IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v24y2022i10d10.1007_s10668-021-01940-w.html
   My bibliography  Save this article

Measuring water resource use efficiency of the Dong Nai River Basin (Vietnam): an application of the two-stage data envelopment analysis (DEA)

Author

Listed:
  • Nguyen Truc Le

    (Vietnam National University)

  • Nguyen An Thinh

    (Vietnam National University)

  • Nguyen Thi Vinh Ha

    (Vietnam National University)

  • Nguyen Dinh Tien

    (Vietnam National University)

  • Nguyen Duc Lam

    (Vietnam National University)

  • Nguyen Van Hong

    (Vietnam Academy of Science and Technology (VAST))

  • Nguyen Tat Tuan

    (Centre for Water Resources Warning and Forecasting (CEWAFO))

  • Ta Van Hanh

    (Vietnam Academy of Science and Technology (VAST))

  • Nguyen Ngoc Khanh

    (Vietnam Academy of Social Sciences (VASS))

  • Nguyen Ngoc Thanh

    (Vietnam Academy of Social Sciences (VASS))

  • Luc Hens

    (Flemish Institute for Technological Research (VITO))

Abstract

The recent growth of agriculture, industry and urban areas in Vietnam requires a large amount of water consumption as a production factor. This paper explores the water resource use efficiency (WRUE) of the Vietnamese Dong Nai River Basin during 2010–2017. Twenty-nine sub-basins of the Dong Nai River Basin are selected as decision-making units to characterize WRUE. The relationship between water use and the socio-economic development is analyzed using the WRUE in the social and economic subsystems. The results show that: (1) most water is used by agriculture (72% of water resource consumption), next to industry (12%) and service (9%); (2) On the WRUE in both social and economic subsystems, Phuoc Hoa and Sai Gon sub-basins have the efficiency optimum. Water use in Can Don is technically efficient. Sub-basins of Dong Nai 1–8 have the lowest technical efficiency; (3) The Dong Nai River Basin has a positive change in total factor productivity over time, however WRUE decreases gradually; and (4) Urban areas use less water than the rural areas. An improvement of the WRUE is an essential way for sustaining water uses in the severe water shortage sub-basins such as Phuoc Hoa, Sai Gon, and Can Don. The study findings imply that two-stage DEA is useful for policymakers to make right decisions for water resource management and the improvement of WRUE.

