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Regional tax effort in Spain

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  • Zárate Marco, Anabel
  • Vallés Giménez, Jaime

Abstract

This work examines in depth the hypotheses explaining the tax capacity of regional governments, also determining their tax effort and explanatory factors. The study is done for the Spanish regions, using different techniques which have rarely been applied in this area. The results show that these jurisdictions have exercised their tax autonomy responsibly, in response to different political, budget, and demographic factors and to the economic cycle. Also, an asymmetrical tax behaviour linked to income is observed: some regions have practically exhausted the possibilities of current sub-central taxes, while others still have ample fiscal space.

Suggested Citation

  • Zárate Marco, Anabel & Vallés Giménez, Jaime, 2018. "Regional tax effort in Spain," Economics Discussion Papers 2018-79, Kiel Institute for the World Economy (IfW Kiel).
  • Handle: RePEc:zbw:ifwedp:201879
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    1. Thandika Mkandawire, 2010. "On Tax Efforts and Colonial Heritage in Africa," Journal of Development Studies, Taylor & Francis Journals, vol. 46(10), pages 1647-1669.
    2. Sandhya Garg & Ashima Goyal & Rupayan Pal, 2017. "Why Tax Effort Falls Short of Tax Capacity in Indian States," Public Finance Review, , vol. 45(2), pages 232-259, March.
    3. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    4. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    5. Daniel Hoechle, 2007. "Robust standard errors for panel regressions with cross-sectional dependence," Stata Journal, StataCorp LP, vol. 7(3), pages 281-312, September.
    6. Aragon, Y. & Daouia, A. & Thomas-Agnan, C., 2005. "Nonparametric Frontier Estimation: A Conditional Quantile-Based Approach," Econometric Theory, Cambridge University Press, vol. 21(2), pages 358-389, April.
    7. Mustafa U. Karakaplan & Levent Kutlu, 2017. "Handling Endogeneity in Stochastic Frontier Analysis," Economics Bulletin, AccessEcon, vol. 37(2), pages 889-901.
    8. Linda Andersson & Thomas Aronsson & Magnus Wikstr–m, 2004. "Testing for Vertical Fiscal Externalities," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 11(3), pages 243-263, May.
    9. Garg, Sandya & Ashima Goyal & Rupayan Pal, 2014. "Why tax effort falls short of capacity in Indian states: A Stochastic frontier approach," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2014-032, Indira Gandhi Institute of Development Research, Mumbai, India.
    10. Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, vol. 106(1), pages 1-25, January.
    11. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    12. Wu, De-Min, 1974. "Alternative Tests of Independence between Stochastic Regressors and Disturbances: Finite Sample Results," Econometrica, Econometric Society, vol. 42(3), pages 529-546, May.
    13. Oleg Badunenko & Daniel J. Henderson & Subal C. Kumbhakar, 2012. "When, where and how to perform efficiency estimation," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(4), pages 863-892, October.
    14. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    15. Carola Pessino & Ricardo Fenochietto, 2010. "Determining countries’ tax effort," Hacienda Pública Española / Review of Public Economics, IEF, vol. 195(4), pages 65-87, december.
    16. Colin Thirtle & Bhavani Shankar & Puneet Chitkara & Somnath Chatterjee & Madhu S. Mohanty, 2000. "Size Does Matter: Technical and Scale Efficiency in Indian State Tax Jurisdictions," Review of Development Economics, Wiley Blackwell, vol. 4(3), pages 340-352, October.
    17. John Mikesell, 0. "Changing State Fiscal Capacity and Tax Effort in an Era of Devolving Government, 1981-2003," Publius: The Journal of Federalism, CSF Associates Inc., vol. 37(4), pages 532-550.
    18. Bird, Richard M. & Martinez-Vazquez, Jorge & Torgler, Benno, 2008. "Tax Effort in Developing Countries and High Income Countries: The Impact of Corruption, Voice and Accountability," Economic Analysis and Policy, Elsevier, vol. 38(1), pages 55-71, March.
    19. Mustafa Ugur Karakaplan, 2018. "XTSFKK: Stata module to estimate endogenous panel stochastic frontier models in the style of Karakaplan and Kutlu," Statistical Software Components S458445, Boston College Department of Economics, revised 07 May 2022.
    20. Musharraf Rasool Cyan & Jorge Martinez-Vazquez & Violeta Vulovic, 2014. "New approaches to measuring tax effort," Chapters, in: Richard M. Bird & Jorge Martinez-Vazquez (ed.), Taxation and Development: The Weakest Link?, chapter 2, pages 27-68, Edward Elgar Publishing.
    21. 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.
    22. 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.
    23. repec:bla:rdevec:v:4:y:2000:i:3:p:340-52 is not listed on IDEAS
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    Cited by:

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    2. Leykun, Fentaw, 2021. "Tax Revenue Potential and Effort in Ethiopia: Evidence from Stochastic Frontier Analysis," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 30(02), October.

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    More about this item

    Keywords

    regional tax effort; regional taxes; tax potential; frontier techniques;
    All these keywords.

    JEL classification:

    • H71 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Taxation, Subsidies, and Revenue
    • H2 - Public Economics - - Taxation, Subsidies, and Revenue
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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