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The spread of COVID-19 from Wuhan to the global countries has a direct association with human mobility. Perhaps, human mobility increases the hazards of COVID-19 due to its communicable characteristic of human-to-human transmission. Thus, the volume of migrants and migration may have a significant role in the outbreaks of COVID-19 in any country. Given that India homes more than 45 crores of migrants, the present study aims to examine the linkages between migration flows and COVID-19.

The present study has used secondary sources such as data sharing portals, census, news and media reports and Web sources. The updated COVID-19 data was retrieved from the www.covid19india.org, whereas migration rates were analysed from the D-series of census 2011.

Nearly 23% of total inter-state migration occurred for the livelihood only. The numbers of cases have raised much earlier and faster in migrant's destination states than in migrant's origin states. Further, as shown in the scatterplots, that positive association between “COVID-19 and in-migration” is found to be more robust than “COVID-19 and gross-migration”. On the other hand, the migrant's origin states are also experiencing a rapid increase of COVID-19 cases due to large numbers of returning migrants. These return-migration flows have created major administrative, social and public health challenges, particularly in the origin states, and as a whole in India.

This paper has potential to help policy planners to identify the COVID-19 vulnerability of various states in respect to the migration perspectives. Moreover, it also enhances the understanding to establish the linkage between COVID-19 outbreaks and migration.

Using three different measures, the aim of this paper is to investigate the channels through which ethnic linkages/networks affect the location choice of migrants.

The authors estimate conditional logit models of the US location choice by Mexican migrants, using individual level data on Mexican‐US migration collected by the Mexican Migration Project

The main finding is that the choice of Mexican immigrants to move to a region has a hump‐shaped relation with the amount of fellow‐Mexicans living there and with the amount of people coming from the same village. These effects are stronger for illegal immigrants and for first‐time immigrants than for legal immigrants and repeat immigrants respectively. Mixed evidence is found for the effect of the total time the Mexicans from the same village have lived in the USA.

The paper formulates the location choice of Mexican migrants in the USA as influenced by: the number of Mexicans living in the US region; the number of Mexicans from the same village as the migrants living in the US region; and the total time the Mexicans from the same village have lived in the US region.

The purpose of this paper is to study how proximity affects the trade-migration link. By focusing on two case studies, France and Egypt, the authors explore if migrants promote and help to deal with market heterogeneity in international markets. Using an ethnic network approach the authors also test for interactions between the characteristics of migrants and proximity issues.

The paper builds on two case studies to illustrate the main working hypotheses. The main framework is that of ethnic networks, proximity ties, and market heterogeneity. Static and dynamic panel data methods are employed when estimating extended gravity trade equations. The authors account for country-pair fixed effects and instrument by lagged stocks of migrants, in order to deal with bilateral commonalities and endogeneity issues in the estimation procedure.

The paper provides evidence on how proximity enhances trade. Additional trade effects are found for countries sharing closer ties. Networks of migrants appear to help firms to deal with fixed trade costs, also generating some market heterogeneity that at the end influences the trade-migration linkage. Characteristics of migrants also seem to matter, interacting with proximity issues, and resulting in specific trade effects.

Proximity issues seem to matter in the trade creation effects of networks of migrants. In this way integration processes between countries would be showing some positive externalities in the side of trade flows. Characteristics of emigrants should be taken into account when defining migratory policies, mainly for the education and assimilation issues.

The paper get deeper insights in some emerging issues in the trade-migration literature by focusing in two relevant case studies.

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.

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.

Households suffering from poverty often rely on parental migration and/or paid child labour for survival. The purpose of this paper is to investigate the effects of parental migration on paid child labour and human capital formation in a dynamic context, explicitly taking the effects of parental migration on child’s school and home education into account.

The author utilises a mathematical method. In particular, an overlapping-generations model is built, with agents who have a two-period life. The amount of paid child labour is determined as a solution of the utility maximisation problem.

Contrary to intuition, parental migration possibilities do not necessarily reduce paid child labour. In addition, parental migration possibilities do not necessarily raise human capital. Moreover, a trade-off might exist between alleviating paid child labour and raising human capital under parental migration possibilities.

Migration possibilities are given exogenously evenly among potential migrants by the foreign country. However, in general, they depend on potential migrants’ human capital so that migration possibilities differ across agents.

Migration is usually considered effective in alleviating poverty. However, since it does not necessarily reduce paid child labour and raise human capital, migration should be regulated in some cases as a means to escape from poverty.

This paper deals with parental migration and paid child labour in an identical dynamic model. This paper assumes that human capital is built not only by school education but also home education, the amount of which changes with the duration of parental migration.