Suggested Citation

  • Nguyen Truc Le & Nguyen An Thinh & Nguyen Thi Vinh Ha & Nguyen Dinh Tien & Nguyen Duc Lam & Nguyen Van Hong & Nguyen Tat Tuan & Ta Van Hanh & Nguyen Ngoc Khanh & Nguyen Ngoc Thanh & Luc Hens, 2022. "Measuring water resource use efficiency of the Dong Nai River Basin (Vietnam): an application of the two-stage data envelopment analysis (DEA)," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(10), pages 12427-12445, October.
    • Handle: RePEc:spr:endesu:v:24:y:2022:i:10:d:10.1007_s10668-021-01940-w
    DOI: 10.1007/s10668-021-01940-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-021-01940-w
    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/s10668-021-01940-w?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. Fare, Rolf & Grosskopf, Shawna, 1996. "Productivity and intermediate products: A frontier approach," Economics Letters, Elsevier, vol. 50(1), pages 65-70, January.
    2. 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.
    3. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    4. Weixin Yang & Lingguang Li, 2017. "Analysis of Total Factor Efficiency of Water Resource and Energy in China: A Study Based on DEA-SBM Model," Sustainability, MDPI, vol. 9(8), pages 1-21, July.
    5. Prakashan Veettil & Stijn Speelman & Guido Huylenbroeck, 2013. "Estimating the Impact of Water Pricing on Water Use Efficiency in Semi-arid Cropping System: An Application of Probabilistically Constrained Nonparametric Efficiency Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(1), pages 55-73, January.
    6. Rolf Färe & Shawna Grosskopf, 2002. "Two Perspectives on DEA: Unveiling the Link between CCR and Shephard," Journal of Productivity Analysis, Springer, vol. 17(1), pages 41-47, January.
    7. Speelman, Stijn & D'Haese, Marijke & Buysse, Jeroen & D'Haese, Luc, 2008. "A measure for the efficiency of water use and its determinants, a case study of small-scale irrigation schemes in North-West Province, South Africa," Agricultural Systems, Elsevier, vol. 98(1), pages 31-39, July.
    8. 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.
    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. Thijs Raa, 2008. "Debreu’s coefficient of resource utilization, the Solow residual, and TFP: the connection by Leontief preferences," Journal of Productivity Analysis, Springer, vol. 30(3), pages 191-199, December.
    2. Halkos, George E. & Aslanidis, Panagiotis – Stavros C., 2023. "Sustainable energy development in an era of geopolitical multi-crisis. Applying productivity indices within institutional framework," Resources Policy, Elsevier, vol. 85(PB).
    3. 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.
    4. Lothgren, Mickael & Tambour, Magnus, 1999. "Productivity and customer satisfaction in Swedish pharmacies: A DEA network model," European Journal of Operational Research, Elsevier, vol. 115(3), pages 449-458, June.
    5. Halkos, George E. & Aslanidis, Panagiotis Stavros C., 2023. "New circular economy perspectives on measuring sustainable waste management productivity," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 764-779.
    6. Mika Kortelainen & Timo Kuosmanen, 2007. "Eco-efficiency analysis of consumer durables using absolute shadow prices," Journal of Productivity Analysis, Springer, vol. 28(1), pages 57-69, October.
    7. Suhyeon Han & Shinyoung Park & Sejin An & Wonjun Choi & Mina Lee, 2023. "Research on Analyzing the Efficiency of R&D Projects for Climate Change Response Using DEA–Malmquist," Sustainability, MDPI, vol. 15(10), pages 1-23, May.
    8. R, Sendhil & P, Ramasundaram & P, Anbukkani & Singh, Randhir & Sharma, Indu, 2015. "Trends and Determinants of Research Driven Total Factor Productivity in Indian Wheat," 2015 Conference, August 9-14, 2015, Milan, Italy 212491, International Association of Agricultural Economists.
    9. Matthias Klumpp & Dominic Loske, 2021. "Sustainability and Resilience Revisited: Impact of Information Technology Disruptions on Empirical Retail Logistics Efficiency," Sustainability, MDPI, vol. 13(10), pages 1-20, May.
    10. Yongqi Feng & Haolin Zhang & Yung-ho Chiu & Tzu-Han Chang, 2021. "Innovation efficiency and the impact of the institutional quality: a cross-country analysis using the two-stage meta-frontier dynamic network DEA model," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3091-3129, April.
    11. Jens J. Krüger, 2020. "Long‐run productivity trends: A global update with a global index," Review of Development Economics, Wiley Blackwell, vol. 24(4), pages 1393-1412, November.
    12. Yu-Chuan Chen & Yung-Ho Chiu & Tzu-Han Chang & Tai-Yu Lin, 2023. "Sustainable Development, Government Efficiency, and People’s Happiness," Journal of Happiness Studies, Springer, vol. 24(4), pages 1549-1578, April.
    13. Feyyaz Cengiz Dikmen, 2016. "Productivity Change: An Empirical Study on Turkish State Universities," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 4(1), pages 27-34, June.
    14. Chi-Yo Huang & Min-Jen Yang & Jeen-Fong Li & Hueiling Chen, 2021. "A DANP-Based NDEA-MOP Approach to Evaluating the Patent Commercialization Performance of Industry–Academic Collaborations," Mathematics, MDPI, vol. 9(18), pages 1-26, September.
    15. Said-Nour Samake, 2022. "Prudential Regulation and Bank Efficiency : Evidence from WAEMU Zone," Working Papers hal-03540209, HAL.
    16. Pontus Mattsson & Jonas Månsson & Christian Andersson & Fredrik Bonander, 2018. "A bootstrapped Malmquist index applied to Swedish district courts," European Journal of Law and Economics, Springer, vol. 46(1), pages 109-139, August.
    17. Alexander Cotte Poveda, 2012. "Estimating Effectiveness of the Control of Violence and Socioeconomic Development in Colombia: An Application of Dynamic Data Envelopment Analysis and Data Panel Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 105(3), pages 343-366, February.
    18. Don U.A. Galagedera & Piyadasa Edirisuriya, 2004. "Performance of Indian commercial banks (1995-2002): an application of data envelopment analysis and Malmquist productivity index," Finance 0408006, University Library of Munich, Germany.
    19. Amar Oukil & Slim Zekri, 2021. "Investigating farming efficiency through a two stage analytical approach: Application to the agricultural sector in Northern Oman," Papers 2104.10943, arXiv.org.
    20. Bao-Ngoc Tong & Cheng-Ping Cheng & Lien-Wen Liang & Yi-Jun Liu, 2023. "Using Network DEA to Explore the Effect of Mobile Payment on Taiwanese Bank Efficiency," Sustainability, MDPI, vol. 15(8), pages 1-18, April.

    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:endesu:v:24:y:2022:i:10:d:10.1007_s10668-021-01940-w. 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.