Influencing Factors of CO 2 Emissions in Chinese Power Industry: A Study from the Production and Consumption Perspectives
China's huge regional differences are taken into consideration to study the influencing factors and their differences in CO emissions of the power industry from different regions. This study aimed to improve the efficiency of CO emission reduction policies. From the production and consumption p...
Saved in:
Published in | Computational intelligence and neuroscience Vol. 2022; p. 3615492 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
United States
2022
|
Online Access | Get full text |
Cover
Loading…
Summary: | China's huge regional differences are taken into consideration to study the influencing factors and their differences in CO
emissions of the power industry from different regions. This study aimed to improve the efficiency of CO
emission reduction policies. From the production and consumption perspectives, this study analyzes the influencing factors of CO
emissions and utilizes the Logarithmic Mean Divisia Index (LMDI) to decompose CO
emissions with consideration of the cross-regional power dispatching in the power industry. The results indicate that the trend of CO
emissions in the eastern, central, and western China seems similar during years 2005 to 2017 no matter from which perspective. From the production perspective, power consumption is the main factor in CO
emission increase and its affect extent may vary from different regions over a period of time. Energy efficiency inhibits CO
emission increase in all regions. The power structure and power distribution across regions affect CO
emissions significantly different in amount and direction from region to region. From the consumption perspective, economic activity plays a major role in CO
emission increase and plays a similar role in the trend of CO
emissions in three regions, but its affect extent on CO
emissions varies in different regions. Targeted policy recommendations are provided to reduce CO
emissions more effectively from China's power industry. |
---|---|
ISSN: | 1687-5273 |