Interregional Migration Research Articles

Risk sharing and industrial specialization in China

We investigate how risk sharing shapes industrial specialization across prefecture-level cities in China. By unbundling the mechanisms of risk sharing, we find that ex ante risk sharing generates a first-order stimulant effect on the geographical concentration of manufacturing industries, particularly for non-state-owned enterprises and cyclical industries. Ex post risk sharing matters only for state-owned enterprises. This result remains robust to instrument variable estimation and controlling for other determinants of industrial specialization. Finally, we show that interregional labor migration (special fiscal transfers) plays an important role in promoting interregional ex ante (ex post) risk sharing. The study implies that much more risk sharing and efficiency gains from industrial specialization would be achieved if capital markets and credit markets are better developed.

Regional Development and Interregional Migration Decisions in Jakarta

Purpose: this study aims to examine the community's decision to migrate between regions in the Jabodetabek area using the KRL Commuterline public transportation and analyse regional criteria based on regional development based on Oriented Development Transit, where these criteria become integration with community movements in migrating to an area.Methods: secondary data is used to fnd the number of people in migrating obtained from pt. Kai Indonesia. While to complete and explain each variable to be studied using primary data with several questions through a questionnaire submitted to 398 people who migrate between regions using logistic regression analysis techniques in their measurements. While to analyze the criteria for regional development in each region using an assessment approach from the Institute for Transportation and Development Policy. With qualitative analysis techniques and to assist in this research, a spatial approach is used which is used to display a picture of the distribution of migration.Results: (1) Regional development in each part of the Jabodetabek area is in the silver standard category which indicates that the regional development project has almost met the performance targets that have been conceptualized by the Institute for Transportation and Development Policy. (2) People in making decisions to migrate between regions will be affected by the variables of distance, travel costs, gender, travel time, migration destination and regional development, while age and transit distance cannot provide a large enough influence on people's movements in migrating.Conclusions and Relevance: the results of the study prove that regional development in the Jabodetabek area tends to be a non-metropolitan area where people who move prefer areas that are integrated with public facilities that lead to the destination rather than towards the metropolitan area, this is evidenced by the standard silver criteria obtained in the area in Jabodetabek.

Mauritania’s internal migration dynamics and trends in response to rainfall variability and change1

The northwest African country of Mauritania is a vast, desert territory, which was historically been dominated by pastoral nomads. Since independence in 1960, the country has witnessed a dramatic sedentarization of its nomadic population, as well as settlements in and movements to urban centers. This vast sedentarization movement coupled with internal and interregional migration has resulted in the growth of Mauritania’s urban population from less than 10 percent of the total population in 1965 to nearly 90 percent in 2013. Factors that have caused this rapid urbanization, include the droughts that spanned the late 1960s through to the early 1980s, and the turbulent transformation of Mauritania’s political economy. The aim of this study is to determine and examine internal migration flows to analyze the relationship between long-term rainfall changes and dynamic spatial demographic shifts in terms of movements toward urban centers. In this regard, we propose an assessment approach that integrates official statistics from the decennial census and rainfall data, with available socioeconomic variables, to characterize interregional migration flows. Our result confirms that rates of interregional migration remain elevated and are expected to increase. In 2013, 702,575 individuals were documented as having participated in interregional migration, comprising 17.5 percent of the total population. In comparison, there were 477,814 individuals, which migrated inter-regionally in 2000, and 208,039 in 1988. These results demonstrate distinct interactions between climate variability and interregional migration in Mauritania throughout the past four decades.

The Effect of Unemployment on Interregional Migration in the Netherlands

The Effect of Unemployment on Interregional Migration in the Netherlands

Привлекательность Калининградской области: факторы притяжения и причины разочарования мигрантов из регионов России

