COVID-19, mesures de liquidité et offre de crédit dans l’UEMOA

Auteurs

DOI :

https://doi.org/10.18559/rielf.2024.2.2009

Mots-clés :

COVID-19, crédits bancaires, injection de liquidité, UEMOA, BCEAO

Résumé

Objectif : Cet article vise à analyser l’effet de la pandémie de COVID-19 sur la dynamique de l’offre de crédits bancaires dans les pays de l’UEMOA.

Conception/méthodologie/approche : Sur la base des données de panel mensuelles de la
BCEAO, nous avons fait une analyse en Pooled Means Group (PMG) et vérifié la robustesse
des résultats avec le FMOLS et le DOLS.

Résultats : Des résultats de nos analyses statistiques et économétriques il ressort que la COVID-19 a un effet significativement négatif sur l’offre de crédit bancaire à long terme dans chacun des pays de l’UEMOA. Par ailleurs, l’injection de liquidités effectuée par la BCEAO, associée aux modalités favorables des taux débiteurs et créditeurs, a permis à certaines économies de l’union de faire preuve de résilience face à la crise sanitaire.
Les résultats suggèrent à la BCEAO de maintenir et de renforcer sa politique d’aisance monétaire, compte tenu de la persistance et des multiplicités des vagues de la pandémie. De plus, elle doit garder le cap sur sa politique de ciblage d’inflation qui est très cruciale
pour la stabilité des prix et la croissance des économies de l’UEMOA.

Originalité/valeur : Cet étude utilise les données mensuelles permettant de ressortir les composantes cycliques tout en évaluant les effets de court et de long terme de la pandémie sur la dynamique de l’offre de crédit bancaire dans chaque pays de l’UEMOA.

JEL Classification

Time-Series Models • Dynamic Quantile Regressions • Dynamic Treatment Effect Models • Diffusion Processes (C22)
Insurance • Insurance Companies • Actuarial Studies (G22)
Africa (O55)

Téléchargements

Les données relatives au téléchargement ne sont pas encore disponibles.

Références

Acharya, V. V., & Steffen, S. (2020). The risk of being a fallen angel and the corporate dash for cash in the midst of COVID. The Review of Corporate Finance Studies, 9(3), 430–471.
View in Google Scholar

Aldasoro, I., Fender, I., Hardy, B., & Tarashev, N. (2020). Effects of COVID-19 on the banking sector: The market’s assessment. BIS Bulletin, 12.
View in Google Scholar

Ashworth, J., & Goodhart, C. (2020). Coronavirus panic fuels a surge in cash demand. CEPR Discussion Paper, 14910. https://ssrn.com/abstract=3638014
View in Google Scholar

Baldwin, R., & di Mauro, B. W. (2020). Economics in the time of COVID-19. CEPR Press.
View in Google Scholar

BCEAO. (2020a). Communiqué de presse sur les mesures de la BCEAO pour faire face à la pandémie de COVID-19. Banque Centrale des États de l’Afrique de l’Ouest.
View in Google Scholar

BCEAO. (2020b). Rapport annuel de la BCEAO 2020. Banque Centrale des États de l’Af- rique de l’Ouest.
View in Google Scholar

BCEAO. (2021). Perspectives économiques et monétaires de la zone UEMOA post-COVID-19. Banque Centrale des États de l’Afrique de l’Ouest.
View in Google Scholar

Beck, T. ( 2020). Finance in times of COVID-19: What next? In R. Baldwin & B. W. di Mauro (Eds.), Mitigating the COVID Economic Crisis: Act fast and do whatever it takes. CEPR Press.
View in Google Scholar

Becker, B., & Ivashina, V. (2014). Cyclicality of credit supply: Firm level evidence. Journal of Monetary Economics, 62, 76–93.
View in Google Scholar

Bénassy-Quéré, A., Boot, A., Fatás, A., Fratzscher, M., Fuest, C., Giavazzi, F., Marimon, R., Martin, P., Pisani-Ferry, J., Reichlin, L., Schoenmaker, D., Teles, P., & di Mauro, B. W. (2020). A proposal for a COVID credit line. VoxEU CEPR Offices. https://voxeu.org/article/proposal-covid-credit-line
View in Google Scholar

