IDEAS home Printed from https://ideas.repec.org/p/bde/wpaper/1939.html
   My bibliography  Save this paper

Outsourcing and public expenditure: an aggregate perspective with regional data

Author

Listed:
  • Mar Delgado-Téllez

    (Banco de España)

  • Enrique Moral-Benito

    (Banco de España)

  • Javier J. Pérez

    (Banco de España)

Abstract

Outsourcing can be defined as the delivery of public services by the private sector. The sign of the effect of outsourcing on public spending is ambiguous ex-ante. While outsourcing may reduce public spending through higher competition in the private sector, it may also increase public spending due to the presence of transaction costs or the so-called “hold-up” problem among others. Using a panel of Spanish regions over the 2002-2018 period, this paper explores the association between outsourcing and public spending empirically. Spain offers an interesting case study from a broad perspective, as the degree of decentralization of public health and education is almost complete, and the different regions have adopted quite distinct approaches as regards the public-private mix in the provision of these public services. In line with previous cross-country evidence [e.g. Alonso et al. (2017); Potrafke (2018)] our estimates point to a positive relationship between public spending and outsourcing. The result holds when a number of robustness exercises are carried out. By components, we find that outsourcing is associated with higher public consumption and health spending, while there is no statistical association with investment and education expenditure. In any case, it is worth mentioning that the impact of outsourcing on the efficiency of public spending cannot be ascertained with our approach, due to data limitations.

Suggested Citation

  • Mar Delgado-Téllez & Enrique Moral-Benito & Javier J. Pérez, 2019. "Outsourcing and public expenditure: an aggregate perspective with regional data," Working Papers 1939, Banco de España.
  • Handle: RePEc:bde:wpaper:1939
    as

