美国和中非共和国净移民统计预测

Tianqing Bei, Hanlei Gao, Ruiyang Gao, Guangtong Shi
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摘要

移民是当前国际社会中一个非常重要的环节。本文将通过两种不同的模型--漂移模型和 ARIMA 模型--对美国和中非共和国的净移民进行研究和预测,并进一步探讨这两个国家之间的移民趋势和影响因素。结果表明,从 1960 年到 2021 年,美国和中非共和国的净移民呈现出截然不同的趋势。美国作为发达国家,吸引了大量来自世界各地的移民,而中非共和国作为发展中国家,移民流动主要受该地区经济、政治和社会因素的影响。由此可见,发展中国家和发达国家对移民数量的影响是不同的。本研究为进一步了解美国和中非共和国的人口迁移和净移民提供了依据。
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Statistical forecasting of U.S. and Central African Republic net migration
Immigration is a very important link in the current international society. This paper will study and predict the net immigration of the United States and the Central African Republic through two different models- drift model and ARIMA model, and to further explore the trends and influencing factors of migration between these countries. The results show that from 1960 to 2021, net migration from the United States and the Central African Republic showed very different trends. The United States, as a developed country, attracts a large number of immigrants from all over the world, while the Central African Republic, as a developing country, the flow of immigrants is mainly affected by economic, political and social factors in the region. Therefore, it can be seen that developing countries and developed countries have different impacts on the number of immigrants. This study provides a basis for further understanding of population migration and net migration of United States and Central African Republic.
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