The Kaliningrad region’s attractiveness to migrants results in increasing external (interna­tional) and interregional migration. The interregional flow is a major contributor, accounting for approximately 60 per cent of the net migration gain. However, the age composition and pro­fessional qualification of migrants from other regions of Russia do not fully agree with the specifics of the region’s labour market and its strategic socio-­economic development priori­ties. This lends urgency to a selective regional migration policy aimed at prospective internal migrants. Yet, the picture of pull, push and hindering factors remains incomplete, being limit­ed to generally accepted drivers such as coastal location and proximity to EU countries. This article aims at a detailed analysis of reasons to migrate to the region, an assessment of the re­strictions and difficulties faced by relocatees and migrants’ satisfaction with the new place of residence. Method­ologically, the study uses a mixed strategy: formal data collection methods are combined with respondent selection techniques peculiar to qualitative or expert methods. The authors draw on the results of an exploratory survey conducted in December 2021 with a view to analyse migrants’ perception of the Kaliningrad region before and after their arrival and assess how their ideas change. The survey applied mixed research methods: respondents were recruited via social media and relocatee groups. The data analysis reveals a gap between migrant expectations and reality, identifying the causes of inconsistency between the incoming migration flow and the region’s development objectives and labour market needs. Based on the findings, the authors provide recommendations for a migration policy based on an accurate picture of the region and aimed at attracting the required workforce, as well as at migrants’ adaptation and support at the new place of residence.

Паттерны межрегиональной мобильности российских ученых и готовность к переездам в будущем

Mobility of highly skilled personnel is closely related to the issue of human capital distribution, determining innovative development prospects of various regions and countries. The present study focuses on intra-Russian interregional mobility, in particular, the movement of scientists between different cities and constituent entities of the Russian Federation. Based on the questionnaire survey of 1880 Russian researchers, we examined the actual movements of scientists (to receive education and gain work experience in other regions and countries) and their attitude to mobility (willingness to move in the future to participate in interesting projects and/ or work expecting satisfying remuneration). Analysis of mobility patterns of these scientists revealed the characteristics of Russian researchers willing to move to small towns. Interregional migration occurs mostly at the time of receiving education or immediately afterwards. At later career stages, the majority of researchers prefer to work in one place for long periods of time. Scientists who already had an interregional mobility experience are more likely to consider moving in the future since they have an attitude to mobility. A certain category of researchers is willing to relocate abroad as well as to major and small Russian cities. Scientists unwilling to move to small towns are concerned about their professional growth, difficulties for the family, a different lifestyle, and a change in professional and personal social networks. Thus, in order to develop regional research and education centres and stimulate intra-Russian academic mobility, relevant programmes and measures should take these aspects into account.

Modeling and forecasting the influence of social infrastructure development of interregional migration in Russia

At present demographic development of Russia and its regions is one of the most important factors of the country’s economic growth and also is key priority of the state government system. In spite of that, the issues of interregional migration are poorly represented in the strategic planning documents both at the federal and regional level. The major migration-induced population growth can be observed in the federal cities, capital areas and central part of Russia. At the same time in 2019 there was migration loss in 47 subjects of the Russian Federation. In many regions it is combined with the natural population loss aggravating the situation. The emerging closed loop (decreasing attractiveness of the area – migration loss – deteriorating social and economic situation – decreasing attractiveness of the area) results in increasing contradictions. Variety of factors determining the direction and the dynamics of migration flows requires a comprehensive study of these processes. The analysis conducted revealed that the level of development of the territory’s infrastructure is of great significance in this matter. Therefore, this direction is considered to be the main one. For quantification the authors established a complex of individual indicators which were preprocessed and consistently merged into directional integral and later into a single integral indicator of the level of social infrastructure development. Moreover, it is advisable to define five groups of regions according to the degree of their potential’s realization and to consider the affiliation of the subject of the federation to a particular group as an additional factor. Thus, the authors obtained the regression equation which describes the interrelation between the parameters under study. ANOVA revealed the opportunity of its practical application. Based on this model, a scenario forecast for the development of social infrastructure in Russia and its regions has been formed.

Spatial differentiation pattern of interregional migration in ethnic minority areas of Yunnan Province, China

Spatial differentiation pattern of interregional migration in ethnic minority areas of Yunnan Province, China

Forecasting Internal Migration in Russia Using Google Trends: Evidence from Moscow and Saint Petersburg

This paper examines the suitability of Google Trends data for the modeling and forecasting of interregional migration in Russia. Monthly migration data, search volume data, and macro variables are used with a set of univariate and multivariate models to study the migration data of the two Russian cities with the largest migration inflows: Moscow and Saint Petersburg. The empirical analysis does not provide evidence that the more people search online, the more likely they are to relocate to other regions. However, the inclusion of Google Trends data in a model improves the forecasting of the migration flows, because the forecasting errors are lower for models with internet search data than for models without them. These results also hold after a set of robustness checks that consider multivariate models able to deal with potential parameter instability and with a large number of regressors.

