Who goes to Russia? Understanding gendered migration patterns

Because of its relatively recent emergence as an international migrant destination, the Russian Federation provides an interesting context to examine when and how migrant flows “masculinize” or “feminize.” While recent migration to Russia appears to be male-dominated, the sex composition of registered migrant flows has varied substantially throughout the post-Soviet period, and there is significant variation in the sex composition of flows from different origin countries. I use multiple origin- and destination-based data-sets to identify gender differences in both the number and characteristics of migrants to Russia from Azerbaijan, Georgia, Tajikistan, Ukraine, and Vietnam. These data show that labor migration from Tajikistan, Azerbaijan, and probably Georgia is male-dominated, with women coming as tied migrants, while men and women are equally likely to be labor migrants coming from Ukraine and Vietnam. In addition, high levels of human capital are an important motivating factor for women’s migration in the former Soviet Union. These findings highlight the importance of considering both origin and destination factors to understand the gender dynamics of migrant flows.     

INTERPRETING SPATIAL ECONOMETRIC ORIGIN‐DESTINATION FLOW MODELS

Spatial interaction or gravity models have been used to model flows that take many forms, for example population migration, commodity flows, traffic flows, all of which reflect movements between origin and destination regions. We focus on how to interpret estimates from spatial autoregressive extensions to the conventional regression‐based gravity models that relax the assumption of independence between flows. These models proposed by LeSage and Pace ( 2008 , 2009 ) define spatial dependence involving flows between regions. We show how to calculate partial derivative expressions for these models that can be used to quantify these various types of effect that arise from changes in the characteristics/explanatory variables of the model.     

The determinants of labor migration in Egypt

The factors which affect individual decisions with regard to geographic movement in Egypt are examined and the magnitude in which each factor exerts its influence on aggregate geographic labor supply adjustments is estimated. The spatial unit used in the study is the administrative region, of which there are 25. No effort is made to esimate the impact which migration has had on the origin or destination region. The migrant will presumably choose that destination which, given his information, the migrant thinks will be best. The model which is employed attempts to explain gross interregional migration without the explicit introduction of an individual decision function. Rather, migration is related to certain aggregate proxy variables. Among the independent variables employed in the analysis are (origin and destination) income, education, urbanization, and population. The other explanatory variable used is the distance between region i and region j. The migration measure employed refers to cumulative male migration which occurred prior to 1960; the independent variables are defined for a given point in time (1960). The independent variables explain a reasonably large percentage of the variance in migration between regions in Egypt. All variables were significant at the 5% level or better. The findings indicate that distance acts as an important impediment to migration. Migration is away from low wage and toward high wage regions, which may have contributed to a narrowing of regional wage differentials. Migrants are attracted to regions which have large populations and to regions which have a large percentage of urban to total population. A tendency exists for migrants to come from regions with large populations. There is also some tendency for migrants to come from regions which have a relatively large urban population. Migrants do not appear to come from regions with high educational levels.     

Employment Opportunities,Wages and International Migration in Sweden 1970–1989

In this study I focus on the impact of aggregate labor turnover and regional labor market conditions on gross in- and out-migration within the framework of a neoclassical flexible-wage (equilibrium) model and a fixed-wage (labor-market disequilibrium) model. Using annual panel data on internal gross migration flows in Sweden from 1970 to 1989, I find that regional differences in employment opportunities have the expected effects on migration. The empirical relationship between real wages and gross migration flows is found to be less congruent with theory implications, indicating that compensated regional income prospects are equalized primarily via the interaction between employment opportunities and gross migration flows. Cyclical changes in hirings are shown to have a robust and strongly significant positive scale effect on migration.     

Some Extensions to Rushton's Spatial Preference Scaling Model

Rushton's spatial preference scaling model is extended and its computing algorithm modified in order to utilize more fully all the information contained in the input data set, and to make it a better predictor of choice behavior. The preference scale that is produced by the model measures the certainty with which generalizations can be made about choices between classes of objects. The model offers two significant advantages over commonly used spatial interaction models: freedom from a priori selection of the function relating choice to attributes of objects, and applicability to studies where the number of origin and destination zones is large relative to the populations involved.     

Moving back vs. moving on: the concept of home in the decision to remigrate

"This study examines the effect of information and psychic costs on the remigration propensity of the U.S. labor force. Specifically, the study investigates how the proximity of a potential migration destination to a previous residence, and familiarity with this residence, affect information and psychic costs, and thus, remigration propensity. In this respect it is hypothesized that familiarity with, and location of, a prior residence are significant determinants of both the migration destination and the allocative efficiency of the remigration process." Several specific hypotheses are developed and tested using data on interstate, nonreturn, repeat migration of the white male labor force over the period 1965-1970.     

