ANALYSIS OF EFFECT OF MACROECONOMIC VARIABLES ON NON-PERFORMING LOANS IN SUBSAHARAN AFRICA

著者

  • Ernest Njiru Mwaniki Department of Economics, Maasai Mara University, Narok, Kenya orcid.org/0009-0005-9153-7210
  • Benedict Troon Lecturer, PhD, Department of Economics, Maasai Mara University, Narok, Kenya orcid.org/0000-0002-3226-7821
  • Christopher Maokomba MPhil. Economics, Lecturer, Department of Economics, Maasai Mara University, Narok, Kenya orcid.org/0009-0004-3150-6386

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https://doi.org/10.46827/ke28bf96

要旨

The average non-performing loans (NPLs) ratio in Sub-Saharan Africa (SSA) is more than 10%, almost double the prudential benchmark limit of 5%. Sustainable Development Goal 8.10 is under threat, and the current situation is jeopardizing bank solvency and access to credit. But the ratios of non-performing loans vary greatly across economies. Existing evidence mainly consists of single-country studies, pooled estimators that apply common slopes, and models that overlook the fiscal channel. This study examines the long-term effects of inflation, the bank lending rate, and tax revenue (as a percentage of GDP) on NPLs in Angola, Botswana, Kenya, and Nigeria, while also comparing the specific adjustment dynamics of each country. A panel autoregressive distributed lag error-correction model is used to analyse 56 observations of annual World Bank data from 2010 to 2023. Panel unit-root tests classify NPLs, the lending rate and tax revenue as I(1) and inflation as I(0). The Hausman test (χ² = 2.042, p = .564) does not reject long-run homogeneity, favoring the pooled mean group (PMG) estimator over the mean group estimator. Groupwise heteroskedasticity in the baseline PMG model is corrected by feasible generalized least squares re-estimation, after which all diagnostic tests are satisfied. In the final model, a one-percentage-point rise in the lending rate is associated with a 1.565-point rise in NPLs (p = .005) and in inflation with a 0.362-point rise (p = .046), whereas a one-point increase in tax revenue to GDP is associated with a 1.268-point fall (p = .035). Adjustment speeds differ markedly: Angola (−0.847) and Nigeria (−0.642) correct disequilibria rapidly, while adjustment in Kenya (−0.037) and Botswana (0.000) is negligible. The Central banks and financial institutions in these countries should strengthen inflation-targeting frameworks and increase foreign exchange reserve buffers; banks should increase forward-looking loan-loss provisions, stress-test loan portfolios, and expand fixed-rate and hybrid-rate lending products; and finance ministries should prioritize broadening the domestic tax base and diversifying government revenue away from oil-related revenue.

 

JEL: G21, E31, E43, H20, C23, O55

 

Keywords: non-performing loans, inflation, lending interest rates, tax revenue, Sub-Saharan Africa, macroeconomic variables, Pooled Mean Group (PMG)

著者略歴

  • Ernest Njiru Mwaniki、 Department of Economics, Maasai Mara University, Narok, Kenya orcid.org/0009-0005-9153-7210

    I am Ernest Njiru Mwaniki, a Research and Product Development professional and credit analyst with ten years of experience in banking, finance, marketing, credit analysis and management. I am a graduating MSc student in Economic Policy Analysis and Management at Maasai Mara University, Kenya. My research interests are financial economics, economic development, macroeconomics, economic policy, and innovative financial product development. My research focuses on the effect of macroeconomic variables on non-performing loans in Sub-Saharan Africa. Through my research and professional practice, I seek to contribute to knowledge on evidence-based credit and macroeconomic policies that improve loan quality, strengthen financial institutions and widen access to finance.

    ORCID: https://orcid.org/0009-0005-9153-7210

  • Benedict Troon、 Lecturer, PhD, Department of Economics, Maasai Mara University, Narok, Kenya orcid.org/0000-0002-3226-7821

    Dr. Benedict Troon is a Lecturer in the Department of Economics at Maasai Mara University, Kenya. He joined the university in 2019 as a Part-Time Lecturer in the Department of Economics and Business, served as a Tutorial Fellow in Economics from 2021 to 2024, and has been a Lecturer in the Department of Economics since May 2024. His research interests include statistical applications, econometric modelling, economic analysis, and statistical theory and design. His expertise spans statistics, research, data analysis and data management, and he is committed to accuracy, professionalism and collaboration in his work.

