IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i13p2638-d246983.html
   My bibliography  Save this article

A Two-Phase Method to Assess the Sustainability of Water Companies

Author

Listed:
  • Fátima Pérez

    (Departamento de Economía Aplicada, Universidad de Málaga, 29016 Málaga, Spain)

  • Laura Delgado-Antequera

    (Departamento de Economía Aplicada, Universidad de Málaga, 29016 Málaga, Spain)

  • Trinidad Gómez

    (Departamento de Economía Aplicada, Universidad de Málaga, 29016 Málaga, Spain)

Abstract

Composite indicators are becoming more relevant for evaluating the performance of water companies from a holistic perspective. Some of them are related with economic aspects, and others focus on social and environmental features. Consequently, a multidimensional evaluation is necessary for handling the great amount of information provided by multiple single indicators of a different nature. This paper presents a two-phase approach to evaluate the sustainability of water companies. First, a partial composite indicator for each dimension (social, environmental, economic) is obtained using multi-criteria decision making (MCDM). Then, a global indicator is obtained, in terms of the values reached in the previous stage for every partial indicator, by means an optimization problem rooted in data envelopment analysis (DEA). Our proposal offers the possibility of analyzing the performance of each water company under each dimension that characterizes the concept of sustainability, as well as a joint assessment including all the dimensions, facilitating the decision-making process. We apply it to evaluate the sustainability of 163 Portuguese water companies. The results show the strengths and weaknesses of each unit and serve as a guideline to decision-makers on the aspects for improving the performance of water utilities.

Suggested Citation

  • Fátima Pérez & Laura Delgado-Antequera & Trinidad Gómez, 2019. "A Two-Phase Method to Assess the Sustainability of Water Companies," Energies, MDPI, vol. 12(13), pages 1-19, July.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:13:p:2638-:d:246983
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/13/2638/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/13/2638/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Carvalho, Pedro & Marques, Rui Cunha & Berg, Sanford, 2012. "A meta-regression analysis of benchmarking studies on water utilities market structure," Utilities Policy, Elsevier, vol. 21(C), pages 40-49.
    2. Pinto, F.S. & Costa, A.S. & Figueira, J.R. & Marques, R.C., 2017. "The quality of service: An overall performance assessment for water utilities," Omega, Elsevier, vol. 69(C), pages 115-125.
    3. Almeida-Dias, J. & Figueira, J.R. & Roy, B., 2010. "Electre Tri-C: A multiple criteria sorting method based on characteristic reference actions," European Journal of Operational Research, Elsevier, vol. 204(3), pages 565-580, August.
    4. Zhou, P. & Ang, B.W. & Poh, K.L., 2007. "A mathematical programming approach to constructing composite indicators," Ecological Economics, Elsevier, vol. 62(2), pages 291-297, April.
    5. Diaz-Balteiro, L & González-Pachón, J. & Romero, C., 2017. "Measuring systems sustainability with multi-criteria methods: A critical review," European Journal of Operational Research, Elsevier, vol. 258(2), pages 607-616.
    6. Pilar Murias & José Miguel & David Rodríguez, 2008. "A Composite Indicator for University Quality Assesment: The Case of Spanish Higher Education System," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 89(1), pages 129-146, October.
    7. Nazli Aydin & Larry Mays & Theo Schmitt, 2014. "Sustainability Assessment of Urban Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(12), pages 4373-4384, September.
    8. Beatriz Valcárcel-Aguiar & Pilar Murias, 2019. "Evaluation and Management of Urban Liveability: A Goal Programming Based Composite Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(2), pages 689-712, April.
    9. Arnold, Marlen, 2015. "The lack of strategic sustainability orientation in German water companies," Ecological Economics, Elsevier, vol. 117(C), pages 39-52.
    10. Despotis, D.K., 2005. "Measuring human development via data envelopment analysis: the case of Asia and the Pacific," Omega, Elsevier, vol. 33(5), pages 385-390, October.
    11. Hussein Sayed & Ramadan Hamed & Samaa Hazem Hosny & Alyaa Hegazy Abdelhamid, 2018. "Avoiding Ranking Contradictions in Human Development Index Using Goal Programming," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(2), pages 405-442, July.
    12. Corrado Lo Storto, 2018. "Efficiency, Conflicting Goals and Trade-Offs: A Nonparametric Analysis of the Water and Wastewater Service Industry in Italy," Sustainability, MDPI, vol. 10(4), pages 1-22, March.
    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. Vilarinho, Hermilio & D’Inverno, Giovanna & Nóvoa, Henriqueta & Camanho, Ana S., 2023. "The measurement of asset management performance of water companies," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    2. Mergoni, Anna & D'Inverno, Giovanna & Carosi, Laura, 2022. "A composite indicator for measuring the environmental performance of water, wastewater, and solid waste utilities," Utilities Policy, Elsevier, vol. 74(C).
    3. Vilarinho, Hermilio & D’Inverno, Giovanna & Nóvoa, Henriqueta & Camanho, Ana S., 2023. "Performance analytics for regulation in retail water utilities: Guiding asset management by identifying peers and targets," Utilities Policy, Elsevier, vol. 82(C).
    4. José Antonio, Palomero-González & Vicent, Almenar-Llongo & Ramón, Fuentes-Pascual, 2022. "A composite indicator index as a proxy for measuring the quality of water supply as perceived by users for urban water services," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    5. D’Inverno, Giovanna & Carosi, Laura & Romano, Giulia, 2021. "Environmental sustainability and service quality beyond economic and financial indicators: A performance evaluation of Italian water utilities," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    6. Ramon Sala-Garrido & Manuel Mocholí-Arce & María Molinos-Senante, 2021. "Assessing the Quality of Service of Water Companies: a ‘Benefit of the Doubt’ Composite Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 371-387, May.