Modelling the relationship between tenure and migration in England and Wales

"A rarely utilized source of migration data from the 1981 [U.K.] Census is used to examine the mobility patterns of migrants resident in different [housing] tenures within England and Wales at the regional and county level. A Poisson regression approach is used to compare the effects of distance on migration propensities for those moving into owner-occupied housing, council housing and privately rented housing. The existing literature suggests that migration should be most restricted by distance for council tenants and least restricted for private renters....Local variations in the effects of distance decay on migration for each of the three migrant streams are examined. Both a north-south and a metropolitan non-metropolitan migration divide are clearly evident when migrant flows are disaggregated by tenure at the destination."     

中国人口迁移特征及其影响因素——基于第六次人口普查数据的分析

利用2010年第六次人口普查数据,对我国人口迁移的特征及其影响因素进行研究。首先分析了包括年龄、性别、受教育程度和职业分布等在内的迁移人群的社会经济特征,继而从迁移原因、迁移人口的城乡分布、迁移时间、迁移类型与属性的交叉分析等方面探讨了人口迁移的类型学特征。引入就业可达性概念,分析了人口迁移率的空间格局、就业可达性与人口迁移率的空间匹配关系以及人口迁移流的空间格局,发现通过就业可达性格局可以很好地解释人口迁移率的分布。最后,采取多元线性回归技术研究了人口迁移的影响因素,结果表明,迁入地城镇居民收入与迁移率呈正相关关系,而迁出地城镇收入、迁入地的科技文化水平、迁移距离和迁入地农村收入则与迁移率呈负相关关系。     

Destination Choice of Athenians: An Application of Geographically Weighted Versions of Standard and Zero Inflated Poisson Spatial Interaction Models

The main aim of this article is to combine recent developments in spatial interaction modeling to better model and explain spatial decisions. The empirical study refers to migration decisions made by internal migrants from Athens, Greece. To achieve this, geographically weighted versions of standard and zero inflated Poisson (ZIP) spatial interaction models are defined and fit. In the absence of empirical studies for the effect of potential determinants on internal migration decisions in Greece and the presence of an excessive number of zero migration flows among municipalities in Greece, this article provides empirical evidence for the power of the proposed Geographically Weighted ZIP regression method to better explain destination choices of Athenian internal migrants. We also discuss statistical inference issues in relation to the application of the proposed regression techniques.     

MODELING SPATIAL AUTOCORRELATION IN SPATIAL INTERACTION DATA: AN APPLICATION TO PATENT CITATION DATA IN THE EUROPEAN UNION*

ABSTRACT Spatial interaction models of the gravity type are widely used to model origin–destination flows. They draw attention to three types of variables to explain variation in spatial interactions across geographic space: variables that characterize an origin region of a flow, variables that characterize a destination region of a flow, and finally variables that measure the separation between origin and destination regions. This paper outlines and compares two approaches, the spatial econometric and the eigenfunction‐based spatial filtering approach, to deal with the issue of spatial autocorrelation among flow residuals. An example using patent citation data that capture knowledge flows across 112 European regions serves to illustrate the application and the comparison of the two approaches.     

Hub Location Problem with Allowed Routing between Nonhub Nodes

In this study, we relax one of the general assumptions in the hub location literature by allowing routed flows between nonhub nodes. In hub networks, different flows are consolidated and routed via collection, interhub, and distribution arcs. Due to consolidation, some flows travel long paths despite closeness of their origin and destination. In this study, we allow direct flows by penalizing by a scalar factor of original cost of transshipment between these arcs. We present mathematical models for median, center, and set covering versions of the problem for single‐ and multi‐allocation cases. We test the models with the CAB and TR data sets. We discuss the properties of established direct connections for different models by using another mathematical model where the number of direct flows is bounded and interpret the effect of changes in problem parameters.     

流动视角下生活方式型企业主移民综合感知及归属倾向研究——以丽江束河古镇为例

以移民聚集地丽江束河古镇为例,运用质性分析法中的半结构式访谈法对26位生活方式型企业主移民进行访谈,从流动性视角出发,在预调研、半结构式访谈和二手资料分析基础上,对束河古镇此类移民群体的综合感知进行研究,编码分析共得出4个一级类目（社会交往、自我认知、生活环境、负面感知）以及12个二级类目,详细分析各类目之间的关系和意义后,深入探讨了移民群体的归属倾向问题,剖析该问题的主要影响因素并提出了具体策略,为该类移民发展提供了保障。     

The Role of Cultural Clustering in Attracting New Immigrants

Abstract This paper argues that new immigrants cluster in culturally homogeneous groups in the host country because of imperfect information. However, a pulling effect exists provided that the cultural communities are not too large. With a panel of migration flows to the major O.E.C.D. countries from the mid 1980s to the mid 1990s, it is shown that the existence of similar cultural communities attracts new immigrants. However, the effect is not homogeneous for all types of source and destination countries. Furthermore, the pulling effect is shown to fall to zero for cultural communities above a certain threshold size.     

