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This chapter will use the lens of Foucault’s governmentality to critique the use of foreign qualification recognition (FQR) in Australia’s skilled migration programme. Foucault suggests that an imperative for governments is to find ways to manage its population to ensure its security and well-being. Foucault notes the explosion of measures designed to facilitate this imperative. We argue that FQR’s use in Australia’s skilled migration programme is another such measure. It is a process designed to ascertain the relative value of one person against another using educational attainment as the meter. We examine the literature on the subject and find there are three key themes: scale, barriers and the persistence of the problem. We explore the concept of value in FQR and find arguments are divisible according to two camps. The first finds that an education qualification represents some objective and meritocratic value that a migrant possesses and that the barriers and persistence of problems are traceable to an inability to find the right way to realize this value. The second supposes that qualifications essentially represent a claim that need not have any basis in a form of essential value. Using Foucault’s governmentality, we suggest that FQR’s primary source of value in Australia’s skilled migration process is its utility as a part of a regime that identifies and classifies migrants and establishes a regime with which to assure governments of the acquisition of a population it believes are most likely to contribute to its security and future prosperity.

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

The study aims to reinvestigate the regional urbanization gap in China and some projects are to be presented for reducing the gap.

An innovative weighted kernel density approach is applied for identifying the regional urbanization development with population migration and investment and evaluating the projects.

The regional urbanization gap is 7 and 9 percent with the unconditional estimation, 13 (23) percent and 13 (23) percent with population (investment) weighted estimation between eastern and middle region, eastern and western region, respectively. The project on the interior migration of population by 30 percent and the project on the selective investment enhancement by 30 percent both reduce the regional urbanization gap by about 4 percent between middle and eastern region.

Focus is only on the investigation of urbanization development level with single population migration or investment enhancement; the identifications and projects with joint impact of population and investment are not considered.

The study not only measures the urbanization development with the nonparametric approach but also designs some practicable projects for reducing the regional urbanization gap, which is helpful for the Chinese Government in the policymaking process.

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.

The purpose of this paper is to explore the relationship between climate change and internal migration in the Americas.

A systematic literature review type of research synthesize the state of knowledge; it was searched through the Web of Science, Scopus, Google Scholar, among other databases, for articles that focused on climate migration, gender, water stress and models for predicting movement.

Decreased water availability and increased prevalence to water-related disasters causes internal migration. Also, male out migration is quite prevalent in South American nations with women being left to take care of the families.

There is a need for further primary research to analyse what actions the Americas are taking to carve out a large policy-making space for themselves in climate change and internal migration.

The 32 papers explored in the discussion section present a novel insight into climate change, water usage, gender and internal migration. The papers also elucidate that cultural and ideological conflicts are bound to occur as the communities move with the receiving society finding it hard to accommodate the needs of the climate migrants.

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.

Reviews a number of contributions to migration analysis. Discusses some of the rudiments of migration modelling before turning attention to specific applications. Pays particular attention to articles which have modelled the interaction between labour and housing markets.

What is the effect of an increase of migration inflows on the R&D and innovative performance of developing countries? The purpose of this paper is to investigate the impact of migration inflows on the R&D and innovation activity (measured as expenditures on R&D and technological innovations) in Russian regions.

To this end, the authors use data on 85 Russian regions for the period 2010-2016 through a multi-region economic geography model. In particular, the authors test the hypothesis about the importance of migration inflows on R&D and technological innovation activity (H1) and the hypothesis about the importance of immigrants’ (incoming migrants) human capital (measured by the education level of incoming migrants) on R&D and innovation activity (H2).

Empirical findings support the evidence in favour of a positive causal link between innovation and migration inflows. Results of our investigation are important because they suggest useful insights for formulating science and innovation policies in Russia, which is a developing country where the recent policies favouring the technological innovation as the transition period have not yet achieved a satisfying outcome.

This paper increases the knowledge in the field with respect to the existing literature, shedding further light on the migration inflows effects, which is a political topic to manage very relevant in all countries.

Human capital flight from developing countries to developed nations has been rising and giving concerns to governments and scholars alike. This paper aims to explore the impact migration from Nigeria has on economic output growth by focusing on the migration rate, remittances, population growth and secondary school enrolment. This has not received adequate attention in the literature, as many papers have primarily focused on the impact of remittances on economic growth.

Leveraging on the macro-level approach to migration, remittances and the economy, this research considers the nexus among the human capital flight and output growth variables by using the autoregressive distributed lag (ARDL) method of analysis for time series data between 1986 and 2018.

The net migration rate from Nigeria was found from the empirical analysis to be more disadvantageous for the economy, given its negative relationship with economic growth despite the large volume of foreign incomes (remittances). It also shows that secondary school enrolment positively and significantly impacted the Nigerian growth rate in the long run.

This research has widened the use of variables by combining net migration rate, remittances from abroad, population growth rate and secondary school enrolment to obtain a more robust outcome with implications for research and practice.