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Tax Policy under the Curse of Low Revenues: The Case of Romania (Part II)

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Author Info

  • Daianu, Daniel

    ()
    (SNSPA, Bucharest)

  • Kallai, Ella

    ()
    (Alpha Bank Romania)

  • Lungu, Laurian

    ()
    (Cardiff Business School and Macroanalitica, Bucharest)

Abstract

It is an acknowledged fact that the tax revenue to GDP ratio in Romania is extremely low. This article suggests several ways through which budgetary revenues can be increased and, in the process, strengthen fiscal consolidation. Increasing tax collection rates, combating fiscal evasion and bringing parts of the shadow economy into the open would repair a fractured sentiment of fairness in the Romanian society. In particular, the results in this paper show that public sector revenues could rise by the equivalent of 4% of GDP if only half of the informal economy were to be brought to light.

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Bibliographic Info

Article provided by Institute for Economic Forecasting in its journal Romanian Journal for Economic Forecasting.

Volume (Year): (2012)
Issue (Month): 2 (June)
Pages: 143-162

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Handle: RePEc:rjr:romjef:v::y:2012:i:2:p:143-162

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Keywords: Budgetary Revenues; Taxation; Implicit Tax Rates; Arrears; Shadow Economy;

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References

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  1. Thomas Hemmelgarn & Gaëtan J.A. Nicodème, 2010. "The 2008 Financial Crisis and Taxation Policy," CESifo Working Paper Series 2932, CESifo Group Munich.
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  8. Roger Gordon & Wei Li, 2007. "Puzzling Tax Structures in Devloping Countries: A Comparison of Two Alternative Explanations," NBER Chapters, in: Fiscal Policy and Management in East Asia, NBER-EASE, Volume 16, pages 9-35 National Bureau of Economic Research, Inc.
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  16. Alexandru Adriana Anamaria & Dobre Ion & Ghinararu Catalin, 2009. "Estimating The Size Of Romanian Shadow Economy Using The Currency Demand Approach," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 2(1), pages 623-631, May.
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Cited by:
  1. Pelinescu, Elena, 2013. "The Mechanisms of Arrears in Romania," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 223-239, June.

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