Skip to main navigation menu Skip to main content Skip to site footer

Federal transfers and local collection in Mexico during 2004-2019

PANORAMA ECONÓMICO

Abstract

This paper analyses which variables influence on Mexican local governments revenue collection. A Panel data ranging from 2004 to 2019 for all 32 Mexican states was built. Four models were estimated: Ordinary Least Squares, fixed effects, random effects, and Arellano-Bond. The main result shows that, after adding dummy yearly variables: 1) spatial effects do not explain local governments resources collection, subnational fiscal policies are irrelevant to generate income; 2) federal transfers do not affect local governments resources collection; 3) local governments resources collection only responds to economic shocks that impact all 32 Mexican states.

Keywords

Federal transfers, local resource collection, panel data, dichotomic variables

PDF (Spanish)

References

  1. ASF (2018). Participaciones federales a entidades federativas y municipios. Disponible en https://www.asf.gob.mx/Trans/Informes/IR2016ii/Documentos/Auditorias/2016_MR-PARTICIPACIONES_a.pdf.
  2. Balaguer-Coll, M. T.; M. I. Brun-Martos; L. Márquez-Ramos, & D. Prior (2019). Local government efficiency: Determinants and spatial interdependence. Applied Economics, 51(14), pp. 1478-1494. doi:10.1080/00036846.2018.1527458.
  3. Dash, B. B., & A. V. Raja (2014). Do political determinants affect revenue collection? evidence from the Indian states. International Review of Economics, 61(3), pp. 253-278. doi:10.1007/s12232-014-0210-z
  4. Espinosa, S.; J. Martínez & C. Martell (2018). ¿Por qué algunos municipios en México son mejores recaudadores de impuesto predial que otros? Gestión y Política Pública, 27(2), pp. 375-395.
  5. Fondo Monetario Internacional (2020). Real data mapper. Cámara de Diputados. https://www.imf.org/external/datamapper/NGDP_RPCH@WEO/OEMDC/ADVEC/WEOWORLD.
  6. Goodman. C. B. (2008). House Princes and Property Tax Revenues During the Bom and Bust: Evidence from Small.Area Estimdates. Growth and Change, 49(4), 636-656.
  7. Gutiérrez, G. A. (2010). Capacidad tributaria y finanzas públicas metropolitanas en México. Estudios Demográficos y Urbanos, 25(1 (73)), pp. 103-132. doi:10.24201/edu.v25i1.1369.
  8. Ibarra Salazar, J., & L. Sotres Cervantes (2009). Determinantes de la recaudación del impuesto predial en Tamaulipas: Instituciones y zona frontera norte. Frontera Norte, 21(42), pp. 165-192.
  9. INEGI (2020a). Indicador Trimestral de la Actividad Económica Estatal (ITAEE). Disponible en https://www.inegi.org.mx/programas/itaee/2013/.
  10. INEGI (2020b). PIB por Entidad Federativa (PIBE). Disponible en https://www.inegi.org.mx/programas/pibent/2013/.
  11. Jerch, R. L.; M. Kahn, & G. C. Lin (2020). Local Public Finance Dynamics and Hurricane Shocks. NBER Working Paper, (28050).
  12. Kennedy, J. J. (2007). From the tax-for-fee reform to the abolition of agricultural taxes: The impact on township governments in north-west China. The China Quarterly (London), 189(189), 43-59. doi:10.1017/S0305741006000798.
  13. Lagunas Puls, S.; G. Aguilar Gutiérrez & J. J. Rodríguez Trejo (2014). Análisis del comportamiento estadístico y aproximación fractal en la recaudación del impuesto sobre nóminas y asimilados en el estado de Quintana Roo. Contaduría, Administración, 59(4), pp. 71-86.

Most read articles by the same author(s)