{"title":"Dynamic spillovers of green, brown, and financial industries under the low-carbon transition: Evidence from China","authors":"","doi":"10.1016/j.eneco.2024.107901","DOIUrl":null,"url":null,"abstract":"<div><p>Climate change has garnered significant global attention, with uncertainty surrounding the economic consequences of the transition to low-carbon emissions posing potential risks to financial markets. To assess the heterogeneous effects of this transition on financial markets, 22 carbon-sensitive industries in the Chinese market, classified into brown, green, and financial sectors, are analyzed by using the LASSO-VAR-DY model and complex network analysis. The results reveal that spillovers have changed over different stage and gradually shifted from intra-sector spillovers to more complex inter-sector spillovers. Particularly noteworthy is that this inter-sector spillover effect is especially pronounced among industries with close production linkages. Besides, the brown sector consistently acts as a spillover sender, while the financial sector becomes closely interconnected, albeit at a greater risk from the brown sector than from the green sector. These findings highlight the need to consider the spillover effects for maintaining financial stability and constructing investment portfolios.</p></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":null,"pages":null},"PeriodicalIF":13.6000,"publicationDate":"2024-09-12","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/S0140988324006091","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
Climate change has garnered significant global attention, with uncertainty surrounding the economic consequences of the transition to low-carbon emissions posing potential risks to financial markets. To assess the heterogeneous effects of this transition on financial markets, 22 carbon-sensitive industries in the Chinese market, classified into brown, green, and financial sectors, are analyzed by using the LASSO-VAR-DY model and complex network analysis. The results reveal that spillovers have changed over different stage and gradually shifted from intra-sector spillovers to more complex inter-sector spillovers. Particularly noteworthy is that this inter-sector spillover effect is especially pronounced among industries with close production linkages. Besides, the brown sector consistently acts as a spillover sender, while the financial sector becomes closely interconnected, albeit at a greater risk from the brown sector than from the green sector. These findings highlight the need to consider the spillover effects for maintaining financial stability and constructing investment portfolios.
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.