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As rural nonfarm activities grow in developing countries, less attention is being paid to the opportunities they may provide for women. The purpose of this study is to examine the gender-differentiated impact of nonfarm diversification strategies in rural Senegal.

This study uses data collected from the Senegalese poverty monitoring survey and employs an instrumental variable (IV) approach and a multinomial endogenous treatment model to investigate the extent to which diversification strategies lead to improved outcomes for rural women and their households.

While nonfarm diversification is a male-dominated livelihood strategy, rural women make the most of it, regardless of whether they diversify into low- or high-return nonfarm activities. At the individual level, diversification improves rural women’s well-being through large income-increasing effects and higher empowerment but has no effect on rural men’s well-being. At the household level, the authors find that, when only women diversify, households have lower per capita income but are less likely to be food insecure than when only men or both genders diversify.

This study is based on cross-sectional data, making it impossible to examine the dynamic effects of nonfarm diversification strategies on well-being outcomes.

This study contributes to the current literature on rural livelihood diversification. While much attention has been paid to the feminization of agriculture, remarkably little is known about the expanding role of rural women in the nonfarm sector.

Rural poverty remains high in many developing countries, Ghana inclusive. This has implications for healthcare affordability and utilization, and thus the attainment of universal health coverage. Nonfarm diversification is seen as a means by which rural farm households can increase incomes and smooth consumption including healthcare. The purpose of this paper is to investigate the impact of nonfarm enterprise participation on healthcare expenditure among farm households in rural Ghana.

Using nationally representative household data from the sixth round of the Ghana Living Standards Survey (GLSS 6), the paper employs endogenous switching regression and propensity score matching techniques to account for potential selectivity bias.

Results indicate that households that participate in nonfarm enterprises earn higher incomes and expend more on healthcare. Total household income and region of residence are significant determinants of healthcare expenditure among farm households in rural Ghana. In addition, while in nonfarm enterprise nonparticipating households the marital status of the head of household is important, for participating households the head having at least secondary education significantly influences healthcare expenditure.

Promoting nonfarm activities and hence raising the incomes of households in rural areas of Ghana has the potential of increasing health capital through increased investments in health. It will also positively impact access to and utilization of healthcare and ultimately contribute towards increased farm and non-farm productivity.

Previous studies have only examined the determinants of nonfarm enterprise participation or its impact on household welfare, poverty, inequality, food security and agricultural investments. While evidence abounds on the positive impact of rural nonfarm enterprise participation on household income, which in turn has implications for household health expenditure, the potential positive link between rural nonfarm enterprise participation and household healthcare expenditure remains unexamined.

The Old Farmer Pension Program (OFPP) represents Taiwan’s long-standing efforts aiming at improving farm household income and well-being; however, how effective the pension program is in terms of achieving the policy agenda has remained unclear. The paper aims to discuss this issue.

Based on data drawn from the Survey of Family Income and Expenditure during 1999–2013, two identification strategies are used to examine the effect of OFPP. First the authors apply the Blinder-Oaxaca decomposition to address the concern if the program reaches the socially/economically disadvantaged farm households. The second identification strategy involves using the static and dynamic decomposition approaches to identify the major factors contributing to farm household income inequality and the redistribution role of the OFPP.

Results from the Blinder-Oaxaca decomposition indicate that about 60 percent of the income gap can be eliminated if the pension recipients’ socio-economic characteristics are the same as the non-recipient group, suggesting it is the disadvantaged group that receives the old farmer pension. Moreover, the results suggest the significant contributions of household investments in health and human capital as well as diversification toward nonfarm activities, to income inequality among Taiwan’s farm households. Results from the dynamic decomposition suggest that the first-wave adjustment of the OFPP enlarges farm household income inequality, the following two waves of adjustment, however, plays an equalizing role.

This study adds to the literature by providing a methodological refinement promoting the view that it calls for the use of the dynamic (change) decomposition framework to investigate the inequality-enlarging or inequality-equalizing role each income determinant plays.

Ghana's economy is largely agrarian, and the business of agriculture is dominated by smallholder farmers who are predominantly rural dwellers. As a result, efforts to lift rural farming households from poverty have been narrowed to the promotion of agricultural development to the neglect of the rural non-farm sector. However, this is fast changing in the advent of a burgeoning rural nonfarm economy and must engage the attention of policy actors. This study thus assesses the effect of non-farm participation on households' level of commercialization of agricultural crops in Ghana.

