EconPapers    
Economics at your fingertips  
 

Does development of renewable energy reduce energy intensity? Evidence from 82 countries

Shiwei Yu, Jie Liu, Xing Hu and Peng Tian

Technological Forecasting and Social Change, 2022, vol. 174, issue C

Abstract: In recent years, renewable energy (RE) has seen rapid development worldwide. However, energy intensity has not declined at the same rate. This study applies a dynamic panel threshold regression model to explore the effects of RE development on energy intensity in 82 major countries. The results show that RE development has a significantly negative impact on energy intensity. Specifically, for every 10.0% increase in RE development, energy intensity reduces by 0.3%. The threshold point of the effect is determined and estimated at 2.3588 (the equivalent RE consumption is 10.58 billion MJ) between the low and the high development regimes of RE. Every 10.0% increase in the development of RE leads to a 2.2% decrease in energy intensity in the high development regime, but only 0.2% decrease in the low development regime. Economic development has a significantly negative impact on energy intensity, while energy consumption structure based on non-renewable energy creates has a significantly positive impact. All countries should increase the consumption of renewable energy to more than 10.58 billion MJ to cut energy intensity and improve the technical content of international trade products, especially in low renewable energy development level regimes.

Keywords: Renewable energy; Energy intensity; Renewable energy development regime; Dynamic panel threshold regression model (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162521006880
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:174:y:2022:i:c:s0040162521006880

DOI: 10.1016/j.techfore.2021.121254

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:tefoso:v:174:y:2022:i:c:s0040162521006880