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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 study unravels the effects of climate-induced variations in staple crop yields on various migratory inflows in India while adjusting for seasonal weather and sociodemographic factors.

The instrumental variable approach is used to assess the potential effects of climate and nonclimate parameters on various migration types, exploiting panel data at the district level from the 2001 and 2011 Census years, with agriculture acting as the mediator.

As weather-driven variations in rice and wheat yield increase by 10%, the share of migration within and between districts to population decreases by 0.017 and 0.002, respectively. However, rice and wheat yields increase by 494.60 and 524.40%, respectively, with a marginal increase in the share of migration within states to population. Also, the elasticities of disadvantaged groups, literate locals and agricultural workers vary for different relocations.

The current study affirms climate migration through the agricultural channel at a finer spatial scale, asserting the sensitivity aspect of disparate movements to periodic weather and heterogeneous clusters. This is critical for effectively implementing targeted public policies in the face of increasing climate risks.

The peer review history for this article is available at https://publons.com/publon/10.1108/IJSE-10-2022-0710

Within the labor-intensive construction industry characterized by distinctly structural shortages in the labor force worldwide, efficient and effective migration of construction workers across regions is critical for the smooth operation of construction activities. This study aims to investigate how the interregional migration patterns of construction workers are impacted by the disparities in both employment opportunities and environment amenities between the origin and destination provinces.

Drawing on the push and pull theory and the archival data on 13,728 migrant construction workers in China, descriptive analyses are first performed to characterize the interregional migration patterns of the investigated construction workers. Combining regional data in the National Bureau of Statistics of China, this study uses hierarchical regression modeling techniques to empirically test the relative importance of the employment-related and environment-related factors in driving the interregional migration of construction workers after controlling for the effects of related economic and geographic factors.

The results provide evidence that the interregional migration of construction workers is principally driven by the disparities in employment opportunities while disparities in environment amenities (including climate comfort disparity, medical service disparity and educational service disparity) generally play much fewer substantive roles. With regard to the impacts of employment opportunities, the results provide evidence that compared with the disparity in job market size, the disparities in job income and industry development level are more significantly relevant factors, which positively pull and adversely push the interregional migration flows, respectively.

This study contributes to a deepened understanding of how workers specifically balance their employment and amenity needs to make temporary migration decisions in the “laggard” labor-intensive construction industry. This study also adds to the literature on population migration by characterizing the specific characteristics of construction workers and the temporary nature of the workers' migration activities. The findings hold important practical implications for construction organizations and policymakers for effectively managing the mobility of migrant construction workers.

The extant literature on migrant construction workers has primarily focused on the consequences of international migration and the generalization of empirical findings on population migration mechanisms in other domains to the construction industry is substantially limited by the specific characteristics of construction workers and the temporary nature of their migration activities. In addressing this gap, this study represents an exploratory effort to quantitatively characterize the interregional migration patterns of construction workers in the labor-intensive construction industry and examines the roles of employment opportunity and environmental amenity in driving interregional migration.

This study aims to examine the impact of migration growth on environmental outcomes and local governance and assess how well the existing local municipal governance has responded to the environmental impact of increased migration influx in Ontario, Canada using the annual data during 2012–2021.

This study used the grey relational analysis (GRA) to examine the correlation degree between migrant growth, environmental outcomes and local governance, used coupling coordination degree model (CCDM) to access to what extent the existing local governance systems have responded to the environmental impact of immigrant growth.

Results show that higher immigrant populations are associated with worse environmental outcomes and the need for more municipal environmental investment and service. The present local municipal environmental service in Ontario lags behind in response to the environmental impacts of increased migration. Good local governance practices and environmental services are required to improve the environmental adaptation capacity of host countries to migrant influx.

Climate change has been regarded as an important driver of internal and international human migration. The mass influxes of migrants will threaten cities’ environmental quality and put considerable pressure on municipal services. This study provides empirical evidence for Ontario’s municipal environmental governance and relevant authorities on how to deal with the environmental impact of increased migration and contributes to call the attention of other countries to the urban environmental pressure caused by migration influx due to the changing climate world wide.

This article addresses some of the most pressing issues related to climate change and its potential consequences, namely population migration in Southeast Asia. It sheds light on how slow-onset events interact with other variables to limit the ability of people to adapt to stressors through human mobility.

The study adopts an analytical methodology to evaluate the extent to which the planning policy framework addresses these issues within the context of achieving resilient development.

Climate stressors will force millions of people to move within their own countries, while others will be forced to cross international borders, leaving others stranded. Desertification, sea level rise, ocean acidification, air pollution, changing rainfall patterns and biodiversity loss are all examples of slow-onset processes that the author believes will be exacerbated by climate change.

This will exacerbate many existing humanitarian issues, and more people may be forced to flee their homes as a result. This research helps improve the understanding of migration’s social, economic and environmental implications.

