{"title":"中国的气候变化适应:城乡居民用电量的差异","authors":"Yefei Sun , Michael Hanemann","doi":"10.1016/j.eneco.2024.107958","DOIUrl":null,"url":null,"abstract":"<div><div>We use high-frequency electricity consumption data (17.58 million observations) at level of household to parameterize the relationship between household electricity consumption and temperature for southern China. We find that although urban households are more sensitive to extreme temperature than rural households, with climate warming, rural households would adopt climate change adaptive behavior (e.g. installing air-conditioning), and rural households' sensitivity to temperature would increase significantly. Considering the long-run response, we find that climate warming as predicted under the RCP8.5 scenario would lead to an increase of 23.42 % and 22.28 % in the summer peak electricity consumption of rural and urban households in 2061–2080. Compared with the results of short-run response, ignoring the long-run response would lead to the summer peak electricity consumption of rural and urban households being underestimated by 56.13 % and 20.11 %. Only for our research sample, the economic losses in rural and urban areas caused by climate warming are as high as 1.358 billion Chinese yuan and 0.617 billion Chinese yuan in 2061–2080 under the RCP 8.5 scenario. Climate change would bring serious losses to rural residents.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":null,"pages":null},"PeriodicalIF":13.6000,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Climate change adaptation in China: Differences in electricity consumption between rural and urban residents\",\"authors\":\"Yefei Sun , Michael Hanemann\",\"doi\":\"10.1016/j.eneco.2024.107958\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>We use high-frequency electricity consumption data (17.58 million observations) at level of household to parameterize the relationship between household electricity consumption and temperature for southern China. We find that although urban households are more sensitive to extreme temperature than rural households, with climate warming, rural households would adopt climate change adaptive behavior (e.g. installing air-conditioning), and rural households' sensitivity to temperature would increase significantly. Considering the long-run response, we find that climate warming as predicted under the RCP8.5 scenario would lead to an increase of 23.42 % and 22.28 % in the summer peak electricity consumption of rural and urban households in 2061–2080. Compared with the results of short-run response, ignoring the long-run response would lead to the summer peak electricity consumption of rural and urban households being underestimated by 56.13 % and 20.11 %. Only for our research sample, the economic losses in rural and urban areas caused by climate warming are as high as 1.358 billion Chinese yuan and 0.617 billion Chinese yuan in 2061–2080 under the RCP 8.5 scenario. Climate change would bring serious losses to rural residents.</div></div>\",\"PeriodicalId\":11665,\"journal\":{\"name\":\"Energy Economics\",\"volume\":null,\"pages\":null},\"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/S0140988324006662\",\"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/S0140988324006662","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Climate change adaptation in China: Differences in electricity consumption between rural and urban residents
We use high-frequency electricity consumption data (17.58 million observations) at level of household to parameterize the relationship between household electricity consumption and temperature for southern China. We find that although urban households are more sensitive to extreme temperature than rural households, with climate warming, rural households would adopt climate change adaptive behavior (e.g. installing air-conditioning), and rural households' sensitivity to temperature would increase significantly. Considering the long-run response, we find that climate warming as predicted under the RCP8.5 scenario would lead to an increase of 23.42 % and 22.28 % in the summer peak electricity consumption of rural and urban households in 2061–2080. Compared with the results of short-run response, ignoring the long-run response would lead to the summer peak electricity consumption of rural and urban households being underestimated by 56.13 % and 20.11 %. Only for our research sample, the economic losses in rural and urban areas caused by climate warming are as high as 1.358 billion Chinese yuan and 0.617 billion Chinese yuan in 2061–2080 under the RCP 8.5 scenario. Climate change would bring serious losses to rural residents.
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.