Exploring the direct rebound effect of residential electricity consumption: An empirical study in China
Yue-Jun Zhang () and
Applied Energy, 2017, vol. 196, issue C, 132-141
Due to the energy rebound effect, the electricity conservation brought about by improving the electricity efficiency of China’s households may be not as much as expected. Therefore, this paper employs the panel threshold model to investigate the direct rebound effect of China’s residential electricity consumption under different kinds of regimes and its main influencing factors during 2000–2013. The results show that, first, the direct rebound effect (RE) of China’s residential electricity consumption is about 72% on average. Second, the direct RE is about 68% (55%) in the low (high) income regime, and the increase in GDP per capita may help to reduce the direct RE. Third, the direct RE is around 75% (90%) in the low (high) cooling degree days regime, and the decrease in cooling degree days may reduce the direct RE. Fourth, the direct RE is around 68% (86%) in the light (heavy) rainfall regime, and the decrease of rainfall may help to reduce the direct RE. Finally, GDP per capita and population have significant positive impact on residential electricity consumption; while the impact of cooling degree days and rainfall appears relatively weaker.
Keywords: Residential electricity consumption; Direct rebound effect; Panel threshold model (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13) Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:196:y:2017:i:c:p:132-141
Ordering information: This journal article can be ordered from
http://www.elsevier. ... 405891/bibliographic
Access Statistics for this article
Applied Energy is currently edited by J. Yan
More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().