scholarly journals The Impact of Microfinance on Multidimensional Poverty Status of Rural Households in Gozamen District, East Gojjam Zone, Ethiopia

2020 ◽  
Keyword(s):  
Rural Households ◽  
Multidimensional Poverty ◽  
Poverty Status ◽  
The Impact

Multidimensional poverty status of rural households in Nigeria

2017 ◽  
Vol 44 (8) ◽  
pp. 1046-1061
Author(s):  
Abimbola Oluyemisi Adepoju ◽  
Oluwatofunmi Ibukun Akinluyi
Keyword(s):  
Family Planning ◽  
International Development ◽  
Rural Households ◽  
Multidimensional Poverty ◽  
High Rate ◽  
Empirical Literature ◽  
Content Type ◽  
Factors Influencing ◽  
Poverty Status ◽  
Nationally Representative

Purpose The purpose of this paper is to examine the factors influencing the use of family planning and its link with multidimensional poverty in rural Nigeria. Design/methodology/approach The Alkire and Foster measure of poverty as well as the Logistic and Probit models were used to identify the factors influencing the use of family planning and its effect on the multidimensional poverty status of rural households in Nigeria. Findings The results indicate that 31.1 percent of rural households were poor with deprivations in health and education contributing the most to multidimensional poverty. The low use of contraception was closely linked to low level of literacy, lack of awareness of the different methods and high levels of poverty. The use of contraception reduced the level of poverty in the household. Social implications The intensity of poverty should be considered in the design of policies and programs. The wide and proper use of family planning is a sine qua non for any significant reduction in poverty. Potent and assertive family planning programs by government could be achieved through public-private sector partnership and assistance of international development partners. Originality/value This paper attempts to bridge the knowledge gap in the empirical literature on the link between multidimensional poverty and family planning. In particular`, its application to the rural context, often characterized by high rate of poverty and unmet needs for family planning employing nationally representative data is of immense value for social policy.

scholarly journals The Impact of Rural Livelihood Diversification on Household Poverty: Evidence from Jimma Zone, Oromia National Regional State, Southwest Ethiopia

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Tsehaynesh Abebe ◽  
Tamiru Chalchisa ◽  
Adugna Eneyew
Keyword(s):  
Rural Households ◽  
Farm Income ◽  
Livelihood Diversification ◽  
Regional State ◽  
Household Poverty ◽  
Jimma Zone ◽  
Wide Range ◽  
Poverty Status ◽  
Livestock Ownership ◽  
The Impact

In Ethiopia, agriculture is the principal source of food and livelihood for many rural households, making it a central component of programs that seek to reduce poverty and achieve food security. Since the sector is faced with many challenges, rural households are compelled to develop strategies through diversification to cope with the increasing vulnerability associated with agricultural production. As a result, the purpose of this research is to assess the impact of livelihood diversification on household poverty in the Jimma zone of Ethiopia’s Oromia regional state. A multistage sampling procedure was employed to select 385 sample household heads. The study utilized data obtained from a cross-sectional survey using an interview schedule, focus group discussion, key informant interview, and personal observations. Both descriptive and econometric data analysis techniques were applied. The result of the FGT poverty measure revealed that the incidence of poverty among rural households was 37.14%, implying that 62.86% were non-poor. The descriptive statistics revealed that age of household, dependency ratio, year of schooling, sex of household, livestock ownership, landholding, non-farm income, market distance, and extension contact were found to have a significant influence on the poverty status of a household at different probability levels. Based on the cost of basic needs approach, it was applied to measure poverty status. The results of the logit model indicate that family size, landholding, livestock ownership, year of schooling, access to credit services, and off-farm income of the households were found to have significantly determined livelihood diversification. Moreover, the results of the propensity score matching indicate that household participation in livelihood diversification has a positive and significant impact on household poverty. Accordingly, households with diversified livelihoods were found to be 9% better off than those that were not diversified in terms of poverty. Policies aimed at increasing the income generation ability of the household should be strongly considered. Therefore, to ensure the capacity of rural households to practice farming along with a wide range of income-generating activities to improve the well-being of the rural poor and have a significant impact on poverty reduction, participating in livelihood diversification should be given emphasis in development planning.

scholarly journals Multidimensional Poverty Analysis of Urban and Rural Households in South Africa

2018 ◽  
Vol 63 (1) ◽  
pp. 3-19
Author(s):  
Ebenezer Toyin Megbowon
Keyword(s):  
South Africa ◽  
Rural Area ◽  
Rural Areas ◽  
Rural Households ◽  
Household Head ◽  
Multidimensional Poverty ◽  
Winter Period ◽  
Sample Population ◽  
Poverty Status ◽  
Geographical Locations