Systemic Causes and Consequences of Spatially Mediated Depopulation

—Depopulation processes in Russia—in almost all of its regions and settlements—are similar to those observed in almost all developed countries, and they additionally intensified in the post-Soviet period during the 30-year transformation of public relations in the country. The general and particular foundations of depopulation—of a mental, social, economic and political nature—are presented in studies by Russian geographers and demographers, sociologists and economists, ethnographers and political scientists. Summarizing and supplementing their results, the author proposes a verbal model of spatially mediated depopulation processes. It characterizes the logic of these processes in modern Russia and the dominance of economic factors in them. The article critically evaluates the methods of statistical accounting for spatially mediated depopulation. The controversial role of interregional and intraregional migration in the desertification of territories is shown.

Races of Puccinia striiformis f. sp. tritici identified from the coastal areas of Turkey

Stripe rust, caused by Puccinia striiformis f. sp. tritici, is a devastating disease of wheat in Turkey and worldwide. This pathogen can overcome known resistance genes and negatively affect the wheat production. The objectives of this study were to determine the virulence patterns of wheat stripe rust isolates collected from the coastal areas (Aegean and Mediterranean regions) of Turkey, and to examine the genetic diversity of the pathogen populations by simple sequence repeat (SSR) marker analysis. The majority of the isolates collected were virulent at various frequencies on the resistance genes Yr1 (50%), Yr6 (100%), Yr7 (78%), Yr8 (50%), Yr9 (84%), Yr10 (25%), Yr17 (38%), Yr24 (22%), Yr27 (31%), Yr32 (22%), Yr43 (47%), Yr44 (6%), YrSp (41%), YrTr1 (6%), and avirulent on Yr5 and Yr15. Based on the analysis of virulence, all isolates were determined as 25 races and clustered into six virulence groups (VGs). In contrast, the isolates clustered into four molecular groups (MGs) based on genotypic data. All four MGs were found in Aegean region of Turkey, while only three MGs (MG1, MG2 and MG3) were found in the Mediterranean region of the country. Additionally, analysis of molecular variance indicated that 80.9% of genetic variation was found within regions and 19.1% was found between the regions. The results suggest that interregional migration of the pathogen was high. The data can be helpful for the management of stripe rust and understanding the population structure and migration of Pst in Turkey.

Миграция молодых ученых в контексте профессиональной социализации: ключевые тренды и региональные диспропорции

The article presents generalized materials of the analysis of migration attitudes of young scientists in the context of professional socialization. The key research methods were statistical analysis and a sociological survey conducted in the paradigm of qualitative research among young scientists of the Southern Federal District (n = 15). It is concluded that the migration processes of young scientists are caused by the crisis situation of Russian science. Barriers to professional socialization. It is concluded that the vector of interregional migration is particularly relevant for young scientists in the region. The risks of regional disproportion of the concentration of scientific personnel potential are identified, which have a negative impact both on the territorial and spatial development of the region and on the professional socialization of young scientists

Gross regional product: study of influencers

The relevance of the research topic is determined by special attention to issues of regional development in the state policy of the Republic of Belarus, the quality of life of 78.6% of the country's population depends on the level of development of the regions under study. The problem of regional development is the growing imbalances in development between the regions of the country and, as a result, undesirable interregional migration flows of the population and a reduction in the demographic potential of a number of territories, as well as the emergence of signs of depression in a number of areas. The analysis of recent publications makes it possible to verify an ongoing interest in the issue, but the drawback of most studies is the disclosure of the issue within one particular region, or the study of the growth of grp due to conventional factors. According to the authors, until the end of the unexplored, the dependence of the gross regional product on indirect, implicit factors remains. Particular attention is drawn to the author's indicators and their place in the GRP growth model. The aim of the study is to establish the influence of unconditional and indirect factors on the magnitude and dynamics of gross regional product, which will provide an opportunity to formalize the dependence of grp on these factors and subsequently apply the built model in practice. The study methods used in the work are comparison, grouping, correlation-regression analysis, econometric modeling, and a systemic approach. Results of work. The present study considers a set of indicators for six regions of the republic of belarus for the period from 2013 to 2019. Using econometric methods of analysis, the authors built a regression model of the dependence of grp per capita on four exogenous variables, analyzed the degree of influence of these variables and the possibility of impact on them by the state. The area of application of the study results is state policy aimed at the sustainable growth of the economies of the regions. Conclusions. In the constructed model of four exogenous variables, the unemployment rate and the rate of life of the population are most significant. However, according to the authors, in order to achieve the desired level of gross regional product, it is necessary to have a comprehensive impact on all variable models, among which, in descending order of importance, the level of unemployment, the rate of life of the population, the amount of industrial production per person employed in the economy, investment in fixed assets.

