Technical Notes
Feb 13, 2019

Empirical Evidence for Efficiency in Provision of Drinking Water

Publication: Journal of Water Resources Planning and Management
Volume 145, Issue 4

Abstract

The purpose of this paper is twofold. First, it assesses the efficiency of the drinking water supply in the Spanish municipalities of over 5,000 inhabitants. Second, it examines the hypothesis that this efficiency is conditioned by a group of environmental variables. Unlike monitoring reports based on descriptive methods, this paper uses the double data envelopment analysis bootstrap procedure to ascertain efficiency determinants. The results show that municipalities could improve their efficiency by modifying the scale at which they are operating. Regarding the determinants of efficiency, population density has been found to have a positive effect on the level of efficiency in the public service covered by this study. Moreover, it is shown that most tourist municipalities are more efficient at managing water supply service. These findings also suggest that there is greater efficiency when the provision of drinking water is managed directly by the local government. Finally, no significant impact of citizens’ level of income, political ideology, and strength on drinking water supply efficiency is found.

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References

AECA (Asociación Española de Contabilidad y Administración de Empresas). 2004. Un Sistema de Indicadores de Gestión para los Ayuntamientos. Madrid, Spain: AECA.
Alesina, A., and H. Rosenthal. 1994. Partisan politics, divided governments, and the economy. New York: Cambridge University Press.
Alexander, W. R. J., A. A. Haug, and M. Jaforullah. 2010. “A two-stage double-bootstrap data envelopment analysis of efficiency differences of New Zealand secondary schools.” J. Productivity Anal. 34 (2): 99–110. https://doi.org/10.1007/s11123-010-0173-3.
Alt, J. E., and R. C. Lowry. 1994. “Divided government, fiscal institutions, and budget deficits: Evidence from the states.” Am. Political Sci. Rev. 88 (4): 811–828. https://doi.org/10.2307/2082709.
Ananda, J. 2014. “Evaluating the performance of urban water utilities: Robust nonparametric approach.” J. Water Resour. Plann. Manage. 140 (9): 04014021. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000387.
Banker, R. D. 1993. “Maximum likelihood, consistency and data envelopment analysis: A statistical foundation.” Manage. Sci. 39 (10): 1265–1273. https://doi.org/10.1287/mnsc.39.10.1265.
Banker, R. D., A. Charnes, and W. W. Cooper. 1984. “Some models for estimating technical and scale inefficiencies in data envelopment analysis.” Manage. Sci. 30 (9): 1078–1092. https://doi.org/10.1287/mnsc.30.9.1078.
Barbosa, A., S. C. D. Lima, and I. Brusca. 2016. “Governance and efficiency in the Brazilian water utilities: A dynamic analysis in the process of universal access.” Util. Policy 43 (Part A): 82–96. https://doi.org/10.1016/j.jup.2016.06.013.
Benito, B., and F. Bastida. 2004. “The determinants of the municipal debt policy in Spain.” J. Public Budgeting Accounting Financial Manage. 16 (4): 492–525. https://doi.org/10.1108/JPBAFM-16-04-2004-B002.
Benito, B., M. D. Guillamón, and F. Bastida. 2015. “Public versus private in municipal services management.” Lex Localis: J. Local Self-Government 13 (4): 995–1018. https://doi.org/10.4335/13.3.995-1018(2015).
Berg, S. V., and R. C. Marques. 2011. “Quantitative studies of water and sanitation utilities: A benchmarking literature survey.” Water Policy 13 (5): 591–606. https://doi.org/10.2166/wp.2011.041.
Bogetoft, P., and L. Otto. 2011. Benchmarking with DEA, SFA, and R: International series in operations research and management science. New York: Springer Science+Business Media B.V.
Borge, L. E., T. Falch, and P. Tovmo. 2008. “Public sector efficiency: The roles of political and budgetary institutions, fiscal capacity, and democratic participation.” Public Choice 136 (3): 475–495. https://doi.org/10.1007/s11127-008-9309-7.
Byrnes, J., L. Crase, B. Dollery, and R. Villano. 2010. “The relative economic efficiency of urban water utilities in regional New South Wales and Victoria.” Resour. Energy Econ. 32 (3): 439–455. https://doi.org/10.1016/j.reseneeco.2009.08.001.
Charnes, A., W. W. Cooper, and E. Rhodes. 1978. “Measuring the efficiency of decision making units.” Eur. J. Oper. Res. 2 (6): 429–444. https://doi.org/10.1016/0377-2217(78)90138-8.
