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This study aims to examine how Chinese rural-urban migrant workers' socio-economic status was associated with their decent work.

Grounded in the psychology of working theory (PWT), this study tested the path from rural-urban migrant workers' socio-economic status to decent work via work volition, with this path moderated by environmental uncertainty and trade union support. 470 rural-urban migrant workers from four manufacturing enterprises were investigated.

Results indicated that rural-urban migrant workers' socio-economic status was positively associated with rural-urban migrant workers' decent work through work volition. In addition, environmental uncertainty weakened the impact of socio-economic status on work volition while trade union support strengthened the relationship between socio-economic status and work volition.

The study contributes to the growing research on the PWT by testing its utility among rural-urban migrant workers in the Chinese context. The study also identifies the crucial effects of environmental uncertainty and trade union support, which are distinctive characters of contemporary China, in the formation process of rural-urban migrant workers' decent work. A detailed explanation of the results and implications is discussed in the end.

Purpose – The chapter studies gender occupational segregation of rural-urban migrant workers in China based on 2006 survey data from five Chinese cities.

Methodology – The multinomial logit (MNL) model is used to analyze migrant workers' occupational attainment by gender. The Oaxaca–Blinder decomposition method is employed to analyze factors affecting gender occupational segregation, which can be classified into observed factors and unobserved factors, including gender discrimination.

Findings – The index of dissimilarity based on the data shows that gender occupational segregation for migrant workers exists. The result of Oaxaca–Blinder decomposition shows that the unobserved effects account for more than three-fourths of the total gender occupational segregation.

Research limitations – The “index problem” and the assumption of the same occupational preference between men and women of the Oaxaca–Blinder decomposition need to be addressed further.

Social implications – The existing gender equality policies and social protection confined to urban workers should be extended to migrant workers. Increasing training investment in migrant workers is also recommended.

The purpose of this paper is to explore the housing behaviors of rural-urban migrant workers in China and the associated socioeconomic determinants.

The authors developed a model to empirically identify the effects of income in multi-dimension, destination expected to live in the future, local housing policy, and a set of individual characteristics on housing-related expenditure and home purchase of rural-urban migrants. A survey data collected by the Development Research Center of the State Council was employed.

The results showed that migrants’ expecting place to live in the future is a significant factor influencing their housing-related decisions. Including migrant workers in local housing security system of the host city could also significantly improve their incentive to purchase home. Income jointly with income stability affects migrants’ housing-related expenditure positively, but has an insignificant effect on home purchases in host city. The cost to buy home in city is still far away from migrant’s affordability is a likely explanation.

To the best of our knowledge, this is the first study aiming to investigate rural-urban migrants’ housing behavior in host city and to empirically identify the associated influencing factors.

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.

The purpose of this study is to assess the impact of rising food prices on food demand and nutrient intake among rural–urban migrants and whether such impact varies across income classes.

Using data from the China Health and Nutrition Survey (CHNS), this study adopts a quadratic almost ideal demand system (QUAIDS) for food demand elasticity and an indirect estimation method for nutrient elasticity to investigate the effects of rising food prices on food demand and nutrient intake among rural–urban migrants.

The estimated results indicate that an increase in the price of pork alone would lead to a larger reduction in most nutrients among rural–urban migrants than other single targeted food group, and a simultaneous rise in the price of all food groups would have a remarkably adverse effect on the nutritional status of rural–urban migrants in comparison to the nutritional effects of a rise in one targeted food group. In addition, the nutritional effects of food prices across income classes show that the nutritional status is particularly vulnerable to rising food prices among low-income rural–urban migrants.

This paper focuses on analyzing the impact of rising food prices on the nutritional status of rural–urban migrants, a topic that is very limited in the literature. This study provides a fresh look at the effect of volatile food prices on food demand and nutrient intake among rural–urban migrants. The results indicate that income growth would have a remarkable positive effect on nutrient intake for rural–urban migrants, especially for low-income rural–urban migrants. However, an increment in nutrients due to a growth in income would not be far from enough to cover the reduction in nutrients as a result of a simultaneous rise in price of all the studied food categories at the same rate.

The assumption that the family migrates as a unit downplays migrants’ circularity. This chapter focuses on China's rural–urban labor migrants that travel back and forth between the sites of work and home community and between places of work. I argue that migrants and their households pursue work flexibility in order to obtain the best of the urban and rural worlds, by gaining earnings from urban work and at the same time maintaining social and economic security in the countryside. Work flexibility demands flexibility in household organization, in the form of division of labor and collaboration between genders, generations, and households. Based on a study in Sichuan, I examine household biographies and narratives to identify migrants’ work and household strategies.

