Estimating car use rebound effects from Swedish microdata

Author:

Andersson DavidORCID,Linscott Ross,Nässén JonasORCID

Abstract

AbstractThe direct rebound effect for private car transport was estimated by following a large sample of Swedish households (28,876) that acquired a new car in 2009. For some households, this resulted in an improvement in fuel efficiency, whereas others acquired a less or similarly fuel efficient car. The households’ travel distances were measured and analysed for a period of 3 years before and 3 years after the car was replaced. This approach differs from previous econometric analyses in which fleet-average changes in distance travelled were studied, often using fluctuations in fuel cost as a proxy for changes in fuel efficiency. No significant bivariate relationship was found between changes in fuel efficiency and annual distance travelled but a multivariate analysis that also included changes in income, number of cars in the household, car weight and car power, resulted in a significant rebound effect of 24 %. Households who bought a car that was labelled ‘green’ did not exhibit any rebound effect, while households who bought a ‘normal’ car displayed a rebound effect of 32 %. This could indicate that households that buy a car with improved fuel efficiency for environmental reasons also avoid the economically induced rebound effect. The analysis did not indicate any significant differences in the rebound effect between different socio-demographic groups.

Funder

Svenska Forskningsrådet Formas

Adlerbertska Stiftelserna

Publisher

Springer Science and Business Media LLC

Subject

General Energy

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3