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Forecasting population movement trends is crucial for implementing effective policies to regulate labor force growth and understand demographic changes. Combining migration theory expertise and neural network technology can bring a fresh perspective to international migration forecasting research.

This study proposes a conditional generative adversarial neural network model incorporating the migration knowledge – conditional generative adversarial network (MK-CGAN). By using the migration knowledge to design the parameters, MK-CGAN can effectively address the limited data problem, thereby enhancing the accuracy of migration forecasts.

The model was tested by forecasting migration flows between different countries and had good generalizability and validity. The results are robust as the proposed solutions can achieve lesser mean absolute error, mean squared error, root mean square error, mean absolute percentage error and R² values, reaching 0.9855 compared to long short-term memory (LSTM), gated recurrent unit, generative adversarial network (GAN) and the traditional gravity model.

This study is significant because it demonstrates a highly effective technique for predicting international migration using conditional GANs. By incorporating migration knowledge into our models, we can achieve prediction accuracy, gaining valuable insights into the differences between various model characteristics. We used SHapley Additive exPlanations to enhance our understanding of these differences and provide clear and concise explanations for our model predictions. The results demonstrated the theoretical significance and practical value of the MK-CGAN model in predicting international migration.

The purpose of this paper is to map the “migration pathways” (King and Skeldon, 2010) followed by interviews with a group of Vietnamese international labour migrants.

Through 50 in-depth interviews, the authors identify the reasons that explain the pathways observed.

The authors found that more than half of the interviewees did what King and Skeldon describe as a U-turn, whereby the migrants go abroad for work directly from their home town and return to settle there. The remainder did a J-turn, meaning the migrants returned and settled elsewhere. The majority of those doing a J-turn moved to another town/city within the province of their home town. Few return migrants settled outside their home province. The main explanations for the U-turn choice include existing investment in immobile assets in their home town, strong family ties, parental care obligations, lack of skill acquisition from international labour migration, age and for married migrants having children. Poor conditions in their home town, the absence of local job opportunities and better schooling for children were important considerations that made the J-turn more desirable. Having family ties in a new location, and affording the investment needed to settle in a new town, were important explanations to make the J-turn possible.

This paper highlights the need for economic development in rural Vietnam, including the creation of decentralised and sustainable livelihoods, so that return migrants have opportunities to reintegrate within their home communities.

Global mobility remains one of the most pressing challenges of our times. Countries in the north are turning to major ‘sending’ countries in the south to secure their cooperation in controlling their borders and in repatriation processes. By explicitly linking migration to global security threats and weak governance, these migration control initiatives are justified by development goals and sometimes financed by official development assistance (ODA). By connecting criminology with international development scholarship, this chapter seeks to advance our understanding of the novel intersections between criminal justice, security and development to govern mass migration. Focusing on UK policies and the analysis of specific programmes, it interrogates what does the sustainable development goal (10.7) of facilitating ‘orderly, safe, regular and responsible migration’ concretely entail? And to what extent does the language of ‘managed migration’ legitimise restrictive border controls policies and even conflict with other global development goals?

This paper aims to examine the myriad linkages between cross‐border migration and international business activity through a conceptual framework of international arbitrage.

While labour is internationally the least integrated of the various markets (capital, product, labour) the increasing co‐movement of both tasks and workers has created opportunities for the arbitrage and exploitation of differences between national labour markets. Because national labour markets typically display the two characteristics of separation and price discrepancy it is possible to utilise the principle of arbitrage and within this framework examine cost, intellectual, knowledge and employment arbitrage.

The discussion suggests that international business offers valuable insights into migration processes and effects which have been dominated by the research approaches of other disciplines. It is found that migrants can help reduce transaction costs for bilateral trade, contribute to nostalgic trade, encourage outsourcing and foreign direct investment through referrals and performance signalling, assist country of origin development through remittances and return migration and provide valuable knowledge to their employers in the country of residence.

The paper is a conceptual one which offers no new empirical results but does provide a context for the interpretation of the more specialised studies that appear in this special issue. There is a need for research on this topic to be firmly grounded in the contemporary context of an increasingly integrated global economy. It also suggests a number of specific areas where further work would be useful.

The key contribution of the paper is in developing a comprehensive conceptual framework – that of labour market arbitrage – which enables a clearer understanding of the complex impacts of international migration on international business activity. It also distinguishes between direct and indirect effects.

A major policy issue facing leaders in the developing world is whether international migration, through remittances, contributes to the development process in migrant-sending communities or impedes the efficient allocation of labor and human capital at the origin countries. This study examines the impact of remittance inflows on out-farm migration of farm labor toward the nonfarm sector. Specifically, this study shows how international migrant remittances may alter the predictions of out-farm migration models by Harris–Todaro.

