Abstract
Measuring the rebound effect (RE) of energy use and pollutant emissions is fundamental to characterizing the effects of technological progress on energy conservation and emissions reduction. This paper presents a total-factor RE model that combines the Fixed effects (FE) model, Data Envelopment Analysis (DEA), and Luenberger Productivity Indicator (LPI). The proposed model takes into account two types of disposability for variable-specific decomposition for LPI. The model includes two general indices, static inefficiency performance and dynamic inefficiency performance, which can be used to assess performance in the industrial sector and measure technological change and RE. The results show that switching from natural to managerial disposability improves energy RE by 12% but reduce RE of NOx and SO2 emissions by 22% and 24%, respectively. These findings suggest that cleaner energy expansion can promote energy RE, while reducing environmental RE.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.