Abstract The study profiled and compared household multidimensional poverty status and its determinants among urban and rural households in the Eastern Cape Province of South Africa, using information from a sample population of 3033 households interviewed from the Province during the General Household Survey conducted by the Statistics South Africa in 2014. Analytical techniques utilized include the recent multidimensional poverty index (MPI), descriptive statistics and Tobit regression. Findings reveal that multiple deprivations are found mostly in the rural area of the province; the multidimensional headcount is highest in the rural area, though the intensity of multidimensional poverty is almost similar in both geographical locations. The standard of living dimension is also the largest contribution to MPI in both locations. MPI has significant links with education attainment of household head, access to electricity and asset stock in both geographical locations, but is influenced by the gender of head, agriculture engagement and household monthly income in rural areas only. In order to improve households’ multidimensional poverty status in both urban and rural locations, there is the need to take into account some significant variables such as education of head, increase electricity subsidy coverage during winter period, asset accumulation and increase in households’ participation in agricultural activities, especially those residing in rural areas.

scholarly journals Effects of the reward of internal migration on poverty status of rural households left behind in Ogun and Osun States, Nigeria

2019 ◽  
Vol 52 (3-4) ◽  
pp. 129-138
Author(s):  
Esther Toluwatope Tolorunju ◽  
Adewale Oladapo Dipeolu ◽  
Rahman Akintayo Sanusi ◽  
Dare Akerele
Keyword(s):  
Internal Migration ◽  
Rural Households ◽  
Multidimensional Poverty ◽  
Farm Size ◽  
Primary Data ◽  
Poverty Index ◽  
Multidimensional Poverty Index ◽  
South West ◽  
Binary Logit ◽  
Poverty Status

AbstractIn this study we analysed the effect of the reward of internal migration on the poverty status of rural households in South-West Nigeria. The types and channels of internal remittances received by rural households as well as the poverty profile and effect of internal remittances on the poverty status of rural households in South-West, Nigeria were assessed. Structured questionnaire was used to obtain primary data from respondents. Data were analysed using descriptive statistics, Multidimensional Poverty Index and Binary Logit regression. Findings revealed that 56.2% of the household heads were male, 67.4% were married, 42.3% had primary education and 58.3% received internal remittances through personal delivery (69%) with a mean age and household size of 55 years and 5 persons, respectively. However, based on Multidimensional Poverty Index benchmark of 0.333, 80.0% of the rural households were poor with a poverty intensity of 0.863. Binary Logit showed that age squared, remittance receipt, rearing of small livestock and farm size increased households’ likelihood of escaping poverty. In conclusion, internal remittances reduced poverty of rural households in the study area and as such continuous flow of remittances into rural households should be enhanced in order to facilitate improved standard of living.

Impact of socio and demographic factors on multidimensional poverty profile of smallholder arable crop farmers – evidence from Nigeria

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Raheem Olatunji Aminu ◽  
Wei Si ◽  
Shakirat Bolatito Ibrahim ◽  
Aisha Olushola Arowolo ◽  
Adefunke Fadilat O. Ayinde
Keyword(s):  
Demographic Factors ◽  
Multidimensional Poverty ◽  
Household Size ◽  
Living Standard ◽  
Average Intensity ◽  
Content Type ◽  
Crop Farming ◽  
Arable Crop ◽  
The Impact ◽  
Farming Households

PurposeThis paper evaluates the impact of socio and demographic factors on the multidimensional poverty of smallholder arable crop farming households in Nigeria.Design/methodology/approachData were drawn from the second wave of the LSMS-Integrated Surveys on Agriculture General Household Survey Panel 2012/2013. The methods adopted in analysing the data were descriptive statistics, Alkire and Foster Method (AFM) and logit regression model.FindingsThe result shows that 84.34% of the households were headed by a male while 80.26% of the respondents were married with a mean household size of seven persons. The multidimensional poverty of arable crop farm households in Nigeria is 0.60, while the adjusted headcount ratio (MPI) is 0.27, with an average intensity of 0.45. We found that deprivation in the dimension of living standard accounted for 45.5% of the overall multidimensional poverty index (MPI). The result of the logistic regression indicates that household location, gender, household size and non-farm income are negatively correlated to poverty. The factors that increase poverty among households are the age of the household head and access to extension services.Originality/valueThe study presents an alternative means of assessing poverty among smallholder arable crop farming households in Nigeria. This study recommends that policymakers should focus more on improving the living standard of arable crop farming households to reduce poverty in rural areas. Similarly, concerted efforts should be made towards providing adequate health care and improved sanitation, supply of electricity and educational training that goes beyond primary education for farming household members.

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