Determinants of Participation in Non-farm Employment among Rural Farmers in Ebonyi State, Nigeria

Onya, S.C.; Okezie, Chukwukere Austin; Ejiba, Ikenna

doi:10.9734/jsrr/2016/28047

Cited by 4 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recent studies suggest that non-farm sources account for 40-45 percent of average rural household income in Sub-Saharan Africa and Latin America and 30-40% in South Asia with the majority of this coming from local rural sources rather than urban migration [3,5]. The share of non-farm income to total household income stood at 70.82% in Nigeria [7] and non-farm offers the poor a potential escape route from poverty, since they usually require little capital or training to set up and are labour intensive [8].…”

Section: Contribution Of Mses To Socioeconomic Developmentmentioning

confidence: 99%

Determinants of Non-farm Micro and Small Enterprise Participation in Rural Ghana

Ayambila

Osei‐Akoto

Ayamga

2017

BJEMT

View full text Add to dashboard Cite

show abstract

Section: Contribution Of Mses To Socioeconomic Developmentmentioning

confidence: 99%

Determinants of Non-farm Micro and Small Enterprise Participation in Rural Ghana

Ayambila

Osei‐Akoto

Ayamga

2017

BJEMT

View full text Add to dashboard Cite

show abstract

“…The people are predominantly farmers and grow crops such as rice, yam, maize, oil palm and vegetables; and they also rear livestock. Non-farm employment activities common in the area range from hired farm labourers, petty trading to civil service (Onya et al, 2016).…”

Section: Methodsmentioning

confidence: 99%

“…Many empirical studies analyzed non-farm labour supply of farm households by considering a binary choice dependent variable (participation versus nonparticipation), and thus estimated a Probit model (Beyene, 2008;McCarthy and Sun, 2009) or a logit model (Norsida and Ismaila, 2009;Roslan and Siti, 2011;Onya et al, 2016). But both models ignore an important aspect of labour supply decision, i.e, the hours of work decision.…”

Section: Specification Of Non-farm Labour Supply Functionmentioning

confidence: 99%

Gender participation in non-farm employment in Ebonyi State, Nigeria

Onya¹,

Amah-Jerry²,

Iheke³

2020

Agro-Sci.

View full text Add to dashboard Cite

This study examined gender participation in non-farm employment in Ebonyi State, Nigeria. The study used primary data collected from 149 respondents selected through a multistage sampling technique. Data were analysed using descriptive statistics and double hurdle model. The result of the descriptive statistics showed that female household heads were younger (38.3 years) than the male (44.4 years), the male had more years ofeducation, spent more time in work than the female; and also the male farm income were more than that of the female, while the female non-labour income were higher than that of the male. Also, the females were more involved in tree cropping and livestock-keeping than their male counterparts, while on the non-farm activities, the female were more into these practices than the male. The result of the double hurdle estimation showed that age, marital status, years spent in school, household size, number of dependent, farm size, non-labour income, and distance to the market significantly influenced the participation decision of both male and female headed households in non-farm employment; while age, marital status, years spent in school, household size, number of dependent, farm size, non-labour income, distance to the market, and distance to the urban centre significantly influenced the hours of work decision of male and female headed households in non-farm employment in the study area. The study recommends policy measures that will improve the skills and educational level of the farmers especially the female as it will go a long way in reducing the number of unskilled labours while increasing the number of skilled labour of the people in the study area. Key words: gender, participation decision, hours of work decision, non-farm employment

show abstract

“…The term non-farm work refers to all activities outside the farm, farm-based activities (i.e crops and livestock production, aquaculture, agro-processing and natural resources collection) and agricultural wage employment. It does not matter where the activity takes place, at what scale, or with what technology (Idowu et. al., 2013) 2 Income diversification index of the farm households was calculated using the inverse of Herfindahl index =…”

Section: Endnotesmentioning

confidence: 99%

Opportunity Cost of Education on Non-Farm Employment in Rural Nigeria

et al. 2018

View full text Add to dashboard Cite

Purpose: Returns on education was found to be worker, scale and allocative effects with positive higher payoff to agricultural productivity but its effects on non-farm employment among agricultural households who obtain income through non-farm activities to complement proceeds of agricultural activities are not yet known. Therefore, this study critically investigates the real cost effect of education on involvement in non-farm employment among rural households in Southwestern Nigeria. Research Method: The study drew a sample of 411 rural farm households through a multi-stage sampling technique from three states in southwest Nigeria and the data obtained were analyzed using the Mincerian equation, logistic model, inverse of Herfindahl index, calculation of expected annual rural income earning and rates of return to schooling. Findings: Results indicate that mean age and education of the rural household heads were 49.9 years and 8.8 years respectively while the household incomes were diversified up to 2.82 level and the nonfarm sources contributed an average of 67% of the total income. Education is found to have considerable returns of N4706.30 (US$31.95) to gross household income and an additional year of schooling from other members of the households returns of N12519.90 (US$85) to the households' income. Education of the household heads increases the probability of farm households participating in rural non-farm employment but the probability of participation reduces with increased level of education of the household heads. Tertiary education has the highest opportunity costs of schooling (N352200.04) per annum and the lowest rate of return to schooling (0.57%) from rural non-farm employment. Research Limitations: The study revealed the real cost of rural farm households' educational level on the type of non-farm employment and income generated through it. The study presents information on southwestern zone of Nigeria. Originality/Value: The practical value of this research is that decline rates of return to higher education reveal the rural non-farm employment being not the prime incentive for rural farm households' members in obtaining higher education in rural southwest Nigeria. Therefore, implications are drawn for an integrated approach to higher education which may yield agricultural and non-agricultural transformation in rural Nigeria.

show abstract

Determinants of Participation in Non-farm Employment among Rural Farmers in Ebonyi State, Nigeria

Cited by 4 publications

References 0 publications

Determinants of Non-farm Micro and Small Enterprise Participation in Rural Ghana

Determinants of Non-farm Micro and Small Enterprise Participation in Rural Ghana

Gender participation in non-farm employment in Ebonyi State, Nigeria

Opportunity Cost of Education on Non-Farm Employment in Rural Nigeria

Contact Info

Product

Resources

About