{"title":"Carbon curse: As you extract, so you will burn","authors":"Adrien Desroziers, Yassine Kirat, Arsham Reisinezhad","doi":"10.1016/j.eneco.2025.108636","DOIUrl":null,"url":null,"abstract":"The “Carbon Curse” theory suggests that fossil fuel wealth leads countries to have more carbon intensive development trajectories than they would otherwise. Using causal inference for cross-country panel data spanning 1950–2018, we globally estimate the effect of giant oil and gas discoveries on carbon emissions. Our findings show that the effect is sizable and persistent. Our results show a substantial and persistent impact: Countries that experience giant oil and gas discoveries emit approximately 50% more post-discovery <ce:italic>CO</ce:italic><ce:inf loc=\"post\">2</ce:inf> per unit of GDP and per capita compared to their resource-poor counterparts. The effect is even higher in developing economies, with an increase of around 65%, compared to about 33% in developed countries. These findings highlight the significant barriers that fossil fuel-rich nations face in aligning with decarbonization goals, posing substantial challenges for meeting the Paris Agreement targets. By exploiting the randomness of the timing of discoveries, we provide the first plausibly-causal evidence in support of the”Carbon Curse”.","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"15 1","pages":""},"PeriodicalIF":13.6000,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Economics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1016/j.eneco.2025.108636","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
The “Carbon Curse” theory suggests that fossil fuel wealth leads countries to have more carbon intensive development trajectories than they would otherwise. Using causal inference for cross-country panel data spanning 1950–2018, we globally estimate the effect of giant oil and gas discoveries on carbon emissions. Our findings show that the effect is sizable and persistent. Our results show a substantial and persistent impact: Countries that experience giant oil and gas discoveries emit approximately 50% more post-discovery CO2 per unit of GDP and per capita compared to their resource-poor counterparts. The effect is even higher in developing economies, with an increase of around 65%, compared to about 33% in developed countries. These findings highlight the significant barriers that fossil fuel-rich nations face in aligning with decarbonization goals, posing substantial challenges for meeting the Paris Agreement targets. By exploiting the randomness of the timing of discoveries, we provide the first plausibly-causal evidence in support of the”Carbon Curse”.
期刊介绍:
Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.