{"title":"人口老龄化对经常账户收支的经济影响","authors":"Tomas Kabrt","doi":"10.1016/j.eap.2024.10.053","DOIUrl":null,"url":null,"abstract":"<div><div>This paper focuses on the demographic determinants of current account balance (CAB) across income groups, continents, and time periods between 1993 and 2021. The benchmark model employs a panel data analysis, particularly a two-way effects estimator (<span><span>Baltagi, 2021</span></span>), with CAB as the main dependent variable, while savings rate (SAV) is used as an alternative dependent variable. It was found that the old dependency ratio, fertility rate, life expectancy, population growth, and mortality rate have a statistically significant effect on CAB and SAV, but the effects are heterogeneous across income groups and continents. In Africa, an increase in the old dependency ratio has a negative effect on CAB in accordance with the theories of <span><span>Modigliani and Sterling (1983)</span></span>, <span><span>Graham, (1987)</span></span>, and <span><span>Masson and Tryon (1990)</span></span>. Fertility rate has a negative effect on CAB in Africa while having an ambiguous effect in Asia and Europe. In line with the findings of <span><span>Mason and Lee (2006)</span></span>, there is a positive relationship between fertility rates and CAB and SAV in lower-middle-income countries and negative relationship in high-income countries. Conversely, population growth affects negatively CAB and SAV in lower middle-income countries and positively in high-income countries.</div></div>","PeriodicalId":54200,"journal":{"name":"Economic Analysis and Policy","volume":"84 ","pages":"Pages 1895-1909"},"PeriodicalIF":7.9000,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The economic implications of population aging on current account balance\",\"authors\":\"Tomas Kabrt\",\"doi\":\"10.1016/j.eap.2024.10.053\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper focuses on the demographic determinants of current account balance (CAB) across income groups, continents, and time periods between 1993 and 2021. The benchmark model employs a panel data analysis, particularly a two-way effects estimator (<span><span>Baltagi, 2021</span></span>), with CAB as the main dependent variable, while savings rate (SAV) is used as an alternative dependent variable. It was found that the old dependency ratio, fertility rate, life expectancy, population growth, and mortality rate have a statistically significant effect on CAB and SAV, but the effects are heterogeneous across income groups and continents. In Africa, an increase in the old dependency ratio has a negative effect on CAB in accordance with the theories of <span><span>Modigliani and Sterling (1983)</span></span>, <span><span>Graham, (1987)</span></span>, and <span><span>Masson and Tryon (1990)</span></span>. Fertility rate has a negative effect on CAB in Africa while having an ambiguous effect in Asia and Europe. In line with the findings of <span><span>Mason and Lee (2006)</span></span>, there is a positive relationship between fertility rates and CAB and SAV in lower-middle-income countries and negative relationship in high-income countries. Conversely, population growth affects negatively CAB and SAV in lower middle-income countries and positively in high-income countries.</div></div>\",\"PeriodicalId\":54200,\"journal\":{\"name\":\"Economic Analysis and Policy\",\"volume\":\"84 \",\"pages\":\"Pages 1895-1909\"},\"PeriodicalIF\":7.9000,\"publicationDate\":\"2024-11-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Economic Analysis and Policy\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0313592624003096\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Analysis and Policy","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0313592624003096","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
The economic implications of population aging on current account balance
This paper focuses on the demographic determinants of current account balance (CAB) across income groups, continents, and time periods between 1993 and 2021. The benchmark model employs a panel data analysis, particularly a two-way effects estimator (Baltagi, 2021), with CAB as the main dependent variable, while savings rate (SAV) is used as an alternative dependent variable. It was found that the old dependency ratio, fertility rate, life expectancy, population growth, and mortality rate have a statistically significant effect on CAB and SAV, but the effects are heterogeneous across income groups and continents. In Africa, an increase in the old dependency ratio has a negative effect on CAB in accordance with the theories of Modigliani and Sterling (1983), Graham, (1987), and Masson and Tryon (1990). Fertility rate has a negative effect on CAB in Africa while having an ambiguous effect in Asia and Europe. In line with the findings of Mason and Lee (2006), there is a positive relationship between fertility rates and CAB and SAV in lower-middle-income countries and negative relationship in high-income countries. Conversely, population growth affects negatively CAB and SAV in lower middle-income countries and positively in high-income countries.
期刊介绍:
Economic Analysis and Policy (established 1970) publishes articles from all branches of economics with a particular focus on research, theoretical and applied, which has strong policy relevance. The journal also publishes survey articles and empirical replications on key policy issues. Authors are expected to highlight the main insights in a non-technical introduction and in the conclusion.