Disaggregate Migration Behavior and the Volume of Interregional Migration

Nested multinomial logit models are used to investigate migration behavior during the 1971–74 period for a large sample of the population of Ecuador. The nested form of the model makes it possible to test hypotheses about the importance of destination characteristics in conditioning the odds for out-migration. Our empirical results indicate that the odds for migration from each origin are conditioned by the expected utilities of the available set of destinations, as well as characteristics of the origins and the personal characteristics of potential migrants. The association between destination characteristics and the frequency of out-migration allows the total volumes of migration to be adjusted to interregional differences in place-specific utilities.     

METROPOLITAN AND NON-METROPOLITAN POPULATION TRENDS IN CANADA, 1966–1982

This paper discusses broad population movements within and between metropolitan and nonmetropolitan regions in Canada during the recent past. It is based on an annual series of aggregate migration at the metropolitan level. Three complementary approaches are used in order to distill information from this vast array of interregional flows. The first is based on net migration. The second, disequilibrium analysis, is based on the difference between the observed population shares of regions and a set of calculated steady-state population shares which would result if the currently observed set of interregional migration rates remained constant. Both approaches indicate short-term effects of migration on the evolving pattern of regional growth and decline. The third approach, based on aggregate interregional flows, allows one to observe some changes in migration behaviour which are not made evident by the first two approaches.     

Bayesian Model Averaging for Spatial Econometric Models

We extend the literature on Bayesian model comparison for ordinary least-squares regression models to include spatial autoregressive and spatial error models. Our focus is on comparing models that consist of different matrices of explanatory variables. A Markov Chain Monte Carlo model composition methodology labeled MC ³ by Madigan and York is developed for two types of spatial econometric models that are frequently used in the literature. The methodology deals with cases where the number of possible models based on different combinations of candidate explanatory variables is large enough such that calculation of posterior probabilities for all models is difficult or infeasible. Estimates and inferences are produced by averaging over models using the posterior model probabilities as weights, a procedure known as Bayesian model averaging. We illustrate the methods using a spatial econometric model of origin–destination population migration flows between the 48 U.S. states and the District of Columbia during the 1990–2000 period.     

A dynamic model of interregional migration flows in Great Britain

"The purpose of this study is to construct a dynamic model of migration in Great Britain based on time-series data developed from the records of the National Health Service Center Register (NHSCR) on male migrants of working age between 1975 quarter 2 and 1979 quarter 2." A two-stage methodology "was developed...which differed in many important respects from the techniques adopted in previous studies of time-series migration flows. Regional push and pull factors were derived on the basis of the revealed preferences of migrants, using a two-stream gravity model, and then subsequently related to vectors of regional characteristics, within a general dynamic setting. Factors affecting the overall volume of migration nationally were separated out from those determining the internal direction of migration flows, and factors affecting distance sensitivity. Despite weaknesses in the available data set, the results achieved...suggested many interesting dynamic responses, implying lengthy and important lags in the estimated relationships."     

Alan Wilson – contributions to research on population and migration

ABSTRACT

This article reviews Alan Wilson's research on population and migration in the 1970s and the 2010s, which supplements his principal contribution - mathematical modelling of urban and regional systems. In the 1970s, drawing on input-output models of economies and working with Philip Rees, Wilson established the accounting basis for Andrei Rogers' multi-regional projection model, adding international migration. Innovative methods were developed to complete demographic accounts, where there were data gaps. In the 2010s, working with Adam Dennett, Wilson systematized methods for estimating migration flows between regions in Europe, employing his family of spatial interaction models. The key aim of both research strands was to ensure that no information was ignored to ensure consistency in population and migration models. The influence of Wilson's contributions to research on population and migration is traced through a survey of subsequent research.     

'I'd Heard it was Such a Grand Place': Mid-19th Century Internal Migration to London

Abstract

In the mid-19th century, the migration of people into London was at its height. Studies of gross and net migration patterns from other regions demonstrate the importance of London as a goal destination, but until now the underlying structure of migration movements was difficult to access due to the volume of material involved. This paper exploits the recent indexing of the currently available censuses to identify the individual migration behaviour of young men from Devon, Norfolk and Sussex to London. Findings relating to the size and locality of source places, occupational backgrounds, kinship and to residential and occupational choice upon reaching London are presented for each county. The importance of information as a spur to migration is underlined and differing responses in terms of occupation are attributed to distance depreciation of such information.     

Heritage Recycled: migration and tourism as factors in the heritage of vernacular settlements

Since the 1980s Greece has been the destination of many Albanian migrants in search of work and better living conditions. The research on which this study is based examines the case of Santorini, a small Greek island which relies heavily on tourism and is currently in the front line of migration. This paper focuses on the relationship between migrants and space, by considering the interaction between migration, tourism and heritage. Heritage brings tourism flows, tourism generates migration through the demand for labour which cannot be met by locals, and migration helps to keep heritage alive because migrants occupy the old deserted settlements and also provide the means for the revitalisation of traditional ways of production. Through research in three different locations on the island, it is suggested that, contrary to the common public perception that migrants operate in a destructive way towards the spatial, social and economic environments, they actually contribute to their revitalisation.