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Effect of the Complexity of the Customs Tax System on the Tax Effort

Author

Listed:
  • Jazmín González Aguirre

    (Economics and Business Management, University of Alcala (UAH), 28802 Alcala de Henares, Spain)

  • Alberto Del Villar

    (Department of Applied Economics, University of Alcala (UAH), 28802 Alcala de Henares, Spain)

Abstract

This paper empirically analyses the effects of the tax complexity and other elements, such as natural resource revenues, public expenditure, and the capacity of the statistical system, on the efficiency of Ecuadorian Customs Administration. For this purpose, the methodology used consists of modeling a stochastic production frontier whose estimation procedure is based on the maximum likelihood method for a data panel composed of six countries: Bolivia, Chile, Colombia, Ecuador, Peru, and Panama for the period from 2006 to 2017. The results of the study show that the countries whose tax system has a lower degree of complexity present a better level of revenue collected and tax effort as well as an improvement in the quality and dissemination of national statistical data. Furthermore, this paper provides evidence that the tax effort tends to decrease when the price of crude oil is on the rise.

Suggested Citation

  • Jazmín González Aguirre & Alberto Del Villar, 2022. "Effect of the Complexity of the Customs Tax System on the Tax Effort," Economies, MDPI, vol. 10(3), pages 1-17, February.
    • Handle: RePEc:gam:jecomi:v:10:y:2022:i:3:p:55-:d:756429
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    References listed on IDEAS

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    1. Anwar Shah, 1996. "A Fiscal Need Approach to Equalization," Canadian Public Policy, University of Toronto Press, vol. 22(2), pages 99-115, June.
    2. Khwaja, Munawer Sultan & Iyer, Indira, 2014. "Revenue potential, tax space, and tax gap : a comparative analysis," Policy Research Working Paper Series 6868, The World Bank.
    3. Leandro Medina & Mr. Friedrich Schneider, 2018. "Shadow Economies Around the World: What Did We Learn Over the Last 20 Years?," IMF Working Papers 2018/017, International Monetary Fund.
    4. Schneider, Friedrich, 2012. "The Shadow Economy and Work in the Shadow: What Do We (Not) Know?," IZA Discussion Papers 6423, Institute of Labor Economics (IZA).
    5. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    6. Richard Wagner, 1976. "Revenue structure, fiscal illusion, and budgetary choice," Public Choice, Springer, vol. 25(1), pages 45-61, March.
    7. Carola Pessino & Ricardo Fenochietto, 2010. "Determining countries’ tax effort," Hacienda Pública Española / Review of Public Economics, IEF, vol. 195(4), pages 65-87, december.
    8. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    9. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    10. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    11. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    12. Kumbhakar,Subal C. & Lovell,C. A. Knox, 2003. "Stochastic Frontier Analysis," Cambridge Books, Cambridge University Press, number 9780521666633, October.
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