Does Bank Agricultural Credit Reduce Poverty Level and Income Inequality in Ethiopia: Panel Corrected Standard Errors (PCSE) Approach
School of Agricultural Economics and Agri-Business, Haramaya University, Haramaya P.O. Box 138, Ethiopia
Abdi-Khalil Edriss
Department of Agricultural and Applied Economics and African Centre of Excellence, Agriculture Policy Analysis, LUANARO. Box 219, Malawi
Kedir Jemal
School of Agricultural Economics and Agri-Business, Haramaya University, Haramaya P.O. Box 138, Ethiopia
Alemu Lambamo
Department of Economics, Addis Ababa University, Addis AbabaO. Box 166, Ethiopia
DOI: https://doi.org/10.36956/rwae.v6i1.1414
Received: 21 October 2024 | Revised: 18 November 2024 | Accepted: 20 November 2024 | Published Online: 26 December 2024
Copyright © 2024 Abel Mesfin Girma, Abdi-Khalil Edriss, Kedir Jemal, Alemu Lambamo. Published by Nan Yang Academy of Sciences Pte. Ltd.
This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.
Abstract
Harshly, the problem of poverty and income inequality overwhelmed a significant portion of the world’s population and remained one of the economic curses posing catastrophic consequences on society’s economic as well as social well-being. Hence, this study investigated the effects of extending bank agricultural credit on Ethiopia’s poverty level and income inequality. The study used unbalanced panel data from 2000 to 2021 collected from all 11 regional states in Ethiopia. The study also included other macroeconomic variables that affect poverty and income inequality to avoid the variable omission problem. When analyzing the relationship between agricultural credit granted by banks and poverty level and income inequality, the study adopted the Panel Corrected Standard Error (PCSE) method basing its robust feature on effectively controlling spatial correlation, heteroscedasticity, and cross-sectional dependence in panel data sets. Additionally, pre-estimation tests like cross-sectional dependence, co-integration, and unit root tests were conducted to identify the presence of associated problems. The study reveals that bank agricultural credit has a significant and negative effect on the poverty level in Ethiopia. Moreover, bank agricultural credit has a significant inverse relationship with income inequality. Therefore, renovating the credit distribution aimed at directing the magnitude towards the agricultural sector is vital to flourishing the society’s economic well-being.
Keywords: Agriculture Sector; Credit Distribution; Income Inequality; Poverty Reduction; Panel Corrected Standard Error
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