The Influence of Economic Related Factors on Poverty among Farming Households: The Case of Nigeria

Kwaghe, P. V.; Amaza, Paul

doi:10.1177/1018529120080204

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“…Gounder (2013) simulated the correlation of household consumption and poverty in Fiji using the farmer's survey data, and argued that such three measures as improvement of the rural education level, rural supporting policies of agricultural growth and reallocating of labor force to regular economic sectors will effectively reduce poverty of farming household. Using descriptive statistics and FGT's P alpha poverty measurement method, Kwaghe and Amaza (2008) examined the impact of economic-related factors on poverty of 360 households in Bono, Nigeria, and found that 18% of the farming households were seriously poor, and then suggested that poverty reduction policies should be made to let the farmers easier access to agricultural loans and means of production, and encourage farmers to engage in non-farm industries and diversify the agricultural activities. Using the data from three family groups in rural Bangladesh from 1991 to 2001, Khandker and Koolwal (2010) found that irrigation, paving roads, erecting electricity and increasing credit channels led to higher agricultural and non-agricultural incomes, but these measures did not reduce the poverty of the poorest families significantly.…”

Section: Introductionmentioning

confidence: 99%

Analyzing Influencing Factors of Rural Poverty in Typical Poverty Areas of Hainan Province: A Case Study of Lingao County

et al. 2018

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Rural poverty and poverty reduction are not only the focal issues that have attracted worldwide attention, but also the vital issues on people's livelihood that has attached great importance and aimed to be solved by the central and local governments of China. Based on the survey data of 354 farming households, this paper, taking the national poverty county of Lingao County, Hainan Province for an example, examined the characteristics of rural poverty of the county. Moreover, this paper established the spatial lag model (SLM) from five dimensions, namely, status of the household head, household structure, health status, income composition and traffic accessibility, to analyze the main influencing factors of rural poverty according to the values of Moran's I and the diagnosis of spatial dependence of the OLS model. It is found that the poor farming households gathered mainly in five towns in the north and southwest of the county, and the rural poverty have the characteristics of low educational level of the heads, more minor children, high population of farming peasants, high incidence of disease and low proportion of household wage-equivalent income. The results also showed that the variables such as the number of minor children, the number of migrant worker, the number of farming peasants and the proportion of wage-equivalent income have significant effectiveness on rural poverty, while the status of the household head, health status and traffic accessibility have little influence. It is an important way to realize the goal of poverty alleviation by controlling the number of farmers' fertility, strengthening the vocational skills training of farmers, vigorously developing specialization and large-scale agriculture and increasing the employment opportunities of farmers.

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Section: Introductionmentioning

confidence: 99%