IDEAS home Printed from https://ideas.repec.org/p/zbw/ifwedp/201879.html
   My bibliography  Save this paper

Regional tax effort in Spain

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.economics-ejournal.org/economics/discussionpapers/2018-79
    Download Restriction: no

    File URL: https://www.econstor.eu/bitstream/10419/184920/1/1040947204.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. Thandika Mkandawire, 2010. "On Tax Efforts and Colonial Heritage in Africa," Journal of Development Studies, Taylor & Francis Journals, vol. 46(10), pages 1647-1669.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Carola Pessino & Ricardo Fenochietto, 2010. "Determining countries’ tax effort," Hacienda Pública Española / Review of Public Economics, IEF, vol. 195(4), pages 65-87, december.
    10. 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.
    11. 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.
    12. 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.
    13. Daniel Hoechle, 2007. "Robust standard errors for panel regressions with cross-sectional dependence," Stata Journal, StataCorp LP, vol. 7(3), pages 281-312, September.
    14. 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.
    15. 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.
    16. 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.
    17. Mustafa U. Karakaplan & Levent Kutlu, 2017. "Handling Endogeneity in Stochastic Frontier Analysis," Economics Bulletin, AccessEcon, vol. 37(2), pages 889-901.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. repec:bla:rdevec:v:4:y:2000:i:3:p:340-52 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Monika Banaszewska, 2023. "Equalisation Grants and Local Taxation: The Case of Poland," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 47-65.
    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.

    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. repec:cuf:journl:y:2017:v:18:i:1:valles-gimenez is not listed on IDEAS
    2. Jaime Valles-Gimenez & Anabel Zarate-Marco, 2017. "Tax Effort of Local Governments and its Determinants: The Spanish Case," Annals of Economics and Finance, Society for AEF, vol. 18(2), pages 323-348, November.
    3. Cristian Barra & Nazzareno Ruggiero, 2022. "How do dimensions of institutional quality improve Italian regional innovation system efficiency? The Knowledge production function using SFA," Journal of Evolutionary Economics, Springer, vol. 32(2), pages 591-642, April.
    4. Anne-Kathrin Last & Heike Wetzel, 2009. "Effizienzmessverfahren – eine Einführung," Working Paper Series in Economics 145, University of Lüneburg, Institute of Economics.
    5. Muhammad Usman Arshad, 2021. "Forecasted E/P Ratio and ROE: Shanghai Stock Exchange (SSE), China," SAGE Open, , vol. 11(2), pages 21582440211, June.
    6. Ángeles Castro Gerardo & Ramírez Camarillo Diana Berenice, 2014. "Determinants of tax revenue in OECD countries over the period 2001-2011," Contaduría y Administración, Accounting and Management, vol. 59(3), pages 35-60, julio-sep.
    7. Akinola Ezekiel Morakinyo & Mabutho Sibanda, 2016. "The Determinants of Non-Performing Loans in the MINT Economies," Journal of Economics and Behavioral Studies, AMH International, vol. 8(5), pages 39-55.
    8. George E. Halkos & Apostolos S. Tsirivis, 2023. "Electricity Prices in the European Union Region: The Role of Renewable Energy Sources, Key Economic Factors and Market Liberalization," Energies, MDPI, vol. 16(6), pages 1-20, March.
    9. 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.
    10. Nguyen, Trang T.T. & Prior, Diego & Van Hemmen, Stefan, 2020. "Stochastic semi-nonparametric frontier approach for tax administration efficiency measure: Evidence from a cross-country study," Economic Analysis and Policy, Elsevier, vol. 66(C), pages 137-153.
    11. Zhongqi Deng & Qianyu Zhao & Helen X. H. Bao, 2020. "The Impact of Urbanization on Farmland Productivity: Implications for China’s Requisition–Compensation Balance of Farmland Policy," Land, MDPI, vol. 9(9), pages 1-24, September.
    12. Nora Abu Asab & Juan Carlos Cuestas, 2017. "The Credibility of a Soft Pegged Exchange Rate in Emerging Market Economies: Evidence from a Panel Data Study," Annals of Economics and Finance, Society for AEF, vol. 18(1), pages 29-51, May.
    13. Vallés-Giménez, Jaime & Zárate-Marco, Anabel, 2017. "Fungibility and bandwagon effects of capital transfers in a federal context," Economics Discussion Papers 2017-46, Kiel Institute for the World Economy (IfW Kiel).
    14. Longjin Chen, 2021. "Tax enforcement interactions among Chinese provinces: A frontier and spatial analysis," Growth and Change, Wiley Blackwell, vol. 52(1), pages 332-348, March.
    15. Ordeñana, Xavier & Vera-Gilces, Paúl & Zambrano-Vera, Jack & Jiménez, Alfredo, 2024. "The effect of high-growth and innovative entrepreneurship on economic growth," Journal of Business Research, Elsevier, vol. 171(C).
    16. Galina Besstremyannaya, 2015. "Heterogeneous effect of residency matching and prospective payment on labor returns and hospital scale economies," Discussion Papers 15-001, Stanford Institute for Economic Policy Research.
    17. Ceyhun Elgin & Selman Çakır, 2015. "Technological progress and scientific indicators: a panel data analysis," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 24(3), pages 263-281, April.
    18. Sacchidananda Mukherjee, 2020. "Goods and Services Tax efficiency across Indian States: panel stochastic frontier analysis," Indian Economic Review, Springer, vol. 55(2), pages 225-251, December.
    19. Diby François Kassi & Dilesha Nawadali Rathnayake & Pierre Axel Louembe & Ning Ding, 2019. "Market Risk and Financial Performance of Non-Financial Companies Listed on the Moroccan Stock Exchange," Risks, MDPI, vol. 7(1), pages 1-29, February.
    20. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    21. Zarkovic, Maja, 2020. "Cap-and-trade and produce at least cost? Investigating firm behaviour in the EU ETS," Working papers 2020/12, Faculty of Business and Economics - University of Basel.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:ifwedp:201879. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/iwkiede.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.