Boot, A., Carletti, E., Haselmann, R., Kotz, H., Krahnen,J., Pelizzon, L., Schaefer, S., & Subrahmanyam, M. G. (2020). The coronavirus and financial stability. SAFE Policy Letter, 78. Calvo, C., & Dercon, S. (2005). Measuring individual vulnerability. Department of Economics Discussion Paper Series, 229. https://www.researchgate.net/publication/5218283_Measuring_Individual_Vulnerability
View in Google Scholar

Candelon, B., & Moura, R. (2023). Sovereign yield curves and the COVID-19 in emerging markets. Economic Modelling, 127, 106453.
View in Google Scholar

Carpenter, S., Demiralp, S., Ihrig, J., & Klee, E. (2015). Analyzing Federal Reserve asset purchases: From whom does the FED buy? Journal of Banking and Finance, 52, 230–244.
View in Google Scholar

CGAP. (2020). Microfinance and COVID-19: Principles for regulatory response. Insights for Inclusive Finance.
View in Google Scholar

Cornett, M. M., McNutt, J. J., Strahan, P. E., & Tehranian, H. (2011). Liquidity risk management and credit supply in the financial crisis. Journal of Financial Economics, 101(2), 297–312.
View in Google Scholar

Cortina, J. J., Didier, T., & Schmukler, S. (2020). Global corporate debt during crises: Implications of switching borrowing across markets. Journal of International Economics, 131, 103487. https://doi.org/10.1016/j.jinteco.2021.103487
View in Google Scholar

Cunliffe, J. (2020). Financial system resilience: Lessons from a real stress. https://www.bankofengland.co.uk/speech/2020/jon-cunliffe-speech-at-investment-association
View in Google Scholar

Dercon, S. (2005). Risk, poverty and vulnerability in Africa. Journal of African Economics, 14(4), 483–488.
View in Google Scholar

Drehmann, M., Farag, M., Tarashev, N., & Tsatsaronis, K. (2020, April 24). Buffering COVID-19 losses—the role of prudential policy. BIS Bulletin, 9. https://www.bis.org/publ/bisbull09.pdf
View in Google Scholar

Elenev, V., Quintero, L., Rebucci, A., & Simeonova, E. (2020). Staggered health policy adoption: Spillover effects and their implications. Management Science (in print). https://doi.org/10.1287/mnsc.2023.01033
View in Google Scholar

Eser, F., & Schwaab, B. (2016). Evaluating the impact of unconventional monetary policy measures: Empirical evidence from the ECB’s Securities Markets Programme. Journal of Financial Economics, 119(1), 147–167.
View in Google Scholar

Greenwald, D. L., Krainer, J., & Paul, P. (2020). The credit line channel. Working Paper Series, 26. https://doi.org/10.24148/wp2020-26
View in Google Scholar

Hamermesh, D. S. i Pfann, G. A. (1996). Adjustment costs in factor demand. Journal of Economic Literature, 34(3), 1264–1292.
View in Google Scholar

Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1272. https://doi.org/10.2307/1913827
View in Google Scholar

IMF. (2020). Policy responses to COVID-19. https://www.imf.org/en/Topics/imf-and-covid19/Policy-Responses-to-COVID-19
View in Google Scholar

IMF. (2021). West African Economic and Monetary Union: Selected issues. IMF Staff Reports. https://www.elibrary.imf.org/view/journals/002/2021/050/article-A001-en.xml
View in Google Scholar

Im, K. S., Pesaran, M. H., & Shin, Y. (2003) Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115, 53–74.
View in Google Scholar

Kaftan, V., Kandalov, W., Molodtsov, I., Sherstobitova, A., & Strielkowski, W. (2023). Socio-economic stability and sustainable development in the post-COVID era: Lessons for the business and economic leaders. Sustainability, 15(4), 2876.
View in Google Scholar

Kahn, C., & Wagner, W. (2020). Liquidity provision during a pandemic. Journal of Banking & Finance, 133, 106152. https://doi.org/10.1016/j.jbankfin.2021.106152
View in Google Scholar