This paper attempts to examine which theory is best at explaining the geographic concentration in Java, an island in which most of the Indonesia’s large and medium manufacturing industries have located overwhelmingly. Our previous studies on Java have found that there was a stable – albeit increasing trend – and persistent geographic concentration in Java over the period 1976‐1995. Yet some critical questions exist: Why geographic concentration in Java persisted during this period? To what extent relevant theories and empirical literature can be used as an explicit test of competing theories on agglomeration forces? In answering those questions, we compare the three major grand theories of geographic concentration: Neo‐Classical Theory (NCT), New Trade Theory (NTT) and New Economic Geography (NEG). Using the regional specialization index as a measure of geographic concentration of manufacturing industry and pooling data over the period 1991‐002, our econometric analysis integrates the perspectives of industry, region (space) and time. We further explore the nature and dynamics of agglomeration forces underpinning the industrial agglomeration in Java by testing some key variables. Our econometric results rejected the NCT hypotheses and showed that the NTT and NEG can better explain the phenomena. It’s apparent that manufacturing firms in Java seek to locate in more populous and densely populated areas in order to enjoy both localization economies and urbanization economies, as shown by the significance of scale economies and income per capita. The former is associated with the size of a particular industry, while the latter reflects the size of a market in a particular urban area. More importantly, the results suggest that there is a synergy between thickness of market and agglomeration forces. The interplay of agglomeration economies is intensified by the imperfect competition of Java’s market structure. We find that Java’s market structure may restrict competition so that firms tend to concentrate geographically. Instead of providing some important recommendations for local and central governments and practical implications for investors and manufacturing firms, this paper gives empirical evidence with respect to path dependency hypothesis. The finding supports the NEG’s belief that history matters: older firms tend to enhance regional specialization.

This paper aims to bring together research on housing market area, submarket and household migration into a systems approach that helps us gain a better understanding of the structure and dynamics of a housing market and identify housing problems for a large metropolitan area.

The paper uses a geographic information system (GIS)-based method with simple quantitative techniques, including spatial analysis, location analysis, house price clustering and cross-tabulation. The analysis is based on migration data from the 2011 Census, house price data from the Land Registry in 2011 for Greater Manchester at the ward level and the output areas level.

The results show that different submarkets and housing market areas had different patterns of spatial migration and connections with other areas. Through a systematic analysis of migration and house price in combination, it also found a close connection between destination submarkets and the ages of migrants and identified specific problematic patterns for a large metropolitan area.

The interactions between the owner-occupied sector and the social and private rented sectors are arguably an important omission from the analysis. Also, it is acknowledged that clustering ward units based on price differentials is subject to distortions in terms of specification, size and shape. Moreover, the use of the large samples may result in very small p-values, leading to the problem of the rejection of the predefined hypothesis.

A systematic analysis of migration and house price in combination may be used to gain a better understanding of the housing market dynamics and identify housing problems systematically for a large metropolitan. It may help to identify low-demand areas, high-demand areas and assist planners with decisions in allocating suitable land for new housing constructions.

The GIS-based method introduced in the paper could be considered as an effective approach to provide a better basis for determining policy interventions and public investment designed to allocate land resources effectively and improve transport systems to change existing problematic migration patterns.

This paper fills a gap in the international literature in relation to adopting a systems approach that analyses migration and house price data sets in combination to systematically explore migration patterns and linkages and identify housing problems for a large metropolitan area. This systems approach can be applied in any metropolitan area where migration and house price data are available.

The purpose of this paper is to contribute to the challenges of bringing postcolonial, racism and migration research into a meaningful dialogue. Based on the research examining migration from Central Asia into Russia, the paper analyses migration policy and the everyday experiences of migrants.

The paper is based on mixed methodologies, including narrative, semi-structured and in-depth interviews with migrants from Uzbekistan, Tajikistan and Kyrgyzstan in Russian cities and those who returned to their country of origin (over 300 people), interviews with representatives of NGOs, state officials and journalists in 2013–2016 and an analysis of the legislation and mass-media regarding migration from Central Asia.

The paper demonstrates that experiencing racism is a part of everyday life for migrants from Central Asia living in Russia. Whether this is in interactions with the state, fear of persecution on the street by the police or in the workplace, it is a constant factor. It argues that the political and everyday xenophobia and racism demonstrates deeply rooted imperial views in Russia’s inner politics and shapes attitudes toward migrants.

The paper contributes to broader debates on the linkages between migration and racism in Europe, in particularly questioning the positionality of migrants from “not-European” countries.

Mbembe’s approach to “let die” is pertinent in understanding postcolonial migration. Racism continually plays a role in “normalization” of abuse toward migrants and restrictive migration policy. Blaming “the migrant” for acting informally, draining healthcare resources and for posing a security risk provides a much-needed scapegoat for the state.

The purpose of paper is to investigate and determine the intertemporal changes in linkages between migration (both emigration and immigration) and economic conditions in during 1990-2000 period.

The paper employed cross-sectional analysis to investigate the relationship by employing data on immigration and emigration and as for economic condition the paper employed macro-variables such as real income differential (real gross domestic per capita), price level differential (consumer price index) and distance among the countries. Two different points of time were regressed cross-sectionally, with White standard being employed to remove traces of heterogeneity, albeit, 1990 and 2000.

Results clearly indicate that there are significant changes in terms of the relationship of chosen variables with migration over time. The results provide some evidence on the important role played by these variables in influencing migration throughout the period in question.

Data covered is limited to 24 countries. The results from these countries alone are not sufficient to address the full impact of migration.

The study covers the traditional topic of migration with an econometric approach, with some empirical regression and findings.