Tax-budget Deficit Relationships: Fiscalists’ Platform for Deficit Financing Policy

Samuel O. Okafor, Olisaemeka D. Maduka, Ann N. Ike, Benedict I. Uzoechina, Celestine I. Ohachosim


With heavy debt burden on developing economies accompanied by their low credit worthiness rating, developing economies often resort to taxes for financing development projects. Raising tax rates and expanding tax bases have become frequent government activities in developing economies. Without dynamic deficit financing policy which takes into cognizance the conflicting arithmetic and economic effect of Laffer curve analysis, financing budget deficit through taxation has remained largely unsuccessful. Perhaps, what was required is to constitute latent factors operating along Laffer curve into major theoretical construct of a deficit financing policy. Therefore, study focused on identifying latent factors influencing the inter-relationship among budget deficit finance, taxes, human capital and macroeconomic indicators. Study spanned across 1970-2015. Data were sourced from Central Bank of Nigeria, National Bureau of Statistics and World Development Indicators. Data were analyzed using exploratory factor analysis. Results indicate that: (1) Tax contributed significantly to budget deficit financing (2)Tax spending and disposable personal income were latent factors influencing the effectiveness of deficit financing (3) Tax spending activated government revenue to contribute significantly to budget deficit reduction (4) Disposable personal income boosted GDP to cause reduction in budget deficit . It was concluded that, with the taxonomy of highly significant factor correlates of tax spending and disposable personal income, a viable deficit financing policy was devised with component tax, budgetary, pricing, credit and macroeconomic policies. It was recommended, inter alia, that developing economies should activate their current deficit financing policies by adapting them to their tax spend and macroeconomic policies.

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Business and Management Studies     ISSN 2374-5916 (Print)     ISSN 2374-5924 (Online)

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