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Revenue and expenditure nexus: A case study of ECOWAS

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  • Magazzino, Cosimo

Abstract

This paper aims to assess the relationship among fiscal variables (government revenue and expenditure) in Sub-Saharan African countries. Using yearly data for the period between 1980 and 2011 in fifteen ECOWAS countries, a weak long-run relationship between government expenditure and revenue emerge, but only in the case of WAMZ countries. Granger causality analysis show mixed results for WAEMU countries, while for four out of six WAMZ countries (Gambia, Liberia, Nigeria, and Sierra Leone) the 'tax-and-spend' hypothesis holds, since government revenue would drive the expenditure.

Suggested Citation

  • Magazzino, Cosimo, 2013. "Revenue and expenditure nexus: A case study of ECOWAS," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-27.
  • Handle: RePEc:zbw:ifweej:201313
    DOI: 10.5018/economics-ejournal.ja.2013-13
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    References listed on IDEAS

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    6. E D Balogun, 2010. "Alternative reconsideration of output growth differential for West African Monetary Zone," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Proceedings of the SARB/IFC seminar on "Economic and financial convergence en route to regional economic integration: experience, prospects and statis, volume 32, pages 106-120, Bank for International Settlements.
    7. Ernest Aryeetey, 2001. "Regional Integration in West Africa," OECD Development Centre Working Papers 170, OECD Publishing.
    8. Mr. Montfort Mlachila & Mr. Tidiane Kinda, 2011. "The Quest for Higher Growth in the WAEMU Region: The Role of Accelerations and Decelerations," IMF Working Papers 2011/174, International Monetary Fund.
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    Citations

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    Cited by:

    1. A. Phiri, 2019. "Asymmetries in the revenue–expenditure nexus: new evidence from South Africa," Empirical Economics, Springer, vol. 56(5), pages 1515-1547, May.
    2. Obeng, Samuel, 2015. "A Causality Test of the Revenue-Expenditure Nexus in Ghana," MPRA Paper 63735, University Library of Munich, Germany, revised 25 Feb 2015.
    3. Dervis Kirikkaleli & Bugra Ozbeser, 2023. "Government Expenditures and Tax Revenues in the United States of America," SAGE Open, , vol. 13(1), pages 21582440231, March.
    4. Hu, Guoheng & Can, Muhlis & Paramati, Sudharshan Reddy & Doğan, Buhari & Fang, Jianchun, 2020. "The effect of import product diversification on carbon emissions: New evidence for sustainable economic policies," Economic Analysis and Policy, Elsevier, vol. 65(C), pages 198-210.
    5. Olalekan Bashir Aworinde, 2013. "The tax-spend nexus in Nigeria: Evidence from Nonlinear Causality," Economics Bulletin, AccessEcon, vol. 33(4), pages 3117-3130.
    6. Oyeyinka OMOSHORO-JONES, 2020. "Investigating The Government Revenue–Expenditure Nexus: Empirical Evidence For The Free State Province In A Multivariate Model," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 11(2), pages 138-156.
    7. Olumuyiwa Ganiyu Yinusa & Olalekan Bashir Aworinde & Isiaq Olasunkanmi Oseni, 2017. "The Revenue-Expenditure Nexus in Nigeria: Assymetric Cointegration Approach," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 15(1), pages 47-61.

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    More about this item

    Keywords

    ECOWAS; Sub-Saharan Africa; economic growth; government expenditure; government revenue; panel;
    All these keywords.

    JEL classification:

    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions
    • B22 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Macroeconomics
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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