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Fiscal Conditions And International Economic Crisis: An Analysis Between Sãƒo Paulo And Rio De Janeiro Municipalities

Author

Listed:
  • William Gledson e Silva

    (Universidade Federal do Rio Grande do Norte (UFRN))

  • Francisco Danilo da Silva Ferreira

    (Universidade Federal do Rio Grande do Norte (UFRN))

  • Ana Cristina Nogueira Maia

    (Faculdade Regional Brasileira (Unirb))

Abstract

This paper aimed to comparatively analyze the municipal fiscal condition of São Paulo (SP) and Rio de Janeiro (RJ), whose relation of own revenues and the ones resulting from intergovernmental transfers, besides Personnel (DP), Investment (DI) and Social Expenses (DS), have been linked to the resource gap, in the period 2001 to 2015. Methodologically, it used a couple of periods before and after the context of the 2008 crisis were used, likewise, the research results were measured through static panel data model. Finally, the paper reached evidence that indicated a predominance of federal intergovernmental transfers in the increase of the resource gap, and a fiscal deficit due to personnel expenses (more emphatically) compared to the others, within the context of crisis.

Suggested Citation

  • William Gledson e Silva & Francisco Danilo da Silva Ferreira & Ana Cristina Nogueira Maia, 2021. "Fiscal Conditions And International Economic Crisis: An Analysis Between Sãƒo Paulo And Rio De Janeiro Municipalities," Revista de Economia Mackenzie (REM), Mackenzie Presbyterian University, Social and Applied Sciences Center, vol. 18(1), pages 92-114, January-J.
    • Handle: RePEc:aft:journl:v:18:1:2021:jan:jun:p:92-114
    DOI: 105935/1808-2785/rem.v18n1p.92-114
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    More about this item

    Keywords

    Fiscal condition; 2008 crisis; Municipalities; São Paulo; Rio de Janeiro.;
    All these keywords.

    JEL classification:

    • H70 - Public Economics - - State and Local Government; Intergovernmental Relations - - - General
    • G01 - Financial Economics - - General - - - Financial Crises
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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