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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 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.

The purpose of this paper is to study the dynamic change of the migrant labor market in China from 2002 to 2007 using two comparable data sets.

To understand the factors behind the wage change, the authors use the Oaxaca-Blinder decomposition (Oaxaca, 1973; Blinder, 1973) method to study the hourly wage change over this five-year period.

The focus is on the rural-urban migration decision, the wage structure of migrants, the labor market segmentation between migrants and urban natives, and the changes of these aspects from 2002 to 2007. The paper finds that prior migration experience is a key factor for the migration decision of rural household members, and its importance keeps increasing from 2002 to 2007. The results show that there is a significant increase in wages among both migrants and urban natives over this five-year period, but migrants have enjoyed faster wage growth, and most of the increase of wages among migrants can be attributed to the increase of returns to their characteristics. The authors also find evidence suggesting convergence of urban labor markets for migrants and for urban natives during this five-year period.

In order to make the 2002 and 2007 data sets comparable, the authors had to restrict the observations with fixed residence only, and can only include seven cities. These limit the representativeness of the sample. When interpret the findings in this paper, it is important to keep this in mind.

Due to the scarcity of data, there are few studies on the dynamics of the migrating population and the migrant labor market. Since the urban natives and migrants are still segmented in the labor market, the migrant labor market may have its own characteristics, and also, because of the increasing importance of the migrants in Chinese society, knowledge of the evolution of the migrant labor market is crucial for grasping the whole story behind the Chinese economic miracle.

The purpose of this paper is to examine the earnings differentials between the locals and the rural–urban migrants in urban labor market in Vietnam.

Using the new Vietnam Rural-Urban Migration Survey 2013 (VRUMS2013) that is specifically designed for rural–urban migration, the author applies Appleton et al.’s (1999) procedure correcting for potential selectivity to decompose the offered earnings gap between the locals and the rural–urban migrants into within- and between-occupation pay differential. Bootstrapping is used to derive the standard errors for the decomposition results. The author further applies the propensity score matching (PSM) method to check whether the results are robust by restricting the sample to the “common support.”

Within-job difference, particularly, the favorable treatment toward urban workers contributes significantly to the overall and total unexplained earnings gap. Further, between-job pay differential attributed to the over-representation of urban workers in high-paying job also helps to widen the gap. These results are robust restricting to the “common support” sample using PSM.

Due to the sample size, occupations are only classified into three broad categories. Finer classification will allow a better comparison between the contributions of between and within-occupation to earning inequality. The data are only limited to a few cities and do not include other urban centers that also receive rural–urban migrants.

Policies to promote equal pay and alleviate within-job “discrimination,” especially the preferential treatment favoring the locals (rather than to provide equal access to different jobs) are crucial for migrants’ labor outcome. Moreover, this study can, to some extent, be seen as a timely contribution for the debate on household registration reform in general and in Vietnam specifically. Given China’s announcement to grant permanent household registration (hukou) to unregistrated migrants in late 2015, investigating whether there is a two-tier labor market in the cities in Vietnam is particularly important for the ongoing debate regarding future of household registration system (ho khau).

This is the first study in Vietnam on rural–urban migration and occupation segregation – an area that has been relatively less well studied in developing/transitional countries. Vietnam is also one of the few developing countries who have household registration system in place. This has made it an interesting case. The author uses a new survey data to apply the Appleton et al. (1999) decomposition on the offered wage gap rather than observed wage gap. Standard errors of the decomposition results are bootstrapped and a robust check using propensity score method is conducted.

Rural–urban migration has led to an increase in the community’s need for housing in the migration area. The demand for housing is getting higher while the land availability does not increase so that house prices will continue to increase. This study aims to estimate the impact of immigration on urban housing prices in Indonesia.

This study examines the effect of immigration on urban housing prices at the city level in Indonesia by using 14 major cities data from 2012 to 2020 to build a panel data model. The model also incorporates urban economic conditions as control variables.

From the national level, the authors find that inter-regional migration has a significant and positive impact on urban housing prices. Based on the results, this paper suggested addressing the volatility of house prices through the provision of decent and affordable housing improvement to meet the growing needs and demands of the immigrant population.

