{"title":"住房节能投资","authors":"Kelly C. Bishop, Ozgen Kiribrahim-Sarikaya","doi":"10.1016/j.regsciurbeco.2024.103994","DOIUrl":null,"url":null,"abstract":"<div><p>In recent years, many papers in environmental economics have considered the household’s decision to invest in energy-efficient technologies for their home. The vast majority of these studies have concluded that investment levels in these technologies are sub-optimal for a variety of reasons. In this paper, we synthesize the suggested drivers of these investment wedges and propose a dynamic modeling framework of a housing choice and an energy-efficient-investment choice that includes the proposed channels. We discuss the estimation challenges associated with this model and conclude with suggestions for future research.</p></div>","PeriodicalId":48196,"journal":{"name":"Regional Science and Urban Economics","volume":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2024-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Energy-efficient investments in housing\",\"authors\":\"Kelly C. Bishop, Ozgen Kiribrahim-Sarikaya\",\"doi\":\"10.1016/j.regsciurbeco.2024.103994\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In recent years, many papers in environmental economics have considered the household’s decision to invest in energy-efficient technologies for their home. The vast majority of these studies have concluded that investment levels in these technologies are sub-optimal for a variety of reasons. In this paper, we synthesize the suggested drivers of these investment wedges and propose a dynamic modeling framework of a housing choice and an energy-efficient-investment choice that includes the proposed channels. We discuss the estimation challenges associated with this model and conclude with suggestions for future research.</p></div>\",\"PeriodicalId\":48196,\"journal\":{\"name\":\"Regional Science and Urban Economics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2024-02-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Regional Science and Urban Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0166046224000188\",\"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":"Regional Science and Urban Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0166046224000188","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
In recent years, many papers in environmental economics have considered the household’s decision to invest in energy-efficient technologies for their home. The vast majority of these studies have concluded that investment levels in these technologies are sub-optimal for a variety of reasons. In this paper, we synthesize the suggested drivers of these investment wedges and propose a dynamic modeling framework of a housing choice and an energy-efficient-investment choice that includes the proposed channels. We discuss the estimation challenges associated with this model and conclude with suggestions for future research.
期刊介绍：
Regional Science and Urban Economics facilitates and encourages high-quality scholarship on important issues in regional and urban economics. It publishes significant contributions that are theoretical or empirical, positive or normative. It solicits original papers with a spatial dimension that can be of interest to economists. Empirical papers studying causal mechanisms are expected to propose a convincing identification strategy.
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