{"title":"“你是什么样子的?”一种数据驱动的估算环境库兹涅茨曲线的方法","authors":"Antonio Francesco Gravina , Matteo Lanzafame","doi":"10.1016/j.eneco.2025.108649","DOIUrl":null,"url":null,"abstract":"<div><div>The substantial literature on the existence of an inverted U-shaped relationship between environmental degradation and economic growth—the so-called Environmental Kuznets Curve (EKC)—has produced very mixed evidence. This largely depends on model and variable selection uncertainty. We address these issues relying on Bayesian Model Averaging techniques. Our results indicate that the EKC has an inverted-N shape, with almost all emerging economies on the upward segment of the curve displaying a positive association between per-capita GDP and CO<sub>2</sub> emissions, and most advanced economies on the second downward segment of the curve. These findings are robust to the use of different measures of environmental pollution and (non-Bayesian) LASSO regression techniques.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"148 ","pages":"Article 108649"},"PeriodicalIF":13.6000,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"‘What's your shape?’ A data-driven approach to estimating the Environmental Kuznets Curve\",\"authors\":\"Antonio Francesco Gravina , Matteo Lanzafame\",\"doi\":\"10.1016/j.eneco.2025.108649\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The substantial literature on the existence of an inverted U-shaped relationship between environmental degradation and economic growth—the so-called Environmental Kuznets Curve (EKC)—has produced very mixed evidence. This largely depends on model and variable selection uncertainty. We address these issues relying on Bayesian Model Averaging techniques. Our results indicate that the EKC has an inverted-N shape, with almost all emerging economies on the upward segment of the curve displaying a positive association between per-capita GDP and CO<sub>2</sub> emissions, and most advanced economies on the second downward segment of the curve. These findings are robust to the use of different measures of environmental pollution and (non-Bayesian) LASSO regression techniques.</div></div>\",\"PeriodicalId\":11665,\"journal\":{\"name\":\"Energy Economics\",\"volume\":\"148 \",\"pages\":\"Article 108649\"},\"PeriodicalIF\":13.6000,\"publicationDate\":\"2025-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0140988325004761\",\"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":"Energy Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0140988325004761","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
‘What's your shape?’ A data-driven approach to estimating the Environmental Kuznets Curve
The substantial literature on the existence of an inverted U-shaped relationship between environmental degradation and economic growth—the so-called Environmental Kuznets Curve (EKC)—has produced very mixed evidence. This largely depends on model and variable selection uncertainty. We address these issues relying on Bayesian Model Averaging techniques. Our results indicate that the EKC has an inverted-N shape, with almost all emerging economies on the upward segment of the curve displaying a positive association between per-capita GDP and CO2 emissions, and most advanced economies on the second downward segment of the curve. These findings are robust to the use of different measures of environmental pollution and (non-Bayesian) LASSO regression techniques.
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.