{"title":"影响斯洛伐克国际移徙工人移徙目的地选择的因素","authors":"Z. Beňová, K. Brockova","doi":"10.33542/gc2022-2-03","DOIUrl":null,"url":null,"abstract":"The main goal of this paper is to determine the main economic factors that influence the self-selection process of migrant workers when settling in Slovakia. Considering the growing number of migrant workers in Slovakia, it is necessary to determine which factors influence them most when choosing a final destination within the country. Paper deals with the allocation of migrant workers in Slovakia focusing on the mutual relationship between the total number of migrant workers and the average wage, and the number of vacancies in 2010 and 2020 in individual districts. The paper also analyses the domestic labour market with emphasis on internal and foreign labour migration. The study is based on migration and self-selection process theories. In the paper, we work with data from public institutions in Slovakia, especially the Ministry of Labour, Social Affairs and Family, the National Bank of Slovakia and the Statistical Office. To achieve the goal, Spearman's coefficient is used and its significance and linear regression are tested. The results show that the correlation between the number of migrant workers in individual districts and the number of vacancies was stronger than the correlation between the number of migrant workers and the amount of average wage in both monitored years 2010 and 2020. URL: https://www.gcass.science.upjs.sk/","PeriodicalId":42446,"journal":{"name":"Geographia Cassoviensis","volume":"1 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Factors affecting migration destination choices of international migrant workers in Slovakia\",\"authors\":\"Z. Beňová, K. Brockova\",\"doi\":\"10.33542/gc2022-2-03\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main goal of this paper is to determine the main economic factors that influence the self-selection process of migrant workers when settling in Slovakia. Considering the growing number of migrant workers in Slovakia, it is necessary to determine which factors influence them most when choosing a final destination within the country. Paper deals with the allocation of migrant workers in Slovakia focusing on the mutual relationship between the total number of migrant workers and the average wage, and the number of vacancies in 2010 and 2020 in individual districts. The paper also analyses the domestic labour market with emphasis on internal and foreign labour migration. The study is based on migration and self-selection process theories. In the paper, we work with data from public institutions in Slovakia, especially the Ministry of Labour, Social Affairs and Family, the National Bank of Slovakia and the Statistical Office. To achieve the goal, Spearman's coefficient is used and its significance and linear regression are tested. The results show that the correlation between the number of migrant workers in individual districts and the number of vacancies was stronger than the correlation between the number of migrant workers and the amount of average wage in both monitored years 2010 and 2020. URL: https://www.gcass.science.upjs.sk/\",\"PeriodicalId\":42446,\"journal\":{\"name\":\"Geographia Cassoviensis\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geographia Cassoviensis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33542/gc2022-2-03\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GEOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geographia Cassoviensis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33542/gc2022-2-03","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GEOGRAPHY","Score":null,"Total":0}
Factors affecting migration destination choices of international migrant workers in Slovakia
The main goal of this paper is to determine the main economic factors that influence the self-selection process of migrant workers when settling in Slovakia. Considering the growing number of migrant workers in Slovakia, it is necessary to determine which factors influence them most when choosing a final destination within the country. Paper deals with the allocation of migrant workers in Slovakia focusing on the mutual relationship between the total number of migrant workers and the average wage, and the number of vacancies in 2010 and 2020 in individual districts. The paper also analyses the domestic labour market with emphasis on internal and foreign labour migration. The study is based on migration and self-selection process theories. In the paper, we work with data from public institutions in Slovakia, especially the Ministry of Labour, Social Affairs and Family, the National Bank of Slovakia and the Statistical Office. To achieve the goal, Spearman's coefficient is used and its significance and linear regression are tested. The results show that the correlation between the number of migrant workers in individual districts and the number of vacancies was stronger than the correlation between the number of migrant workers and the amount of average wage in both monitored years 2010 and 2020. URL: https://www.gcass.science.upjs.sk/
期刊介绍:
Geographia Cassoviensis is a biannual peer-reviewed journal published by the Pavol Jozef Šafárik University in Košice since 2007. It is available both in print and open-access electronic version. The journal publishes original research articles from Geography and other closely-related research fields. Since 2016 the journal is indexed in SCOPUS and ERIH PLUS - European Reference Index for Humanities and Social Sciences, and since 2017 also in Emerging Sources Citation Index by Clarivate Analytics.