{"title":"空间之间:解读国内移民的动机和距离","authors":"Ivan Lichner, Vladimír Baláž, Tomáš Jeck","doi":"10.1002/psp.2818","DOIUrl":null,"url":null,"abstract":"<p>Distance, economic disparities and housing market conditions are considered key moderators of internal migration. Existing research has used panels and surveys to establish the drivers of and barriers to domestic moves. This research employs administrative data on all Slovak internal migrants in 1997–2022 (2.38 million moves). The individual migrant data are associated with regional characteristics such as wages, unemployment rates, business activity, housing construction, the ethnic composition of the population, and connections to trans-European transport network (TEN-T) motorway networks. Zero-inflated (ZI) regression models help to identify the key moderators of internal moves through reported migration motives and major structural barriers to migration. Gravity models distinguish between long-distance moves motivated by human capital considerations and short-distance moves informed by housing and family motives. Motives related to housing, following family, marriage, divorcee and health accounted for 75.4% of the total moves in the 1997–2022 period. Migration distance, followed by education, population mass and housing, proved to be key moderators of internal moves.</p>","PeriodicalId":48067,"journal":{"name":"Population Space and Place","volume":"30 8","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Between spaces: Unravelling motives and distances in internal migration\",\"authors\":\"Ivan Lichner, Vladimír Baláž, Tomáš Jeck\",\"doi\":\"10.1002/psp.2818\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Distance, economic disparities and housing market conditions are considered key moderators of internal migration. Existing research has used panels and surveys to establish the drivers of and barriers to domestic moves. This research employs administrative data on all Slovak internal migrants in 1997–2022 (2.38 million moves). The individual migrant data are associated with regional characteristics such as wages, unemployment rates, business activity, housing construction, the ethnic composition of the population, and connections to trans-European transport network (TEN-T) motorway networks. Zero-inflated (ZI) regression models help to identify the key moderators of internal moves through reported migration motives and major structural barriers to migration. Gravity models distinguish between long-distance moves motivated by human capital considerations and short-distance moves informed by housing and family motives. Motives related to housing, following family, marriage, divorcee and health accounted for 75.4% of the total moves in the 1997–2022 period. Migration distance, followed by education, population mass and housing, proved to be key moderators of internal moves.</p>\",\"PeriodicalId\":48067,\"journal\":{\"name\":\"Population Space and Place\",\"volume\":\"30 8\",\"pages\":\"\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Population Space and Place\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/psp.2818\",\"RegionNum\":2,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"DEMOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Population Space and Place","FirstCategoryId":"90","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/psp.2818","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DEMOGRAPHY","Score":null,"Total":0}
Between spaces: Unravelling motives and distances in internal migration
Distance, economic disparities and housing market conditions are considered key moderators of internal migration. Existing research has used panels and surveys to establish the drivers of and barriers to domestic moves. This research employs administrative data on all Slovak internal migrants in 1997–2022 (2.38 million moves). The individual migrant data are associated with regional characteristics such as wages, unemployment rates, business activity, housing construction, the ethnic composition of the population, and connections to trans-European transport network (TEN-T) motorway networks. Zero-inflated (ZI) regression models help to identify the key moderators of internal moves through reported migration motives and major structural barriers to migration. Gravity models distinguish between long-distance moves motivated by human capital considerations and short-distance moves informed by housing and family motives. Motives related to housing, following family, marriage, divorcee and health accounted for 75.4% of the total moves in the 1997–2022 period. Migration distance, followed by education, population mass and housing, proved to be key moderators of internal moves.
期刊介绍:
Population, Space and Place aims to be the leading English-language research journal in the field of geographical population studies. It intends to: - Inform population researchers of the best theoretical and empirical research on topics related to population, space and place - Promote and further enhance the international standing of population research through the exchange of views on what constitutes best research practice - Facilitate debate on issues of policy relevance and encourage the widest possible discussion and dissemination of the applications of research on populations - Review and evaluate the significance of recent research findings and provide an international platform where researchers can discuss the future course of population research