Ershad Ostadzadeh, A. Elshorbagy, Marta Tuninetti, F. Laio, A. Abdelkader
{"title":"谁将主导全球化石燃料贸易?","authors":"Ershad Ostadzadeh, A. Elshorbagy, Marta Tuninetti, F. Laio, A. Abdelkader","doi":"10.1080/09535314.2023.2174002","DOIUrl":null,"url":null,"abstract":"Fossil fuels are not distributed evenly throughout the world, and hence the countries rely heavily on international trade to secure energy supply. Characterization of the energy trade network is needed to conduct long-term assessments of energy security. This study proposes a modeling framework to assess the evolution of energy trade under current conditions as well as under future scenarios up to 2050. The total trade of each country is estimated with trade predictive models (TPMs) using key variables. Subsequently, a matrix-balancing method (RAS) is used to estimate the annual bilateral trades. The projected energy trade network in 2050 varies under each shared socioeconomic pathway (SSP) of the future, with annual fossil fuel global trades among countries ranging between 538 and 215 EJ. Canada, USA, Venezuela, and China are projected to dominate the global trade network, with Canada-USA remaining the most dominant fossil fuel trade link up to 2050.","PeriodicalId":47760,"journal":{"name":"Economic Systems Research","volume":"35 1","pages":"354 - 375"},"PeriodicalIF":1.8000,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Who will dominate the global fossil fuel trade?\",\"authors\":\"Ershad Ostadzadeh, A. Elshorbagy, Marta Tuninetti, F. Laio, A. Abdelkader\",\"doi\":\"10.1080/09535314.2023.2174002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fossil fuels are not distributed evenly throughout the world, and hence the countries rely heavily on international trade to secure energy supply. Characterization of the energy trade network is needed to conduct long-term assessments of energy security. This study proposes a modeling framework to assess the evolution of energy trade under current conditions as well as under future scenarios up to 2050. The total trade of each country is estimated with trade predictive models (TPMs) using key variables. Subsequently, a matrix-balancing method (RAS) is used to estimate the annual bilateral trades. The projected energy trade network in 2050 varies under each shared socioeconomic pathway (SSP) of the future, with annual fossil fuel global trades among countries ranging between 538 and 215 EJ. Canada, USA, Venezuela, and China are projected to dominate the global trade network, with Canada-USA remaining the most dominant fossil fuel trade link up to 2050.\",\"PeriodicalId\":47760,\"journal\":{\"name\":\"Economic Systems Research\",\"volume\":\"35 1\",\"pages\":\"354 - 375\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2023-02-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Economic Systems Research\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1080/09535314.2023.2174002\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Systems Research","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1080/09535314.2023.2174002","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
Fossil fuels are not distributed evenly throughout the world, and hence the countries rely heavily on international trade to secure energy supply. Characterization of the energy trade network is needed to conduct long-term assessments of energy security. This study proposes a modeling framework to assess the evolution of energy trade under current conditions as well as under future scenarios up to 2050. The total trade of each country is estimated with trade predictive models (TPMs) using key variables. Subsequently, a matrix-balancing method (RAS) is used to estimate the annual bilateral trades. The projected energy trade network in 2050 varies under each shared socioeconomic pathway (SSP) of the future, with annual fossil fuel global trades among countries ranging between 538 and 215 EJ. Canada, USA, Venezuela, and China are projected to dominate the global trade network, with Canada-USA remaining the most dominant fossil fuel trade link up to 2050.
期刊介绍:
Economic Systems Research is a double blind peer-reviewed scientific journal dedicated to the furtherance of theoretical and factual knowledge about economic systems, structures and processes, and their change through time and space, at the subnational, national and international level. The journal contains sensible, matter-of-fact tools and data for modelling, policy analysis, planning and decision making in large economic environments. It promotes understanding in economic thinking and between theoretical schools of East and West, North and South.