评估坦桑尼亚人口增长对经济增长的长期和短期影响

David Msokwe
{"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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信