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We analyze the food security implications of off-farm labor reallocation decisions of rural farm households in transitional Albania. We accomplish this by examining local and nonlocal off-farm incomes for at-home food consumption expenditures.

An instrumental variable approach is employed to correct for endogeneity and censorship biases of off-farm income variables in a two-stage estimation of the food consumption expenditures.

We find that local off-farm income exerts a positive and significant effect on per capita food consumption expenditures of farm households, while private remittances from nonlocal off-farm income has the opposite effect on food consumption expenditures. In terms of regional heterogeneity, we discover that the mountain region spends significantly less on annual per capita food consumption compared to the central region. This confirms anecdotal evidence that food and nutrition insecurity in rural Albania is predominant in the mountain region.

Our findings suggest the need for policy makers to promote a development agenda that enables farm households to exploit the synergies among the various income-generating activities in the rural economy. This spectrum of income-generating activities forms complex livelihood strategies adopted by rural farm households to improve and maintain their food security.

We distinguish between local and nonlocal sources of off-farm income. Knowing which off-farm income source(s) has the largest impact on household welfare through improved food security status should be of interest to policy makers.

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.

Purpose – This study aims to analyze the contribution of revenue and consumption cost of soybean farmers.

Design/Methodology/Approach – Data analysis was done by quantitative descriptive analysis. Data were obtained in the form of numbers then the results of the obtained data were presented in the form of a systematic description. The sample in this study is the entire population of soybean farmers in Muara Batu, Aceh Utara by using census method as much as 50 farmers.

Findings – The results showed that the contribution of soybean farm revenue amounted to 6.94%, non-soybean farming amounted to 48.12%, and out farm activities amounted to 44.94%. This indicates that soybean farming activities are enough to contribute to increase the family revenue. Meanwhile, the average amount of household cost for food is 16,696,800 IDR/Year and for non-food is 8,397,500 IDR/Year. The analysis shows that although the contribution of soybean farming revenue is the lowest than the other farms’ revenue, it is very helpful to the farmers for fulfilling the needs of family consumption cost every year.

Research Limitations/Implications – The object of this research is to study all the farmers who utilize the land for soybean farming in Muara Batu. The research limitations are income contribution and consumption cost of soybean farmers.

Practical Implications – The amount of soybean production produced by farmers is much lower. However, the farmers can still increase their income if the amount of production can be increased by more intensification of soybean farming as tough as the use of superior varieties of soil processing, organic fertilizer on soil, balanced and integrated pest control, and harvesting and post-harvesting to reduce food loses.

Originality/Value – The farmers earned revenue not only from soybeans, but also from non-soybean farm and out farm. Soybean farming activities aim to increase revenues in order to meet the needs of the family that consist of food and non–food consumptions.

To determine the factors that motivate rural households to supply ganyu labor and to estimate its impact on food security.

Data from the 2010/2011 Malawi household survey were used. A probit model to evaluate the determinants of ganyu labor supply and a propensity score-matching estimator to assess its impact on food security were used.

Less educated males are more likely to supply ganyu labor. Ganyu labor supply increases with household size, while it decreases with the level of crop farming and size of land owned. Results from the average treatment effect indicate a positive and significant impact of ganyu labor participation on the number of meals consumed per day.

Ganyu labor participants in Malawi have better access to food as a result of cash income from ganyu. Government support mechanisms such as minimum wage regulations should consider the welfare of ganyu labor participants.

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 paper presents estimates of total personal income for every U.S state in 1880, 1890, 1900, and 1910. The series includes new figures for 1890 and 1910, and revisions of Richard Easterlin's (1960) figures for 1880 and 1900 based on recent economic history research. The new estimates allow better examination of U.S. interregional income differences and cyclical behavior of U.S. states’ total personal income.

The persistence of different farm types in Italian agriculture shows that productivism is not the only possible development path that farms can follow, and that farms can successfully adopt strategies based on diversification rather than standardization of production.The aim of this work is to provide evidence about the diffusion of different diversification and differentiation strategies in Italian agriculture, and to compare the characteristics associated with the targeted groups of farms, as well as their structural and economic evolution over time.The analysis is performed on a panel of data built on the basis of information collected by the Italian FADN over the 2003–2009 period. For the purpose of the analysis we divided the population of Italian commercial farms into a fivefold innovative farm typology based on the extent of diversification and differentiation strategies adopted by farms.The findings show that conventional farms are still by far the largest category within the population of Italian commercial farms, while only 13% of total commercial farms is classified as differentiated and/or diversified. Conventional farms are also the best off in terms of economic results. As for the differentiated and/or diversified farms, their structures are still changing, their profitability is improving and they follow a more sustained income growth path than conventional ones.The analysis highlights that diversification and differentiation are not necessarily a viable solution to the low-income problem faced by many farms. Future research is needed to better understand the relationship between diversification strategies and policies.

Within the framework of potential efforts and strategies to employment generation for young people in Africa in general and Ethiopia in particular, the agricultural sector is increasingly considered as an important sector and a valuable means for poverty reduction, the promotion of economic development, and youth's economic independence. Renewed hope is placed on the sector to offer sustainable livelihood prospects for the rural youth. Yet, the success and sustainability of the sector require a proper understanding of how households allocate youth labor time in the sector and whether agricultural labor supply is responsive to economic incentives such as shadow wages. Using gender- and age-specific plot-level panel data, we systematically analyze the impacts of shadow wages of each household member on youth agricultural labor supply across types of farms. The results indicate that agricultural shadow wages matter for the youth's labor supply in the sector, but the impact differs for male and female youth. We also show that trends and patterns of youth labor supply vary across gender and whether they work on their own farm, and so do their labor returns. The results are consistent after controlling for individual heterogeneity and instrumenting for possible endogeneity. Taking into account the intensity of youth's actual involvement in the family farm, own farm or off-farm work instead of their stated intentions, the results challenge the presumption that youth are abandoning agriculture, at least in agricultural potential areas of Ethiopia. Instead, the frequent narrative of youth disengaging from agriculture may be a result of methodological flaws or data limitations. The findings suggest that it is necessary to invest in agricultural development to enhance labor productivity and employability of young people in agriculture.