    Download full text from publisher

    File URL: https://www.bde.es/f/webbde/SES/Secciones/Publicaciones/PublicacionesSeriadas/DocumentosTrabajo/19/Fich/dt1939e.pdf
    File Function: First version, November 2019
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Arellano, Manuel, 2016. "Modelling optimal instrumental variables for dynamic panel data models," Research in Economics, Elsevier, vol. 70(2), pages 238-261.
    2. Niklas Potrafke, 2019. "Does Public Sector Outsourcing Decrease Public Employment? Empirical Evidence from OECD Countries," CESifo Economic Studies, CESifo, vol. 65(4), pages 464-484.
    3. Stephen Minicucci & John D. Donahue, 2004. "A simple estimation method for aggregate government outsourcing," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 23(3), pages 489-507.
    4. Alonso, José M. & Clifton, Judith & Díaz-Fuentes, Daniel, 2017. "The impact of government outsourcing on public spending: Evidence from European Union countries," Journal of Policy Modeling, Elsevier, vol. 39(2), pages 333-348.
    5. Oliver Hart, 2003. "Incomplete Contracts and Public Ownership: Remarks, and an Application to Public-Private Partnerships," Economic Journal, Royal Economic Society, vol. 113(486), pages 69-76, March.
    6. Elinder, Mikael & Jordahl, Henrik, 2013. "Political preferences and public sector outsourcing," European Journal of Political Economy, Elsevier, vol. 30(C), pages 43-57.
    7. Williamson, Oliver E, 1999. "Public and Private Bureaucracies: A Transaction Cost Economics Perspective," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 15(1), pages 306-342, April.
    8. Andrei Shleifer & Robert W. Vishny, 1994. "The Politics of Market Socialism," Journal of Economic Perspectives, American Economic Association, vol. 8(2), pages 165-176, Spring.
    9. Jordi Blanes i Vidal & Mirko Draca & Christian Fons-Rosen, 2012. "Revolving Door Lobbyists," American Economic Review, American Economic Association, vol. 102(7), pages 3731-3748, December.
    10. Domberger, Simon & Jensen, Paul, 1997. "Contracting Out by the Public Sector: Theory, Evidence, Prospects," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 13(4), pages 67-78, Winter.
    11. Bowsher, Clive G., 2002. "On testing overidentifying restrictions in dynamic panel data models," Economics Letters, Elsevier, vol. 77(2), pages 211-220, October.
    12. Mar Delgado-Téllez & Víctor D. Lledó & Javier J. Pérez, 2016. "On the determinants of fiscal non-compliance: an empirical analysis of spain’s regions," Working Papers 1632, Banco de España.
    13. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    14. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    15. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    16. Avinash Dixit, 2002. "# Incentives and Organizations in the Public Sector: An Interpretative Review," Journal of Human Resources, University of Wisconsin Press, vol. 37(4), pages 696-727.
    17. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    2. Bertacchini, Enrico & Dalle Nogare, Chiara, 2014. "Public provision vs. outsourcing of cultural services: Evidence from Italian cities," European Journal of Political Economy, Elsevier, vol. 35(C), pages 168-182.
    3. Yongfu Huang, 2011. "Private investment and financial development in a globalized world," Empirical Economics, Springer, vol. 41(1), pages 43-56, August.
    4. Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.
    5. Abdur R Chowdhury, 2004. "Private Savings in Transition Economies: Are there Terms of Trade Shocks?," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 46(4), pages 487-514, December.
    6. Tiago Neves Sequeira & Paulo Maçãs Nunes, 2008. "Does Country Risk Influence International Tourism? A Dynamic Panel Data Analysis," The Economic Record, The Economic Society of Australia, vol. 84(265), pages 223-236, June.
    7. Jan F. Kiviet, 2005. "Judging Contending Estimators by Simulation: Tournaments in Dynamic Panel Data Models," Tinbergen Institute Discussion Papers 05-112/4, Tinbergen Institute.
    8. Jean-Louis ARCAND & Béatrice D'HOMBRES, 2002. "Explaining the Negative Coefficient Associated with Human Capital in Augmented Solow Growth Regressions," Working Papers 200227, CERDI.
    9. González, Rosa Marina & Marrero, Gustavo A., 2012. "Induced road traffic in Spanish regions: A dynamic panel data model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 435-445.
    10. M. E. Bontempi & I. Mammi, 2012. "A strategy to reduce the count of moment conditions in panel data GMM," Working Papers wp843, Dipartimento Scienze Economiche, Universita' di Bologna.
    11. David Roodman, 2006. "How to Do xtabond2," North American Stata Users' Group Meetings 2006 8, Stata Users Group.
    12. Alonso, José M. & Clifton, Judith & Díaz-Fuentes, Daniel, 2017. "The impact of government outsourcing on public spending: Evidence from European Union countries," Journal of Policy Modeling, Elsevier, vol. 39(2), pages 333-348.
    13. Abraham Deka & Behiye Cavusoglu, 2022. "Examining the role of renewable energy on the foreign exchange rate of the OECD economies with dynamic panel GMM and Bayesian VAR model," SN Business & Economics, Springer, vol. 2(9), pages 1-19, September.
    14. Benoît Chèze, Julien Chevallier, Nicolas Berghmans, and Emilie Alberola, 2020. "On the CO2 Emissions Determinants During the EU ETS Phases I and II: A Plant-level Analysis Merging the EUTL and Platts Power Data," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 153-184.
    15. Doug J. Chung & Byungyeon Kim & Byoung G. Park, 2019. "How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove–Arrow Framework," Management Science, INFORMS, vol. 65(11), pages 5197-5218, November.
    16. Hayakawa, Kazuhiko, 2009. "On the effect of mean-nonstationarity in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 153(2), pages 133-135, December.
    17. David Bartolini & Raffaella Santolini, 2009. "Fiscal Rules and the Opportunistic Behaviour of the Incumbent Politician: Evidence from Italian Municipalities," CESifo Working Paper Series 2605, CESifo.
    18. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    19. Dang, Viet Anh & Kim, Minjoo & Shin, Yongcheol, 2015. "In search of robust methods for dynamic panel data models in empirical corporate finance," Journal of Banking & Finance, Elsevier, vol. 53(C), pages 84-98.
    20. David Bartolini & Raffaella Santolini, 2012. "Political yardstick competition among Italian municipalities on spending decisions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 49(1), pages 213-235, August.

    More about this item

    Keywords

    Regional public spending; Outsourcing; Fiscal federalism; Public services; Regional analysis;
    All these keywords.

    JEL classification:

    • H6 - Public Economics - - National Budget, Deficit, and Debt
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bde:wpaper:1939. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ángel Rodríguez. Electronic Dissemination of Information Unit. Research Department. Banco de España (email available below). General contact details of provider: https://edirc.repec.org/data/bdegves.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.