvement of urbanization level is conducive to the improvement of industrial water use efficiency; however, the development of urbanization has a significant inhibitory effect on improving agricultural water use efficiency.

Suggested Citation

  • Jincai Zhao & Yiyao Wang & Xiufeng Zhang & Qianxi Liu, 2022. "Industrial and Agricultural Water Use Efficiency and Influencing Factors in the Process of Urbanization in the Middle and Lower Reaches of the Yellow River Basin, China," Land, MDPI, vol. 11(8), pages 1-18, August.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:8:p:1248-:d:881344
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    References listed on IDEAS

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    1. Weinan Lu & Apurbo Sarkar & Mengyang Hou & Wenxin Liu & Xinyi Guo & Kai Zhao & Minjuan Zhao, 2022. "The Impacts of Urbanization to Improve Agriculture Water Use Efficiency—An Empirical Analysis Based on Spatial Perspective of Panel Data of 30 Provinces of China," Land, MDPI, vol. 11(1), pages 1-20, January.
    2. Qiang Zhang & Chong-Yu Xu & Tao Yang, 2009. "Variability of Water Resource in the Yellow River Basin of Past 50 Years, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(6), pages 1157-1170, April.
    3. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    4. Qiuxia Zhou & Changfeng Tong, 2022. "Does Rapid Urbanization Improve Green Water-Use Efficiency? Based on the Investigation of Guangdong Province, China," Sustainability, MDPI, vol. 14(12), pages 1-12, June.
    5. Hu, Yajin & Ma, Penghui & Wu, Shufang & Sun, Benhua & Feng, Hao & Pan, Xiaolian & Zhang, Binbin & Chen, Guangjie & Duan, Chenxiao & Lei, Qi & Siddique, Kadambot H.M. & Liu, Boyang, 2020. "Spatial-temporal distribution of winter wheat (Triticum aestivum L.) roots and water use efficiency under ridge–furrow dual mulching," Agricultural Water Management, Elsevier, vol. 240(C).
    6. Long, Kaisheng & Pijanowski, Bryan C., 2017. "Is there a relationship between water scarcity and water use efficiency in China? A national decadal assessment across spatial scales," Land Use Policy, Elsevier, vol. 69(C), pages 502-511.
    7. Rolf Färe & Shawna Grosskopf & Carl A Pasurka, Jr., 2001. "Accounting for Air Pollution Emissions in Measures of State Manufacturing Productivity Growth," Journal of Regional Science, Wiley Blackwell, vol. 41(3), pages 381-409, August.
    8. Xuhui Ding & Zhu Fu & Hongwen Jia, 2019. "Study on Urbanization Level, Urban Primacy and Industrial Water Utilization Efficiency in the Yangtze River Economic Belt," Sustainability, MDPI, vol. 11(23), pages 1-13, November.
    9. Yan, Tingting & Wang, Jinxia & Huang, Jikun, 2015. "Urbanization, agricultural water use, and regional and national crop production in China," Ecological Modelling, Elsevier, vol. 318(C), pages 226-235.
    10. 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).
    11. Lu, Chengpeng & Ji, Wei & Hou, Muchen & Ma, Tianyang & Mao, Jinhuang, 2022. "Evaluation of efficiency and resilience of agricultural water resources system in the Yellow River Basin, China," Agricultural Water Management, Elsevier, vol. 266(C).
    12. Laureti, Tiziana & Benedetti, Ilaria & Branca, Giacomo, 2021. "Water use efficiency and public goods conservation: A spatial stochastic frontier model applied to irrigation in Southern Italy," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).
    13. Shang, Yizi & Lu, Shibao & Shang, Ling & Li, Xiaofei & Shi, Hongwang & Li, Wei, 2017. "Decomposition of industrial water use from 2003 to 2012 in Tianjin, China," Technological Forecasting and Social Change, Elsevier, vol. 116(C), pages 53-61.
    14. Bingquan Liu & Yongqing Li & Rui Hou & Hui Wang, 2019. "Does Urbanization Improve Industrial Water Consumption Efficiency?," Sustainability, MDPI, vol. 11(6), pages 1-17, March.
    15. Ziqi Yan & Zuhao Zhou & Jiajia Liu & Hao Wang & Dong Li, 2020. "Water use characteristics and impact factors in the Yellow River basin, China," Water International, Taylor & Francis Journals, vol. 45(3), pages 148-168, April.
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