The social-political challenges of internal displacements in Ukraine

Migratory threats which are connected with mass internal inter-regional migrations, caused by the annexation of Crimea and military aggression in Donbas by Russia, have been disclosed in the article. The social-political and psychological threats of large-scale forced displacement are determined. Traditional migrations are mainly due to social-economic factors and the independent voluntary choice of participants in these processes regarding the intention to move, dictated by the freedom of choice of the person. Instead, forced displacements are caused by immediate threats to life and health. Analyzing the factors of migratory attraction, the cluster analysis was performed using the k-means method and using the STATISTICA program. The results of cluster analysis show that in large regions the level of IDP migratory activity is higher and the impact on the formation of demographic capital is more significant. It does not affect the number and composition of the population as a whole, but causes changes in its location, gender, and the age structure of the inhabitants of individual regions, is a consequence and an important factor of regional differences, directly related to industrialization and urbanization, rural depopulation. In terms of volume, internal migration significantly outperforms international migration. Measures for the proper formation and development of demographic potential at the macro level are proposed. Without proper regulation, forced displacement becomes a growing burden on host communities' ability to provide basic services, destroys civilian infrastructure and community cohesion, undermines public investment in reform, and creates insecurity, hopelessness, and despair among large populations that can easily become national and global risks.

Relationships between urbanization and CO2 emissions in China: An empirical analysis of population migration.

China’s announcement of its goal of carbon neutrality has increased the practical significance of research on carbon dioxide (CO2) emissions that result from urbanization. With a comprehensive consideration of population migration in China, this study examines the impact of urbanization on CO2 emissions based on provincial panel data from 2000 to 2012. Two indicators (resident population and household registration population) are used to measure urbanization rate. The results reveal that the impact of urbanization on CO2 emissions in China is closely correlated with the structure of urban resident population and interregional population migration. The estimation results are still robust by using generalized method of moments (GMM) estimator and two-stage least squares (2SLS) estimator. The proportion of temporary residents is introduced as a proxy variable for population migration. The panel threshold model regression results show that the proportion of temporary residents has a marginal effect on the relationship between urbanization and CO2 emissions. In regions with a higher proportion of temporary residents, the positive effects of resident population urbanization on CO2 emissions tend to be weaker. These findings are consistent with the theories of ecological modernization and urban environmental transition. This paper makes suggestions on China’s urbanization development model and countermeasures are proposed to minimize the CO2 emissions caused by urbanization.

The Interregional Migration of Human Capital: The Case of “First-Class” University Graduates in China

Human capital has been acknowledged as a key driver for innovation, thereby promoting regional economic development in the knowledge era. University graduates from China’s “first-class” universities—the top 42 universities, included in the “double first-class” initiative, are considered highly educated human capital. Their migration patterns will exert profound impacts on regional development in China, however, little is known about the migration of these elite university graduates and its underlying driving forces. Using data from the 2018 Graduate Employment Reports, this study reveals that the uneven distribution of “first-class” universities and regional differentials largely shaped the migration of graduates from the university to work. Graduates were found aggregating in eastern first-tier cities, even though appealing talent-orientated policies aimed at attracting human capital had been launched in recent years by second-tier cities. Employing negative binomial models, this study investigates how the characteristics of the city of university and destinations affect the intensity of flows of graduates between them. The results showed that both jobs and urban amenities in the university city and destination city exert impacts on the inflow volume of graduates; whereas talent attraction policies introduced by many second-tier cities are found not to exert positive effects on attracting “first-class” university graduates presently. The trend of human capital migration worth a follow-up investigation, particularly given ongoing policy dynamics, and would shed light on the regional development disparities in China.

