Using life histories to explore the complexities of internal and international migration

Residential migration is one of the most problematic demographic variables. In Britain there are no sources that routinely record all moves, and the motives behind relocation are rarely recorded. In this paper I argue that the use of life histories can add important depth and clarity to the study of residential moves. The paper focuses on two themes: the ways in which internal and international migration may be linked together over the life course, and the complex mix of reasons why a move may take place. Used sensitively, life histories and life writing can enhance the study of migration history.

Understanding the reconstruction of personal networks through residential migration trajectories

This article examines how residential trajectories influence the spatiality and composition of personal networks. Three mechanisms are considered: the addition of spatially close network members, the selection of spatially distant network members, and the substitution of spatially distant network members by spatially close ones. An ego-centred network analysis combined with sequence analysis of residential experiences is used to capture the personal networks and the residential trajectories of individuals from two birth cohorts in Switzerland. A series of regression models tests the association between the types of personal networks that individuals develop, in terms of both spatial dispersion and composition, and their residential trajectories. The results show that individuals who moved far away from their place of birth are embedded in large and diversified personal networks, which include spatially distant relatives, local nuclear family members, and local friends. On average, individuals who experienced residential migration have larger and more diverse personal networks than individuals who stayed close to their place of birth. The addition mechanism accounts for much of this greater diversity.

Investigating the Ripple Effect through the Relationship between Housing Markets and Residential Migration in Seoul, South Korea

This study examined the relationship between housing markets and residential migration to identify if there is a housing refugee phenomenon due to an involuntary ripple effect in the Seoul metropolitan area, South Korea. The study applied Granger causality analysis and a vector error correction model. The empirical results confirmed that changes in housing market conditions cause a ripple effect in surrounding areas in the Seoul metropolitan area, and these changes are easily transmitted to the nearby Gyeonggi housing market. This study shows that intra-metropolitan residential migration may occur due to changes in housing market conditions. Additionally, the study proved that residential migration from Seoul to the nearby Gyeonggi province does not represent the pursuit of a stable residential environment, but is merely involuntary migration due to the financial burden of increased housing costs in Seoul. Finally, the study showed that there may be a ripple effect that intensifies instability in the jeonse market—a type of lease unique to South Korea—that emerged due to residential migration from Seoul. From this perspective, this study confirms that residential migration occurring in the Seoul metropolitan area is the result of an involuntary ripple effect and represents a housing refugee phenomenon.

MEASURING POLYCENTRICITY OF MEGA-CITY REGIONS IN CHINA BASED ON THE INTERCITY MIGRATION FLOWS

This paper uses the intercity migration flows to examine relations between Chinese cities, identify the important mega-city regions and measure each region's polycentricity from an interaction perspective. Data set contains the long-term residential migration trajectories of three million <i>Sina weibo</i> users across 345 cities. Cities with close connectivity deployed around one or several mega cities are identified as mega-city regions. Features of the mega-city regions are characterized by the strength of migration flows, density of connections, and regional migration patterns. The results show that the disparities exist in different mega-city regions; most mega-city regions are lack of polycentricity.

MEASURING POLYCENTRICITY OF MEGA-CITY REGIONS IN CHINA BASED ON THE INTERCITY MIGRATION FLOWS

This paper uses the intercity migration flows to examine relations between Chinese cities, identify the important mega-city regions and measure each region's polycentricity from an interaction perspective. Data set contains the long-term residential migration trajectories of three million <i>Sina weibo</i> users across 345 cities. Cities with close connectivity deployed around one or several mega cities are identified as mega-city regions. Features of the mega-city regions are characterized by the strength of migration flows, density of connections, and regional migration patterns. The results show that the disparities exist in different mega-city regions; most mega-city regions are lack of polycentricity.