尼日利亚西北部气候智能型农民的贫困状况。——Foster Greer和Thorbecke模型的应用

IF 0.6 Q4 DEVELOPMENT STUDIES Journal of Rural and Community Development Pub Date : 2017-11-21 DOI:10.12691/AJRD-5-5-3
D. Ekpa, O. Oladele, M. Akinyemi
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引用次数: 6

摘要

这项研究在尼日利亚西北地缘政治地区建立了气候智能型农业实践与贫困之间存在的联系。这项研究的动机是气候变化日益严重的后果及其对研究地区农民贫困状况的影响。由于全球对气候和环境变化的观察,农户正在改变农业生产方式。在此基础上,该研究考察了气候智能型农业实践对尼日利亚西北部农民贫困状况的影响。采用多阶段抽样技术,选取研究区内294户农户,通过预测试的结构化问卷为研究提供相关的原始数据信息。目标是分解研究区域气候智能型农业技术高用户和低用户的贫困状况。采用Foster Greer和Thorberk模型,Watt指数,Sen, Shorrocks和Thon指数来确定目标。根据FGT指数,绝对贫困人口占总人口的35.89%,相对贫困人口占9.12%。这意味着,从事气候智能型农业的农民平均约有36%无法获得食物、安全饮用水、健康、住房、教育和信息等基本人类需求。另一方面,对于9%的绝对贫困人口。这意味着气候智能型农民平均有9%的贫困来维持平均生活水平。这意味着气候智能型农业的农民平均有33%的食物被剥夺,13%的平均生活水平被剥夺。对健康贫困的分析显示,绝对贫困占42.38%,相对贫困占27.64%。这意味着,气候智能型农业农民的平均健康水平下降了42%,平均生活水平下降了28%。进一步分析,教育贫困的绝对贫困和相对贫困值分别为47.10%和28.26%。这意味着约47%的气候智慧型农业农民被剥夺了基础教育,约28%的气候智慧型农业农民被剥夺了平均生活水平。该研究的结论是,贫困在研究地区是显而易见的。因此,报告建议政府、非政府组织和农民协会创造有利的知识交流环境,以鼓励气候智能型农业的低用户提高其绩效。配偶尤其应该培养对气候智能型农业的兴趣。赋予妇女权力的方案可以由政府和私人开展。应在课程中丰富和发展有关正规教育的政策,以应对气候智慧型农业的挑战。
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Poverty Status of Climate Smart Agricultural Farmers in North West Nigeria.-Application of Foster Greer and Thorbecke Model
This research established a link that exists between climate smart agricultural practices and poverty in North-West geopolitical zone of Nigeria. The study was motivated by the increasing consequence of climate change and its impact on poverty status among farmers in the study area. Farming households changing agricultural practices as a result of global observation of climatic and environmental changes. It was based on this that the study examines the impact of climate smart agricultural practices on poverty status among farmers in North West Nigeria. A multi-stage sampling techniques was used to select two hundred and ninety four (294) farming households in the study area who provide the relevant primary data information for the study through a set of pre-tested structured questionnaires. The objective was to decompose poverty status for high-users and low-users of climate smart agricultural techniques in the study area. Foster Greer and Thorberk model, Watt’s index, Sen, Shorrocks and Thon index were used to ascertain the objective. Poverty head count according to the FGT index for the total population is 35.89% for absolute poverty and 9.12% for relative poverty. This means that the average climate smart agriculture farmers had about 36% deprivation of basic human needs such as food, safe drinking water, health, shelter, education and information. On the other hand, for the absolute poverty of 9%. It means the average climate smart agricultural farmers had 9% deprivation to maintain the average standard of living. It connotes that the average climate smart agricultural farmers had 33% deprivation of food and 13% deprivation of average standard of living. Analysis of health poverty reveals that the absolute poverty is 42.38% and relative poverty 27.64%. It implies that the average climate smart agricultural farmers were deprived of health by 42% and by average standard of living by 28%. Further, analysis on education poverty reveals the absolute poverty and relative poverty value of 47.10% and 28.26%. This signifies that about 47% of the climate smart agricultural farmers were deprived of basic education and about 28% of climate smart agriculture farmers were deprived of average standard of living. The study concludes that poverty is evident in the study area. It therefore reccommends that Government, Non-Governmental Organizations and farmer associations should create a conducive knowledge exchang enviroment to encourage the low-users of climate smart agriculture to improve on their performance. Spouses especially should develop interest in climate smart agricultural farming. women empowerment programme can be embarked upoun by government and private individual. Policy on formal education should be enriched and developed in the curriculm to meet the climate smart agricultural challenges.
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