The study applies a generalized structural equation model (GSEM) to the Ghana Living Standards Survey round 6 dataset, a stratified and nationally representative random sample of 16,772 households in 1,200 enumeration areas.

This study finds that non-farm participation increases the produce sold to output ratio. It is concluded that non-farm engagement by farmers boosts commercialization in Ghana. Thus, for the Ghanaian and similar contexts, agricultural development interventions that incorporate non-farm activities are more likely to be successful in improving livelihoods.

The study uses only the ratio of sales value to output value definition for commercialization and acknowledges use of multiple definitions could be superior.

Various empirical studies have examined the link between the farm and nonfarm sectors. This paper is original in its approach as it tackles an aspect of the subject that has been understudied, namely, an exploration of nonfarm and farm linkages from the perspective of agricultural commercialization.

The aim of this study was to evaluate determinants of four diversification practises by cocoa smallholders in West Sulawesi, Indonesia: (1) growing other crops, (2) keeping livestock, (3) off-farm work for wages (4) off-farm self-employment, and the impact of diversification on welfare of community members.

Household interviews (n = 116) conducted in two subdistricts (Anreapi and Mapilli) of Polewali-Mandar District, West Sulawesi, provided quantitative data on household characteristics, crop and livestock production, income sources, expenditure and credit access. Two villages per subdistrict were included in the study, each producing cocoa as the main crop but differing in their proximity to a market town. Logistic regression was applied to identify determinants of diversification by households. Multiple linear regression (MLR) models evaluated the impact of diversification practices and other explanatory variables on two proxies of welfare (or household wealth): per capita value of durable assets (household assets other than land or livestock) and per capita expenditure for each household.

Mean per capita cocoa production in the sample was low (51 kg dry beans/annum). The mean dependency ratio (proportion of household occupants age <18 and >64) was 35%, with an average of five occupants per household. Household heads were predominantly male (95%), averaging 46 yo and 7 years of formal education. Most households (72%) depended on loans, but only 24% accessed formal loans. Significant determinants of diversification practices were access to formal credit for self-employment and subdistrict for livestock, with Mapilli subdistrict households more likely to keep livestock. Household predictors in the MLR accounted for 28% variation of the dependent, per capita value of durable goods. Off-farm self-employment and raising livestock significantly improved welfare, but growing other crops or off-farm work for wages had little effect. Other household variables demonstrated to have significant positive effects on welfare were education of the household head, proximity to a market town and land area per household.

The study was restricted to a relatively small sample size (n = 116). Studies including panel data or larger numbers of households could enable the identification of further determinants of diversification.

The study demonstrates that diversification has the potential to improve rural livelihoods, but that obstacles, especially formal credit access, may deter poorer households from diversifying their income sources.

Programs and policies that facilitate access to formal finance by smallholders could encourage diversification into small business and improve livelihoods in cocoa-dependent communities.

In the light of the decline in cocoa farm productivity in West Sulawesi, the study demonstrates the potential benefits, as well as limitations, of income diversification by smallholders.

This chapter uses the Ghana Living Standards Survey (GLSS) 7 datasets to investigate and examine the effect of rural non-farm diversification and its implications on agricultural (tree-crop) farming sector inequalities and sustainable development in Ghana. Applying a Gini-decomposition method and/or technique within a quantitative approach, the study outcome indicates the average non-farm income thus, increased income inequality among tree-crop smallholder rural livelihoods and households. Income diversification by farm households has gained the attention of governments, policy makers, and researchers because of its commonness and contribution to socio-economic development especially in developing countries. Aggregationally, non-farm self-employment reduced income inequality, and non-farm wage employment income led to an increase in income inequality. Increased rate of educational enrollment and achievement is the most important variable of non-farm income inequality. Government effort at expanding tree-crop acreages and improve yields have to degree achieved its intended policy implementation, increased rate of educational achievement could undermine the socio-economic policy cohesion and sustainable development of rural livelihood, communities, and national economy. Tree crop policies should take account of the spatial distribution of tree-crop commodity production and in particular, the implication and effect of rural non-farm diversification on agricultural sector inequalities.

