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Using the 2001 Census data, this paper analyses district‐level rural‐to‐urban migration rates (both intra‐state and inter‐state) among males and females separately. Though many of the relatively poor and backward states actually show large population mobility, male migration is also prominent in the relatively high‐income states. Rural women, on the other hand, usually migrate within the boundaries of the states. The social networks effects are prevalent among the short‐distance migrants, and the North/South divide in the Indian context is indeed a significant phenomenon, with the exception of a few metropolitan cities. Looking at the effect of factors at the place of destination, prospects for better job opportunities are a major determinant of male migration. Low castes, minority groups and women show network effects. The paper finally brings out the effect of migration on health.

The purpose of this paper is to investigate the effect of education on migration decisions focusing on rural and urban in-migrants by comparing the 2005/2006 and 2012/2013 rounds of the Ghana Living Standards Survey (GLSS5 and GLSS6). After correcting for selectivity bias, the authors observed that anticipated welfare gain and socio-economic variables such as sector of employment, sex, experience, age, educational level and marital status significantly affect an individual’s migration decision.

The authors made use of Sjaastad’s (1962) human capital framework as a basis for examining the impact of education on migration. The migration decision equation was based on the Heckman two stage procedure.

While educational attainment is observed to have a positive effect on migration decision in the period 2005/2006, the authors find a negative effect of educational attainment on migration decision in the period 2012/2013. The effect of educational attainment on migration decision in 2005/2006 for urban in-migrant is higher than the effect for rural in-migrant, with its significance varying for the different stages of educational attainment. In absolute terms, whereas the effect of secondary educational attainment on migration decisions for urban in-migrant is higher than that of rural in-migrant, the reverse holds for higher educational attainment during the period 2012/2013.

Based on the mixed effect of education on migration decision as evident from the study, policies to enhance the educational system in Ghana should be complemented with job creations in the entire country. Moreover, special attention should be given to the rural sector in such a way that the jobs to be created in the sector do not require skilled workers. With quality education and job creation, the welfare of individuals living in urban and rural areas will be enhanced.

In spite of the importance of education in migration decisions, there is scanty literature on the rural-urban dimension. To the best of the author’s knowledge there is no literature in the Ghanaian context which examines the rural and urban perspective of the impact of education on migration with a much recent data. Further, the author consider how the determinants of migration decision have changed over time focusing on rural and urban perspectives.

Many countries have experienced, or are experiencing, urbanization. One such example is China. Even though the large‐scale rural‐urban migration seems chaotic on the surface, there are certain underlying forces driving individual decisions. The purpose of this paper is to provide some understanding of the relationship between human capital, migration, and occupational choices.

The paper starts with an overlapping generations model. Human capital plays various roles across different occupations – it does not affect the income of farmers, it affects income of workers linearly, and it has increasing returns in rural non‐farm business. The paper then derives income profiles for individuals with heterogeneous human capital, and finds the human capital thresholds of occupations. The paper calibrates the model to China, and simulates the model to answer two questions: how does an improving human capital distribution affect rural wages, quantities of migrants and return migrants? How does a fast‐growing urban wage rate affect rural wages, quantities of migrants and return migrants?

First, depending on the initial human capital level, policies aiming to enhance human capital may have different impacts on migration. If the initial human capital level is low, these policies will yield more permanent migrants; on the contrary, if the initial human capital is at a relatively high level, then a shrinking permanent migrant class with a growing entrepreneur class can be expected. This results in an inverted U‐shaped relation between the initial human capital level and the size of the permanent migrant class. Second, even though the non‐farm business of return migrants helps raise rural wages, the income inequality between rural and urban areas is not eliminated and migration is persistent. Third, borrowing constraints limit the size of rural non‐farm businesses and slow down the development of rural industry. The fourth and final point is that, migration costs discourage labor mobility and reduce the quantities of both permanent migrants and entrepreneurs.

This is an original paper on this subject.

Vietnam is experiencing high rates of young adult migration from rural hometowns to urban cities in search of new economic and social opportunities. However, limited internal migration research has examined the well-being of this population once they are in the urban destinations, as well as their interactions with the new lifestyles in the cities. Thus, the purpose of this paper is to explore the social transition of young Vietnamese migrants into city life.

In-depth interviews were conducted among ten female and six male temporary unmarried migrants, between ages of 18 and 25 years, currently living in Ha Noi through purposive sampling.

Despite a higher income in the city, young migrants often suffer from physical and mental health strains that decrease their overall well-being, caused by the factors such as barriers to assimilation to new lifestyles, continued attachment to origin hometowns, financial pressures, and poor living conditions. Important aspects in pre-migration expectations and actual experiences influenced the psychosocial well-being of these young migrants as they transitioned into adulthood during their migration process. Migration to the city and assimilation into city life also changed young migrants’ views on lifestyles and behaviors often considered misconducts in their rural hometowns, such as premarital sex. Female migrants faced higher stigmatization compared to male migrants, often described by fellow migrants as becoming “loose” in the new city.

The study findings highlight the important gender-specific implications for health services and programs to improve young migrants’ well-being in the city.