Koetter, M. (2020). Lending effects of the ECB’s asset purchases. Journal of Monetary Economics, 116, 39–52.
View in Google Scholar

Krishnamurthy, A., Nagel, S., & Vissing-Jorgensen, A. (2018). ECB policies involving government bond purchases: Impact and channels. Review of Finance, 22(1), 1–44.
View in Google Scholar

Krueger, D., Mitman, K., & Perri, F. (2016). Macroeconomics and household heterogeneity. In J. B. Taylor & H. Uhlig (Eds.), Handbook of macroeconomics (vol. 2, pp. 843–921). Elsevier. https://doi.org/10.1016/bs.hesmac.2016.04.003
View in Google Scholar

Lagoarde-Segot, T., & Leoni, P. L. (2013). Pandemics of the poor and banking stability. Journal of Banking & Finance, 37(11), 4574–4583.
View in Google Scholar

Lelissa, T. (2020). The impact of COVID-19 on the Ethiopian private banking system. https://doi.org/10.2139/ssrn.3624944
View in Google Scholar

Levin, A., Lin, C. F., & Chu, C.S.J. (2002). Unit root tests in panel data: Asymptotic and finite sample properties. Journal of Econometrics, 108, 1–24.
View in Google Scholar

Li, L., Li, Y., Macchiavelli, M., & Zhou, X. (2020). Liquidity restrictions, runs and interventions in the time of COVID-19: Evidence from money funds. https://doi.org/10.2139/ssrn.3607593
View in Google Scholar

Neely, C. J. (2015). Unconventional monetary policy had large international effects. Journal of Banking and Finance, 52, 101–111.
View in Google Scholar

Nelson, C. R., & Plosser, C. R. (1982). Trends and random walks in macroeconomic time series: Some evidence and implications. Journal of Monetary Economics, 10(2), 139–162.
View in Google Scholar

Ozili, P. K. (2020). Financial inclusion and Fintech during COVID-19 crisis: Policy solutions. The Company Lawyer Journal, 8. https://doi.org/10.2139/ssrn.3585662
View in Google Scholar

Pesaran, H. (1997). The role of econometric theory in modelling the long run. Economic Journal, 107(440), 178–191.
View in Google Scholar

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

Pesaran, H., & Smith, R. (1995). Estimating long-run relationships from dynamic heterogeneous panels. Journal of Econometrics, 68(1), 79–113.
View in Google Scholar

Saez, E., & Zucman, G. (2020). Keeping business alive: The government as buyer of last resort. Economists for Inclusive Prosperity Policy Brief.
View in Google Scholar

Santos, J. A., & Viswanathan, S. V. (2020). Bank syndicates and liquidity provision. NBER Working Paper, w27701.
View in Google Scholar

Segura, A., & Villacorta, A. (2020). Policies to support firms in a lockdown: A pecking order. Covid Economics, 25, 90–121. covideconomics25.pdf#page=95
View in Google Scholar

Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and Statistics, 69(6), 709–748.
View in Google Scholar

World Bank. (2020, April). Assessing the economic impact of COVID-19 and policy responses in sub-Saharan Africa. Africa’s Pulse, 21. api.developmentaid.org/api/frontend/cms/file/2020/04/9781464815683.pdf
View in Google Scholar

World Bank. (2021, October). Climate change adaptation and economic transformation in sub-Saharan Africa. Africa’s Pulse, 24. https://doi.org/10.1596/978-1-4648-1805-9
View in Google Scholar

Zigrand, J. P., Macrae, R., Vayanos, D., & Danielsson, J. (2020). The coronavirus crisis is no 2008. VoxEU CEPR Offices. https://cepr.org/voxeu/columns/coronavirus-crisis-no-2008
View in Google Scholar

Téléchargements

Publiée

2025-02-05

Numéro

Rubrique

Article scientifique

Comment citer

Kolotioloman, S. (2025). COVID-19, mesures de liquidité et offre de crédit dans l’UEMOA. La Revue Internationale Des Économistes De Langue Française, 9(2). https://doi.org/10.18559/rielf.2024.2.2009

Articles similaires

11-20 sur 195

Vous pouvez également Lancer une recherche avancée de similarité pour cet article.