贫困概况与技术效率关系:尼日利亚奥约州女企业家案例研究

O. Ehinmowo, A. Fatuase, S. O. Ojo
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引用次数: 2

摘要

这项研究确定了尼日利亚奥约州木薯加工女企业家的贫困状况和技术效率。数据来源于第一手资料,采用一套结构化问卷,辅以访谈时间表。采用多级采样技术。数据分析采用描述性统计、Foster - Greer Thorbecke (FGT)和随机前沿生产函数分析(SFPF)。从105名女性木薯加工者那里收集了农场层面的调查数据。结果显示,研究地区64.8%的女企业家是穷人,每天需要16.1%的1美元(160奈拉)才能摆脱贫困。报告还显示,在40至49岁的女企业家中,贫困发生率很高,其中大多数(61%)是4至6人的大家庭,(95.2%)受教育程度较低。结果进一步表明,木薯加工企业处于低效生产阶段(第一阶段),其规模收益(RTS)为1.264。原材料成本、运营费用、能源等变量得到了有效的分配和利用,每个变量的估计系数值在0 ~ 1之间。女企业家的技术效率在0.637 ~ 0.994之间变化,平均值为0.888。低效率模型分析显示,贫困程度、加工方式和原料来源正向影响研究区木薯加工企业的技术效率,表明这些因素都导致研究区木薯加工企业的技术效率下降。该研究建议,为了提高女性木薯加工者的效率,应该采取促进减贫、改善教育和增加收入的政策。
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Poverty Profiles and Technical Efficiency Nexus: A Case Study of Women Entrepreneurs in Oyo State, Nigeria
The study determined the poverty profiles and technical efficiency of women entrepreneurs in cassava processing in Oyo State, Nigeria. Data were obtained from primary source using a set of structured questionnaire assisted with interview schedule. The multistage sampling technique was used. Data were analyzed using: descriptive statistics, Foster – Greer Thorbecke (FGT) and Stochastic Frontier Production Function Analysis (SFPF). Farm level survey data were collected from 105 women cassava processors. The results revealed that 64.8 percent of the women entrepreneurs in the study area were poor and would need 16.1 percent of 1US Dollar (N160) per day to escape poverty. It was also revealed that poverty incidence was noticed among women entrepreneurs between age ranges 40 – 49, most of them (61%) had a large household size with 4 – 6 members and (95.2%) had low educational level. Results further showed that cassava processing enterprise was in the stage of inefficient production (stage I) as shown by the Returns to Scale (RTS) of 1.264. The variables such as cost of raw material, operating expenses and energy were effectively allocated and used, as confirmed by each variable having estimated coefficient value between 0 and 1. The Technical Efficiencies of the women entrepreneurs varied between 0.637 and 0.994 with a mean of 0.888. The analysis of the inefficiency model revealed that poverty level, method of processing and source of raw material were positive indicating that all these factors led to decrease in technical efficiency of cassava processing enterprise in the study area. The study recommends that to increase the efficiency of the women cassava processors, policies that would promote poverty alleviation, improve education and boost income should be adopted.
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