The discussion in this article will attempt to establish the general pattern of demographic structural change in Peninsular Malaysia and its constituent regions, and to examine the extent to which government policy (restructuring population and decreasing poverty) has influenced the pattern of regional inequalities in Peninsular Malaysia. Although rural-to-urban migration has contributed to decreasing poverty and income distribution, it has also had side effects for the urban and rural population. In the urban areas, these include urban poverty, housing problems and a high influx of foreign workers; in the rural areas, they include an increased dependency ratio, greater gender inequality, increased poverty and abandoned housing.

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 objective of this work was to analyze the income differential of the rural–urban worker in relation to the rural–rural worker and in relation to the urban–urban worker in the Brazilian labor market. Two databases were used, the 2005 and 2015 PNADs (Pesquisa Nacional Por Amostra de Domicílios).

The methodology is the decomposition approach proposed by Firpo et al. (2007, 2009). This method adopts estimates of unconditional quantile regressions, based on the concepts of influence function and recentered influence function (RIF).

Among the main results, income differentials were shown to benefit the urban–urban worker when compared to the rural–urban worker, and income differences to the benefit of the rural–urban workers, when these were compared to the rural–rural workers. The educational variable was relevant in explaining the income disparity and expressing increasing effects in the higher quantiles.

The methodology used in this work is considered recent in the literature as it is based on the RIF regression (Firpo et al., 2007, 2009). The main advantage of this method is the possibility of assigning a “composition effect” and a “wage structure effect” for each variable that determines the level of income at different points of the income distribution.

This paper examines the impact of residents’ human capital investment inequality on the urban–rural income gap, using China’s provincial panel data from 1997 to 2013. The results show that, at the national level as well as at the regional level, residents’ overall human capital investment inequality has a positive significant impact on the urban–rural income gap. In addition, the impact of overall human capital investment inequality increased monotonically from the eastern region inward to the western region. In terms of the relative impact of each component of human capital investment inequality on the urban–rural income gap, migration investment inequality appears to have the greatest impact at the national level, whereas health investment inequality has the greatest impact on the urban–rural income gap in the eastern region, and education investment inequality exhibits the greatest impact in the central and western regions. We also investigate the impact of human capital investment inequality on the urban–rural income gap over different periods. The results show that residents’ overall human capital investment inequality had a positive impact on the urban–rural income gap in the period 1997–2008, but the impact rapidly shrunk in 2009–2013. Furthermore, the impact of residents’ health investment inequality on the urban–rural income gap shows a downward trend, and the impact of residents’ education investment inequality trended slightly upward from 1997 to 2008, and then rapidly shrunk in 2009–2013. Finally, the impact of residents’ migration investment inequality was only significant in 1997–2002.

The purpose of this paper is to understand disparities in child immunization and nutritional status among children by migration status in urban India.

The study utilized third round of National Family Health Survey (NFHS, 2005-2006) data, which is the Indian version of Demographic and Health Survey. Descriptive statistics and binary logistic regression models were used to study the levels and factors associated with child nutrition and immunization by migration status.

Results suggest that malnutrition and no immunization are very high among children of rural-urban migrants and full immunization is lower than urban non-migrants and urban-urban migrants. More than half of the children from marginalized households suffer from the problem of undernutrition among rural-urban migrants. Multivariate results show economic status, age of the mother, education, caste and media exposure are negatively associated with malnutrition and positively associated with immunization. Children from south, north-east and east are found to have lesser chance of being malnourished than north region of India.

The challenges experienced by rural-urban migrants are reflected over their children and needs a greater attention among policy makers in India.

The finding of this study that children of the rural-urban migrants are in a disadvantageous position in terms of nutrition and immunization. This reflects the precarious condition of rural-urban migrants who initially settles in poor neighbourhoods, which are characterized by lack of adequate sanitation and clean water, poor housing and overcrowding, and difficulty in access to modern health services brought out by many researchers.

This study aims to gauge the effect of rural–urban migration and its challenges on the urban development of Bengaluru. This study examines the driving forces behind urbanization and its impact on social, economic and environment areas. The research helps to establish the sustainable city planning, after evaluation of specific challenges of zones, and this mitigation will optimize government investment and reduce cost.

Bengaluru is used as a study area to examine the interaction of migration and urban development. The study covers the period between 2011 and 2019. Panel data analysis is applied to measure the effect of urban development indicators on urban migration. The authors applied the integrated urban metabolism analysis tool to quantify the urban development indicators and identified the most critical areas for migrants. Later, authors proposed mitigation measures based on alternate scenario approach.

The authors found that there is a mixed effect of urban migration on urban development across various zones in Bengaluru. Besides, the authors suggest how planned collaboration should play a significant role in urban planning and optimize city planning judiciously. Effective mitigation measures should be developed based on zone-specific core issues, and practical trainings, research, public awareness campaigns and skill up-gradation of migrants would enhance the socio-economic and environmental conditions.

The study will support the ongoing and upcoming initiatives launched by the Government of India i.e. Awas Yojna, Atmanirbhar Bharat and Swach Bharat.

The structured city planning suggested in the study will help to save wastage of resources and cost and time of developers and policymakers. This will also help to upgrade the status of migrants and enhance the ambience of city around social, economic and environment fronts.

The first of its kind of innovative model mapped in the study area establishes a link between strategic city planning under rural–urban migration and urban development.