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The purpose of this paper is twofold, namely, to investigate if living and working abroad influences the (subjective) health of return migrants and to understand if there are any spillovers of return-migrant members onto health conditions of the family members left behind.

To that end, this paper uses the DoTM (Development on the Move) Migration Survey 2009, as well a propensity score matching to address selectivity on observables and IV (instrumental variables) for the selectivity on unobservables.

Results suggest that when equalized on observables, return migrants have better health than non-migrants. However, the reverse causality channel (less healthy individuals are more inclined to return) works to attenuate the true effect of return migration on health. Results further suggest a positive spillover effect of return migration on the health of the family members left behind, being mainly driven by the work of remittances sent while abroad, and not by the returned wealth or by the health knowledge transfer.

This paper offers at least two novelty lines to contribute to the current sparse of knowledge. First, it is among the scarce papers, and probably the only quantitative one, to investigate the nexus between return migration and health outcomes. Second, it heavily dwells on the role of selectivity (both on observables and unobservables) in determining the true (causal) effect of return migration on health.

This study aims to evaluate the link between climate/weather change and farmer migration in Bihar, India. The influence of cognitive conditions and climate-related stress on farmer migration decisions and the socioeconomic characteristics of migrating and non-migrating farm households are analysed. The focus is the role of migration in access to climate and agricultural extension services and the contribution of migration to enhanced farmer coping capacity.

A primary survey was conducted of farm households in seven districts of Bihar, India. Farmer perceptions of climate change were analysed using the mental map technique. The role of socioeconomic characteristics in farm household migration was evaluated using binary logistic regression, and the influence of migration on access to climate and agricultural extension services and the adaptive capacity of migrating households was investigated using descriptive statistics.

Climate-induced livelihood risk factors are one of the major drivers of farmer’s migration. The farmers’ perception on climate change influences migration along with the socioeconomic characteristics. There is a significant difference between migrating and non-migrating farm households in the utilization of instructions, knowledge and technology based climate and agriculture extension services. Benefits from receipt of remittance, knowledge and social networks from the host region enhances migrating households’ adaptive capacity.

This study provides micro-evidence of the contribution of migration to farmer adaptive capacity and access to climate and agricultural extension services, which will benefit analyses of climate-induced migration in other developing countries with higher agricultural dependence. In addition, valuable insights are delivered on policy requirements to reduce farmer vulnerability to climate change.

Using a recently compiled dataset on migration and remittances in Ghana, the purpose of this paper is to estimate the determinants of an individual's likelihood to be an internal migrant and the relationship between internal migration and welfare.

The paper uses treatment regression techniques to assess the characteristics of Ghanaian migrants, the determinants of migration, and its impact on household welfare.

The paper finds that the likelihood to migrate is determined by a combination of individual (pull) and community‐level (push) characteristics. The probability of migration is higher for younger and more educated individuals, but communities with higher levels of literacy, higher rates of subsidized medical care, and better access to water and sanitation are less likely to produce migrants. It is found that households with migrants tend to be better off than similar households without migrants, even after controlling for the fact that households with migrants are a non‐random sample of Ghanaians. However, the positive relationship is only true for households with at least one migrant in urban areas.

Clearly, if the authors had access to panel data, they would have been able to do something very nice and clean (on both theoretical and econometric grounds).

This paper adds to the Ghana migration literature by offering a novel empirical assessment of the characteristics of Ghanaian migrants, the determinants of migration, and its impact on household welfare by drawing on a recently‐assembled, nationally‐representative sample of Ghanaian households.

The purpose of this paper is twofold: first, to examine which factors are important in determining the post-migration education among rural-urban migrants in Indonesia. Second, to investigate whether investing in post-migration education in the cities improves the labour market performances of rural-urban migrants. The labour market performances are measured by the occupational (work) statuses and earnings (wages) at destination.

The determinants of post-migration education are estimated using a binary probit and ordinary least square, while a multinomial logit model and a two-step procedure of Lee’s selection-biased correction based on the multinomial logit are used to examine the effects of post-migration education on the labour market performances of migrants measured by occupational status and by wages. The main source of the data used in this study is the Rural-Urban Migration in China and Indonesia (RUMiCI) 2009-2011 survey conducted in the four largest recent migrant destination cities in Indonesia including Tangerang, Medan, Samarinda, and Makassar.

Post-migration education contributes significantly to the labour market performance in terms of work status and wages, compared to pre-migration education. In terms of work status, migrants with more post-migration education are more likely to be employed in the formal sector compared to migrants with less or no post-migration education. Relating to earnings, migrants with more post-migration education also tend to be paid more than those migrants with less or no post-migration education.

The role of post-migration education in the case of rural-urban migration particularly in developing countries is a relatively neglected area of research. One possible reason is because of the lack of data for rural-urban migration particularly in the case of developing countries. This study is taking advantage by using a new data set from RUMiCI focusing specifically on the rural-urban migrants in the four largest recent migrant destination cities in Indonesia including Tangerang, Medan, Samarinda, and Makassar.

The purpose of this paper is to analyze the impact of interstate migration of individuals with different qualification levels on human capital formation in the migrant’s place of origin.

