Determinants of poverty among rural farming households in Maiha Local Government Area, Adamawa State, Nigeria

Yahaya Zira Dia, D. S. Oaya, Jaafaru Joshua
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Abstract

Abstract Poverty is a critical factor affecting subsistence of farmers in Nigeria, especially in rural areas. The study examined determinants of poverty among rural farming households in Adamawa State, Nigeria. Specifically, the research objectives were to: describe the socio-economic characteristics of the respondents, determine the poverty status of the respondents, and examine the determinants of poverty among the respondents. Primary data used for the studies were generated from 255 respondents, who were selected using a multi-stage random sampling technique. The analytical tools used were descriptive, Foster-Greer-Thorbecke (FGT), and Logit regression models. The findings of the study revealed that the majority (90.98 %) of rural farming household heads were men, married (90.20 %) with a mean age of 38.42 years, educated (76.48 %), with a mean farm size of 2.65 ha and mean household size of 5 people. The majority (85.88 %) of the respondents had no access to credit. The study further revealed that respondents’ distributions by poverty status were 0.42, 0.23, and 0.16 for poverty incidence (Po), poverty depth (P1), and poverty severity (P2), respectively. The result of the Logit regression model revealed that sex, formal education, primary occupation, access to credit, total income, and annual remittances had a positive influence on poverty status, while age, marital status, and household size had a negative influence on poverty status among farming households and were statistically significant at various levels. Hence the study recommends need for the farming households to have access to credit schemes. This could increase the off-farm activities that could generate more income for the household and thereby reduce their poverty.
尼日利亚阿达马瓦州迈哈地方政府区农村农户贫困的决定因素
贫困是影响尼日利亚农民,特别是农村农民生存的关键因素。该研究调查了尼日利亚阿达马瓦州农村农户贫困的决定因素。具体而言,研究目标是:描述受访者的社会经济特征,确定受访者的贫困状况,并检查受访者中贫困的决定因素。研究使用的主要数据来自255名受访者,他们是通过多阶段随机抽样技术选择的。使用的分析工具是描述性、Foster-Greer-Thorbecke (FGT)和Logit回归模型。研究结果表明,农村农户户主以男性居多(90.98%),已婚(90.20%),平均年龄38.42岁,受教育程度(76.48%),平均农场面积2.65公顷,平均家庭规模5人。绝大多数(85.88%)的受访者无法获得信贷。贫困发生率(Po)、贫困深度(P1)和贫困严重程度(P2)的分布分别为0.42、0.23和0.16。Logit回归模型的结果显示,性别、正规教育程度、主要职业、信贷获取、总收入和年汇款对农户贫困状况有正向影响,而年龄、婚姻状况和家庭规模对农户贫困状况有负向影响,且在各个层面上都具有统计学显著性。因此,该研究建议农户有必要获得信贷计划。这可以增加非农活动,为家庭创造更多收入,从而减少贫困。
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