Determinants of Multipurpose Cooperative Member Participation in Agricultural Output Marketing: Kersa District, Jimma Zone, Oromia Region, Ethiopia

Rusha Begna Wakweya
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Abstract

This study assessed determinants of multipurpose cooperatives members’ participation in agricultural output marketing at kersa district of Jimma zone, Oromia Regional State, Ethiopia. A two-stage sampling procedummre was used and 4 multipurpose cooperatives were selected to obtain a sample size of 196 cooperative members. Quantitative and Qualitative data were collected through household survey, key informant interview, focus group discussions and personal observations. Data were analyzed using descriptive statistics like mean, chi-square, standard deviation, frequency, percentage and binary logit model. The result showed that 66.36% of cooperative members were participants in agricultural output marketing where as 33.64% were non-participants. The binary logit model result showed that age, education, landholding, change in standard of living due to joining of cooperative, membership in other cooperatives other than Multipurpose Cooperatives, determined participation decision of members in agricultural output marketing positively and significantly while the other four variables determined negatively and significantly. In general, the agricultural output marketing of multipurpose cooperative members in the study area has been affected by different demographic, socio-economics and institutional factors. Therefore, the study suggested that as Woreda cooperatives promotion agency should also help these cooperatives to increase members’ participation in agricultural inputs as well as outputs and create linkages with financial institutions to solve their shortage of capital. participation in agricultural output marketing. The descriptive statistics and econometric model were also used for analyzing the data. T-test was used to compare the mean values of the continuous explanatory variables and examine the existence of statistically significant differences between participants and non-participants of MPCs members in agricultural output marketing. The T-test showed significant difference in the age, educational level of members, total live stocks hold, land hold and distance of HH members from MPCs office. Discrete variables were also compared using Chi-square test to see if there is statistically significant difference between the two groups. The Chi-square test also revealed that the discrete variables: Change in standard of living due to joining cooperative, membership in other cooperative Other than MPCs, fertilizer price and seed price are found to influence farmer members decision in agricultural output marketing activity at the different levels of significance. The result of binary Model shows that age, educational level of members, total livestock hold, distance, change in standard of living due to joining cooperative, membership in other cooperative than MPCs, fertilizer price and seed price perception are found to influence MPCs members’ decision in inputand output marketing activity at the different levels of significance. However, family size, share hold, on-farm income, expenditure in inputs, and output price perception were not affecting their participation.
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多用途合作社成员参与农产品营销的决定因素:埃塞俄比亚奥罗米亚地区克尔萨地区吉马地区
本研究评估了埃塞俄比亚奥罗米亚州吉马区克尔萨区多用途合作社成员参与农产品销售的决定因素。采用两阶段抽样方法,选取4个多用途合作社,样本量为196个合作社成员。通过入户调查、关键信息提供者访谈、焦点小组讨论和个人观察收集定量和定性数据。采用均值、卡方、标准差、频率、百分比、二元logit模型等描述性统计方法对数据进行分析。结果表明,66.36%的合作社成员参与了农产品市场营销,33.64%的合作社成员不参与。二元logit模型结果显示,年龄、教育程度、土地持有情况、加入合作社导致的生活水平变化、加入合作社以外的其他合作社对农产营销参与决策有显著的正向影响,而其他四个变量对农产营销参与决策有显著的负向影响。总体而言,研究区多用途合作社成员的农产品营销受到不同人口、社会经济和制度因素的影响。因此,本研究建议,作为Woreda合作社的促进机构也应帮助这些合作社增加成员对农业投入和产出的参与,并与金融机构建立联系,以解决其资金短缺问题。参与农产品市场营销。采用描述性统计和计量经济模型对数据进行分析。采用t检验比较连续解释变量的均值,检验MPCs成员参与与不参与农产营销之间是否存在统计学显著差异。经t检验,HH成员的年龄、受教育程度、总存栏、土地拥有量、与MPCs办公室的距离均有显著差异。采用卡方检验比较离散变量,观察两组间是否有统计学差异。卡方检验还发现,由于加入合作社而导致的生活水平变化、加入mpc以外的其他合作社、肥料价格和种子价格等离散变量对农民成员农产营销活动决策的影响具有不同程度的显著性。二元模型结果显示,年龄、成员受教育程度、牲畜存栏总量、距离、加入合作社导致的生活水平变化、加入合作社以外的其他合作社、肥料价格和种子价格感知等因素对mpc成员投入产出营销活动的决策有不同程度的显著性影响。然而,家庭规模、持股比例、农场收入、投入支出和产出价格感知并没有影响他们的参与。
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