María-Ángeles Tobarra, Luis A. López, Ángela García-Alaminos, María-Ángeles Cadarso
{"title":"Identifying critical EU carbon emissions risk through global value chains","authors":"María-Ángeles Tobarra, Luis A. López, Ángela García-Alaminos, María-Ángeles Cadarso","doi":"10.1016/j.strueco.2025.05.016","DOIUrl":null,"url":null,"abstract":"<div><div>Global value chains (GVC) are a key element in discussions about trade dependencies/bottlenecks and recent EU policy proposals. Similarly, carbon-emissions reduction measures feature predominantly in the design of EU strategies and require sector-detailed knowledge about where emissions are generated along GVC.</div><div>We use input-output techniques to identify carbon upstream and downstream sectoral hotspots within EU’s GVC and classify industries according to their exposure to changes in carbon-related and trade policy. We introduce a novel (climate-reshoring, CRI) index to measure carbon dependency and apply it to sectors currently targeted by EU policy for potential backshoring.</div><div>Our results show that sectors demanding and supplying high-carbon-emissions goods are different, implying that EU countries' differences in exposure depend on their industrial structure and trade patterns. Top downstream-imported emissions come from Russian refined petroleum products, while upstream-emissions EU hotspots include Electricity & gas, Basic metals from China and Russia, and Chinese Chemical and Other non-metallic products. Regarding CRI, the sectors most at risk by carbon dependencies and trade disruptions are Computer, electronic and optical equipment; Pharmaceutical; and Electrical equipment, all identified as critical by EU’s Open Strategic Autonomy. Core-EU economies and large Southern countries show the highest levels of CRI, mainly due to their dependence on critical foreign sectors rather than a high imported emissions risk index.</div><div>These findings highlight the need to consider sectoral-level carbon exposure in policy-making. Specific measures aimed at increasing the UE production in sectors and countries with high CRI would be beneficial both in terms of resilience and climate-change fight.</div></div>","PeriodicalId":47829,"journal":{"name":"Structural Change and Economic Dynamics","volume":"74 ","pages":"Pages 660-676"},"PeriodicalIF":5.5000,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Structural Change and Economic Dynamics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0954349X25000876","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Global value chains (GVC) are a key element in discussions about trade dependencies/bottlenecks and recent EU policy proposals. Similarly, carbon-emissions reduction measures feature predominantly in the design of EU strategies and require sector-detailed knowledge about where emissions are generated along GVC.
We use input-output techniques to identify carbon upstream and downstream sectoral hotspots within EU’s GVC and classify industries according to their exposure to changes in carbon-related and trade policy. We introduce a novel (climate-reshoring, CRI) index to measure carbon dependency and apply it to sectors currently targeted by EU policy for potential backshoring.
Our results show that sectors demanding and supplying high-carbon-emissions goods are different, implying that EU countries' differences in exposure depend on their industrial structure and trade patterns. Top downstream-imported emissions come from Russian refined petroleum products, while upstream-emissions EU hotspots include Electricity & gas, Basic metals from China and Russia, and Chinese Chemical and Other non-metallic products. Regarding CRI, the sectors most at risk by carbon dependencies and trade disruptions are Computer, electronic and optical equipment; Pharmaceutical; and Electrical equipment, all identified as critical by EU’s Open Strategic Autonomy. Core-EU economies and large Southern countries show the highest levels of CRI, mainly due to their dependence on critical foreign sectors rather than a high imported emissions risk index.
These findings highlight the need to consider sectoral-level carbon exposure in policy-making. Specific measures aimed at increasing the UE production in sectors and countries with high CRI would be beneficial both in terms of resilience and climate-change fight.
期刊介绍:
Structural Change and Economic Dynamics publishes articles about theoretical, applied and methodological aspects of structural change in economic systems. The journal publishes work analysing dynamics and structural breaks in economic, technological, behavioural and institutional patterns.