<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
<channel>
<title>Agricultural Economics</title>
<link>http://ir.haramaya.edu.et//hru/handle/123456789/158</link>
<description/>
<pubDate>Fri, 22 May 2026 19:25:53 GMT</pubDate>
<dc:date>2026-05-22T19:25:53Z</dc:date>
<item>
<title>DETERMINANTS OF BANK AGRICULTURE CREDIT AND ITS EFFECT ON POVERTY, INCOME INEQUALITY, UNEMPLOYMENT AND ECONOMIC GROWTH IN ETHIOPIA</title>
<link>http://ir.haramaya.edu.et//hru/handle/123456789/8407</link>
<description>DETERMINANTS OF BANK AGRICULTURE CREDIT AND ITS EFFECT ON POVERTY, INCOME INEQUALITY, UNEMPLOYMENT AND ECONOMIC GROWTH IN ETHIOPIA
Abel Mesfin Girma; Professor Abdi Khalil Edriss; Dr Kedir Jemal; Dr Alemu Lambamo
Harshly, the problem of poverty and income inequality overwhelmed a tremendous portion of&#13;
populations across developing countries like Ethiopia and remains one of the economic curses&#13;
posing catastrophic consequences on society’s economic as well as social wellbeing. Hence, this&#13;
study investigated the effects of extending bank agriculture credit on poverty level and income&#13;
inequality in Ethiopia. The study used unbalanced panel data from 2000 to 2021 collected from 11&#13;
regional states in Ethiopia. Additionally, the study determined the effects of bank agriculture credit&#13;
on unemployment and GDP per capita in Ethiopia using time series data from 1990 to 2021.&#13;
Moreover, the study identified the main determinants of bank agriculture credit volume injected by&#13;
commercial banks in Ethiopia using panel data from 2010 to 2021. While figuring out the&#13;
relationship between bank agriculture credit and poverty level and income inequality; the study&#13;
adopted Panel Corrected Standard Error (PCSE) basing its robust feature on effectively controlling&#13;
spatial correlation, heteroscedasticity, and cross-sectional dependence in panel data setting. The&#13;
time series analysis is conducted using the Auto-Regressive Distributed Lag model (ARDL).&#13;
Additionally, the Augmented mean group (AMG) model is adopted based on the panel data setting&#13;
to figure out determinants of bank agriculture volume of commercial banks in Ethiopia. The result&#13;
from mean difference test reveals that, from the total banks outstanding loan only 14% goes to&#13;
agriculture while 61% and 25% is granted to service and industry sectors respectively. The&#13;
regression result also reveals that bank agriculture credit has a significant and negative effect on&#13;
poverty level, income inequality, and unemployment and has a positive and significant effect on&#13;
GDP per capita in Ethiopia. Finally, bank-specific and macroeconomic factors such as deposit volume, return on assets, branch network, and economic growth positively and significantly&#13;
determine the volume of bank agriculture credit provided by commercial banks while interest rate&#13;
spread, climate change and inflation negatively and significantly determine the credit volume.&#13;
Therefore, renovating the credit distribution aimed at directing the magnitude towards the&#13;
agriculture sector is vital to flourishing the society’s economic well-being
221p.
</description>
<pubDate>Tue, 01 Apr 2025 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://ir.haramaya.edu.et//hru/handle/123456789/8407</guid>
<dc:date>2025-04-01T00:00:00Z</dc:date>
</item>
<item>
<title>DETERMINANTS OF ADOPTION OF IMPROVED POTATO VARIETIES: THE CASE OF KERSA DISTRICT, OROMIA NATIONAL REGIONAL STATE, ETHIOPIA</title>
<link>http://ir.haramaya.edu.et//hru/handle/123456789/8375</link>
<description>DETERMINANTS OF ADOPTION OF IMPROVED POTATO VARIETIES: THE CASE OF KERSA DISTRICT, OROMIA NATIONAL REGIONAL STATE, ETHIOPIA
Abdulselam Ahmed; (Assist. Prof) Saleamlak Fentaw; Assi. Prof) Kumilachew Alamerie
This study focuses on the determinants of adoption of improved potato varieties in Kersa district,&#13;
Oromia National Region State, Ethiopia. Specifically, this study was initiated to analyze factors&#13;
influencing adoption of improved potato varieties and to determine the intensity of adoption of&#13;
improved potato varieties using cross-sectional data. The data were collected from 200 sample&#13;
households using multistage sampling procedure. The data were analyzed using descriptive&#13;
statistics and econometric model. The finding showed that 127 were adopters of improved potato&#13;
varieties while the remaining 73 were non-adopters. The results of the first hurdle indicated that&#13;
education level, farm income, access to irrigation, access to extension services and lnon-farm&#13;
income were positively and significantly influenced the adoption of improved potato varieties. In&#13;
the second hurdle model, lnFarm income, access to irrigation, non-farm income and&#13;
memberships to agricultural cooperatives have positively and significantly influenced the&#13;
intensity of adoption of improved potato varieties. This study concludes that socio-economic and&#13;
institutional factors play vital role in determining the improved potato varieties adoption and&#13;
intensity of adoption in the study area. Therefore, paying close attention to those significant&#13;
variables that enhance adoption and intensity of adoption of improved potato varieties so as to&#13;
increases production and productivity of farmers is vital in the study area
87p.
