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Economic Inefficiency Levels of Urban Solid Waste Management Services in Portugal

Author

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  • Diogo Cunha Ferreira

    (CERIS, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisbon, Portugal)

  • Rui Cunha Marques

    (CERIS, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisbon, Portugal)

  • Maria Isabel Pedro

    (CEG-IST, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisbon, Portugal)

  • Carolina Amaral

    (Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisbon, Portugal)

Abstract

Key performance indicators (KPI) are widely used tools to evaluate the economic (in)efficiency of services, including the ones devoted to urban solid waste management. Regulatory exercises are, then, mostly based on the outputs from KPIs, raising some questions about their validity. In theory, other more appropriate tools could be used to estimate those efficiency levels. This study evaluates the economic inefficiency level of urban solid waste management services in Portugal (2010–2017) through the adoption of partial frontier benchmarking models (order- m ) coupled with weight restrictions. That way, the constructed model can evaluate the performance of those services under some regulatory and sustainability requirements. Then, estimated efficiency levels and some common KPIs are compared in order to understand if the latter are sufficient to explain the economic efficiency. The novelty of this research lies in two main aspects: (a) the utilization of a robust order- α model coupled with weight restrictions linked to regulatory and sustainability impositions to estimate efficiency, and (b) the comparison of economic efficiency and some commonly used KPIs, including waste fractions and recycling rate. Results point towards efficiency distributions that follow Weibull functions, with the average close to 50%; thus, nearly half of the resources have been well spent in municipal solid waste management services since 2010 onwards. Nonetheless, in an efficient system, that average would be close to 100%. Additionally, the considered management related KPIs do not exhibit any relationship with economic efficiency, which means that their interpretation and usefulness for regulatory issues are both limited and should be used carefully. In other words, those KPIs are not good performance drivers and carry no capacity to explain economic (in)efficiency in urban solid waste management services.

Suggested Citation

  • Diogo Cunha Ferreira & Rui Cunha Marques & Maria Isabel Pedro & Carolina Amaral, 2020. "Economic Inefficiency Levels of Urban Solid Waste Management Services in Portugal," Sustainability, MDPI, vol. 12(10), pages 1-29, May.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:10:p:4170-:d:360512
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    References listed on IDEAS

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    1. Bădin, Luiza & Daraio, Cinzia & Simar, Léopold, 2012. "How to measure the impact of environmental factors in a nonparametric production model," European Journal of Operational Research, Elsevier, vol. 223(3), pages 818-833.
    2. Daouia, Abdelaati & Simar, Léopold, 2005. "Robust nonparametric estimators of monotone boundaries," Journal of Multivariate Analysis, Elsevier, vol. 96(2), pages 311-331, October.
    3. Aragon, Y. & Daouia, A. & Thomas-Agnan, C., 2005. "Nonparametric Frontier Estimation: A Conditional Quantile-Based Approach," Econometric Theory, Cambridge University Press, vol. 21(2), pages 358-389, April.
    4. Yang, Wen-Chi & Lee, Yuh-Ming & Hu, Jin-Li, 2016. "Urban sustainability assessment of Taiwan based on data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 341-353.
    5. Per Agrell & Jørgen Tind, 2001. "A Dual Approach to Nonconvex Frontier Models," Journal of Productivity Analysis, Springer, vol. 16(2), pages 129-147, September.
    6. Daraio, Cinzia & Simar, Léopold, 2014. "Directional distances and their robust versions: Computational and testing issues," European Journal of Operational Research, Elsevier, vol. 237(1), pages 358-369.
    7. repec:hal:journl:peer-00796744 is not listed on IDEAS
    8. Daouia, Abdelaati & Gijbels, Irène, 2011. "Robustness and inference in nonparametric partial frontier modeling," Journal of Econometrics, Elsevier, vol. 161(2), pages 147-165, April.
    9. Park, B.U. & Simar, L. & Weiner, Ch., 2000. "The Fdh Estimator For Productivity Efficiency Scores," Econometric Theory, Cambridge University Press, vol. 16(6), pages 855-877, December.
    10. Abdelaati Daouia & Irène Gijbels, 2011. "Robustness and inference in nonparametric partial-frontier modeling," Post-Print hal-00796744, HAL.
    11. Daouia, Abdelaati & Simar, Leopold, 2007. "Nonparametric efficiency analysis: A multivariate conditional quantile approach," Journal of Econometrics, Elsevier, vol. 140(2), pages 375-400, October.
    12. Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, vol. 106(1), pages 1-25, January.
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    1. Alena Harbiankova & Sławomir Kalinowski, 2023. "MSW Management to Zero Waste: Challenges and Perspectives in Belarus," Sustainability, MDPI, vol. 15(3), pages 1-22, January.

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