    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. Samira El Gibari & Trinidad Gómez & Francisco Ruiz, 2019. "Building composite indicators using multicriteria methods: a review," Journal of Business Economics, Springer, vol. 89(1), pages 1-24, February.
    2. P. Zhou & B. Ang, 2009. "Comparing MCDA Aggregation Methods in Constructing Composite Indicators Using the Shannon-Spearman Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 94(1), pages 83-96, October.
    3. Diogo Ferraz & Enzo B. Mariano & Daisy Rebelatto & Dominik Hartmann, 2020. "Linking Human Development and the Financial Responsibility of Regions: Combined Index Proposals Using Methods from Data Envelopment Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(2), pages 439-478, July.
    4. Francesca Giambona & Erasmo Vassallo, 2014. "Composite Indicator of Social Inclusion for European Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 116(1), pages 269-293, March.
    5. P. Zhou & B. Ang & D. Zhou, 2010. "Weighting and Aggregation in Composite Indicator Construction: a Multiplicative Optimization Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 96(1), pages 169-181, March.
    6. Zhang, L.P. & Zhou, P., 2018. "A non-compensatory composite indicator approach to assessing low-carbon performance," European Journal of Operational Research, Elsevier, vol. 270(1), pages 352-361.
    7. Sahoo, Biresh K. & Acharya, Debashis, 2010. "An alternative approach to monetary aggregation in DEA," European Journal of Operational Research, Elsevier, vol. 204(3), pages 672-682, August.
    8. Färe, Rolf & Karagiannis, Giannis, 2014. "Benefit-of-the-doubt aggregation and the diet problem," Omega, Elsevier, vol. 47(C), pages 33-35.
    9. Claire Goavec & Jean-François Hoarau, 2015. "Structural economic vulnerability and tourism dependence: new assessment for small island developing economies [Vulnérabilité économique structurelle et dépendance touristique : quels enseignements," Post-Print hal-01454720, HAL.
    10. Annalina Sarra & Eugenia Nissi, 2020. "A Spatial Composite Indicator for Human and Ecosystem Well-Being in the Italian Urban Areas," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(2), pages 353-377, April.
    11. Zhang, Hai-Ying & Ji, Qiang & Fan, Ying, 2013. "An evaluation framework for oil import security based on the supply chain with a case study focused on China," Energy Economics, Elsevier, vol. 38(C), pages 87-95.
    12. Franciely Velozo Aragão & Daiane Maria de Genaro Chiroli & Fernanda Cavicchioli Zola & Emanuely Velozo Aragão & Luis Henrique Nogueira Marinho & Ana Lidia Cascales Correa & João Carlos Colmenero, 2023. "Smart Cities Maturity Model—A Multicriteria Approach," Sustainability, MDPI, vol. 15(8), pages 1-20, April.
    13. Yongjun Shen & Elke Hermans & Tom Brijs & Geert Wets, 2013. "Data Envelopment Analysis for Composite Indicators: A Multiple Layer Model," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 114(2), pages 739-756, November.
    14. Blancard, Stéphane & Hoarau, Jean-François, 2013. "A new sustainable human development indicator for small island developing states: A reappraisal from data envelopment analysis," Economic Modelling, Elsevier, vol. 30(C), pages 623-635.
    15. Carrillo, Marianela & Jorge, Jesús M., 2017. "Multidimensional Analysis of Regional Tourism Sustainability in Spain," Ecological Economics, Elsevier, vol. 140(C), pages 89-98.
    16. Barbosa, Ailson de Souza & Shayani, Rafael Amaral & Oliveira, Marco Aurélio Gonçalves de, 2018. "A multi-criteria decision analysis method for regulatory evaluation of electricity distribution service quality," Utilities Policy, Elsevier, vol. 53(C), pages 38-48.
    17. Martins, H. & Henriques, C.O. & Figueira, J.R. & Silva, C.S. & Costa, A.S., 2023. "Assessing policy interventions to stimulate the transition of electric vehicle technology in the European Union," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    18. Vilarinho, Hermilio & D’Inverno, Giovanna & Nóvoa, Henriqueta & Camanho, Ana S., 2023. "The measurement of asset management performance of water companies," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    19. Chao Shi & Kenneth C. Land, 2021. "The Data Envelopment Analysis and Equal Weights/Minimax Methods of Composite Social Indicator Construction: a Methodological Study of Data Sensitivity and Robustness," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 16(4), pages 1689-1716, August.
    20. José Antonio, Palomero-González & Vicent, Almenar-Llongo & Ramón, Fuentes-Pascual, 2022. "A composite indicator index as a proxy for measuring the quality of water supply as perceived by users for urban water services," Technological Forecasting and Social Change, Elsevier, vol. 174(C).

    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:gam:jeners:v:12:y:2019:i:13:p:2638-:d:246983. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.