The research offers a novel perspective and analysis of the unique migration challenges arising from climate change in the Southeast Asian context.

The Sundarbans is a unique ecosystem, the most expansive mangrove system in the world covering the Ganga–Brahmaputra–Meghna delta system and spread over 10,000 sq.km across India and Bangladesh. The Indian Sundarbans have been witnessed to large-scale conversion of mangroves to settled agriculture and steady growth of population over the decades. With time, while population growth has taken place, there has been no significant change in the development scenario, as the agriculture and fishing dependent communities have remained trapped in the vicious cycle of poverty. Its deltaic location and its position in the path of cyclones, tidal surges and seasonal floods have made the people and landscape of Sundarbans more vulnerable than ever before. Cyclones affecting this region have grown both in frequency and intensity over the years and have caused devastation to the land, homes, lives and livelihoods. The problem of salinity has also affected the region relentlessly. Given this scenario, scenario of progressing vulnerabilities, livelihood losses have led to a gradual increase in out-migration of the adult male population. This disaster-led outmigration from Sundarban region as a whole has affected the social fabric of displaced communities to a great extent. This chapter makes an attempt to discuss results of sample surveys across six villages in three CD Blocks of Sagar, Gosaba and Kultali to trace the nature and dimension of the migration patterns of the region.

The aim of this study is to define the aspects of place attachment and their effect on migratory behaviour. It also aims to identify the connection between migration decision-making and workforce supply at the source, as well as to track the impact of adequate employment supplies and the improvement on employment generation.

A primary study was conducted among the migrants who returned back during nationwide lockdown with the help of tested structured questionnaire. The variables identified through review of literature and pilot study are tested using a structural equation modelling model.

The result exhibited that all hypothesised relationships had a positive and significant connection. The overall results showed there is a significant and positive connection between place attachment and migratory behaviour, and both have a positive impact on economic activity.

This survey is conducted in the districts of West Bengal, India. There are several documents on the connection to the place attachment and the migratory behaviour. There are, however, no studies focusing on place attachment and its effect on economic activity on West Bengal, India, where migration is a serious problem. This is the first article that discusses three main concepts together such as place attachment, migratory behaviours and its influence on the economic activity of the districts of West Bengal, India.

The upsurge in global youth migration remains a major concern for policymakers, politicians and academia at large. Given the emerging interests in youth migration and informal jobs in cities around the world, this study aims to establish the barriers limiting the transition of migrant youths, in informal settings, into formal jobs and the consequent impact on their livelihood.

Leveraging the push-pull approach of the functionalist migration school, this study uses a primary research design. A structured questionnaire was administered among 150 migrant youths who were selected across informal settings in Lagos, using a convenient sampling technique. Then, a structured face-to-face interview was later conducted among 40 selected migrant youths.

There is a skill mismatch between the competence of the youths and the requirements of firms in the formal sector, and the migrant youths are largely disenfranchised from opportunities that flow within certain networks. Another critical constraint includes language barrier, ethnicity and religious biases by certain employers. Most migrant youths are economically better off compared to where they came from, even though they are yet to exit the poverty trap.

This study critically examined the challenges faced by the migrant youth population in Lagos, Nigeria, in their bid to transition from informal employment to formal employment.

Due to greater returns to high skill and desirable amenities, high-skilled workers are increasingly agglomerating in metropolitan areas and form path dependence. This chapter explores whether the land supply policy of China constraining big cities' urban construction land quota strengthens the spatial divergence of human capital. Using city-level land supply data, population census data, and land transaction micro data, we find that the higher the degree of a city's land supply lagging behind land demand, the greater the enlargement effect of the initial share of population with college degrees on the increase in share of population with college degrees. Further research reveals that the main mechanism causing this phenomenon is the rapidly rising housing prices hindering low-skill labor flows to big cities.

An increasing number of international immigrant workers enter the EU labour market to fill the gap in many key economic sectors. Labour migration often implies a process of family adaptation and, in some cases, a breakdown in the community structure and networks. This study aims to provide insights into the dynamics of transnational families, focusing on changes in the redefinition of roles within family members and children care arrangements.

The study was based on the analysis of 12 biographical interviews conducted using semi-structured interviews between November 2018 and December 2019 among Romanian women who worked as caregivers in families in an Italian metropolitan city and the surrounding urban area.

Despite the economic dimension being essential, psychological well-being increasingly burdens workers’ migratory experience and that of their family members. Findings suggest including employers and children among the actively involved actors of the family decision-making process; working and contractual conditions as factors that significantly impact the opportunities and capability of workers to provide and receive care, mainly if the latter are employed in the informal market.

The study makes it possible to highlight that the dynamics in decision-making processes in transnational families change in the different phases of the migration project and involve numerous actors. These processes are not always rational and are strongly influenced by the labour market structure in which migrants are employed.