Migrants change jobs frequently, switch from one type of work to another and one location to another readily, and often return to the home village for months or even years before pursuing migrant work again. Not only are migrants ready to split the household between the city and the countryside, but also they frequently change from one form of division of labor to another. The inside–outside model, where the wife stays in the village and the husband does migrant work, used to be the dominant arrangement. Over time, the outside–outside model, where both the husband and wife migrate to work and leave behind other family members, is increasingly popular. This is facilitated by intergenerational and interhousehold division of labor in the form of assistance by the extended family. Intergenerational division of labor takes place when the second generation is replacing the parents in migrant work. This research's findings support the notion that rural–urban migrants are fast becoming a hybrid segment of Chinese society, playing dual roles of farmers and urban workers and straddling the peasant and urban worlds.

The purpose of this paper is to examine the impacts of rural–urban migration on agricultural (labor) productivity in China.

This paper closely follows the framework of Rozelle et al. (1999), Taylor et al. (2003) and Atamanov and Van den Berg (2012)—new economics of labor migration—to demonstrate the heterogeneous effects of migration on agricultural productivity, using simultaneous equations extended by an interaction term of off-farm income and household wealth.

The results empirically verify two key theoretical predictions: the loss of labor available for agricultural activities decreases rice yield per worker per day, and the off-farm income that may relax liquidity constraints has a positive offsetting effect, which becomes weaker with increasing household wealth. The final calculation based on these two contradictory influences indicates that the lost-labor effect dominates across all levels of household wealth, resulting in a negative net impact of rural–urban migration on agricultural productivity. The key results are shown to hold for land productivity as well.

To the best of the author’s knowledge, it is the first paper to examine the impacts of rural–urban migration on labor productivity and the heterogeneity across households with different levels of wealth. A major policy issue facing national leaders is whether the massive and ongoing outflow of labor will be a threat to China’s rural development and its food security in the future. This paper provides insightful ideas in a different way.

The purpose of this paper is to examine spending pattern of Chinese migrant workers from rural regions to urban cities from a social identity perspective, which stems from Chinese Hukou system (household registry system). This study proposes a theoretical model for consumer utility function (a combination of economic utility and social utility) which takes into account the choice of social identification.

This study focusses on the influence of rural and urban identification on consumption patterns of Chinese migrant workers. These assumptions were verified based on a survey with 650 samples in Shanghai, one of the most developed cities in China.

Results indicate that affirmative social identification has a significantly positive effect on the level of consumption for migrant workers. High level of rural identification has a more significant impact than urban identification on survival consumption including food, medicine and family support. On the other hand, high level of urban identification has a more significant impact than rural identification on development consumption including education for children, training and recreation. Besides, there are significant interaction effects between income and identity on consumption, which confirms the identity effect on classical economic model and is in line with identity economics’ arguments.

This study outlines the importance of social identity in both economics and marketing domains and proposes a theoretical model which advances understanding of a model on similar lines proposed by Akerlof and Kranton’s (2000) and Benjamin et al. (2010). Empirical tests with Chinese migrant workers’ data present that their consumption patterns are influenced by their level of social identifications.

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.

To explore income inequality in urban China, this paper investigates disparities between- and within-urban locals and rural migrants from 2002 to 2013, using three waves of the China Household Income Project (CHIP) data. While the existing literature concentrates on the wage disparity between these two groups, our results show that the Gini among the migrants increased by 17.86% between 2007 and 2013 and that among the locals increased by 15.54% from 2002 to 2007. The urban–migrant average income gap decreased during the whole period mainly due to higher growth in migrants’ average income. Estimates based on Mincerian earnings functions for both groups reveal the significant role of the education, occupation and type of contract in determining the within-group inequality. In addition, using a recentred influence function (RIF), we observe that short-term and other types of contracts, duration of the job, in-system ownership, marriage and skill have inequality-enhancing effects for migrants. The variation of skills has a larger impact on the income disparity among migrants than on that among urban locals. The RIF-based Blinder–Oaxaca decomposition of the mean difference of incomes shows that labour market discrimination between the two groups is not significant; however, both pure explained and unexplained differences are significant when applying the RIF decomposition to the variance of the logarithms of incomes. While the type of contract significantly reduces the pure explained difference between migrants and urban locals, occupation has a positive impact on this difference between these two groups. The heterogenity analysis shows that the factors influencing incomes in these two groups are different. We recommend labour market intervention to reduce unreasonable occupational and sectoral disparities, especially in the net inflow provinces, to mitigate urban inequality in China effectively.