IDEAS home Printed from https://ideas.repec.org/p/wiw/wiwrsa/ersa15p312.html
   My bibliography  Save this paper

Effects of the General System of Royalties on municipal fiscal performance in Colombia: a dose-response analysis

Author

Listed:
  • Jaime Bonet
  • Karelys Guzman
  • Joaquin Urrego
  • Juan Villa

Abstract

There is an extensive literature on the impact of nonrenewable natural resources (NNR) in the fiscal performance of countries. Overall, with few exceptions, the studies suggest an inverse relationship between these two variables. According to the IDB (2013), the presence of NNR can lead to the so called 'resource curse', where the abundance of income that comes from this source adversely affects institutional capacity, governance, and economic growth. There is not too much literature about the impact of the relative abundance of NNR on the fiscal performance of sub-national governments and conflicting results have been found. One of the most recent changes in regional policy in Colombia was the creation of the General Royalties System (SGR by its Spanish acronym) in 2011. Before the new scheme, royalties were distributed to those territories where NNR were extracted and to the maritime or river ports used to transport these resources. With the creation of SGR, these resources began to be distributed between all municipalities and departments through various funds and according to the socioeconomic conditions of each territory. As a result of the increased mining and energy production, royalties increased from 0.6% of GDP in 2002 to 1.66% in 2012. These resources are an important source of funding for projects in sub-national governments. For municipalities, these funds are twice the amount collected by two of the most important municipal taxes, property tax and industry and commerce tax. This is an excellent opportunity to assess the impact of the new system on the fiscal behavior of local authorities. This paper evaluates the effects of the implementation of the SGR on the fiscal performance at the municipality level in 2012, employing a dose-response analysis based on Hirano and Imbens (2004) for a sample of 1,025 municipalities. Unlike conventional impact evaluations comparing treatment and control groups, the dose-response analysis compares municipalities with higher and lower allocation of royalties. The non-randomness of assignments is controlled by estimating the generalized propensity score. The results indicate that a level of 20% allocation of royalties in the total revenue of the municipalities represents an important threshold performance of these localities. It was found that in the 93% of municipalities, where the proportion of royalties in their total revenues are less or equal to 20%, the fiscal performance measured by several indexes worsens, while the dependency on the royalties increases. On the other hand, if such proportion is higher than 20% the fiscal performance improves but the local investment falls. Given that the reform assigned resources but did not guarantee their appropriation by the municipalities, these results can be explained by the low execution of royalties during 2012.

Suggested Citation

  • Jaime Bonet & Karelys Guzman & Joaquin Urrego & Juan Villa, 2015. "Effects of the General System of Royalties on municipal fiscal performance in Colombia: a dose-response analysis," ERSA conference papers ersa15p312, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa15p312
    as

