{"title":"地缘经济碎片化时代的国际贸易与经济增长","authors":"Dominick Salvatore , Janhavi Shankar Tripathi","doi":"10.1016/j.jpolmod.2025.06.017","DOIUrl":null,"url":null,"abstract":"<div><div><span><span>This paper studies the relationship between international trade and economic growth during the era of geoeconomic fragmentation (2017–2023), using a </span>simultaneous equations model estimated through the full information maximum likelihood method. The study covers 132 countries (30 advanced and 102 developing) and also analyzes trade-growth dynamics separately for large and small economies. The findings confirm that trade remains a crucial factor for economic growth, but it acts more as a facilitator than a direct driver. In advanced countries, exports positively contribute to capital formation and growth, and industrialization contributes significantly to exports, while </span>capital inflows have a negative effect on fixed capital formation. For developing countries, industrialization significantly boosts exports and in turn economic growth. The study highlights that the rise in protectionism and trade disruptions during the geoeconomic fragmentation period may weaken the positive impact of trade on growth. The results are validated through dynamic simulations, underscoring the need for strategic industrialization and trade partnerships to sustain growth in a fragmented global economy.</div></div>","PeriodicalId":48015,"journal":{"name":"Journal of Policy Modeling","volume":"47 4","pages":"Pages 862-879"},"PeriodicalIF":3.1000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"International trade and economic growth in the era of geoeconomic fragmentation\",\"authors\":\"Dominick Salvatore , Janhavi Shankar Tripathi\",\"doi\":\"10.1016/j.jpolmod.2025.06.017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div><span><span>This paper studies the relationship between international trade and economic growth during the era of geoeconomic fragmentation (2017–2023), using a </span>simultaneous equations model estimated through the full information maximum likelihood method. The study covers 132 countries (30 advanced and 102 developing) and also analyzes trade-growth dynamics separately for large and small economies. The findings confirm that trade remains a crucial factor for economic growth, but it acts more as a facilitator than a direct driver. In advanced countries, exports positively contribute to capital formation and growth, and industrialization contributes significantly to exports, while </span>capital inflows have a negative effect on fixed capital formation. For developing countries, industrialization significantly boosts exports and in turn economic growth. The study highlights that the rise in protectionism and trade disruptions during the geoeconomic fragmentation period may weaken the positive impact of trade on growth. The results are validated through dynamic simulations, underscoring the need for strategic industrialization and trade partnerships to sustain growth in a fragmented global economy.</div></div>\",\"PeriodicalId\":48015,\"journal\":{\"name\":\"Journal of Policy Modeling\",\"volume\":\"47 4\",\"pages\":\"Pages 862-879\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Policy Modeling\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0161893825000705\",\"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":"Journal of Policy Modeling","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0161893825000705","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
International trade and economic growth in the era of geoeconomic fragmentation
This paper studies the relationship between international trade and economic growth during the era of geoeconomic fragmentation (2017–2023), using a simultaneous equations model estimated through the full information maximum likelihood method. The study covers 132 countries (30 advanced and 102 developing) and also analyzes trade-growth dynamics separately for large and small economies. The findings confirm that trade remains a crucial factor for economic growth, but it acts more as a facilitator than a direct driver. In advanced countries, exports positively contribute to capital formation and growth, and industrialization contributes significantly to exports, while capital inflows have a negative effect on fixed capital formation. For developing countries, industrialization significantly boosts exports and in turn economic growth. The study highlights that the rise in protectionism and trade disruptions during the geoeconomic fragmentation period may weaken the positive impact of trade on growth. The results are validated through dynamic simulations, underscoring the need for strategic industrialization and trade partnerships to sustain growth in a fragmented global economy.
期刊介绍:
The Journal of Policy Modeling is published by Elsevier for the Society for Policy Modeling to provide a forum for analysis and debate concerning international policy issues. The journal addresses questions of critical import to the world community as a whole, and it focuses upon the economic, social, and political interdependencies between national and regional systems. This implies concern with international policies for the promotion of a better life for all human beings and, therefore, concentrates on improved methodological underpinnings for dealing with these problems.