生计选择策略对埃塞俄比亚奥罗米亚北部谢瓦地区农户粮食安全状况的决定因素及影响

Gari Duguma, Fekedu Beyene, M. Ketema, K. Jemal
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摘要

生计多样化战略是满足世界人口过度增长的粮食需求的一种手段。本研究确定了埃塞俄比亚奥罗米亚州北谢瓦生计多样化战略的家庭层面决定因素及其对粮食安全状况的影响。本研究收集了2021/22生产年度的主要和次要数据。主要数据是从使用简单随机抽样技术收集的400名小农中收集的。采用描述性统计和计量经济模型进行数据分析。从估计系数来看,生计策略受到14个解释变量的显著影响。农业生态、性别、家庭规模、农场规模、经济活跃成员、培训、信贷获取、牲畜饲养、教育水平、农业经验、灌溉经验、媒介、与市场的距离是影响农户生计策略地位的显著变量。影响评价估计结果表明,参与非农业生计多样化策略的农户粮食安全状况提高了25%,而参与非农业生计多样化策略的农户和参与非农业和非农业生计多样化策略的农户的粮食安全状况在1%的概率水平上分别比非多元化农户提高了43%和37%。本研究表明,使用上述更多的社会经济变量,农村家庭的粮食安全状况水平仍有提高的空间。因此,政策制定者应重视已识别的变量,改善农户生计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determinants and Impacts of Livelihood Choice Strategies on Farm Households’ Food Security Status in North Shewa Zone Oromia, Ethiopia
Livelihoods diversification strategies are one means of meeting the overgrowing world population’s food demand. This study identified household-level determinants of livelihood diversification strategies and its impact on food security status in North Shewa, Oromia, Ethiopia. Both primary and secondary data about the 2021/22 production year were collected for this study. Primary data was collected from 400 smallholder farmers that were collected using a simple random sampling technique. Descriptive statistics and econometric models were used for data analysis. Looking into the estimated coefficients, the results indicate that livelihood strategy is significantly influenced by fourteen explanatory variables. Agro ecology, sex, family size, farm size, economic active member, training, credit access, livestock holding, education level, experience in farming, irrigation experience, media, distance from the market were significant variables that affect the household livelihood strategy status. Impact evaluation estimated result indicated that participation of farming with non-farming livelihood diversification strategies increases farm household food security status by 25% while, participation in farming with off farming and farming with both non-farming and off farming livelihood diversification strategies increases households' food security status by 43 and 37% respectively over non-diversified households at a 1% probability level. This study indicated that there is room to improve rural households’ level of food security status using more of the aforementioned socio-economic variables. Therefore, policymakers should give due emphasis to the identified variables and improve the livelihoods of rural households.
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