</description>
<pubDate>Sat, 01 Feb 2025 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://ir.haramaya.edu.et//hru/handle/123456789/8375</guid>
<dc:date>2025-02-01T00:00:00Z</dc:date>
</item>
<item>
<title>DETERMINANTS OF YOUTH PARTICIPATION IN SMALL AND MICRO AGRICULTURAL ENTERPRISES AND ITS IMPACT ON INCOME AND EMPLOYMENT CREATION IN MAYA CITY, OROMIA, ETHIOPIA</title>
<link>http://ir.haramaya.edu.et//hru/handle/123456789/8336</link>
<description>DETERMINANTS OF YOUTH PARTICIPATION IN SMALL AND MICRO AGRICULTURAL ENTERPRISES AND ITS IMPACT ON INCOME AND EMPLOYMENT CREATION IN MAYA CITY, OROMIA, ETHIOPIA
Rekiku Yohannes Gisme; Dr.Fresenbet Zeleke (PhD); Dr. Beyan Ahmed (PhD)
53
</description>
<pubDate>Wed, 01 May 2024 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://ir.haramaya.edu.et//hru/handle/123456789/8336</guid>
<dc:date>2024-05-01T00:00:00Z</dc:date>
</item>
<item>
<title>VALUE CHAIN ANALYSIS OF POTATO: THE CASE OF KERSA DISTRICT, OROMIA NATIONAL REGIONAL STATE OF ETHIOPIA</title>
<link>http://ir.haramaya.edu.et//hru/handle/123456789/8298</link>
<description>VALUE CHAIN ANALYSIS OF POTATO: THE CASE OF KERSA DISTRICT, OROMIA NATIONAL REGIONAL STATE OF ETHIOPIA
Abduselam Abdella; (PhD)  Aemro Tazeze; (PhD) Kedir Jamal
Potato crop is important for its contribution to food security and as income support to a large proportion of the rural households. However, enhancing potato farmers to reach markets and actively engage in potato value chain is a key chain needed in the study area. The study aims to analyze the potato value chain, identify actors and their roles, analyze market structure and performance, and identify opportunities and constraints using cross-sectional data. It uses primary and secondary data, with a two-stage random sampling method to select potato producers and traders. Data analysis includes descriptive statistics and econometric models that were Heckman two-step model for analysis. The study presents the demographic and socio-economic characteristics of potato producers, traders, and consumers. In this study the main actors include input suppliers, producers, collectors, wholesalers, retailers, processors, and consumers. The value chain map illustrates the flow of potatoes from input suppliers to final consumers. The potato market in Kersa District is characterized by a weak oligopoly with imperfect competition. Market performance is evaluated through marketing costs and margins. Factors influencing market participation include distance to the nearest market, livestock ownership, access to market information, use of inorganic fertilizer, soil fertility, crop rotation, and plot distance. Additionally, Factors affecting the volume of potato sales include farming experience, frequency of extension contacts, land allocated for potato production, use of inorganic fertilizer, cooperative membership, crop rotation, soil fertility, and plot distance. Moreover, the study identifies production and marketing constraints, such as land shortages, high input costs, and market access issues. It also highlights opportunities like government support, infrastructure improvements, and market demand. Finally, this study recommends strengthening extension services and supporting cooperative formation to improve potato production and marketing in the study area.
122p.
</description>
<pubDate>Sun, 01 Dec 2024 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://ir.haramaya.edu.et//hru/handle/123456789/8298</guid>
<dc:date>2024-12-01T00:00:00Z</dc:date>
</item>
</channel>
</rss>
