{"title":"国际石油与中国新能源产业链的关联性:基于 TVP-VAR 模型的时频分析","authors":"Xiang Deng, Fang Xu","doi":"10.1016/j.eneco.2024.107954","DOIUrl":null,"url":null,"abstract":"<div><div>With the growing prominence of global environmental concerns, the interplay between the oil and new energy industries has become increasingly vital. We employ a connectedness approach based on the TVP-VAR model to explore the dynamic connectedness in both time and frequency domains between the oil and various industries within the new energy industry chains. Empirical findings reveal total connectedness of approximately 70 %, primarily manifested as inter-industry associations within the new energy industry and total connectedness predominantly emerges in short term and is sensitive to extreme events. Additionally, the oil and wind power industries have consistently played roles as net recipients of risk. Conversely, the photovoltaic, energy storage, and new energy battery industries have consistently acted as net risk propagators. The roles of the hydroelectric, nuclear power, and new energy vehicle sectors in risk propagation vary with different frequency components. Thirdly, we identify six pairs of industry combinations exhibiting significant two-way spillover effects. Finally, after two robustness tests, the above conclusions remain valid. These research findings offer valuable insights for policymakers and investors.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"140 ","pages":"Article 107954"},"PeriodicalIF":13.6000,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Connectedness between international oil and China's new energy industry chain: A time-frequency analysis based on TVP-VAR model\",\"authors\":\"Xiang Deng, Fang Xu\",\"doi\":\"10.1016/j.eneco.2024.107954\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>With the growing prominence of global environmental concerns, the interplay between the oil and new energy industries has become increasingly vital. We employ a connectedness approach based on the TVP-VAR model to explore the dynamic connectedness in both time and frequency domains between the oil and various industries within the new energy industry chains. Empirical findings reveal total connectedness of approximately 70 %, primarily manifested as inter-industry associations within the new energy industry and total connectedness predominantly emerges in short term and is sensitive to extreme events. Additionally, the oil and wind power industries have consistently played roles as net recipients of risk. Conversely, the photovoltaic, energy storage, and new energy battery industries have consistently acted as net risk propagators. The roles of the hydroelectric, nuclear power, and new energy vehicle sectors in risk propagation vary with different frequency components. Thirdly, we identify six pairs of industry combinations exhibiting significant two-way spillover effects. Finally, after two robustness tests, the above conclusions remain valid. These research findings offer valuable insights for policymakers and investors.</div></div>\",\"PeriodicalId\":11665,\"journal\":{\"name\":\"Energy Economics\",\"volume\":\"140 \",\"pages\":\"Article 107954\"},\"PeriodicalIF\":13.6000,\"publicationDate\":\"2024-10-12\",\"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/S0140988324006625\",\"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/S0140988324006625","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Connectedness between international oil and China's new energy industry chain: A time-frequency analysis based on TVP-VAR model
With the growing prominence of global environmental concerns, the interplay between the oil and new energy industries has become increasingly vital. We employ a connectedness approach based on the TVP-VAR model to explore the dynamic connectedness in both time and frequency domains between the oil and various industries within the new energy industry chains. Empirical findings reveal total connectedness of approximately 70 %, primarily manifested as inter-industry associations within the new energy industry and total connectedness predominantly emerges in short term and is sensitive to extreme events. Additionally, the oil and wind power industries have consistently played roles as net recipients of risk. Conversely, the photovoltaic, energy storage, and new energy battery industries have consistently acted as net risk propagators. The roles of the hydroelectric, nuclear power, and new energy vehicle sectors in risk propagation vary with different frequency components. Thirdly, we identify six pairs of industry combinations exhibiting significant two-way spillover effects. Finally, after two robustness tests, the above conclusions remain valid. These research findings offer valuable insights for policymakers and investors.
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.