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Estimating long-term and short-term CO2 rebound effects of China's urban residential sector: evidence from a dynamic econometric approach.

Authors :
Miao, Lu
Zhen, Wei
Source :
Economic Research-Ekonomska Istrazivanja; 2023, Vol. 36 Issue 2, p1-23, 23p
Publication Year :
2023

Abstract

This study quantifies China's urban residential CO<subscript>2</subscript> rebound owing to improvements in energy efficiency. We use a dynamic econometric model (error corrected linear approximated almost ideal demand system, ECM-LA-AIDS) to examine the relationship between energy-efficiency promotion, energy consumption behaviour, and the CO<subscript>2</subscript> rebound effect. An improvement in energy efficiency lowers the energy price, resulting in unbalanced short- and long-term energy consumption behaviours. Inconsistent short- and long-term energy-efficiency policies may lead to greater rebound effects. Therefore, this study estimates the residential energy-related CO<subscript>2</subscript> (ECR-CO<subscript>2</subscript>) rebound effects considering both short- and long-term consumption patterns to provide targeted policies for controlling residential ECR-CO<subscript>2</subscript>. The results indicate that the short- and long-term urban residential ECR-CO<subscript>2</subscript> effects differ across regions and provinces. Additionally, the direct rebound effect contributes more to the total ECR-CO<subscript>2</subscript> rebound effect than the indirect rebound effect. Finally, at the national level, the urban residential ECR-CO<subscript>2</subscript> rebound effects exhibit a U-shaped divergence, indicating that, among the 31 Chinese provinces considered, the ECR-CO<subscript>2</subscript> rebound effect first converges and then diverges, owing to differences in the levels of technological progress. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1331677X
Volume :
36
Issue :
2
Database :
Complementary Index
Journal :
Economic Research-Ekonomska Istrazivanja
Publication Type :
Academic Journal
Accession number :
175302016
Full Text :
https://doi.org/10.1080/1331677X.2022.2142817