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Measurement of Resource Environmental Performance of Crop Planting Water Consumption Based on Water Footprint and Data Enveloped Analysis

Author

Listed:
  • Shuo Wang

    (Key Laboratory of Groundwater Resources and Environment (Jilin University), Ministry of Education
    Jilin University
    Jilin University)

  • Naixu Tian

    (Jilin University
    Northeast Normal University)

  • Yuqi Dai

    (Jilin University
    Beijing Normal University)

  • Haiyan Duan

    (Key Laboratory of Groundwater Resources and Environment (Jilin University), Ministry of Education
    Jilin University
    Jilin University)

Abstract

Pollutants and water consumption in agriculture are essential factors in terms of water environment resource conservation. Calculating the water resource use efficiency of crops is crucial to reduce water consumption and pollution to alleviate the conflict between water use and food. Herein, we presented an integrated research framework that coupled the water footprint with data envelope analysis (DEA) to calculate the water resource use efficiency. Based on the calculation of the water footprint of three crop species (rice, corn, and soybean) in nine cities of Jilin Province from 2009 to 2016, we measured the resource use efficiency of crop water consumption through a superefficient slack-based measure. The driving force of variation in the resource use efficiency was determined by using the Malmquist–Luenberger index at a spatiotemporal scale and breaking down the driving force into an efficiency change and a technical change based on the evaluation results. Siping ranked first in the resource use efficiency of crop water consumption, whereas Yanbian ranked ninth. The technical change value based on the Malmquist–Luenberger index was less than 1, suggesting that it is essential that resource use efficiency in Jilin Province be improved. Moreover, the resource use efficiency in eastern cities with abundant water resources, such as Baishan and Yanbian, needs to be improved. The proposed water footprint can be coupled with the data envelopment analysis framework to provide a more reasonable evaluation that can be used by managers and regulators.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:waterr:v:36:y:2022:i:2:d:10.1007_s11269-021-03045-5
    DOI: 10.1007/s11269-021-03045-5
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    References listed on IDEAS

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    1. Bian, Yiwen & Yan, Shuai & Xu, Hao, 2014. "Efficiency evaluation for regional urban water use and wastewater decontamination systems in China: A DEA approach," Resources, Conservation & Recycling, Elsevier, vol. 83(C), pages 15-23.
    2. Kumar, Surender, 2006. "Environmentally sensitive productivity growth: A global analysis using Malmquist-Luenberger index," Ecological Economics, Elsevier, vol. 56(2), pages 280-293, February.
    3. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    4. Gidion, Dickson K. & Hong, Jin & Adams, Magdalene Z.A. & Khoveyni, Mohammad, 2019. "Network DEA models for assessing urban water utility efficiency," Utilities Policy, Elsevier, vol. 57(C), pages 48-58.
    5. 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.
    6. Yizhong Chen & Hongwei Lu & Jing Li & Pengdong Yan & He Peng, 2021. "Multi-Level Decision-Making for Inter-Regional Water Resources Management with Water Footprint Analysis and Shared Socioeconomic Pathways," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(2), pages 481-503, January.
    7. 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.
    8. Sidhu, H.S. & Jat, M.L. & Singh, Yadvinder & Sidhu, Ravneet Kaur & Gupta, Naveen & Singh, Parvinder & Singh, Pankaj & Jat, H.S. & Gerard, Bruno, 2019. "Sub-surface drip fertigation with conservation agriculture in a rice-wheat system: A breakthrough for addressing water and nitrogen use efficiency," Agricultural Water Management, Elsevier, vol. 216(C), pages 273-283.
    9. 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.
    10. 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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    1. Leonidas Sotirios Kyrgiakos & Georgios Kleftodimos & George Vlontzos & Panos M. Pardalos, 2023. "A systematic literature review of data envelopment analysis implementation in agriculture under the prism of sustainability," Operational Research, Springer, vol. 23(1), pages 1-38, March.
    2. Wasi Ul Hassan Shah & Yuting Lu & Gang Hao & Hong Yan & Rizwana Yasmeen, 2022. "Impact of “Three Red Lines” Water Policy (2011) on Water Usage Efficiency, Production Technology Heterogeneity, and Determinant of Water Productivity Change in China," IJERPH, MDPI, vol. 19(24), pages 1-23, December.

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