Cook, W. D., L. M. Seiford, and J. Zhu. 2013. “Data envelopment analysis: The research frontier.” Omega 41 (1): 1–2. https://doi.org/10.1016/j.omega.2012.01.011.
Cordero, J. M., F. Pedraja-Chaparro, E. C. Pisaflores, and C. Polo. 2017. “Efficiency assessment of Portuguese municipalities using a conditional nonparametric approach.” J. Productivity Anal. 48 (1): 1–24. https://doi.org/10.1007/s11123-017-0500-z.
Cusack, T. R. 1997. “Partisan politics and public finance: Changes in public spending in the industrialized democracies, 1955–1989.” Public Choice 91 (3–4): 375–395. https://doi.org/10.1023/A:1004995814758.
Da Cruz, N. F., and R. C. Marques. 2014. “Revisiting the determinants of local government performance.” Omega 44 (Apr): 91–103. https://doi.org/10.1016/j.omega.2013.09.002.
De Borger, B., K. Kerstens, W. Moesen, and J. Vanneste. 1994. “Explaining differences in productive efficiency: An application to Belgian municipalities.” Public Choice 80 (3): 339–358. https://doi.org/10.1007/BF01053225.
Deng, G., L. Li, and Y. Song. 2016. “Provincial water use efficiency measurement and factor analysis in China: Based on SBM-DEA model.” Ecol. Indic. 69 (Oct): 12–18. https://doi.org/10.1016/j.ecolind.2016.03.052.
Emrouznejad, A., and G. L. Yang. 2018. “A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016” Socio-Econ. Plann. Sci. 61 (1): 4–8. https://doi.org/10.1016/j.seps.2017.01.008.
Farrell, M. J. 1957. “The measurement of productive efficiency.” J. R. Stat. Soc. 120 (3): 253–290. https://doi.org/10.2307/2343100.
Førsund, F. R. 2018. “Economic interpretations of DEA.” Socio-Econ. Plann. Sci. 61 (1): 9–15. https://doi.org/10.1016/j.seps.2017.03.004.
García-Sánchez, I. M. 2006. “Efficiency measurement in Spanish local government: The case of municipal water services.” Rev. Policy Res. 23 (2): 355–371. https://doi.org/10.1111/j.1541-1338.2006.00205.x.
García-Valiñas, M. A., and M. A. Muñiz. 2007. “Is DEA useful in the regulation of water utilities? A dynamic efficiency evaluation (a dynamic efficiency evaluation of water utilities).” Appl. Econ. 39 (2): 245–252. https://doi.org/10.1080/00036840500428054.
Gijbels, I., E. Mammen, B. U. Parkand, and L. Simar. 1999. “On estimation of monotone and concave frontier functions.” J. Am. Stat. Assoc. 94 (445): 220–228. https://doi.org/10.1080/01621459.1999.10473837.
Güngör-Demirci, G., J. Lee, and J. Keck. 2017. “Measuring water utility performance using nonparametric linear programming.” Civ. Eng. Environ. Syst. 34 (3–4): 206–220. https://doi.org/10.1080/10286608.2018.1425403.
Güngör-Demirci, G., J. Lee, and J. Keck. 2018. “Assessing the performance of a California water utility using two-stage data envelopment analysis.” J. Water Resour. Plann. Manage. 144 (4): 05018004. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000921.
Hagen, T. P., and S. I. Vabo. 2005. “Political characteristics, institutional procedures and fiscal performance: Panel data analyses of Norwegian local governments, 1991–1998.” Eur. J. Political Res. 44 (1): 43–64. https://doi.org/10.1111/j.1475-6765.2005.00218.x.
Jones, B. D., J. L. True, and F. R. Baumgartner. 1997. “Does incrementalism stem from political consensus or from institutional gridlock?” Am. J. Political Sci. 41 (4): 1319–1339. https://doi.org/10.2307/2960491.
Kennedy, P. 2008. A guide to econometrics. 6th ed. New York: Wiley.
Kneip, A., B. U. Park, and L. Simar. 1998. “A note on the convergence of nonparametric DEA estimators for production efficiency scores.” Econom. Theory 14 (6): 783–793. https://doi.org/10.1017/S0266466698146042.
Kneip, A., and L. Simar. 1996. “A general framework for frontier estimation with panel data.” J. Productivity Anal. 7 (2): 187–212. https://doi.org/10.1007/BF00157041.
Korostelev, A., L. Simar, and A. B. Tsybakov. 1995. “Efficient estimation of monotone boundaries.” Ann. Stat. 23 (2): 476–489. https://doi.org/10.1214/aos/1176324531.
La Caixa. 2014. Economic yearbook of Spain 2014. Barcelona, Spain: Área de Estudios y Análisis Económico de “la Caixa”.
Lago-Peñas, I., and S. Lago-Peñas. 2009. “Does the nationalization of party systems affect the composition of public spending?” Econ. Governance 10 (1): 85–98. https://doi.org/10.1007/s10101-008-0051-x.
