IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v36y2022i2d10.1007_s11269-021-03045-5.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-021-03045-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11269-021-03045-5?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.

    References listed on IDEAS

    as
    1. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    2. 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.
    3. 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.
    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. 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.
    6. Kumar, Surender, 2006. "Environmentally sensitive productivity growth: A global analysis using Malmquist-Luenberger index," Ecological Economics, Elsevier, vol. 56(2), pages 280-293, February.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. 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.
    2. 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.

    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. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    2. Yongyi Cheng & Liheng Lu & Tianyuan Shao & Manhong Shen & Laiqun Jin, 2018. "Decomposition Analysis of Factors Affecting Changes in Industrial Wastewater Emission Intensity in China: Based on a SSBM-GMI Approach," IJERPH, MDPI, vol. 15(12), pages 1-23, December.
    3. Arabi, Behrouz & Munisamy, Susila & Emrouznejad, Ali, 2015. "A new slacks-based measure of Malmquist–Luenberger index in the presence of undesirable outputs," Omega, Elsevier, vol. 51(C), pages 29-37.
    4. Zhang, Junfeng & Fang, Hong & Wang, Hongxia & Jia, Mingshun & Wu, Junjie & Fang, Siran, 2017. "Energy efficiency of airlines and its influencing factors: A comparison between China and the United States," Resources, Conservation & Recycling, Elsevier, vol. 125(C), pages 1-8.
    5. Chen, Xiang & Chen, Yong & Huang, Wenli & Zhang, Xuping, 2023. "A new Malmquist-type green total factor productivity measure: An application to China," Energy Economics, Elsevier, vol. 117(C).
    6. Haiyan Deng & Ge Bai & Kristiaan Kerstens & Zhiyang Shen, 2023. "Comparing green productivity under convex and nonconvex technologies: Which is a robust approach consistent with energy structure?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(8), pages 4377-4394, December.
    7. Joshi, Shruti & Nath, Siddhartha & Ranjan, Abhishek, 2023. "Green Total Factor Productivity for India: Some Recent Estimates and Policy Directions," MPRA Paper 117717, University Library of Munich, Germany.
    8. Sinwoo Lee & Dong-Woon Noh & Dong-hyun Oh, 2018. "Characterizing the Difference between Indirect and Direct CO 2 Emissions: Evidence from Korean Manufacturing Industries, 2004–2010," Sustainability, MDPI, vol. 10(8), pages 1-16, August.
    9. Liu, Wei & Zhan, Jinyan & Zhao, Fen & Wang, Pei & Li, Zhihui & Teng, Yanmin, 2018. "Changing trends and influencing factors of energy productivity growth: A case study in the Pearl River Delta Metropolitan Region," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 1-9.
    10. Li, Mingquan & Wang, Qi, 2014. "International environmental efficiency differences and their determinants," Energy, Elsevier, vol. 78(C), pages 411-420.
    11. Emrouznejad, Ali & Yang, Guo-liang, 2016. "CO2 emissions reduction of Chinese light manufacturing industries: A novel RAM-based global Malmquist–Luenberger productivity index," Energy Policy, Elsevier, vol. 96(C), pages 397-410.
    12. Gómez-Calvet, Roberto & Conesa, David & Gómez-Calvet, Ana Rosa & Tortosa-Ausina, Emili, 2014. "Energy efficiency in the European Union: What can be learned from the joint application of directional distance functions and slacks-based measures?," Applied Energy, Elsevier, vol. 132(C), pages 137-154.
    13. Juan Du & Yongrui Duan & Jinghua Xu, 2019. "The infeasible problem of Malmquist–Luenberger index and its application on China’s environmental total factor productivity," Annals of Operations Research, Springer, vol. 278(1), pages 235-253, July.
    14. Min Wang & Meng Ji & Xiaofen Wu & Kexin Deng & Xiaodong Jing, 2023. "Analysis on Evaluation and Spatial-Temporal Evolution of Port Cluster Eco-Efficiency: Case Study from the Yangtze River Delta in China," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    15. Meng, Ming & Qu, Danlei, 2022. "Understanding the green energy efficiencies of provinces in China: A Super-SBM and GML analysis," Energy, Elsevier, vol. 239(PA).
    16. Arabi, Behrouz & Munisamy, Susila & Emrouznejad, Ali & Shadman, Foroogh, 2014. "Power industry restructuring and eco-efficiency changes: A new slacks-based model in Malmquist–Luenberger Index measurement," Energy Policy, Elsevier, vol. 68(C), pages 132-145.
    17. Ruomeng Zhou & Yunsheng Zhang, 2023. "Measurement of Urban Green Total Factor Productivity and Analysis of Its Temporal and Spatial Evolution in China," Sustainability, MDPI, vol. 15(12), pages 1-32, June.
    18. Long, Xingle & Wu, Chao & Zhang, Jijian & Zhang, Jing, 2018. "Environmental efficiency for 192 thermal power plants in the Yangtze River Delta considering heterogeneity: A metafrontier directional slacks-based measure approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3962-3971.
    19. Chung, Yeimin & Heshmati, Almas, 2013. "Measurement of Environmentally Sensitive Productivity Growth in Korean Industries," IZA Discussion Papers 7235, Institute of Labor Economics (IZA).
    20. Jian Chai & Wenyue Fan & Jing Han, 2019. "Does the Energy Efficiency of Power Companies Affect Their Industry Status? A DEA Analysis of Listed Companies in Thermal Power Sector," Sustainability, MDPI, vol. 12(1), pages 1-12, December.

    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:spr:waterr:v:36:y:2022:i:2:d:10.1007_s11269-021-03045-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.