{"title":"评估坦桑尼亚人口增长对经济增长的长期和短期影响","authors":"David Msokwe","doi":"10.22271/maths.2024.v9.i1b.1621","DOIUrl":null,"url":null,"abstract":"This article assesses the long and short-run effects of population growth on economic growth in Tanzania using granger causality and cointegration. Time series data for the period of 1990 to 2021 were used to validate the findings on granger causality and cointegration. Data were obtained from the World Bank, and were processed using STATA software version 17. Vector error correction model was applied to examine if the regression model provides good fit before testing long run and short run causality. Test statistics show the existence of long-run effects of population growth on economic growth through labour force, market and effective use of resources like land, water and forests. Thus, the government should design a population growth strategy combined with institutional and policy changes to ensure population growth is beneficial to the country’s economy","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"40 6","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An assessment on the long and short-run effects of population growth on economic growth in Tanzania\",\"authors\":\"David Msokwe\",\"doi\":\"10.22271/maths.2024.v9.i1b.1621\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article assesses the long and short-run effects of population growth on economic growth in Tanzania using granger causality and cointegration. Time series data for the period of 1990 to 2021 were used to validate the findings on granger causality and cointegration. Data were obtained from the World Bank, and were processed using STATA software version 17. Vector error correction model was applied to examine if the regression model provides good fit before testing long run and short run causality. Test statistics show the existence of long-run effects of population growth on economic growth through labour force, market and effective use of resources like land, water and forests. Thus, the government should design a population growth strategy combined with institutional and policy changes to ensure population growth is beneficial to the country’s economy\",\"PeriodicalId\":500025,\"journal\":{\"name\":\"International journal of statistics and applied mathematics\",\"volume\":\"40 6\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of statistics and applied mathematics\",\"FirstCategoryId\":\"0\",\"ListUrlMain\":\"https://doi.org/10.22271/maths.2024.v9.i1b.1621\",\"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 statistics and applied mathematics","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.22271/maths.2024.v9.i1b.1621","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本文利用格兰杰因果关系和协整关系评估了坦桑尼亚人口增长对经济增长的长期和短期影响。本文使用 1990 年至 2021 年的时间序列数据来验证格兰杰因果关系和协整关系的研究结果。数据来自世界银行,使用 STATA 软件 17 版进行处理。在检验长期和短期因果关系之前,应用向量误差修正模型来检验回归模型是否具有良好的拟合能力。检验统计结果表明,人口增长通过劳动力、市场以及土地、水和森林等资源的有效利用对经济增长产生了长期影响。因此,政府应制定人口增长战略,并结合制度和政策变革,确保人口增长有利于国家经济的发展。
An assessment on the long and short-run effects of population growth on economic growth in Tanzania
This article assesses the long and short-run effects of population growth on economic growth in Tanzania using granger causality and cointegration. Time series data for the period of 1990 to 2021 were used to validate the findings on granger causality and cointegration. Data were obtained from the World Bank, and were processed using STATA software version 17. Vector error correction model was applied to examine if the regression model provides good fit before testing long run and short run causality. Test statistics show the existence of long-run effects of population growth on economic growth through labour force, market and effective use of resources like land, water and forests. Thus, the government should design a population growth strategy combined with institutional and policy changes to ensure population growth is beneficial to the country’s economy