    Download full text from publisher

    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa15/e150825aFinal00312.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fernando Antonio Slaibe Postali & Fabiana Fontes Rocha, 2011. "Resource windfalls,fiscal effort and public spending: evidence from Brazilianmunicipalities," Anais do XXXVII Encontro Nacional de Economia [Proceedings of the 37th Brazilian Economics Meeting] 64, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    2. José A. Tijerina–Guajardo & José A. Pagán, 2003. "Government Spending, Taxation, and Oil Revenues in Mexico," Review of Development Economics, Wiley Blackwell, vol. 7(1), pages 152-164, February.
    3. Alejandro Gaviria Uribe & Juan Gonzalo Zapata & Adriana González, 2002. "Petróleo y región: El caso del Casanare," Cuadernos de Fedesarrollo 12733, Fedesarrollo.
    4. Jaime Bonet Morón, 2007. "Regalías y finanzas públicas en el Departamento del Cesar," Documentos de Trabajo Sobre Economía Regional y Urbana 4308, Banco de la República, Economía Regional.
    5. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    6. Michela Bia & Alessandra Mattei, 2008. "A Stata package for the estimation of the dose–response function through adjustment for the generalized propensity score," Stata Journal, StataCorp LP, vol. 8(3), pages 354-373, September.
    7. Guillermo Perry & Mauricio Olivera, 2010. "El impacto del petróleo y la minería en el desarrollo regional y local en Colombia," Working Papers Series. Documentos de Trabajo 9070, Fedesarrollo.
    8. Kosuke Imai & David A. van Dyk, 2004. "Causal Inference With General Treatment Regimes: Generalizing the Propensity Score," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 854-866, January.
    9. Mr. Steven A Barnett & Mr. Rolando Ossowski, 2002. "Operational Aspects of Fiscal Policy in Oil-Producing Countries," IMF Working Papers 2002/177, International Monetary Fund.
    10. Perry, Guillermo & Olivera, Mauricio, 2009. "El impacto del petróleo y la minería en el desarrollo regional y local en Colombia," Research Department working papers 199, CAF Development Bank Of Latinamerica.
    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. Jerzy Michalek & Pavel Ciaian & d’Artis Kancs, 2014. "Capitalization of the Single Payment Scheme into Land Value: Generalized Propensity Score Evidence from the European Union," Land Economics, University of Wisconsin Press, vol. 90(2), pages 260-289.
    2. Juan Mauricio Ramírez & Juan Guillermo Bedoya, 2014. "Regalías directas por hidrocarburos y esfuerzo fiscal municipal en Colombia," Coyuntura Económica, Fedesarrollo, December.
    3. Tübbicke Stefan, 2022. "Entropy Balancing for Continuous Treatments," Journal of Econometric Methods, De Gruyter, vol. 11(1), pages 71-89, January.
    4. Juan M. Villa, 2014. "The length of exposure to antipoverty transfer programmes: what is the relevance for children's human capital formation?," Global Development Institute Working Paper Series 20614, GDI, The University of Manchester.
    5. Emiliano Magrini & Pierluigi Montalbano & Silvia Nenci & Luca Salvatici, 2017. "Agricultural (Dis)Incentives and Food Security: Is There a Link?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(4), pages 847-871.
    6. Ruth T. Chepchirchir & Ibrahim Macharia & Alice W. Murage & Charles A. O. Midega & Zeyaur R. Khan, 2017. "Impact assessment of push-pull pest management on incomes, productivity and poverty among smallholder households in Eastern Uganda," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(6), pages 1359-1372, December.
    7. Juan M. Villa, 2018. "The continuous treatment effect of an antipoverty program on children's educational attainment: Colombia's Familias en Accion," Review of Development Economics, Wiley Blackwell, vol. 22(3), pages 1239-1262, August.
    8. Noémi Kreif & Richard Grieve & Iván Díaz & David Harrison, 2015. "Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1213-1228, September.
    9. Hilal Atasoy & Rajiv D. Banker & Paul A. Pavlou, 2016. "On the Longitudinal Effects of IT Use on Firm-Level Employment," Information Systems Research, INFORMS, vol. 27(1), pages 6-26, March.
    10. Tugba Akkaya Hocagil & Richard J. Cook & Sandra W. Jacobson & Joseph L. Jacobson & Louise M. Ryan, 2021. "Propensity score analysis for a semi‐continuous exposure variable: a study of gestational alcohol exposure and childhood cognition," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(4), pages 1390-1413, October.
    11. W K Newey & S Stouli, 2022. "Heterogeneous coefficients, control variables and identification of multiple treatment effects [Multivalued treatments and decomposition analysis: An application to the WIA program]," Biometrika, Biometrika Trust, vol. 109(3), pages 865-872.
    12. Ida D'Attoma & Silvia Pacei, 2018. "Evaluating the Effects of Product Innovation on the Performance of European Firms by Using the Generalised Propensity Score," German Economic Review, Verein für Socialpolitik, vol. 19(1), pages 94-112, February.
    13. Michela Bia & Carlos A. Flores & Alfonso Flores-Lagunes & Alessandra Mattei, 2014. "A Stata package for the application of semiparametric estimators of dose–response functions," Stata Journal, StataCorp LP, vol. 14(3), pages 580-604, September.
    14. Flores, Carlos A. & Mitnik, Oscar A., 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," IZA Discussion Papers 4451, Institute of Labor Economics (IZA).
    15. Jie Zhu & Blanca Gallego, 2021. "Continuous Treatment Recommendation with Deep Survival Dose Response Function," Papers 2108.10453, arXiv.org, revised Sep 2023.
    16. Wei Huang & Oliver Linton & Zheng Zhang, 2021. "A Unified Framework for Specification Tests of Continuous Treatment Effect Models," Papers 2102.08063, arXiv.org, revised Sep 2021.
    17. Ying-Ying Lee, 2015. "Efficient propensity score regression estimators of multi-valued treatment effects for the treated," Economics Series Working Papers 738, University of Oxford, Department of Economics.
    18. Fabio Sánchez Torres & Mónica Pachón, 2013. "Descentralización, Esfuerzo Fiscal y Progreso Social en Colombia en el Nivel Local, 1994-2009: ¿Por qué Importa la Política Nacional?," Documentos CEDE 11468, Universidad de los Andes, Facultad de Economía, CEDE.
    19. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    20. Sung Jae Jun & Joris Pinkse & Haiqing Xu & Neşe Yıldız, 2016. "Multiple Discrete Endogenous Variables in Weakly-Separable Triangular Models," Econometrics, MDPI, vol. 4(1), pages 1-21, February.

    More about this item

    Keywords

    Dose-Response Analysis; fiscal performance; Royalties; Colombia;
    All these keywords.

    JEL classification:

    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
    • H71 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Taxation, Subsidies, and Revenue
    • Q38 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Government Policy (includes OPEC Policy)

    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:wiw:wiwrsa:ersa15p312. 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: Gunther Maier (email available below). General contact details of provider: http://www.ersa.org .

    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.