Latruffe, L., J. Fogarasi, and Y. Desjeux. 2012. “Efficiency, productivity and technology comparison for farms in Central and Western Europe: The case of field crop and dairy farming in Hungary and France.” Econ. Syst. 36 (2): 264–278. https://doi.org/10.1016/j.ecosys.2011.07.002.
Lawrence R. Klein Economic Institute. 2018. Household income estimation for Spanish municipalities, year 2014. Madrid, Spain: Autonomous Univ. of Madrid.
Le Lannier, A., and S. Porcher. 2014. “Efficiency in the public and private French water utilities: Prospects for benchmarking.” Appl. Econ. 46 (5): 556–572. https://doi.org/10.1080/00036846.2013.857002.
Lu, B., and S. Wang. 2017. Container port production and management. Singapore: Springer.
Ma, H., C. Shi, and N. T. Chou. 2016. “China’s water utilization efficiency: An analysis with environmental considerations.” Sustainability (Switzerland) 8 (6): 516. https://doi.org/10.3390/su8060516.
Marques, R. C. 2008. “Comparing private and public performance of Portuguese water services.” Water Policy 10 (1): 25–42. https://doi.org/10.2166/wp.2007.033.
Marques, R. C., S. Berg, and S. Yane. 2014. “Nonparametric benchmarking of Japanese water utilities: Institutional and environmental factors affecting efficiency.” J. Water Resour. Plann. Manage. 140 (5): 562–571. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000366.
McDonald, J. 2009. “Using least squares and Tobit in second stage DEA efficiency analyses.” Eur. J. Oper. Res. 197 (2): 792–798. https://doi.org/10.1016/j.ejor.2008.07.039.
Narbón-Perpiñá, I., and K. De Witte. 2018a. “Local governments’ efficiency: A systematic literature review: Part I.” Int. Tran. Oper. Res. 25 (2): 431–468. https://doi.org/10.1111/itor.12364.
Narbón-Perpiñá, I., and K. De Witte. 2018b. “Local governments’ efficiency: A systematic literature review: Part II.” Int. Tran. Oper. Res. 25 (4): 1107–1136. https://doi.org/10.1111/itor.12389.
Pérez-López, G., D. Prior, and J. L. Zafra-Gómez. 2015. “Rethinking new public management delivery forms and efficiency: Long-term effects in Spanish local government.” J. Public Administration Res. Theory 25 (4): 1157–1183. https://doi.org/10.1093/jopart/muu088.
Pérez-López, G., D. Prior, and J. L. Zafra-Gómez. 2018. “Temporal scale efficiency in DEA panel data estimations: An application to the solid waste disposal service in Spain.” Omega 76 (Apr): 18–27. https://doi.org/10.1016/j.omega.2017.03.005.
Pérez-López, G., D. Prior, J. L. Zafra-Gómez, and A. M. Plata-Díaz. 2016. “Cost efficiency in municipal solid waste service delivery. Alternative management forms in relation to local population size.” Eur. J. Oper. Res. 255 (2): 583–592. https://doi.org/10.1016/j.ejor.2016.05.034.
Picazo, A. J., F. J. Sáez-Fernández, and F. González-Gómez. 2008. “Does service quality matter in measuring the performance of water utilities?” Utilities Policy 16 (1): 30–38. https://doi.org/10.1016/j.jup.2007.10.001.
Picazo, A. J., F. J. Sáez-Fernández, and F. González-Gómez. 2009. “The role of environmental factors in water utilities’ technical efficiency. Empirical evidence from Spanish companies.” Appl. Econ. 41 (5): 615–628. https://doi.org/10.1080/00036840601007310.
Picazo, A. J., F. J. Sáez-Fernández, and F. González-Gómez. 2011. “Assessing performance in the management of the urban water cycle.” Water Policy 13 (6): 782–796. https://doi.org/10.2166/wp.2011.068.
Ray, S. 2004. Data envelopment analysis: Theory and techniques for economics and operations research. Cambridge, MA: Cambridge University Press.
Roubini, N. l., and J. D. Sachs. 1989a. “Government spending and budget deficits in the industrial countries.” Econ. Policy: Eur. Forum 4 (8): 99–132. https://doi.org/10.2307/1344465.
Roubini, N. l., and J. D. Sachs. 1989b. “Political and economic determinants of budget deficits in the industrial democracies.” Eur. Econ. Rev. 33 (5): 903–933. https://doi.org/10.1016/0014-2921(89)90002-0.
See, K. F. 2015. “Exploring and analysing sources of technical efficiency in water supply services: Some evidence from Southeast Asian public water utilities.” Water Resour. Econ. 9 (Jan): 23–44. https://doi.org/10.1016/j.wre.2014.11.002.
Sengupta, J. K. 1982. “Efficiency measurement in stochastic input-output systems.” Int. J. Syst. Sci. 13 (3): 273–287. https://doi.org/10.1080/00207728208926348.
Shephard, R. W. 1970. The theory of cost and production functions. Princeton, NJ: Princeton University Press.
