EVALUATING THE AD-HOC IMPACT OF FISCAL POLICY AND GOVERNANCE QUALITY IN ATTRACTING THE OFFICIAL DEVELOPMENT ASSISTANCE: A TESTIMONIAL FROM EAST AFRICAN COUNTRIES

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Published: Mar 31, 2023

  Kadir Aden

  Sadik Aden Dirir

Abstract

Numerous studies have exclusively focused on foreign direct inflow attraction whereas the relative attraction of official development assistance (ODA) has relatively seldom been addressed, particularly in the context of spillover attraction in East Africa. In contrast to FDI, official development assistance, requires lesser complex frameworks for donors although the idiosyncrasy of philanthropic grants for developing nations such Africa is more unlikely without a cardinal governmental strategy. Accordingly, in this paper we examine how adequate fiscal policy in East Africa contributes to increase of official development assistance (I), we also addressee how governance quality facilitates the barrier for ODA inflow which in turn provides a decent inflow for recipient state. To provide empirical answers, the study employed panel cointegration test Ols test to explore the impact and relationship, similarly a granger causality test was used to observe future effect. According to the findings, fiscal policy manifested a negative long run association with official development assistance. Which brings the light how East Africa region are still stagnating in the sense of failing to implement adequate fiscal policy. This poor budget implications with a limited portfolio fails the assurance of providing a concise distribution at different public sectoral which in turns alters potential external aid. At the same time, the finding in this article also demonstrates that aid may have adverse fiscal policy-related repercussions that are not just harmful but also ineffectual. Channeling help to nations with "poor policies" does not solve the problem: funding consistently weakens positive policies that already exist while encouraging aid dependency. On the other hand, Governance factors positively attracts ODA spillover. This Panacea of Governmental quality for ODA materialization in the long-run can be attributed on how ODA is attracted toward nations with greater transparency level.

How to Cite

Aden, K., & Aden Dirir, S. (2023). EVALUATING THE AD-HOC IMPACT OF FISCAL POLICY AND GOVERNANCE QUALITY IN ATTRACTING THE OFFICIAL DEVELOPMENT ASSISTANCE: A TESTIMONIAL FROM EAST AFRICAN COUNTRIES. Green, Blue and Digital Economy Journal, 4(1), 11-21. https://doi.org/10.30525/2661-5169/2023-1-2
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Keywords

aid assistance, East Africa, budget implication, fiscal policy, bureaucratic quality

References

Alao, R.O., & Alola, A.A. (2022). “The role of foreign aids and income inequality in poverty reduction: A sustainable development approach for Africa?” Journal of Social and Economic Development, 24(2): 456–469.

Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The review of economic studies, 58(2): 277–297.

Azam, M. and Feng, Y. (2021). “Does foreign aid stimulate economic growth in developing countries? Further evidence in both aggregate and disaggregated samples.” Quality & Quantity, pp. 1–24.

Dinh Su, T. and Phuc Nguyen, C. (2022). “Foreign financial flows, human capital and economic growth in African developing countries.” International Journal of Finance & Economics, 27(3): 3010–3031.

Gatto, A. and Sadik-Zada, E.R. (2021). “Revisiting the East Asian financial crises: Lessons from ethics and development patterns.” Economic Growth and Financial Development: Effects of Capital Flight in Emerging Economies, pp. 23–31.

Granger, C. W. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica: journal of the Econometric Society, pp. 424-–438.

Kao, C. (1999). Spurious regression and residual-based tests for cointegration in panel data. Journal of Econometrics, 90,1: 1–44.

Kim, S. and Gray, K. (2016). “Overseas development aid as spatial fix? Examining South Korea’s Africa policy.” Third World Quarterly, 37(4): 649–664.

Lang, V. (2021). “The economics of the democratic deficit: The effect of IMF programs on inequality.” he Review of International Organizations, 16(3): 599–623.

Li, D.D., Rishi, M. and Bae, J.H. (2021). “Green official development Aid and carbon emissions: do institutions matter?” Environment and Development Economics, 26(1): 88–107.

Myers, R.H., & Myers, R.H. (1990). Classical and modern regression with applications (Vol. 2, p. 488). Belmont, CA: Duxbury press.

Negeri G, Haile Mariam D. (2016). “Effect of health development assistance on health status in sub-Saharan Africa.” Risk Manag Healthc Policy, 9: 33–42.

Pedroni, P. (1999). Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxford Bulletin of Economics and Statistics, 61S1: 653–670.

Pesaran, M.H., Shin, Y., & Smith, R.P. (1999). Pooled mean group estimation of dynamic heterogeneous panels. Journal of the American Statistical Association, 94-446: 621–634.

Wang, Q., Wang, X. and Li, R. (2022). “Does official development assistance alleviate the environmental pressures during the urbanization of recipient countries? Evidence from the sub-Saharan Africa countries.” Environmental Impact Assessment Review, 95: 106787.