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Public Sector Contribution To Competitiveness

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  • Vincenzo Patrizii
  • Giuliano Resce

Abstract

Conventional measures of competitiveness in terms of final prices shed little light on how those measures are affected by public expenditure. By taking productivity as a common factor to any index of competitiveness we propose to assess the Italian Public Sector contribution by its productivity in providing public services. Integration of Data Envelopment Analysis with Principal Component Analysis provides a consistent methodology to face the problem of high dimensions, which is a characterising feature of public services provision. Results show a large geographical variability in Public Sector productivity and a significant differentiation in terms of both layers of government and types of services. Thus offering evidence to identify areas, services and tiers of government lacking efficiency and constituting a potential obstacle for growth. A East–West divide emerges on top of the Country’s traditional, though less marked than commonly thought, North–South divide. Copyright Società Italiana degli Economisti (Italian Economic Association) 2015

Suggested Citation

  • Vincenzo Patrizii & Giuliano Resce, 2015. "Public Sector Contribution To Competitiveness," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 1(3), pages 401-443, November.
    • Handle: RePEc:spr:italej:v:1:y:2015:i:3:p:401-443
    DOI: 10.1007/s40797-015-0017-4
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    1. Carvalho, Luciano Castro de & Di Serio, Luiz Carlos & Vasconcellos, Marcos Augusto de, 2012. "Competitividade das nações: análise da métrica utilizada pelo World Economic Forum," RAE - Revista de Administração de Empresas, FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil), vol. 52(4), July.
    2. Adler, Nicole & Golany, Boaz, 2001. "Evaluation of deregulated airline networks using data envelopment analysis combined with principal component analysis with an application to Western Europe," European Journal of Operational Research, Elsevier, vol. 132(2), pages 260-273, July.
    3. Rajiv D. Banker & Robert F. Conrad & Robert P. Strauss, 1986. "A Comparative Application of Data Envelopment Analysis and Translog Methods: An Illustrative Study of Hospital Production," Management Science, INFORMS, vol. 32(1), pages 30-44, January.
    4. Francesco Aiello & Vincenzo Scoppa, 2000. "Uneven Regional Development in Italy: Explaining Differences in Productivity Levels," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 59(2), pages 270-298, September.
    5. Adler, Nicole & Yazhemsky, Ekaterina, 2010. "Improving discrimination in data envelopment analysis: PCA-DEA or variable reduction," European Journal of Operational Research, Elsevier, vol. 202(1), pages 273-284, April.
    6. 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.
    7. Guglielmo Barone & Sauro Mocetti, 2011. "Tax morale and public spending inefficiency," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 18(6), pages 724-749, December.
    8. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    9. Raffaela Giordano & Pietro Tommasino, 2013. "Public-Sector Efficiency and Political Culture," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 69(3), pages 289-316, September.
    10. Maura Francese & Marzia Romanelli, 2011. "Healthcare in Italy: expenditure determinants and regional differentials," Temi di discussione (Economic working papers) 828, Bank of Italy, Economic Research and International Relations Area.
    11. Wilson, Paul W, 1993. "Detecting Outliers in Deterministic Nonparametric Frontier Models with Multiple Outputs," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(3), pages 319-323, July.
    12. Salvatore D'Acunto & Sergio Destefanis & Marco Musella, 2004. "Exports, Supply Constraints and Growth: An Investigation using Regional Data," International Review of Applied Economics, Taylor & Francis Journals, vol. 18(2), pages 167-189.
    13. W. W. Cooper & Subhash C. Ray, 2008. "A response to M. Stone: ‘How not to measure the efficiency of public services (and how one might)’," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(2), pages 433-448, April.
    14. Bronzini, Raffaello & Piselli, Paolo, 2009. "Determinants of long-run regional productivity with geographical spillovers: The role of R&D, human capital and public infrastructure," Regional Science and Urban Economics, Elsevier, vol. 39(2), pages 187-199, March.
    15. Newhouse, Joseph P., 1994. "Frontier estimation: How useful a tool for health economics?," Journal of Health Economics, Elsevier, vol. 13(3), pages 317-322, October.
    16. World Economic Forum, 2008. "Managing our future water needs for agriculture, industry, human health and the environment: discussion document for the World Economic Forum Annual Meeting 2008. [IWMI is a partner]," IWMI Working Papers H041474, International Water Management Institute.
    17. Indranil Bardhan & William Cooper & Subal Kumbhakar, 1998. "A Simulation Study of Joint Uses of Data Envelopment Analysis and Statistical Regressions for Production Function Estimation and Efficiency Evaluation," Journal of Productivity Analysis, Springer, vol. 9(3), pages 249-278, March.
    18. Diewert, W. Erwin & Nakamura, Alice O., 2007. "The Measurement of Productivity for Nations," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 66, Elsevier.
    19. 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.
    20. Bauer, Paul W., 1990. "Recent developments in the econometric estimation of frontiers," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 39-56.
    21. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, September.
    22. Rajiv D. Banker, 1993. "Maximum Likelihood, Consistency and Data Envelopment Analysis: A Statistical Foundation," Management Science, INFORMS, vol. 39(10), pages 1265-1273, October.
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    Cited by:

    1. Bucciol, Alessandro & Burro, Giovanni, 2022. "Is there a happiness premium for working in the public sector? Evidence from Italy," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 97(C).
    2. bucci, valeria & ferrara, giancarlo & resce, giuliano, 2022. "Fiscal decentralization and efficiency: empirical evidence from Italian municipalities," MPRA Paper 111515, University Library of Munich, Germany.
    3. De Matteis, Domenico & Ishizaka, Alessio & Resce, Giuliano, 2019. "The ‘postcode lottery’ of the Italian public health bill analysed with the hierarchy Stochastic Multiobjective Acceptability Analysis," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    4. Raffaele Lagravinese & Paolo Liberati & Giuliano Resce, 2017. "Exploring health outcomes by stochastic multi-objective acceptability analysis: an application to Italian regions," Working Papers. Collection B: Regional and sectoral economics 1703, Universidade de Vigo, GEN - Governance and Economics research Network.
    5. Atella, Vincenzo & Braione, Manuela & Ferrara, Giancarlo & Resce, Giuliano, 2023. "Cohesion Policy Funds and local government autonomy: Evidence from Italian municipalities," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    6. Lagravinese, Raffaele & Liberati, Paolo & Resce, Giuliano, 2019. "Exploring health outcomes by stochastic multicriteria acceptability analysis: An application to Italian regions," European Journal of Operational Research, Elsevier, vol. 274(3), pages 1168-1179.

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    More about this item

    Keywords

    Public sector productivity; Data envelopment analysis ; Principal component analysis; C61; D24; H11; H72; H75;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • H11 - Public Economics - - Structure and Scope of Government - - - Structure and Scope of Government
    • H72 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Budget and Expenditures
    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare

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