Simar, L. 1992. Estimating efficiencies from frontier models with panel data: A comparison of parametric, non-parametric and semi-parametric methods with bootstrapping. Dordrecht, Netherlands: Springer.
Simar, L., and P. W. Wilson. 1998a. Nonparametric tests of returns to scale. Louvain-la-Neuve, Belgium: Institut de Statistique and CORE, Université Catholique de Louvain.
Simar, L., and P. W. Wilson. 1998b. “Sensitivity analysis of efficiency scores: How to bootstrap in nonparametric frontier models.” Manage. Sci. 44 (1): 49–61. https://doi.org/10.1287/mnsc.44.1.49.
Simar, L., and P. W. Wilson. 2000a. “A general methodology for bootstrap-ping in non-parametric frontier models.” J. Appl. Stat. 27 (6): 779–802. https://doi.org/10.1080/02664760050081951.
Simar, L., and P. W. Wilson. 2000b. “Statistical inference in nonparametric frontier models: The state of the art.” J. Productivity Anal. 13 (1): 49–78. https://doi.org/10.1023/A:1007864806704.
Simar, L., and P. W. Wilson. 2001. “Testing restrictions in nonparametric efficiency models.” Commun. Stat. Part B: Simul. Comput. 30 (1): 159–184. https://doi.org/10.1081/SAC-100001865.
Simar, L., and P. W. Wilson. 2007. “Estimation and inference in two-stage, semi-parametric models of production processes.” J. Econ. 136 (1): 31–64. https://doi.org/10.1016/j.jeconom.2005.07.009.
Simar, L., and P. W. Wilson. 2011. “Two-stage DEA: Caveat emptor.” J. Productivity Anal. 36 (2): 205–218. https://doi.org/10.1007/s11123-011-0230-6.
Solana, J., M. Caravaca-Garratón, and L. Para-González. 2016. “Two-stage data envelopment analysis of Spanish regions: Efficiency determinants and stability analysis.” Contemp. Econ. 10 (3): 259–274. https://doi.org/10.5709/ce.1897-9254.214.
Spanish Ministry for Finances and Public Administrations. 2016. “Datos del registro de Entidades Locales.” Accessed January 2, 2019. http://www.seat.mpr.gob.es/portal/areas/politica_local/sistema_de_informacion_local_-SIL-/registro_eell.html.
Spanish Ministry for Home Affairs. 2014. “Consulta de resultados electorales.” Accessed January 2, 2019. www.infoelectoral.mir.es/min/.
Spanish Ministry of Finance. 2018. “Coste efectivo de los servicios prestados por las Entidades Locales.” Accessed January 2, 2019. http://www.hacienda.gob.es/en-gb/CDI/Paginas/InformacionPresupuestaria/InformacionPresupuestaria.aspx?report=249#tabla116.
Spanish National Statistics Institute. 2018. “Padrón: Población por municipios.” Accessed January 2, 2019. http://www.ine.es/dyngs/INEbase/en/categoria.htm?c=Estadistica_P&cid=1254734710990.
Storto, C. L. 2013. “Are public-private partnerships a source of greater efficiency in water supply? Results of a non-parametric performance analysis relating to the Italian industry.” Water (Switzerland) 5 (4): 2058–2079. https://doi.org/10.3390/w5042058.
Storto, C. L. 2014. “Benchmarking operational efficiency in the integrated water service provision: Does contract type matter?” Benchmarking 21 (6): 917–943. https://doi.org/10.1108/BIJ-11-2012-0076.
Suárez-Varela, M., M. A. García-Valiñas, F. González-Gómez, and A. J. Picazo-Tadeo. 2017. “Ownership and performance in water services revisited: Does private management really outperform public?” Water Resour. Manage. 31 (8): 2355–2373. https://doi.org/10.1007/s11269-016-1495-3.
Tsou, C. M., and D. H. Huang. 2010. “On some methods for performance ranking and correspondence analysis in the DEA context.” Eur. J. Oper. Res. 203 (3): 771–783. https://doi.org/10.1016/j.ejor.2009.09.010.
Walter, M., A. Cullmann, C. V. Hirschhausen, R. Wand, and M. Zschille. 2009. “Quovadisefficiency analysis of water distribution? A comparative literature review.” Utilities Policy 17 (3–4): 225–232. https://doi.org/10.1016/j.jup.2009.05.002.
Wibowo, A., and H. W. Alfen. 2015. “Benchmarking the efficiencies of Indonesia’s municipal water utilities using stackelberg data envelopment analysis.” Benchmarking 22 (4): 588–609. https://doi.org/10.1108/BIJ-01-2014-0009.
Woodbury, K., and B. Dollery. 2004. “Efficiency measurement in Australian local government: The case of New South Wales municipal water services.” Rev. Policy Res. 21 (5): 615–636. https://doi.org/10.1111/j.1541-1338.2004.00098.x.
Worthington, A. C. 2014. “A review of frontier approaches to efficiency and productivity measurement in urban water utilities.” Urban Water J. 11 (1): 55–73. https://doi.org/10.1080/1573062X.2013.765488.

