{"title":"肯尼亚省内人口迁移的年龄表","authors":"V. Awuor, G. Odipo, A. Agwanda","doi":"10.11564/32-2-1213","DOIUrl":null,"url":null,"abstract":"Background: Migration today is a complex process determined by inter-related historical, geographical, economic, sociological and political factors. There are linkages between life-course transitions and patterns of movement necessitating estimation of migration propensities by age, sex and other characteristics. However, analysis of age specific migration propensities has been limited in developing countries. Data source and methods: Data was derived from the 2009 Kenya population and housing Census via the IPUMS data Series. The standard 7-parameter age migration schedule due to Rogers and Castro (1981) was fitted using Microsoft excel workbook using solver. Results: Large volumes of movements occur between ages 17 and 24.The peak ages at migration are similar to those observed in Asian migration patterns. The age pattern for all the regions had two peaks contrary to the standard with four. Conclusion: The results suggest that the main contributory factors behind migration schedules are schooling, labour force and associational moves.","PeriodicalId":52433,"journal":{"name":"Etude de la Population Africaine","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Age schedules of intra-provincial migration in Kenya\",\"authors\":\"V. Awuor, G. Odipo, A. Agwanda\",\"doi\":\"10.11564/32-2-1213\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Migration today is a complex process determined by inter-related historical, geographical, economic, sociological and political factors. There are linkages between life-course transitions and patterns of movement necessitating estimation of migration propensities by age, sex and other characteristics. However, analysis of age specific migration propensities has been limited in developing countries. Data source and methods: Data was derived from the 2009 Kenya population and housing Census via the IPUMS data Series. The standard 7-parameter age migration schedule due to Rogers and Castro (1981) was fitted using Microsoft excel workbook using solver. Results: Large volumes of movements occur between ages 17 and 24.The peak ages at migration are similar to those observed in Asian migration patterns. The age pattern for all the regions had two peaks contrary to the standard with four. Conclusion: The results suggest that the main contributory factors behind migration schedules are schooling, labour force and associational moves.\",\"PeriodicalId\":52433,\"journal\":{\"name\":\"Etude de la Population Africaine\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Etude de la Population Africaine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11564/32-2-1213\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Etude de la Population Africaine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11564/32-2-1213","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
Age schedules of intra-provincial migration in Kenya
Background: Migration today is a complex process determined by inter-related historical, geographical, economic, sociological and political factors. There are linkages between life-course transitions and patterns of movement necessitating estimation of migration propensities by age, sex and other characteristics. However, analysis of age specific migration propensities has been limited in developing countries. Data source and methods: Data was derived from the 2009 Kenya population and housing Census via the IPUMS data Series. The standard 7-parameter age migration schedule due to Rogers and Castro (1981) was fitted using Microsoft excel workbook using solver. Results: Large volumes of movements occur between ages 17 and 24.The peak ages at migration are similar to those observed in Asian migration patterns. The age pattern for all the regions had two peaks contrary to the standard with four. Conclusion: The results suggest that the main contributory factors behind migration schedules are schooling, labour force and associational moves.
期刊介绍:
African Population Studies is a biannual, peer-reviewed journal that publishes original research articles, reviews, commentaries, letters and case studies on topics related to the disciplines represented by the Union for African Population Studies Association. These disciplines include demography, population studies, public health, epidemiology, social statistics, population geography, development studies, economics and other social sciences that deal with population and development interrelationships that are unique and relevant to Africa and global audience.