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This paper explores the rural labor market impact of migration in China using cross-sectional data on rural households for the year 2007. A switching probit model is used to estimate the impact of belonging to a migrant-sending household on the individual occupational choice categorized in four binary decisions: farm work, wage work, self-employment, and housework. The paper then goes on to estimate how the impact of migration differs across different types of migrant households identified along two additional lines: remittances and migration history. Results show that individual occupational choice in rural China is responsive to migration, at both the individual and the family levels, but the impacts differ: individual migration experience favors subsequent local off-farm work, whereas at the family level, migration drives the left-behinds to farming rather than to off-farm activities. Our results also point to the interplay of various channels through which migration influences rural employment patterns.

In the United States, there is little difference in annual income inequality and income mobility between the rural and urban sectors of the economy. This forms a sharp contrast with China where income inequality is greater and income mobility lower among rural households than among urban households. When incomes are averaged over three years and when adjustments are made for the size and composition of households, income inequality among all households differs little between China and the United States in the 1990s. Moreover when pooling rural households and urban households and when measuring annual income inequality and income mobility of the pooled households, the mobility of incomes of households in the United States differs little from that in China. Social welfare functions are posited that allow for a trade-off between increases in income and increases in income inequality. These suggest strong increases in well-being for urban households in China. The corresponding changes in rural China and in the United States are smaller. Four sets of data on households are drawn on to document these findings.

Information gathered from a sample of residents in four rural Pennsylvania communities is used to test the net effects of household resources (financial assets, supports, and community ties) upon respondents’ physical health and emotional well-being. Size and composition of households, types, and extent of insurance coverage, age, and aspects of household liquidity had major net effects upon physical health. Some measures of liquidity, a range of supports, and community ties had net impacts upon emotional well-being. The importance of considering the collective health needs of rural households in relation to their affordability and sustainability is stressed. The public policy implications of our results are discussed.

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.

Most poverty research has explored monetary poverty. This chapter presents and analyzes the global multidimensional poverty index (MPI) estimations for China. Using China Family Panel Studies (CFPS), we find China’s global MPI was 0.035 in 2010 and decreased significantly to 0.017 in 2014. The dimensional composition of MPI suggests that nutrition, education, safe drinking water, and cooking fuel contribute most to overall non-monetary poverty in China. Such analysis is also applied to subgroups, including geographic areas (rural/urban, east/central/west, provinces), as well as social characteristics such as gender of the household heads, age, education level, marital status, household size, migration status, ethnicity, and religion. We find the level and composition of poverty differs significantly across certain subgroups. We also find high levels of mismatch between monetary and multidimensional poverty at the household level, which highlights the importance of using both complementary measures to track progress in eradicating poverty.

This chapter assesses the effects of two rural community residential advantages – economic growth and availability of health services – upon residents’ health and emotional well-being.

A de facto experimental design divided communities into four analytical types based on their economic growth and health services. Household survey data were gathered via a drop-off/pickup procedure and 400 randomly selected households were surveyed in each location. Physical health was measured with a subset of items from the Medical Outcomes Study’s 36-item short form. A 10-item emotional well-being index was used. Beyond sociodemographic items, questions concerned household assets, medical problems, social supports, and community ties. Nested regression analyses were used to assess the effects of residential advantage upon health, net of potentially confounding factors.

Contrary to expectations, both residential advantages were necessary for improved health. The most important negative net effect on health was aging. Beyond household assets and community economic expansion, miles commuted to work was the next most important factor enhancing physical health. In all types of communities, residents’ emotional well-being scores were independent of age, but positively related to household income and religious involvement.

Obviously the study is limited by geography and by the small number of communities in each residential type. While we could measure the effects of household members not being able to address all health needs, we could not assess the effects of such problems on anyone else in the households beyond the respondents. Our survey approach is also unable to address the effects of rural residents being unable to meet their health needs over time.

Ours is the first study that we know of applying a de facto natural experimental design to assess community residential effects. The interrelated effects of residential community resources for residents’ health suggests that more studies like this one should be done.

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.