{"title":"汇款流入对非洲国家移徙流出的影响:统计小组分析","authors":"Md. Ashraful Islam, M. Rokonuzzaman","doi":"10.58970/ijsb.2092","DOIUrl":null,"url":null,"abstract":"This article examines the statistical results for several African nations. The country with the highest migration rate in east Africa is Sudan, where there are about 0.24 million migrants every year. Seychelles has the fewest migrants, with only 5,000 people. Tanzania, Kenya, and Uganda are the countries that get the most donations. South Africa is the nation in the South African area that receives the highest levels of emigration and remittances, with an emigration rate of 0.13 million and repatriated profits of 489.6 million US dollars. In Botswana, transfers and emigration are at their lowest levels. In our statistical analysis, the Hotelling test statistic shows the population mean vector with migration and remittances for various countries in East Africa, South Africa, and West Africa. It produces statistically significant results at the 5% level in MANOVA analyses for the equality of means test for the nations of all three regions. To construct a panel regression model on the data, the data analysis was assisted by the LM test statistic and a fixed-effect model. Panel data analysis can help identify the yearly average number of migrants and the amount of remittance in different respected regions. Migration has a significant impact on remittances, and the inability of time-series migration data to be time-series migrated is one of the study’s main constants. One can use a simulation study to get fruitful results.","PeriodicalId":297563,"journal":{"name":"International Journal of Science and Business","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of remittance inflows on the migration outflows of African countries: Statistical panel analysis\",\"authors\":\"Md. Ashraful Islam, M. Rokonuzzaman\",\"doi\":\"10.58970/ijsb.2092\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article examines the statistical results for several African nations. The country with the highest migration rate in east Africa is Sudan, where there are about 0.24 million migrants every year. Seychelles has the fewest migrants, with only 5,000 people. Tanzania, Kenya, and Uganda are the countries that get the most donations. South Africa is the nation in the South African area that receives the highest levels of emigration and remittances, with an emigration rate of 0.13 million and repatriated profits of 489.6 million US dollars. In Botswana, transfers and emigration are at their lowest levels. In our statistical analysis, the Hotelling test statistic shows the population mean vector with migration and remittances for various countries in East Africa, South Africa, and West Africa. It produces statistically significant results at the 5% level in MANOVA analyses for the equality of means test for the nations of all three regions. To construct a panel regression model on the data, the data analysis was assisted by the LM test statistic and a fixed-effect model. Panel data analysis can help identify the yearly average number of migrants and the amount of remittance in different respected regions. Migration has a significant impact on remittances, and the inability of time-series migration data to be time-series migrated is one of the study’s main constants. One can use a simulation study to get fruitful results.\",\"PeriodicalId\":297563,\"journal\":{\"name\":\"International Journal of Science and Business\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Science and Business\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.58970/ijsb.2092\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Science and Business","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.58970/ijsb.2092","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Impact of remittance inflows on the migration outflows of African countries: Statistical panel analysis
This article examines the statistical results for several African nations. The country with the highest migration rate in east Africa is Sudan, where there are about 0.24 million migrants every year. Seychelles has the fewest migrants, with only 5,000 people. Tanzania, Kenya, and Uganda are the countries that get the most donations. South Africa is the nation in the South African area that receives the highest levels of emigration and remittances, with an emigration rate of 0.13 million and repatriated profits of 489.6 million US dollars. In Botswana, transfers and emigration are at their lowest levels. In our statistical analysis, the Hotelling test statistic shows the population mean vector with migration and remittances for various countries in East Africa, South Africa, and West Africa. It produces statistically significant results at the 5% level in MANOVA analyses for the equality of means test for the nations of all three regions. To construct a panel regression model on the data, the data analysis was assisted by the LM test statistic and a fixed-effect model. Panel data analysis can help identify the yearly average number of migrants and the amount of remittance in different respected regions. Migration has a significant impact on remittances, and the inability of time-series migration data to be time-series migrated is one of the study’s main constants. One can use a simulation study to get fruitful results.