A dynamic panel model with data from the National Household Sample Survey (Pesquisa Nacional por Amostra de Domicílios (PNAD)), between 2001 and 2013, is used.

The results indicate that the migration of high-skilled people boosts school attendance in fifth grade elementary school and first year high school, but it does not affect the levels of those entering first year in higher education. However, the migration of low-skilled workers discourages people from entering higher education, as those living in less developed areas do not need higher education qualifications to get higher incomes. Thus, they migrate to developed areas with the education levels they already have. The brain gain hypothesis is not, therefore, confirmed in the context of higher education attendance.

This paper’s contribution is its investigation into the effect of interstate migration on human capital formation in Brazil, through testing the brain gain hypothesis in a national context. In addition, it also analyzes the impact of the migration of people of low and intermediate qualification levels on human capital, with a view to verifying if the mobility of people with other levels of qualification could discourage the formation of human capital.

Surveying hard-to-reach groups is difficult but necessary to prevent selection effects and biased sampling. Their diversity makes it difficult to recommend efficient solutions because they bring challenges that are specific to each group. Among these are limited ability in official languages, literacy problems, physical or mental disabilities or the particularities of subgroups such as ethnic, religious and cultural minorities, adolescents and the elderly. Drawing notably on lessons from migration research, this paper reviews the contemporary issues associated with five sets of circumstances that may result in groups being unreached by transport surveys.

Over the last few years, impacts of environmental variability on population migration have been an increasing concern over the world. Estimates have suggested that between 25 million and 1 billion people could be displaced by climate change over the next 40 years. Though it is very difficult to delineate the specific drivers behind human migration, an attempt has been made in this chapter to discuss various reported cases across the world and more specifically, India where environment has played a major role in population movement. The chapter begins by outlining important definitions of migration and environmentally induced migration. It focuses on how environmental change and environmental hazards, especially water scarcity, contribute to human migration by exploring the mechanisms through which vulnerability and migration are linked. The process of movement and migration is usually subject to a complex set of push and pull forces, where push forces relate to the source area while pull factors relate to the destination. Emphasizing water scarcity as one of the prime push factors behind migration, various instances of population movement have been discussed from various parts of India. Understanding the importance of migration in development of a sustainable society, the chapter identifies various gaps that need to be addressed, which, in turn, will help in incorporating environment-induced migration into the decision-making process.

Seasonal labour migration is a common form of temporary migration where the work of the migrant labour depends on seasonal conditions and is performed only during that period of year. This paper aims to identify the factors and subfactors of temporary labour migration from the existing literature.

The paper is based on an extensive review of the literature on temporary labour migration. Studies done from 1990 to 2016 were considered for review. The literatures from research articles, book chapters, working papers, conference papers and field-based project reports from various disciplines, like economics, sociology, anthropology, psychology and management studies were reviewed for critically analysing various factors affecting seasonal labour migration.

A total of five key factors and 60 subfactors of temporary labour migration were documented from previous studies. The findings of the study are organized under five thematic segments: economic factors, social factors, environmental factors, policy-related factors and psychological factors New aspects of seasonal migration were identified such as “role of labour contractors ”, “inter-generational mobility”, “social networks”, “grassroot politics”, “migrant’s relationship with the agents”, “labour registration process”, “market intervention” and “civil society intervention” after consultation with the subject experts and field study.

The paper restricts itself to include aspects of temporary labour migration. Only the factors and subfactors affecting temporary migration are taken into purview. Further the findings of the paper can be empirically tested to know the significance of each factor and subfactor.

The paper has implications for better understanding of the temporary labour migration process in different context by focussing extensively on the factors of migration. The factors identified can be empirically tested in regional and local context, which would provide effective insights for policy formulation for the welfare and protection of the migrant workers.

The paper fulfils an identified need to provide a holistic review for understanding and documenting various factors and subfactors that affect the process of temporary labour migration.

Purpose: To explore emotional support, daily housework assistance, and economic support for older adults provided by the Vietnamese family within the context of the impacts of socio-economic, demographic, and other factors.

Methodology: (1) The researchers used data from censuses taken from 1989 to 2019; national surveys of Internal Migration, Labor and Employment and other topics; and recent large sample sociological surveys (2) adapted a modified Diamond Care Model (Ochiai, 2009) to analyze effects of the characteristics of older adults; and of the country’s laws, policies, and socio-economic changes, on the families’ caregiving activities supporting the older adults.

Findings: The family is still the most important institution providing care for older adults in Viet Nam. Most older people live with their children and see this as an age-old security solution despite differences related to lifestyles and interests. However, when the average number of working-age people per older person decreases, as older adults live longer, household sizes are smaller, and there is increased large migration, the demand for non-family caregiving for older adults will increase. Since social services to help meet this demand are limited, the traditional family support system for the elderly in Viet Nam will face many challenges as families try to assure the quality of care needed in the very near future.

Value: This chapter shows systematically a relationship between elderly care in the Vietnamese family and socio-economic, demographic, and associated factors based on comprehensive data sources. The results can help us think about how to create an appropriate future model for taking care of older adults in Viet Nam that combines the efforts of families and the support of comprehensive social policies by the community.