
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
An improved decomposition approach toward energy rebound effects in China: Review since 1992

Abstract Although technological progress has greatly reduced energy use, the actual energy savings have always been lower than the potential conservations. This is known as the “energy rebound effect.” This paper estimated energy rebound effects of China's fossil and non-fossil fuel consumption. Additionally, this study derived an improved approach for decomposition of energy rebound effects without presupposing production function forms. Results shows that the fossil fuel rebound effect was higher than the non-fossil fuel, which may be due to the heterogeneous impacts of technology on potential fossil and non-fossil energy savings. Furthermore, fossil and non-fossil energy rebound effects were both predominantly caused by the substitution effect instead of the output effect. Hence, vigorously improving non-fossil energy efficiency will help reduce the fossil energy rebound effect.
- Anhui University of Finance and Economics China (People's Republic of)
- Southwestern University of Finance and Economics China (People's Republic of)
- Beijing Institute of Technology China (People's Republic of)
- Anhui University of Finance and Economics China (People's Republic of)
- Beijing Institute of Technology China (People's Republic of)
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).21 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