    ORCID: https://orcid.org/0000-0002-3226-7821

    ResearchGate: https://www.researchgate.net/profile/Benedict-Troon-3

    Google Scholar: https://scholar.google.com/citations?user=6IgPaMQAAAAJ&hl=en

  • Christopher Maokomba、 MPhil. Economics, Lecturer, Department of Economics, Maasai Mara University, Narok, Kenya orcid.org/0009-0004-3150-6386

    Christopher Ochieng Maokomba is a Lecturer in Economics at Maasai Mara University, Kenya, where he has taught since 2013. He holds a Master of Philosophy in Economics from Moi University (2010). His work spans teaching, economic analysis and research, with interests in public finance and fiscal policy, monetary economics, and macroeconomic trends. His academic background and professional experience give him a foundation for examining economic policy and financial sector performance, particularly in developing economies.

    ORCID: https://orcid.org/0009-0004-3150-6386

    ResearchGate: https://www.researchgate.net/profile/Christopher-Maokomba

参考文献

Aliyu, A. A. (2023). Macroeconomic variables and non-performing loans of banks in Nigeria. Review of Business and Economics Studies, 11(3), 27–38. https://doi.org/10.26794/2308-944X-2023-11-3-27-38

Al Zyood, M. M. (2022). Impact of non-performing loans on Saudi bank profitability. International Journal of Economics and Finance Studies, 2(2), 1–7. https://doi.org/10.54105/ijef.D2521.111422

Asemota, G. A., Erhi, M. A., & Ihensekhien, O. (2023). Do commercial banks’ non-performing loans respond to environmental, financial and economic influences in the Sub-Saharan region of Africa? Acta Universitatis Danubius. Œconomica, 19(2), 269–288. Retrieved from Danubius International University.

Banke, G. K., & Yitayaw, M. K. (2022). Deposit mobilization and its determinants: Evidence from commercial banks in Ethiopia. Future Business Journal, 8(1), 1–13. https://doi.org/10.1186/s43093-022-00122-8

Bernanke, B., & Gertler, M. (1989). Agency costs, net worth, and business fluctuations. American Economic Review, 79(1), 14-31. Retrieved from University of Toronto.

Bernanke, B. S., Gertler, M., & Gilchrist, S. (1999). The financial accelerator in a quantitative business cycle framework. In J. B. Taylor & M. Woodford (Eds.), Handbook of macroeconomics (Vol. 1, pp. 1341-1393). Elsevier. https://doi.org/10.3386/w6455

Bank of Ghana. (2025). Monetary policy report: Monetary Policy Committee press briefing, January 2025. Bank of Ghana.

Bank of Tanzania. (2025). Financial stability report: December 2024. Bank of Tanzania.

Basel, B., Barros Diniz, F., & Vieira Costa, J. (2022). The impact of central bank interventions on non-performing loans under the COVID-19 pandemic: The United Kingdom and Brazilian case study. In Proceedings of the 11th Biennial IFC Conference on Post-pandemic landscape for central bank statistics. Retrieved from bis.org.

Bernanke, B. S., Gertler, M., & Gilchrist, S. (1999). The financial accelerator in a quantitative business cycle framework. In J. B. Taylor & M. Woodford (Eds.), Handbook of macroeconomics (Vol. 1, pp. 1341–1393). Elsevier. Retrieved from National Bureau of Economic Research.

Central Bank of Kenya. (2026, February 10). Monetary Policy Committee press release: Meeting of February 10, 2026. Central Bank of Kenya.

Central Bank of Kenya. (2021). 2020 survey report on MSME access to bank credit. Retrieved from Central Bank of Kenya.

