The impact of African agriculture production on bank stability through bank risk and profit
Jean-Petit Sinamenye ORCID ↗ · Changjun Zheng
International Journal of Research in Business and Social Science · 2022 · Vol. 11 / Issue 10 · 119-139
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Abstract
The African farming sector suffers from insufficient finance. Climate changes and socio-political issues hold down the required production level while food on the continent is still inadequate, with more vulnerable people on the one side. On the other side, credit institutions need reasons and guarantees to raise their risk-taking level (financial benefits). Then, this study tries to conciliate those two sides with new shreds of evidence by demonstrating the short and long-run effects of agricultural production on bank sustainability in 40 Sub-Saharan African countries. The study used different agro-production factors (Food and Cereal production factors), bank stability proxies (Liquidity Ratio, NPLs, LLRs), and bank profitability proxies (ROA and ROE). The GMM, DFE, and FMOLS models were used for short (with the 2010-2019 dataset) and long-run analysis (with the 1970-2018 dataset). The results demonstrated that agricultural production increases bank stability and profitability but reduces bank risks. The study concludes that farming finance increases agro-production and stabilizes banks (win-win). Governments, via central banks, should encourage commercial banks to increase bank risk-taking levels to sustain their banking system, increase farming production, and improve food security.
Keywords: {'name': 'Agriculture, Production, Bank Stability, Risk, Profitability; SSA.'}
Authors & affiliations
Jean-Petit Sinamenye
Affiliation not supplied
Changjun Zheng
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DOI: 10.1177/2158244020979678
DOI: 10.1016/j.intfin.2020.101254
DOI: 10.1080/23322039.2021.2021479
DOI: 10.1111/jifm.12053
DOI: 10.1596/1813-9450-9412
Anthem, P. (2020). Risk of hunger pandemic as coronavirus set to almost double acute hunger by end of 2020. World Food Programme Insight, 16.
Apampa, A., Clubb, C., Cosgrove, B. E., Gambarelli, G., Loth, H., Newman, R., Rodriguez Osuna, V., Oudelaar, J., & Tasse, A. (2021). Scaling up critical finance for sustainable food systems through blended finance.
DOI: 10.2307/2297968
DOI: 10.1108/AJEMS-03-2019-0110
DOI: 10.1007/s10460-022-10348-9
DOI: 10.29258/CAJWR/2022-R1.v8-1/27-48.eng
DOI: 10.1177/1536867X0300300101
DOI: 10.1016/j.jbankfin.2012.09.016
DOI: 10.1017/S136898001500021X
DOI: 10.1080/00220388.2011.625411
DOI: 10.1007/s12571-022-01256-1
DOI: 10.1016/j.gfs.2021.100602
DOI: 10.1080/14735903.2021.1911511
DOI: 10.19030/iber.v12i4.7738
DOI: 10.18052/www.scipress.com/ILSHS.26.92
DOI: 10.1016/j.ehb.2021.101102
DOI: 10.1016/B978-0-12-815859-3.00013-5
DOI: 10.1016/j.worlddev.2020.105250
DOI: 10.1016/j.compag.2019.01.049
DOI: 10.3390/su12083444
DOI: 10.1016/j.rdf.2017.01.006
Garratt, A., Lee, K., Pesaran, M. H., & Shin, Y. (1998). A structural cointegrating VAR approach to macroeconometric modelling. Department of applied economics, University of Cambridge.
