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Cost efficiency of Tunisian water utility districts: Does heterogeneity matter?

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  • Ben Amor, Tawfik
  • Mellah, Thuraya

Abstract

We examine the cost inefficiencies in the Tunisian water industry by controlling the heterogeneity bias. Two different cost-stochastic frontier models are tested to determine how observed and unobserved heterogeneity affect water utility districts' performance rankings and efficiency scores. The correction for heterogeneity significantly affected rankings by efficiency measures, and the two models yielded different results. The true fixed-effects model is more reliable than the pooled stochastic model. Then district's utility set still exhibits latent heterogeneity and significant cost inefficiencies are observed. The model estimates demonstrate the existence of economies of scale and density with respect to the size of the operation. Small district utilities exhibit economies of scale, while large district utilities exhibit diseconomies of scale.

Suggested Citation

  • Ben Amor, Tawfik & Mellah, Thuraya, 2023. "Cost efficiency of Tunisian water utility districts: Does heterogeneity matter?," Utilities Policy, Elsevier, vol. 84(C).
    • Handle: RePEc:eee:juipol:v:84:y:2023:i:c:s0957178723001285
    DOI: 10.1016/j.jup.2023.101616
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    as
    1. Roberto Colombi & Subal Kumbhakar & Gianmaria Martini & Giorgio Vittadini, 2014. "Closed-skew normality in stochastic frontiers with individual effects and long/short-run efficiency," Journal of Productivity Analysis, Springer, vol. 42(2), pages 123-136, October.
    2. Badunenko, Oleg & Fritsch, Michael & Stephan, Andreas, 2008. "Allocative efficiency measurement revisited--Do we really need input prices?," Economic Modelling, Elsevier, vol. 25(5), pages 1093-1109, September.
    3. Giannis Karagiannis & Magnus Kellermann, 2019. "Stochastic frontier models with correlated effects," Journal of Productivity Analysis, Springer, vol. 51(2), pages 175-187, June.
    4. Hadri, Kaddour, 1999. "Estimation of a Doubly Heteroscedastic Stochastic Frontier Cost Function," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(3), pages 359-363, July.
    5. Kristof Witte & David Saal, 2010. "Is a little sunshine all we need? On the impact of sunshine regulation on profits, productivity and prices in the Dutch drinking water sector," Journal of Regulatory Economics, Springer, vol. 37(3), pages 219-242, June.
    6. Kristof De Witte & Rui Marques, 2010. "Designing performance incentives, an international benchmark study in the water sector," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 18(2), pages 189-220, June.
    7. Bryon J. Parman & Allen M. Featherstone, 2019. "A comparison of parametric and nonparametric estimation methods for cost frontiers and economic measures," Journal of Applied Economics, Taylor & Francis Journals, vol. 22(1), pages 60-85, January.
    8. William Greene, 2004. "Distinguishing between heterogeneity and inefficiency: stochastic frontier analysis of the World Health Organization's panel data on national health care systems," Health Economics, John Wiley & Sons, Ltd., vol. 13(10), pages 959-980, October.
    9. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    10. Bottasso, Anna & Conti, Maurizio, 2003. "Cost Inefficiency in the English and Welsh Water Industry: An Heteroskedastic Stochastic Cost Frontier Approach," Economics Discussion Papers 8872, University of Essex, Department of Economics.
    11. Massimo Filippini & Nevenka Hrovatin & Jelena Zorić, 2008. "Cost efficiency of Slovenian water distribution utilities: an application of stochastic frontier methods," Journal of Productivity Analysis, Springer, vol. 29(2), pages 169-182, April.
    12. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    13. Michael Zschille & Matthias Walter, 2012. "The performance of German water utilities: a (semi)-parametric analysis," Applied Economics, Taylor & Francis Journals, vol. 44(29), pages 3749-3764, October.
    14. Tim Coelli & Sanzidur Rahman & Colin Thirtle, 2002. "Technical, Allocative, Cost and Scale Efficiencies in Bangladesh Rice Cultivation: A Non‐parametric Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 53(3), pages 607-626, November.
    15. Nieswand, Maria & Seifert, Stefan, 2018. "Environmental factors in frontier estimation – A Monte Carlo analysis," European Journal of Operational Research, Elsevier, vol. 265(1), pages 133-148.
    16. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    17. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    18. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    19. Anne-Kathrin Faust & Andrea Baranzini, 2014. "The economic performance of Swiss drinking water utilities," Journal of Productivity Analysis, Springer, vol. 41(3), pages 383-397, June.
    20. Mark J. Roberts, 1986. "Economies of Density and Size in the Production and Delivery of Electric Power," Land Economics, University of Wisconsin Press, vol. 62(4), pages 378-387.
    21. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    22. Yu, Chunyan, 1998. "The effects of exogenous variables in efficiency measurement--A monte carlo study," European Journal of Operational Research, Elsevier, vol. 105(3), pages 569-580, March.
    23. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    24. Mellah, Thuraya & Ben Amor, Tawfik, 2016. "Performance of the Tunisian Water Utility: An input-distance function approach," Utilities Policy, Elsevier, vol. 38(C), pages 18-32.
    25. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    26. Mehdi Farsi & Massimo Filippini & Michael Kuenzle, 2005. "Unobserved heterogeneity in stochastic cost frontier models: an application to Swiss nursing homes," Applied Economics, Taylor & Francis Journals, vol. 37(18), pages 2127-2141.
    27. Michelle Phillips, 2013. "Inefficiency in Japanese water utility firms: a stochastic frontier approach," Journal of Regulatory Economics, Springer, vol. 44(2), pages 197-214, October.
    28. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    29. Kumbhakar, Subal C. & Wang, Hung-Jen, 2006. "Pitfalls in the estimation of a cost function that ignores allocative inefficiency: A Monte Carlo analysis," Journal of Econometrics, Elsevier, vol. 134(2), pages 317-340, October.
    30. David S Saal & David Parker, 2000. "The impact of privatization and regulation on the water and sewerage industry in England and Wales: a translog cost function model," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 21(6), pages 253-268.
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    2. Rambonilaza, Tina & Rulleau, Bénédicte & Assouan, Epiphane, 2023. "On sharing the costs of public drinking water infrastructure renewal among users with different preferences," Utilities Policy, Elsevier, vol. 85(C).

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