The purpose of this paper is to examine the income strategies adopted by rural households in Ghana and analyzes the determinants of households’ choice of income portfolio.

A multinomial logit approach is employed by the paper to investigate the determinants of various income strategies adopted by households in rural Ghana.

Results indicate that household characteristics, location and infrastructure all play a role in explaining the adoption of income strategies other than a purely on-farm strategy by households. Education is a key determinant of income strategies involving non-farm wage employment, while access to credit and electricity play important roles in non-farm self-employment income strategies.

The findings of the paper call for a promotion of off-farm income opportunities to complement farm incomes and to enhance access of rural households to these sources of income.

The paper models rural household income portfolios into mutually exclusive categories which enables the application of the multinomial logit approach. The paper deviates from mainstream rural income diversification literature that has focussed on assessing the determinants of income shares.

Little econometric evidence exists on the determinants of nonfarm participation among ethnic minorities in Vietnam. The purpose of this paper is to examine the intensity of nonfarm participation and its correlates among ethnic minority households in Northwest Mountains – the poorest region of Vietnam.

Factors affecting the level of nonfarm participation were examined by using a fractional logit model. In addition, regression analysis using analysis of variance models were used to compare the mean of household characteristics and assets between households with and without nonfarm employment.

The study found that households depended heavily on agriculture for subsistence and their access to nonfarm employment is very limited. Households with nonfarm employment had much higher levels of education, income, assets and a much lower level of poverty than those without nonfarm participation. The intensity of nonfarm participation is positively associated with education levels, proportion of male working members and fixed assets but negatively correlated with the size of annual crop land and water surface for aquaculture. Also, the presence of nonfarm opportunities and paved roads in a commune increases the intensity of nonfarm participation for households living in that commune.

The findings suggest that any poverty alleviation policies should aim at improving the access of ethnic minorities to education and nonfarm job opportunities.

The study offers the first evidence of factors affecting the intensity of nonfarm participation among ethnic minorities in the study area.

The purpose of this study is to determine the impact of off-farm work on food security in rural Bangladesh. We use rural household-level data and a nonparametric propensity score matching (PSM) estimator. Matching estimators are used in observational data to address the potential selection biases caused by nonrandom allocation of the treatment. Monthly food-consumption data and household income and expenditure surveys from rural Bangladesh for 2013–2014 are used in this chapter. We found that rural Bangladeshi households participating in nonfarm income-generating activities, especially in higher return nonfarm employment, enjoy higher levels of per-capita food expenditures and diet diversity – two of the measures of food security. In particular, we find that rural households increased diet diversity in cereals, fruits and vegetables, and meats. Finally, our estimates reveal that rural households participating in off-farm work increased per-capita food consumption by about Taka 1,576, on average, and increased per-capita expenditures on milk and milk products (Taka 212), and fruits and vegetables (Taka 235) significantly. Policy makers should design and implement policies that create off-farm livelihood activities. These nonfarm activities would help smallholder farm families to diversify, to supplement their income, and to continue their agricultural operations as well as increase food security.

This study examines employment dynamics of youth in the central highlands of Guatemala. It is during late adolescence and early young adulthood that rural youth explore and settle into occupational structures that often define their economic lives and the region’s economic outlook. However, the occupational orientations of this group are poorly documented.

The study used a combination of qualitative and quantitative methods. A three wave longitudinal design with six-month intervals was implemented. Households were identified using random sampling based on household maps. Two individuals per household were interviewed, a female adult and a younger woman/man between 15 and 25 years old in 451 households. In-depth interviews also were conducted with 25 individuals.

Youth occupational choices were associated not only with their health, income, and standing in their household, but also their self-image, sense of independence, and control. Nonfarm jobs were found to be most attractive to youth, who identify them as more “modern” and urban jobs. The study documents shifts from farm to nonfarm jobs, gender dynamics, the impact education has on jobs for youth, and health correlates of employment and unemployment.

Most characterizations of employment patterns in rural areas of Guatemala focus on the “head of household,” while overlooking the diverse job activities of other members of the household. The study not only addresses a population that is often understudied but also provides a longitudinal perspective to understand job switching and youth ideas of a “good” and “better” job.