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Operational drivers of water reuse efficiency in Portuguese wastewater service providers

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  • Amaral, António L.
  • Martins, Rita
  • Dias, Luís C.

Abstract

Identifying the service providers that perform best in key operational indicators is important for increasing the sustainability of the wastewater treatment sector. Wastewater reuse is increasingly considered as a relevant aspect in this context. The current study first identifies the Portuguese service providers in the efficiency frontier regarding wastewater reuse and proceeds to identify its main operational drivers. Reused wastewater was then successfully estimated using the selected drivers. The main policy recommendations, resulting from this study, towards wastewater reuse upsurge include fostering the aggregation of smaller SP to benefit from economies of scale, and strive for adequate infrastructure maintenance practices.

Suggested Citation

  • Amaral, António L. & Martins, Rita & Dias, Luís C., 2023. "Operational drivers of water reuse efficiency in Portuguese wastewater service providers," Utilities Policy, Elsevier, vol. 83(C).
    • Handle: RePEc:eee:juipol:v:83:y:2023:i:c:s0957178723001030
    DOI: 10.1016/j.jup.2023.101591
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    1. Cornelis Leeuwen & Jos Frijns & Annemarie Wezel & Frans Ven, 2012. "City Blueprints: 24 Indicators to Assess the Sustainability of the Urban Water Cycle," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(8), pages 2177-2197, June.
    2. 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.
    3. Ferro, Gustavo & Mercadier, Augusto C., 2016. "Technical efficiency in Chile's water and sanitation providers," Utilities Policy, Elsevier, vol. 43(PA), pages 97-106.
    4. José Antonio Palomero-González & Vicent Almenar-Llongo & Ramón Fuentes-Pascual, 2021. "Evaluating the Efficiency of Water Distribution Network Sectors Using the DEA-Weight Russell Directional Distance Model: The Case of the City of Valencia (Spain)," Sustainability, MDPI, vol. 13(19), pages 1-21, September.
    5. Henriques, Alda A. & Camanho, Ana S. & Amorim, Pedro & Silva, Jaime G., 2020. "Performance benchmarking using composite indicators to support regulation of the Portuguese wastewater sector," Utilities Policy, Elsevier, vol. 66(C).
    6. Mocholi-Arce, Manuel & Sala-Garrido, Ramon & Molinos-Senante, Maria & Maziotis, Alexandros, 2022. "Performance assessment of the Chilean water sector: A network data envelopment analysis approach," Utilities Policy, Elsevier, vol. 75(C).
    7. Rita Martins & Fernando Coelho & Adelino Fortunato, 2012. "Water losses and hydrographical regions influence on the cost structure of the Portuguese water industry," Journal of Productivity Analysis, Springer, vol. 38(1), pages 81-94, August.
    8. Pedro Carvalho & Rui Cunha Marques, 2015. "Estimating Size and Scope Economies in the Portuguese Water Sector Using the Most Appropriate Functional Form," The Engineering Economist, Taylor & Francis Journals, vol. 60(2), pages 109-137, April.
    9. Carvalho, Pedro & Marques, Rui Cunha, 2014. "Computing economies of vertical integration, economies of scope and economies of scale using partial frontier nonparametric methods," European Journal of Operational Research, Elsevier, vol. 234(1), pages 292-307.
    10. Fare, Rolf & Knox Lovell, C. A., 1978. "Measuring the technical efficiency of production," Journal of Economic Theory, Elsevier, vol. 19(1), pages 150-162, October.
    11. Cooper, Bethany & Crase, Lin, 2016. "Governing water service provision: Lessons from Australia," Utilities Policy, Elsevier, vol. 43(PA), pages 42-47.
    12. 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).
    13. Molinos-Senante, María & Donoso, Guillermo, 2016. "Water scarcity and affordability in urban water pricing: A case study of Chile," Utilities Policy, Elsevier, vol. 43(PA), pages 107-116.
    14. Ramón Sala-Garrido & Manuel Mocholí-Arce & María Molinos-Senante & Alexandros Maziotis, 2021. "Comparing Operational, Environmental and Eco-Efficiency of Water Companies in England and Wales," Energies, MDPI, vol. 14(12), pages 1-14, June.
    15. 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.
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    1. Xiaoman Mu & Suao Lu & Qinyi Li, 2023. "How to Promote the Development of Industrial Wastewater Treatment Technological Innovation in China: A Tripartite Evolutionary Game Analysis," Sustainability, MDPI, vol. 15(21), pages 1-24, October.

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