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Journal of Water Resources Planning and Management
Volume 145Issue 4April 2019

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Received: Jan 7, 2018
Accepted: Sep 24, 2018
Published online: Feb 13, 2019
Published in print: Apr 1, 2019
Discussion open until: Jul 13, 2019

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Full Professor, Dept. of Accounting and Finance, Faculty of Economics and Business, Regional Campus of International Excellence “Campus Mare Nostrum,” Univ. of Murcia, 30100 Espinardo, Murcia, Spain (corresponding author). ORCID: https://orcid.org/0000-0003-2165-994X. Email: [email protected]
Úrsula Faura [email protected]
Associate Professor, Dept. of Quantitative Methods for Economics and Business, Faculty of Economics and Business, Regional Campus of International Excellence “Campus Mare Nostrum,” Univ. of Murcia, 30100 Espinardo, Murcia, Spain. Email: [email protected]
María-Dolores Guillamón [email protected]
Lecturer, Dept. of Accounting, Faculty of Economics and Business, Regional Campus of International Excellence “Campus Mare Nostrum,” Univ. of Murcia, 30100 Espinardo, Murcia, Spain. Email: [email protected]
Ana-María Ríos [email protected]
Lecturer, Dept. of Finance and Public Sector Economics, Faculty of Economics and Business, Regional Campus of International Excellence “Campus Mare Nostrum,” Univ. of Murcia, 30100 Espinardo, Murcia, Spain. Email: [email protected]

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