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Local government size and service level provision. Evidence from conditional non-parametric analysis

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  • Giovanna D'Inverno
  • Wim Moesen
  • Kristof De Witte

Abstract

Although the local provision of public goods accommodates better to the heterogeneous local preferences and mitigates the fiscal illusion problem, it comes at the cost of potential diseconomies of scale. This paper examines the relationship between municipal size and local service level provision by applying state-of-the-art non-parametric techniques to a unique panel dataset of Flemish data. We measure the service provision level by using an innovative robust conditional ‘Benefit of the Doubt’ model and we estimate its efficiency in relationship with the local expenditures by means of a robust conditional Data Envelopment Analysis model. Overall, the main findings suggest the presence of diseconomies of scale, and provide weak evidence on an optimal size of local public good provision of around 10,000 citizens.

Suggested Citation

  • Giovanna D'Inverno & Wim Moesen & Kristof De Witte, 2020. "Local government size and service level provision. Evidence from conditional non-parametric analysis," Working Papers of LEER - Leuven Economics of Education Research 657314, KU Leuven, Faculty of Economics and Business (FEB), LEER - Leuven Economics of Education Research.
    • Handle: RePEc:ete:leerwp:657314
    Note: paper number DPS 20.12
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    1. De Borger, B & Kerstens, K. & Moesen, W. & Vanneste, J., 1994. "Explaining Differences in Productive Efficiency: An Application to Belgian Municipalities," Public Choice, Springer, vol. 80(3-4), pages 339-358, September.
    2. Simar, Léopold & Vanhems, Anne, 2012. "Probabilistic characterization of directional distances and their robust versions," Journal of Econometrics, Elsevier, vol. 166(2), pages 342-354.
    3. Núria Bosch & Marta Espasa & Toni Mora, 2012. "Citizen Control and the Efficiency of Local Public Services," Environment and Planning C, , vol. 30(2), pages 248-266, April.
    4. Cinzia Daraio & Léopold Simar & Paul W. Wilson, 2020. "Fast and efficient computation of directional distance estimators," Annals of Operations Research, Springer, vol. 288(2), pages 805-835, May.
    5. Zanella, Andreia & Camanho, Ana S. & Dias, Teresa G., 2015. "Undesirable outputs and weighting schemes in composite indicators based on data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 245(2), pages 517-530.
    6. Lars-Erik Borge & Torberg Falch & Per Tovmo, 2008. "Public sector efficiency: the roles of political and budgetary institutions, fiscal capacity, and democratic participation," Public Choice, Springer, vol. 136(3), pages 475-495, September.
    7. Kristof De Witte & Mika Kortelainen, 2013. "What explains the performance of students in a heterogeneous environment? Conditional efficiency estimation with continuous and discrete environmental variables," Applied Economics, Taylor & Francis Journals, vol. 45(17), pages 2401-2412, June.
    8. Fox, William F. & Gurley, Tami, 2006. "Will consolidation improve sub-national governments ?," Policy Research Working Paper Series 3913, The World Bank.
    9. Reingewertz, Yaniv, 2012. "Do municipal amalgamations work? Evidence from municipalities in Israel," Journal of Urban Economics, Elsevier, vol. 72(2), pages 240-251.
    10. 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.
    11. Fusco, Elisa & Vidoli, Francesco & Rogge, Nicky, 2020. "Spatial directional robust Benefit of the Doubt approach in presence of undesirable output: An application to Italian waste sector," Omega, Elsevier, vol. 94(C).
    12. Tommaso Agasisti & Francesco Porcelli, 2019. "Local governments’ efficiency and its heterogeneity – empirical evidence from a Stochastic Frontier Analysis of Italian municipalities 2010-2015," Working papers 81, Società Italiana di Economia Pubblica.
    13. De Witte, Kristof & Geys, Benny & Schönhage, Nanna Lauritz, 2018. "Strategic public policy around population thresholds," Journal of Urban Economics, Elsevier, vol. 106(C), pages 46-58.
    14. Cinzia Daraio & Léopold Simar, 2005. "Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach," Journal of Productivity Analysis, Springer, vol. 24(1), pages 93-121, September.
    15. 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.
    16. Pawel Swianiewicz, 2018. "If territorial fragmentation is a problem, is amalgamation a solution? – Ten years later," Local Government Studies, Taylor & Francis Journals, vol. 44(1), pages 1-10, January.
    17. MOESEN, Willem A. & VANNESTE, Jacques, 1983. "Public choice, local budgets and municipalities as open or closed economies," SESO Working Papers 1983007, University of Antwerp, Faculty of Business and Economics.
    18. D’Inverno, Giovanna & De Witte, Kristof, 2020. "Service level provision in municipalities: A flexible directional distance composite indicator," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1129-1141.
    19. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    20. Cinzia Daraio & Léopold Simar, 2007. "Conditional nonparametric frontier models for convex and nonconvex technologies: a unifying approach," Journal of Productivity Analysis, Springer, vol. 28(1), pages 13-32, October.
    21. António Afonso & Ludger Schuknecht & Vito Tanzi, 2005. "Public sector efficiency: An international comparison," Public Choice, Springer, vol. 123(3), pages 321-347, June.
    22. Laurens Cherchye & Kristof De Witte & Sergio Perelman, 2019. "A unified productivity-performance approach applied to secondary schools," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(9), pages 1522-1537, September.
    23. 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.
    24. repec:ant:wpaper:1983007 is not listed on IDEAS
    25. Afonso, António & Fernandes, Sónia, 2008. "Assessing and explaining the relative efficiency of local government," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(5), pages 1946-1979, October.
    26. VANDEN EECKAUT, Philippe & TULKENS, Henry & JAMAR, Marie-Astrid, 1993. "Cost efficiency in Belgian municipalities," LIDAM Reprints CORE 1033, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    27. Rogge, Nicky & De Jaeger, Simon & Lavigne, Carolien, 2017. "Waste Performance of NUTS 2-regions in the EU: A Conditional Directional Distance Benefit-of-the-Doubt Model," Ecological Economics, Elsevier, vol. 139(C), pages 19-32.
    28. Robert Breunig & Yvon Rocaboy, 2008. "Per-capita public expenditures and population size: a non-parametric analysis using French data," Public Choice, Springer, vol. 136(3), pages 429-445, September.
    29. 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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    More about this item

    Keywords

    Efficiency analysis; Municipal mergers; Municipal expenditure; Local governments; Composite indicator;
    All these keywords.

    JEL classification:

    • H50 - Public Economics - - National Government Expenditures and Related Policies - - - General
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation

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