Duruechi, A. H., Chigbu, S. U., & Ukpong, U. M. (2022). Central Bank of Nigeria regulatory policies and non-performing loans in the Nigerian banking industry. IIARD International Journal of Banking and Finance Research, 8(4), 1–19. https://doi.org/10.56201/ijbfr.v8.no4.2022.pg1.19

Dymski, G. A. (1988). A Keynesian theory of bank behavior. Journal of Post Keynesian Economics, 10(4), 499-526. https://doi.org/10.1080/01603477.1988.11489704

Eyraud, L., Bunda, I., Jack, J., Jardak, T., Ouedraogo, R., Wang, Z., & Wezel, T. (2021). Resolving nonperforming loans in Sub-Saharan Africa in the aftermath of the COVID-19 crisis (IMF Departmental Paper No. 2021/014). International Monetary Fund. https://doi.org/10.5089/9781513576510.087

FinRegLab. (2024). Alternative data and market dynamics in MSE lending in Kenya. Retrieved from finreglab.org.

Fisher, I. (1933). The debt-deflation theory of great depressions. Econometrica, 1(4), 337-357. https://doi.org/10.2307/1907327

International Monetary Fund. (2021). Global financial stability report: Preempting a legacy of vulnerabilities. Retrieved from International Monetary Fund.

International Monetary Fund. (2021). Resolving nonperforming loans in Sub-Saharan Africa in the aftermath of the COVID-19 crisis (Departmental Paper No. 2021/014). Retrieved from International Monetary Fund.

International Monetary Fund. (2024). Key banking system risks in the WAEMU. IMF Selected Issues Papers, 2024(014). https://doi.org/10.5089/9798400275142.018.A001

International Monetary Fund. (2024). Kenya: Seventh and Eighth reviews under the Extended Fund Facility and Extended Credit Facility arrangements, requests for reduction of access under the Extended Fund Facility arrangement, augmentation of access under the Extended Credit Facility arrangement, and requests for rephasing of access under the arrangements, modifications of performance criteria, waiver of nonobservance of performance criteria, and review under the Resilience and Sustainability Facility arrangement (IMF Country Report No. 24/316). Retrieved from International Monetary Fund.

International Monetary Fund. (2025a). Central African Economic and Monetary Community (CEMAC): Press release; staff report; and statement by the Executive Director. IMF Staff Country Reports, 2025(064). https://doi.org/10.5089/9798229003711.002

International Monetary Fund. (2025b). Niger: Seventh review under the Extended Credit Facility arrangement, requests for a waiver of nonobservance of performance criterion, extension and rephasing of the arrangement, and third review under the Resilience and Sustainability Facility. IMF Staff Country Reports, 2025(200). https://doi.org/10.5089/9798229018029.002.A002

International Monetary Fund. (2026). West African Economic and Monetary Union: Staff report for the 2026 discussions on common policies of member countries. IMF Staff Country Reports, 2026(154). https://doi.org/10.5089/9798229049160.002.A001

Kalu, E. U., Arize, A. C., Malindretos, J., Awa, K. I., & Eze, C. G. (2021). Linear and asymmetric analyses of macro-economic and bank-specific determinants of non-performing loans in West African Monetary Zone (WAMZ). World Review of Entrepreneurship, Management and Sustainable Development, 17(5), 670–691. Retrieved from IDEAS/RePEc.

Keynes, J. M. (1936). The general theory of employment, interest and money. Macmillan. Retrieved from files.ethz.ch.

Khan, F., Ali, S., Hossain, N., & Bairagi, M. (2023). Determinants of non-performing loans in conventional and Islamic banks: Emerging market evidence. Modern Finance, 1(1), 56–69. https://doi.org/10.61351/mf.v1i1.27

Kigamwa, J., & Mutwiri, N. (2023). Macroeconomic factors and non-performing loans in the Kenyan banking industry. International Academic Journal of Economics and Finance, 3(8), 279–291. Retrieved from Kenyatta University.