This study still has several limitations: the sample of cities used is not comprehensive enough, and the time period used is not long enough; the spatial impact on house prices is not taken into account, and the effect of migrant characteristics in each city has not been considered.

There is limited research on the impact of immigration on urban housing prices in city levels, especially in the case of Indonesia. In addition, recent migration is used to proxy the immigration pattern. This paper provides a valuable contribution to the empirical literature on the effect of immigration at the city level in developing countries.

This study uses migrant household survey data from 2008 to 2009 to examine how parental migration decisions are associated with the nutritional status of children in rural and urban China. Results from instrumental variables regressions show a substantial adverse effect of children’s exposure to parental migration on height-for-age Z scores of left-behind children relative to children who migrate with their parents. Additional results from a standard Blinder–Oaxaca decomposition, a quantile decomposition, and a counterfactual distribution analysis all confirm that children who are left behind in rural villages – usually because of the oppressive hukou system – have poorer nutritional status than children who migrate with their parents, and the gaps are biggest at lower portions of the distribution.

The rate of urbanization and its implications in post‐Mao China have been underestimated in most recent studies on China’s urbanization as they have excluded the rising urban floating population. Making use of recently available floating population survey data assesses the significance of China’s urban floating population and its socio‐economic consequences and suggests remedial measures to control its flow. Finds that the floating population caused China to experience one of the highest urban population growths among the developing countries. The floating population has increased rural‐urban labour mobility and helped to eliminate the dualistic nature of Chinese society. But it has also caused oveer‐urbanization and environmental pollution and created certain social problems. To control the flow of the urban floating population, argues that the government should increasingly rely on indirect market‐based control mechanisms.

The purpose of this paper is to explore the determinants of self‐employment among rural to urban migrants in China.

The analysis is based on a sample of migrant household heads from the 2008 Rural‐Urban Migration in China and Indonesia (RUMiCI) survey. An estimate of the wage differential between self‐employed and employed workers is obtained by means of an endogenous switching model and used to estimate the employment choice. The procedure is extended to account for migration selectivity bias, for alternative statuses before migration, and for different post‐migration employment histories.

Self‐employed migrants are positively selected with respect to their unobserved characteristics; their wages are substantially higher than what they would have obtained had they chosen paid work. Furthermore, even after accounting for the substantial heterogeneity across cities, industries, occupations, and after correcting for the migration selectivity bias, the wage differential is found to be an important determinant of self‐employment.

The finding that market imperfections do not constrain the self‐employment choice of migrants does not imply that reforms designed to eliminate institutional barriers are undesirable. Policy should target the reduction of gaps between urban residents and migrants (such as the household registration system – hukou), so that migrants can access new business opportunities which are currently a prerogative of urban residents.

The paper analyses the determinants of self‐employment using a recent survey based on a sample of rural‐to‐urban migrants in China. The key findings indicate that migrants who choose self‐employment are positively selected in terms of their unobservable characteristics. Moreover, the wage differential has a strong positive effect on the probability of choosing self‐employment. In the transition to a market economy, which is taking place in China, the identification of the determinants of self‐employment is crucial.

This article explores the migration intentions (MIs) embedded in population movements from rural to urban areas in Bangladesh. In this country, urban-centric development policies have made cities epicentres of commerce and industrialisation, offering significant employment and livelihood opportunities. This rapid transformation has generated several socio-psychological factors that are influencing the willingness of rural populations to migrate to cities for better jobs, lifestyles and services.

The present study adopted the theory of planned behaviour (TPB) as a conceptual model to assess the behavioural and psychological factors underlying MIs.

The results of the structural equation modelling (SEM) indicate that MIs are mainly influenced by subjective norms (SN) and, to a lesser extent, attitudes towards migration (ATM) and perceived behavioural control (PBC).

The analysis drew on an original dataset built through interviews with migrants from rural areas employed in the ready-made garment (RMG) industry in four selective areas of the Metropolitan City of Chittagong.