Влияние пандемии COVID-19 на трудовую миграцию сельского населения Калмыкии

Introduction. The issue examined in the article is topical enough since it arises from the need to analyze actual impacts of the COVID-19 pandemic on internal labor migration processes among the population. The COVID-19 crisis has affected most sectors of the economy. The introduction of quarantine measures and non-working days led to a number of problems for labor migrants: loss of work, reduction in wages, change of employment, loss of a certain status, and other consequences. Goals. The article aims to assess the impact of the current situation in the labor market to have resulted from the introduction of national quarantine and self-isolation regime on interregional and intraregional migration trends. The article discusses two aspects of the impact of the COVID-19 pandemic on labor migration in the republic, such as return migrations from Moscow and other regions to Kalmykia, and the migration of medical doctors and healthcare workers both within the republic and beyond. Materials and Methods. The paper introduces results of in-depth interviews with labor migrants who returned to Kalmykia during the period of restrictive measures, as well as with MDs and nursing staff who left for work in the ‘red zone’ outside their rural settlements and outside the republic. Results. The analysis of the impact entailed by the COVID-19 pandemic shows that migration is a dynamic process sensitive to any social change. Migration flows are characterized by a high level of renewability which is confirmed by both statistical data and the results of interviews: after some weakening of the restrictive measures the respondents returned to their jobs in other regions. However, such renewability of migration flows shows, in our opinion, the complexity of social and economic processes taking place in rural areas. The migration of MDs and medical personnel also attests to that — if it is possible to receive more material remuneration — qualified personnel are ready to leave not only their native villages but also the republic.

Are old regions less attractive? Interregional labour migration in a context of population ageing

AbstractRegional demographic change is often conceptualized as a circular process, where out‐migration continuously worsens conditions of population ageing and shrinkage. Thus, if migration acts as a consequence as well as cause of ageing, migration patterns should be influenced by the age structure of origin and destination regions. This paper analyses individual‐level migration decisions of full‐time employees across 326 German regions between 1997 and 2013 using binary choice models. The results show that individuals are more likely to migrate out of and less likely to migrate towards ageing regions. Moreover, the identified patterns are consistent with age‐selective migration reinforcing ageing processes and polarization of demographic structure.

Genetic Structure and Asymmetric Migration of Wheat Stripe Rust Pathogen in Western Epidemic Areas of China.

Puccinia striiformis f. sp. tritici causes severe global epidemics of wheat stripe rust primarily by airborne urediniospores. Understanding long-distance migration patterns of P. striiformis f. sp. tritici is critical for disease forecasting and management. Although the western epidemic areas in China have been considered as the source of inoculum spread eastward across the country, migration pathways among different populations within the western epidemic areas are poorly understood. In this study, we investigated the population genetics of 200 P. striiformis f. sp. tritici isolates from western epidemic areas using amplified fragment length polymorphism and simple sequence repeat markers. A coalescent approach was also used to calculate the migration rates among populations. Data analyses with both marker systems indicated high genetic diversity in each regional population. The Mantel test revealed significant positive correlation between genetic and geographic distances. Both discriminant analysis of principal components and STRUCTURE analysis supported moderate population structure shaped by seasonality and geography. The calculated migration rates indicated the presence of asymmetric migration between major populations in western epidemic areas, with greater migration rates from high elevation, oversummering areas to low elevation, overwintering areas. Sichuan Basin, one of the low elevation, overwintering areas, sampled in both fall and spring, was inferred as a recipient in fall but a donor in spring. Migration among P. striiformis f. sp. tritici populations may be partly attributable to terrace farming and prevailing wind direction in different seasons. Our study provides a better understanding of fine-scale population structure and the interregional migration pattern of P. striiformis f. sp. tritici in northwestern China and will inform future rust management.

Refuge and remittances: an analysis based on the «Socio-economic profile of refugees in Brazil. Subsidies for policy making»

Latin American interregional migration has increased dramatically in the past two decades. One of the countries contributing to the growth of these flows is Brazil, whose participation was consolidated due to international factors, its reception and its legal labor policies. Despite this, the relationship between migration, development and remittances remains poorly studied by Brazilian scholars. The discussion presented here focuses on a circumscribed analysis of refugees who had been legally recognized by the Brazilian State by the end of 2018. Thanks to research data on 487 refugees living in Brazil by then, it was possible to analyze their life conditions, the value and regularity of remittances received and/or sent, among other aspects. The results showed that low wages did not prevent refugees, for the most part, from sending remittances abroad nor, for some, from receiving it. Despite its low value, its regularity seems to keep alive the networks and dependency relations between those who migrate and those who remain in the origin countries.