{"title":"Electricity market resilience in the face of Hurricane Harvey: A network-oriented approach","authors":"Yue Zhao , Adria E. Brooks , Xiaodong Du","doi":"10.1016/j.eneco.2024.107879","DOIUrl":null,"url":null,"abstract":"<div><div>In our study, we analyze the nodal price responses to Hurricane Harvey in the Texas wholesale electricity market, treating the event as a natural experiment. Using a network matrix and synthetic control method, we find that the most significant price impacts occurred in southern Texas, particularly in nodes that were connected to fewer other nodes and were electrically closer to the most damaged parts of the network. This finding highlights the importance of adopting an electric network-oriented perspective when examining the impacts of external shocks on the wholesale electricity market. Furthermore, our study reveals that counties with inferior economic conditions and frequent exposure to hurricanes experienced more substantial economic losses due to electricity price spikes. Therefore, enhancing electric infrastructure and disaster preparedness in those regions is crucial for policy considerations.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"139 ","pages":"Article 107879"},"PeriodicalIF":13.6000,"publicationDate":"2024-09-20","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/S0140988324005875","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
In our study, we analyze the nodal price responses to Hurricane Harvey in the Texas wholesale electricity market, treating the event as a natural experiment. Using a network matrix and synthetic control method, we find that the most significant price impacts occurred in southern Texas, particularly in nodes that were connected to fewer other nodes and were electrically closer to the most damaged parts of the network. This finding highlights the importance of adopting an electric network-oriented perspective when examining the impacts of external shocks on the wholesale electricity market. Furthermore, our study reveals that counties with inferior economic conditions and frequent exposure to hurricanes experienced more substantial economic losses due to electricity price spikes. Therefore, enhancing electric infrastructure and disaster preparedness in those regions is crucial for policy considerations.
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.