The authors use unbalanced panel time-series data on 77 developing countries between 1991 and 2010 within a dynamic panel time-series framework to estimate the impact of remittances on the out-farm migration rate.

The authors find two competing effects of remittances on out-farm migration of labor in developing countries. First, remittances decelerate the out-farm migration rates by supplementing farm income and consumption expenditures. Second, remittances provide a source of investment in nonfarm activities that increase the rate of migration out of agriculture over time. Combining these effects, on average, our elasticity estimates indicate that a 10% increase in remittances reduces the migration out of agriculture, on average, by 0.5% in developing countries over time.

The authors findings align with the “developmentalist” or “optimistic” views of international migration. International migration, through remittances, help make the inevitable transition out of the farm sector smoother for developing countries.

To the authors’ knowledge, this is the first study to extend the empirical literature on macro-level determinants of out-farm migration within the Harris–Todaro framework to explicitly account for the impacts of remittances inflows into developing countries that the new economics of labor migration (NELM) theory hypothesizes.

The purpose of this study is to identify, based on social network theory, the relationship between the direction of international migration (immigration/emigration) and the international movement of enterprises and their location.

A traditional gravity model and the Tobit estimation method are applied to three groups of countries from three different regions: Latin America, North America and the European Union. The study considers a period from 2001 to 2012.

The main results suggest that the international migration that goes from the European Union and North America to Latin America is related with the firms’ internationalization and their respective location.

Given that migration can be an important and reliable source of information, trust and knowledge, managers should see it as a “bridge” between the home and host countries, which, in turn, can increase their competitive advantage.

Governments can learn how migration and outward foreign direct investment interact. In addition, they could develop political frameworks to accurately and effectively manage international migration (immigration and emigration) and FDI in the best interests of the stakeholders.

This study extends the social network theory by suggesting that networks are not only related with firms’ expansion abroad but as well with their location. This statement could be generalizable as long as emigration/networks (ethnic ties) are considered the links between the home and the host country.

Open economy macroeconomic models generally overlook the effects of international migration and remittances on income and welfare. A two‐country temporary equilibrium model is presented which incorporates trade theoretic elements of international migration and remittances. In the model, an expansionary incomes, or a trade, policy by the host country induces migration, while expansionary demand policies in the source country discourage migration. In all cases, however, when some degree of international migration exists, potential income and welfare gains to both countries induced by such policies exceed the equivalent policy gains where international migration and remittances are absent.

Introduction: International migration, a complex, dynamic and multifaceted process, grasps important challenges for the European economies, through its advantages and pitfalls.

Aim: This research is conducted to examine the fundamental credentials of immigration in Europe and its perspectives within the Brexit framework, an ongoing process that induced profound implications.

Method: The authors have applied the cluster analysis and structural equations as the main research methods on a balanced panel comprising 10 receiving countries (most targeted by migrants), members of the European Union (EU-10), for the 2000–2019 timespan (2019 being a Brexit milestone year).The authors have separately extrapolated a sample for 2020–2025 that was further used to identify some perspectives after the Brexit timeline in terms of migration determinants and effects on EU-10 host economies. Cluster analysis is based on a key scenario related to wellbeing, living standards (income level) and poverty risk at destination. These credentials are essentialfor the migration decision and important elements of migrant labour market integration strategies with keen economic consequences, further assessed through the structural equation models.

Findings: Results show that during 2000–2019, among EU-10, the main destination country for immigrants and asylum seekers in terms of welfare and living standards is Germany (both for economic and humanitarian migration), along with the United Kingdom (in the case of economic migration). This situation tends to remain unchanged for the following years even in the Brexit context, as reflected by the 2020–2025 forecast scenarios. Immigration effects on labour market outcomes and economic welfare are extremely significant, being largely discussed within the chapter.

There is a considerable gap in the literature examining the effect of parental international migration on children’s health in Pakistan. The author aims to examine the impact of parental international labour migration on the health (anthropometric measures) of children left-behind in Pakistan.

The author investigates the impact of parental international labour migration on the health (anthropometric measures) of children left-behind in Pakistan using econometric estimation techniques and the latest wave of the Pakistan Demographic and Health Survey 2017–2018. The main child health measures the author uses include weight-for-age (WAZ) and height-for-age (HAZ) Z-scores for children under five years of age. Since unobservable factors may be vital determinants of the child nutrition outcomes, the author uses two unique instrumental variables to address the potential endogeneity problem.

The author finds that international migration improves the left-behind children’s weight-for-age and height-for-age nutritional outcomes, generating essential policy insights.

To the best of the auhtor’s knowledge, no previous study has been conducted on parental migration and left-behind children in Pakistan using the latest Demographic and Health Survey.