芝麻生产农户的生产效率——以埃塞俄比亚西南部Bench Maji地区为例

Q3 Social Sciences
Kusse Haile, Engida Gebre Yesho, Agegnehu Workye Belaneh
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引用次数: 0

摘要

动机:埃塞俄比亚的农业部门表现不佳,尽管该国大量人口的生计依赖农业。芝麻是一种重要的经济作物,对埃塞俄比亚许多人的生计起着至关重要的作用。然而,一些挑战阻碍了芝麻行业的发展和生产力的提高。目的:本研究试图分析埃塞俄比亚西南部Bench Maji地区芝麻生产商的生产效率。该研究同时使用了主要和次要数据来源。采用有针对性的抽样技术抽取270户芝麻生产农户。使用描述性统计和计量经济学模型对数据进行分析。结果:估计的随机生产前沿模型表明,无机肥、芝麻、牛力、劳动力和化学品等输入变量是提高研究区芝麻产量水平的重要因素。研究结果进一步揭示了研究区芝麻种植农户的生产效率存在显著差异。应用Cobb-Douglas函数形式,芝麻生产商的平均效率、技术效率、配置效率和经济效率分别为50.72%、86.83%和44.2%。此外,在决定因素分析中使用的14个变量中,芝麻种植经验、教育水平、农场收入、总耕地、社会责任、扩展接触频率、参与非农业活动、信贷、接近市场和土壤肥力被发现是技术、,芝麻生产农民的配置和经济效率低下。加强教育、推广服务、以可负担的利率获得信贷和交通服务,激励农户参加不同的培训,并与其他芝麻生产农民分享经验,提高芝麻生产的生产力。因此,必须考虑上述重要的社会经济和制度因素,以提高研究地区的芝麻生产力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Production Efficiency of Sesame Producer Farm Households: The Case of Bench Maji Zone, Southwest Ethiopia
Motives: Agricultural sector in Ethiopia is characterized by its poor performance, despite the livelihoods of the large population of the country depends on agriculture. Sesame is an important cash crop and plays vital role in the livelihood of many people in Ethiopia. However a number of challenges hindered the development of sesame sector along with the productivity. Aim: This study attempted to analyze production efficiency of sesame producers in Bench Maji Zone of Southwest Ethiopia. The study used both primary and secondary data sources. Purposive sampling techniques were employed to draw 270 sesame producer farm households. Descriptive statistics and econometric models were used to analyze the data. Results: The estimated stochastic production frontier model indicated that input variables such as inorganic fertilizer, sesame seed, oxen power, labor and chemicals found to be important factors in increasing the level of sesame output in the study area. The result further revealed significant differences in production efficiency among sesame growing farmers in the study area. Applying the Cobb-Douglas functional form the average, technical, allocative and economic efficiencies found are 50.72%, 86.83% and 44.2% for sesame producers, respectively. Also among fourteen variables used in the analysis of determinants, experience in sesame farming, education level, farm income, total cultivated land, social responsibility, frequency of extension contact, participation in off/nonfarm activities, credit, proximity to market and soil fertility were found to be significant sources of technical, allocative and economic inefficiencies of sesame producer farmers. Strengthening education, extension service, credit access at affordable interest rate and accessibility of transport services and motivating farm household to participate different training as well as their experience sharing with other sesame producing farmers improve productivity of sesame production. Therefore, those important socioeconomic and institutional factors which are mentioned above must take into account to improve the productivity of sesame in the study area.
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1.20
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