Krasniqi-Pervetica, A., & Ahmeti, S. (2022). The effect of macroeconomic indicators on non-performing loans: The case of Balkan countries. International Journal of Applied Economics, Finance and Accounting, 14(1), 42–49. https://doi.org/10.33094/ijaefa.v14i1.647

Leleok, L., & Makori, D. (2024). Effect of inflation on non-performing loans of non-listed commercial banks in Kenya. Strategic Journal of Business & Change Management, 11(4). https://doi.org/10.61426/sjbcm.v11i4.3135

Lin, Y., Li, O., & Kang, Y. (2021). Tax incidence in loan pricing. Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3953158

Merton, R. C. (1974). On the pricing of corporate debt: The risk structure of interest rates. The Journal of Finance, 29(2), 449–470. https://doi.org/10.1111/j.1540-6261.1974.tb03058.x

Mpofu, T. R., & Nikolaidou, E. (2019). Macroeconomic and bank-specific determinants of non-performing loans in sub-Saharan Africa (Macroeconomic Discussion Paper No. 2019-02). School of Economics, University of Cape Town. Retrieved from IDEAS/RePEc.

Musimbi, D., Njaramba, J., & Maingi, J. (2023). Central bank rate pass-through effects on Kenya’s lending rate. Research Journal of Business and Finance, 2(2), 34–43. https://doi.org/10.58721/rjbf.v2i2.341

Nigeria Bureau of Statistics. Retrieved from National Bureau of Statistics, Nigeria.

Oganda, J., Mugwambo, V., Otieno, A., & Otieno, A. (2019). Effect of non-performing loans on performance of commercial banks in Kenya: A comparative study between National Bank Kenya Limited and Equity Bank Kenya Limited. Strategic Journal of Business & Change Management, 8(4). https://doi.org/10.61426/sjbcm.v6i2.1280

Özen, E., Hodžić, S., & Yildirim, A. (2022). The linkage between fiscal policy and non-performing household loans in Turkey. South East European Journal of Economics and Business, 17(2), 113–124. https://doi.org/10.2478/jeb-2022-0018

Paul, M. (2022). The determinants of non-performing loans: Evidence from African banking systems [Master’s dissertation, University of Cape Town]. Retrieved from hdl.handle.net.

Pesaran, M. H., & Smith, R. (1995). Estimating long-run relationships from dynamic heterogeneous panels. Journal of Econometrics, 68(1), 79–113. https://doi.org/10.1016/0304-4076(94)01644-F

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. Retrieved from JSTOR.

Ptasica, T. (2019). Modeling the influence of inflation on the level of non-performing loans in Cyprus commercial banks. Technology Audit and Production Reserves, 1(5), 36–38. https://doi.org/10.15587/2312-8372.2019.163288

Robert, E., & Koori, J. (2022). Bank lending rates and non-performing loans of commercial banks in Kenya. International Journal of Business Management & Finance 7(9). Retrieved from Kenyatta University.

Sacerdoti, E. (2005). Access to bank credit in Sub-Saharan Africa: Key issues and reform strategies (IMF Working Paper No. 05/166). International Monetary Fund. https://doi.org/10.5089/9781451861853.001

Stiglitz, J. E., & Weiss, A. (1981). Credit rationing in markets with imperfect information. American Economic Review, 71(3), 393-410. Retrieved from JSTOR.

Tham, K. W., Said, R., & Adnan, Y. (2021). The dynamic relationship between inflation and non-performing property loans in Malaysia. Journal of Surveying, Construction & Property, 12(1), 36–44. https://doi.org/10.22452/jscp.vol12no1.4

World Bank. (2020). Bank non-performing loans to gross loans for Uganda. Retrieved from World Bank.

World Bank. (2021). Global financial development database. Retrieved from World Bank.

World Bank. (2022a). World Bank open data. Retrieved from World Bank.

World Bank. (2022b). World Bank open data: Non-performing loans (% of gross loans). Retrieved from World Bank.

World Bank. (2023). World Bank Group. Retrieved from World Bank.

World Bank. (2024). Kenya economic development overview. Retrieved from World Bank.

World Bank. (2024). Nigeria development update: Staying the course—Progress amid pressing challenges. World Bank. Retrieved from World Bank.

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発行日

2026-10-29

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