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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.

This paper aims to investigate the effect of rural-urban income gap on agricultural growth in China and its dynamics over time and across regions since reform and opening up.

Two types of indices are constructed to measure the rural-urban income gap: the intra-provincial index and the inter-provincial index. A provincial panel data from 1978 to 2010 and growth accounting method are used to estimate the size of the adverse effect of rural-urban income gap on agricultural growth in China.

The empirical results show that both indices of rural-urban income gaps are negatively associated with agriculture output, but the inter-provincial rural-urban income gap produces a larger adverse effect than the intra-provincial rural-urban income gap. Growth accounting analysis further shows that such adverse effects are decreasing over time and are larger in the central provinces. The results represent resource diversion effects of rural-urban income gap on agriculture.

This paper bridges the gap in existing literature on the relationship between sectoral income gaps and agricultural growth, which confirms Schultz's argument that agricultural activities are efficient even in developing countries and the rural resources diverted out by income gap are not surplus. The results imply that equalized rural-urban and regional policies are required to maintain sustainable agricultural growth in China.

The purpose of this paper is to examine the relationship between financial development and rural-urban income inequality (INQ) in South Asian Association for Regional Cooperation (SAARC) countries using panel data from 1986-2012.

The stationarity properties are checked by the LLC and IPS panel unit root tests. The paper applied the Pedroni’s panel co-integration test to examine the existence of the long-run relationship and coefficients of co-integration are examined by fully modified ordinary least squares. The short-term and long-run causality is examined by panel Granger causality.

The results of Pedroni co-integration test indicate that there exists a long-run relationship among the variables. The findings suggest that financial development increases rural-urban inequality whereas trade openness reduces rural-urban inequality. The empirical results of panel Granger causality indicate evidence of short-run causality confirms that economic growth and financial development causes rural-urban INQ.

The present study recommends for appropriate economic and financial reforms focusing on financial inclusion to reduce rural-urban INQ in SAARC countries. Financial policies geared toward agriculture and rural population should be adopted to reduce the prevailing rural-urban INQ in SAARC region.

Till date, there is hardly any study exploring the causal relationship between financial development and rural-urban INQ for SAARC countries by using panel co-integration and causality techniques. So the contribution of the paper is to fill these research gaps in the literature.

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.

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.

The purpose of this paper is to investigate the impact of financial development on the rural‐urban income inequality in India using annual data from 1965 to 2008.

The Ng‐Perron unit root test is utilised to check for the order of integration of the variables. The long run relation is examined by implementing the ARDL bounds testing approach to cointegration.

The results confirm a relation among the variables. Evidence suggest that financial development, economic growth and consumer prices aggravate rural‐urban income inequality in the long run.

The present study offers fresh insights to policy makers on crafting appropriate policies that reduce rural‐urban income inequality in India.

The contribution of this paper is lies in extending the literature in the context of India towards an extensively researched area of rural‐urban divide but in time series framework and utilization of a better approach of time series approach, i.e. ARDL. Specifically, to the best of the authors' knowledge, this is the first empirical study to test poverty‐finance nexus using the basic principles of the GJ hypothesis and provide evidence of short‐ and long‐run dynamics on the postulated relation for India.

The purpose of this paper is to examine the impact of urbanicity on rural–urban migrants' dietary diversity and nutrition intake and whether its effect differs across various urban environments of migrants.

Using the individual- and time-invariant fixed effects (two-way FE) model and five-year panel data from the China Health and Nutrition Survey (CHNS), this paper estimates a linear and nonlinear relationship between urbanicity and nutrition. The paper also explores the spatial heterogeneity between rural–urban migrants and rural–suburban migrants. Dietary diversity, total energy intake and the shares of energy obtained from protein and fat, respectively, are used to measure rural–urban migrants' nutrition on both quality and quantity aspects.

The study shows that rural–urban migrants have experienced access to more diverse, convenient and prepared foods, and the food variety consumed is positively associated with community urbanicity. Energy intake is positively and significantly affected by community urbanicity, and it also varies with per capita household income. The obvious inverse U-shaped relationship reveals that improving community urbanicity promotes an increase in the shares of energy obtained from protein and fat at a decreasing rate, until reaching the urbanicity index threshold of 66.69 and 54.26, respectively.

This paper focuses on the nutritional status of rural–urban migrants, an important pillar for China's development, which is often neglected in the research. It examines the urbanicity and the nutrition of migrants in China, which provides a new perspective to understand the dietary and nutritional intake among migrants in the economic and social development. Moreover, the urbanicity index performs better at measuring urban feathers rather than the traditional rural/urban dichotomous classification.

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.

Equity in access to and use of healthcare resources is a global development agenda. Policymakers’ knowledge of the sources of differences in household healthcare spending is crucial for effective policy. This paper aims to investigate the differences in the determinants of household healthcare expenditure across space and along selected quantiles of healthcare expenditure in Ghana. The determinants of rural-urban healthcare expenditure gap are also explored.

Data was obtained from the sixth round of the Ghana Living Standards Survey (GLSS 6) conducted in 2013. An unconditional quantile regression (UQR) and a decomposition technique based on UQR, adjusted for sample selection bias, were applied.

The results indicate that differences in the determinants of household healthcare expenditure across space and along quantiles are driven by individual-level variables. Besides, the rural-urban health expenditure gap is greatest among households in the lower quantiles and this gap is largely driven by differences in household income per capita and percentage of household members enrolled on health insurance policies.

The findings show that there are differences in the determinants of household health expenditure along with the income distribution, as well as between rural and urban localities, which would call for targeted policies to address these inequalities.

Recent educational research has demonstrated rural‐urban gaps in achievement and schooling conditions. Evidence from developing countries is still sparse. This study seeks to report rural‐urban disparities in achievement, student, teacher, and school characteristics based on a nationally representative sample of grade four students from four provinces of Pakistan. The study aims to take into account the limitations of previous research, mainly the issues of non‐representative samples and inadequate sampling techniques, by using proportionally adequate sample to address the potential differences in achievement of rural and urban students and how schooling, students and teacher‐related factors account for gap in achievement.

The primary data source for the study was the 2006 national assessment survey of year four students in government school across four provinces in four core subjects. The sample design included a two‐stage stratified random sample, where the major strata of national interest were student and school gender, geographical location and region. First stage involved selecting schools and in the second stage students were selected from schools. The procedure of estimation involved computing the average of each group's achievement scores and attached standard errors, the gap of standard errors and statistical significance of standard errors at 0.05 level.

The results show that rural and urban students had comparable levels of achievement in some of the tested learning areas. In Balochistan province, rural students outperformed their urban counterparts in three out of the four tested subjects. In Punjab and Sindh, urban students performed significantly better in social studies and language tests; scores on social studies and language did not differ significantly across location in the North West. The differences appeared to be partly explained by variation in schooling conditions, students' home background, and teachers' characteristics. Teachers' training turned out to be decisive in determining students' achievement, whereas availability of resources and multi‐grade teaching was less important.

Recent educational research from around the world has demonstrated rural‐urban gaps in achievement and schooling conditions. Evidence from developing countries is still sparse. This study is the first attempt to report rural‐urban disparities in academic achievement, student, teacher, and school characteristics based on a nationally representative sample. The study has employed an appropriate sampling strategy and proportionally adequate sample to address the potential differences in achievement of rural and urban students in four provinces. The findings could therefore be used to guide policy interventions in areas of curriculum differences, schooling conditions, teachers' training and multi‐grade teaching across provinces.