Determinants of poverty and welfare among oil palm processors in Osun state

JAMIU OLAKUNLE JIMOH, OLANIRAN VICTOR OLAGOKE, OYEKUNLE OPEYEMI OYEWALE, HAFSAT BISOLA LAWAL
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Abstract

The study analyzed the determinants of poverty and welfare among oil palm processors in Osun state. The specific objectives were to examine the housing and living conditions of oil palm processors in the study area, study the extent of poverty among oil palm processors in the study area, and determine the factors influencing the welfare of oil palm processors in the study area. Primary data were collected from 160 oil palm processors through purposive and random sampling techniques. Descriptive statistics, FGT measure of poverty, and Tobit regression model were used as analytical tools. The study revealed that about 76.9 percent of the processors were female. Majority (56.875 percent) of the processing households have accommodation of their own. The results of the FGT show that about 93 percent of the respondents were poor with a poverty incidence (P0) of 0.93125, poverty depth (P1) of 0.787129 and a poverty severity (P2) of 0.695926. The Tobit regression model reveal that household size and processing method used contributes positively to the likelihood of being poor and both are significant at 5%. While access to credit, years of processing experience and monthly income contributes negatively to the likelihood of being poor which are all significant at 5%. This study recommends that policies which will reduce household size such as fertility control measures should be the focus upon. Also policy should focus more on providing credit facilities through cooperative societies in other to help them improve their welfare status.
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奥苏恩州油棕榈树加工者贫困和福利的决定因素
本研究分析了奥逊州油棕榈树加工者贫困和福利的决定因素。具体目标是检查研究地区油棕榈树加工者的住房和生活条件,研究研究地区油棕榈树加工者的贫困程度,并确定影响研究地区油棕榈树加工者福利的因素。通过有目的的随机抽样技术从 160 名油棕榈树加工者中收集了原始数据。研究采用了描述性统计、FGT 贫困衡量标准和 Tobit 回归模型作为分析工具。研究显示,约 76.9% 的加工者为女性。大多数加工户(56.875%)有自己的住所。贫困发生率(P0)为 0.93125,贫困深度(P1)为 0.787129,贫困严重程度(P2)为 0.695926。Tobit 回归模型显示,家庭规模和所使用的加工方法与贫困的可能性呈正相关,二者的显著性均为 5%。而获得信贷的机会、加工经验年限和月收入则对贫困的可能性有负面影响,且均在 5%的范围内显著。本研究建议,应重点关注能减少家庭人口数量的政策,如生育控制措施。此外,政策还应更加注重通过合作社提供信贷服务,以帮助他们改善福利状况。
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