Asymmetric Effects of Development Finance Institutions Funding (DFIs) on Investment in Zimbabwe: A Futuristic Perspective

Ismael Tarirai

doi:10.59413/ajocs/v5.i1.5

Authors

Ismael Tarirai Midlands State University Author https://orcid.org/0009-0009-4310-9448 (unauthenticated)

DOI:

https://doi.org/10.59413/ajocs/v5.i1.5

Keywords:

Development Finance, Development Finance Institutions Funding, Investment, Sustainable Investment, Economic Growth, ARDL modelling approach

Abstract

Introduction - This study aimed to explore the anticipated asymmetric effects of developmental finance institutions (DFIs) funding on investment in Zimbabwe. Given the volatile nature of development finance, Zimbabwe has faced challenges in effectively mobilizing aid, often struggling to persuade donors due to government spending plans and political factors. The research sought to investigate the potential asymmetrical linkages between DFIs funding and investment in Zimbabwe.

Methodology: Model and Variables - To examine the futuristic asymmetric relationship between DFIs funding and investment in the Zimbabwean economy, a non-linear NARDL modelling approach will be employed. This methodology will estimate the projected non-linear co-integrating association between positive and negative shocks to DFIs funding and investment. The data set consisted of projected annual macroeconomic variables for Zimbabwe obtained from world bank and IMF.

Results - In the short run, it was found that both positive and negative shocks influence future investment, with negative shocks expected to have a larger effect. These negative shocks arise from economic downturns or external shocks, while positive shocks could result from increased funding or favourable policy changes. In the long run, it was found that positive shocks to DFIs funding have a positive impact on investment, leading to increased economic growth and development.

Conclusion and Recommendations - Based on the results, DFIs funding should exhibit an asymmetric relationship with investment in Zimbabwe. It is crucial for the government of Zimbabwe to proactively plan for these anticipated asymmetric effects and develop strategies to maximize the benefits of DFIs funding. By implementing the recommendations, Zimbabwe can be able to ensure a more favourable environment for future DFIs funding, fostering sustainable investment and economic growth.

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References

Adusei E (2020). The impact of Foreign Aid on Economic Growth in Sub-Sahara Africa: The mediating role of institutions. Kwame Nkrumah University of Science and Technology. 27 May 2020

Alvi, A., & Senbeta, A. (2012). Does foreign aid reduce poverty? Journal of International Development, 24(8), 955–976.

Arndt, C., Jones, S., & Tarp, F. (2010). Aid, growth, and development: Have we come full circle? Journal of Globalization and Development, 1(2), 1–27.

Arndt, C., Jones, S., & Tarp, F. (2015). Assessing foreign aid’s long-run contribution to growth and development. World Development, 69, 6–18. May 2015.

Arvin, M. B., & Barillas, F. (2002). Foreign aid, poverty reduction, and democracy. Applied Economics, 34 (17), 2151–2156.

Dickey, D. A., & Fuler, W. A. (1981). Likelihood ratio statistics for auto regressive time series with a unit root. Econometrica, 49, 1057–1072.

Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time Series with a unit root. Journal of the American Statistical Association, 74, 427–431.

Ekanayake E. M and Chatrna D (2014). The effect of foreign aid on economic growth in developing countries. Journal of International Business and Cultural Studies. Foreign Aid and Growth

Easterly, W., Levine, R., & Roodman, D. (2004). Aid, policies, and growth: comment. American economic review, 94(3), 774-780.

Farahmand, M.A. (2021). The relationship between economic growth and foreign aid: The case of Afghanistan. İktisat Politikası Araştırmaları Dergisi - Journal of Economic Policy Researches, 8(2), 141-154.

Gujarati, D.N. (2004) ‘Basic Econometrics’, 4th Edition, New York: McGraw Hill Company.

Gujarati, D.N. and Porter, D.C. (2009) ‘Basic Econometrics’, 5th Edition, New York: McGraw Hill Irwin.

Izobo M (2020). The Impact of Foreign Aid in Africa: A case study of Botswana and Somalia

Lawrence, I. A., Osedebamhen, M., & Eikhomun, D. E. (2014). Development of financial system and economic growth: Empirical evidence from Nigeria. European Journal of Business and Management, 6(30), 137–152.

Malik, M. Y., Latif, K., Khan, Z., Butt, H. D., Hussain, M., and Nadeem, M. A. (2020). Symmetric and asymmetric impact of oil price, FDI and economic growth on carbon emission in Pakistan: evidence from ARDL and non-linear ARDL approach. Sci. Tot. Environ.

Mustafa Murshed, Mosammat Mustari Khanaum (2014) Impact of Foreign Aid in The Economic Development of Recipient Country. Journal of the Bangladesh Association of Young Researchers (JBAYR): Volume 2, Number 1, 2012 & 2013. ISSN 1991-0746 (Print), ISSN 2220-119X (Online). Published in September 2014, Pages-33-37.

OECD. (2018). Frequently asked questions: What are the differences between bilateral, multilateral and Bi/ Multi aid? [Online].

Pesaran M. H., Shin Y., & Smith R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of applied econometrics, 16(3), 289–326.

Pesaran, M.H. and Shin, Y. (1999), “An autoregressive distributed lag modelling approach to cointegration analysis”, Econometrics and Economic Theory in 20th Century, The Ragnar Frisch Centennial Symposium, Cambridge University Press, Cambridge

Shin Y., Yu B., & Greenwood-Nimmo M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. (pp. 281–314). Springer, New York, NY.

Yiew, T. H., & Lau, E. (2018). Does foreign aid contribute to or impeded economic growth. Journal of International Studies, 11(3), 21-30.