DOI: 10.1093/wber/lhw067
DOI: 10.1007/s12571-020-01035-w
DOI: 10.1080/14735903.2020.1817656
DOI: 10.1016/j.irfa.2022.102039
DOI: 10.3390/atmos13020336
DOI: 10.1016/S0304-4076(03)00092-7
DOI: 10.1111/j.1746-1049.2006.00013.x
DOI: 10.1016/j.worlddev.2010.06.002
DOI: 10.1016/j.najef.2022.101714
DOI: 10.1007/s10663-015-9307-1
DOI: 10.1108/AFR-09-2020-0149
DOI: 10.1017/aae.2019.45
DOI: 10.1016/j.gfs.2019.100347
Kloeppinger-Todd, R., & Sharma, M. (2010). Innovations in rural and agriculture finance (Vol. 18). Intl Food Policy Res Inst. https://books.google.com.tr/
DOI: 10.1016/j.ecosys.2016.10.005
DOI: 10.1016/S0304-4076(01)00098-7
DOI: 10.1016/j.jclepro.2021.126763
DOI: 10.1016/j.ribaf.2021.101597
DOI: 10.1016/j.irfa.2022.102065
DOI: 10.1111/joac.12110
DOI: 10.1016/j.tifs.2018.05.002
DOI: 10.1016/j.heliyon.2022.e08968
Meyer, R. L. (2011). Subsidies as an instrument in agriculture finance: A review. http://hdl.handle.net/10986/12696
DOI: 10.1016/j.heliyon.2021.e07102
DOI: 10.1080/14735903.2022.2082764
DOI: 10.1080/14735903.2022.2105008
DOI: 10.1016/j.heliyon.2022.e08960
DOI: 10.1002/ijfe.2156
DOI: 10.1177/1536867X1201200401
DOI: 10.1108/JCMS-12-2021-0038
DOI: 10.1108/JEAS-08-2020-0147
DOI: 10.3390/foods11020135
DOI: 10.1017/S1355770X21000085
DOI: 10.1080/14693062.2021.2023451
DOI: 10.3846/btp.2019.43
DOI: 10.1108/AFR-01-2020-0013
DOI: 10.24925/turjaf.v10i4.549-554.4581
DOI: 10.24925/turjaf.v10i4.549-554.4581
Paul, F., & Lema, A. (2018). The dynamic synergies between agricultural financing and economic growth of Tanzania. African Journal of Economic Review, 6(2), 46–60. https://www.ajol.info/
Pavlov, A., Kindaev, A., Vinnikova, I., & Kuznetsova, E. (2016). Crop insurance as a means of increasing efficiency of agricultural production in Russia. International Journal of Environmental and Science Education, 11(18), 11863–11868. http://www.ijese.net/
DOI: 10.1016/S0165-1765(97)00214-0
DOI: 10.1002/jae.616
DOI: 10.1080/01621459.1999.10474156
DOI: 10.1016/0304-4076(94)01644-F
DOI: 10.1093/biomet/75.2.335
DOI: 10.1016/j.clnu.2021.08.015
DOI: 10.1016/j.jfi.2022.100990
DOI: 10.1016/j.jssas.2017.08.002
DOI: 10.1017/S1074070800028261
DOI: 10.1016/S0304-4076(98)00009-8
DOI: 10.1177/1536867X0900900106
DOI: 10.5897/AJAR10.853
DOI: 10.1017/aae.2021.17
DOI: 10.1007/s11625-022-01171-6
DOI: 10.1016/j.foodpol.2022.102251
DOI: 10.1016/j.kjss.2017.06.001
Shita, A., Kumar, N., & Singh, S. (2018a). Agricultural technolo gy adoption and its determinants in ethiopia: a reviewed paper. Asia Pacific Journal of Research, 1(55), 99–104. https://www.researchgate.net/
DOI: 10.1177/0019466220941418
Shkodra, J., & Shkodra, L. (2018). Impact of agricultural finance in rural areas–case study Kosovo. Bulgarian Journal of Agricultural Science, 24(5), 737–741. https://www.researchgate.net/
DOI: 10.1108/AFR-05-2020-0063
DOI: 10.3390/su13063242
DOI: 10.1017/aae.2022.28
DOI: 10.1257/jep.36.1.33
DOI: 10.1016/S0306-9192(98)00067-0
DOI: 10.1111/agec.12709
DOI: 10.1017/aae.2022.13
DOI: 10.17221/327/2020-PSE
DOI: 10.1080/14631377.2019.1607439
DOI: 10.1016/j.techfore.2018.06.006
DOI: 10.1093/erae/jbac006
DOI: 10.1016/S2095-3119(21)63634-1
DOI: 10.3390/su14031555
DOI: 10.3390/su12010325
DOI: 10.19044/esj.2021.v17n41p130
DOI: 10.47260/jafb/1241