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This study examines credit score migration rates of farm businesses, testing whether migration probabilities differ across business cycles. Results suggest that agricultural credit ratings are more likely to improve during expansions and deteriorate during recessions. The analysis also tests whether agricultural credit ratings depend on the previous period migration trends. The findings show that credit score ratings exhibit trend reversal where upgrades (downgrades) are more likely to be followed by downgrades (upgrades).

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.

Six empirical studies of nurse migration motivations and intentions were identified for review. The review revealed that motivations and intentions varied by country of origin and by individual nurses. Nurses from more developed countries migrated for personal reasons, while nurses from less developed countries migrated for economic, professional and family reasons. Country‐level studies are needed in resource‐poor countries to inform health system policies and workforce development. These policies must simultaneously protect the right of the individual nurse to migrate and create conditions conducive to retention of nurses. Additional research is needed to understand the decision‐making processes related to migration and the experiences of individual nurses who migrate to more developed countries.

While COVID-19 temporarily created worldwide immobility, the gradual opening up of borders spurred one of the largest return migration episodes ever, and it continues to this day. Disappearing jobs, decreasing wages, inadequate social protection systems and networks, xenophobia, wage theft and overall uncertainty are among the prominent factors that have influenced this movement. Emigrants from the Gulf-India Migration Corridor were particularly affected by these forces and returned en masse, uncertain of their future. When people come back to their home country after living abroad, particularly due to exogenous shocks, it raises concerns about whether their decision to return was truly voluntary, their ability to adjust to being back home and the long-term effects on their reintegration. Additionally, it is uncertain what kind of impact return migrants have on their home country’s development. In this chapter, the authors examine the recent trend of return migration since the outbreak of COVID-19 and how it affects the Gulf-India corridor. The authors also take a closer look at the state of Kerala through a unique survey conducted by the authors and provide possible future scenarios for emigration in this region, along with recommendations for policy.

The purpose of this paper is to estimate the impact of the agglomeration economies as pull factor of international migration between the European Union and the countries involved in the European Neighbouring Policy.

The applied research is conducted in the 1970-2000 period by using a gravitational model and estimated by linear and non-linear models with a wide fixed-effects structure.

The main finding of this work is the fact that increasing urbanisation matters more as a pull factor than improvements in GDP per capita. The interpretation of these results may be linked with the existence of opportunities arising in cities. Besides, immigrants not only look for monetary outcomes from migrating, but also non-economic territorial features.

Few works have analysed previously the role of urbanisation on international migration flows.

The purpose of this paper is to examine the trend of return migration of health professionals to Ghana and how it is impacting the delivery of health services in the country. It also highlights the challenges facing returnees to the country.

A qualitative exploratory case study approach was employed in the study. Data gathered were analysed using the sequential model of qualitative content analysis.

It was found that while push factors dominantly influence out-migration, pull factors rather dominated reasons for return migration. Other determinants of return migration include social and financial benefits to the home country, achieving goals for travelling, skills’ improvement and spousal consideration. The paper also highlights some of the challenges returnees usually encounter in the home country.

This paper makes reasonable recommendations regarding how return migration of Ghanaian health professionals might be smoother.

The study brings to the fore, the necessity for the government to plan for health professionals, who returned to Ghana to contribute to the health system.

The spread of economic global integration in the last 50 years has resulted in the recent emergence of global labour markets. Ageing populations and skill shortages have placed significant pressure upon Australia's economic sustainability and survival in a global economy. The global race for talent has seen the emergence of skilled migration as a key element in Australia's strategy to address major human capital trends and issues and to source pools of talent considered highly skilled or in demand. This paper seeks to address these issues.

This paper draws together research on skilled migration in the Australian context and the factors that explain use of Australia's 457 visa scheme by organisations for attracting and recruiting talent. Data from a survey of members of the Australian Human Resources Institute (n=1,045) is analysed using logistic regression.

The results show that larger, goods producing, organisations with skills shortages are more likely to employ skilled migrants, while not‐for‐profit and regional organisations are less likely. Sponsorship of 457 visa workers for permanent residency is more likely in larger, regional organisations willing to pay above market rates to fill long‐term vacancies and seeking to attract international skills and knowledge but less likely in public organisations.

The study has limitations related to the fact that the sample is limited to Australian members of a human resource professional body.

There is very little literature on the use of temporary skilled migration by organisations from a HRM perspective. The findings shed light upon the extent of employer‐sponsored temporary skilled migration as a talent sourcing strategy in a range of industries and organisations across Australia.

The aim of this paper is to estimate the dynamic of international migration between the different regions of the world for 2030 and to measure the impact of different kind of migration policies on the economic and social evolution.

The change and migration forecasting are estimated for regions of the world using macroeconomic Cambridge Alphametrics Model.

The crisis and its aggravation thus clearly favour scenarios of immigration policy along the “zero migration” or “constant migration”. These choices of migration policies reinforce the deflationary process resulting in reduced opportunities for renewed growth in industrial areas and are not offset by the dynamism of growth in emerging countries. Paradoxically, the developed countries which are most durably affected by the crisis are also those that have ageing population and are in high need of skilled and unskilled labor.

Three options are possible: one going along the depressive process by espousing restrictive immigration policies that remain expensive. The second involves a highly selective immigration policy. Under these conditions the demographic revival already appearing would be reinforced by a rejuvenation of the population brought about by a more open immigration policy. Political and institutional factors play a fundamental role in the emergence of this optimistic assumption and the rise of isolationism in Europe and the ghettoization of suburban areas can hinder the application of such a policy of openness to migration. The third scenario, the mass migration scenario, allows letting go of the growth related constraints and getting out of the deflationist spiral. This pro-active approach could cause public opinions to change in line with public interest. This scenario of mass migration has more of a chance to see the light under a growth hypothesis. However, restrictive policies weaken the prospects of sustainable recovery causing a vicious cycle that can only be broken by pro-active policies or by irresistible shocks.

From specific estimations, four immigration regimes have been built that cut across the major regions of the model: the “core skill replacement migration regime” based on selective policies using migration to fill high-skilled labor needs (United Kingdom, West and Northern Europe, Canada, Australia, and USA), “mass immigration and replacement” applies to South Europe, East Asia High Income, and part of West Asia (Gulf countries), “big fast-growing emerging regions of future mass immigration,” notably China, India and “South-South migration” based on forced migration much of it by climate change, which may likely occur in South Asia, part of West Asia, and, most of Africa (without South Africa). Migrations in transit countries (Central America to USA, and East Europe to UK and West Europe) are based on low skilled migrants in labor-intensive sectors.

Policy-makers in OECD countries appear to be increasingly concerned about growing migration pressure from developing countries. At the same, at least within Europe, they typically complain about the low level of internal labor mobility. In this chapter, we try to cast some light on the issues of both internal and external labor mobility. We investigate the link between development and migration and argue, on both theoretical and empirical grounds, that it is likely be nonlinear. More precisely, we find that, in a relatively poor sending country, an increase in income will have a positive impact on the propensity to migrate, even if we control for the income differential with the receiving country, because the financial constraint of the poorest become less binding. Conversely, if the home country is relatively better off, an increase in income may be associated with a fall in the propensity to migrate even for an unchanged income differential. Econometric estimation for Southern Europe over the period 1962–1988 provides substantial support to this approach. We estimate first the level of income for which the financial constraint is no more binding, around $950, and then the level of income for which the propensity to migrate declines, which is around $4,300 in 1985 prices. We therefore predict a steady decline in the propensity to migrate from Southern European countries. Similarly, our results highlight the possibility that the pressure to migrate from Northern African countries and other developing countries may increase with further growth.