Identifying the Determinants of CO2 Emission Change in China’s Power Sector

Joint Authors

Zhang, Caiqing
Zhang, Mi
Zhang, Nan

Source

Discrete Dynamics in Nature and Society

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-11-30

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Mathematics

Abstract EN

Power sector is significantly important for China to achieve the CO2 emission reduction targets.

In this study, we analyze the features of CO2 emissions and environment effect in China’s power sector, investigate the driving factors of CO2 emission change based on the logarithmic mean Divisia index (LMDI) method, and evaluate the mitigation potential of CO2 emissions in China’s power sector.

Results show that CO2 emissions in China’s power sector increased rapidly from 492.00 Mt in 1990 to 3049.88 Mt in 2014 while CO2 emission intensity experienced an unsteady downward trend during the study period.

Industrial scale effect is the key contributor to CO2 emission growth in China’s power sector, and its contribution degree reaches 123.97%.

Energy intensity effect contributes most to the decrease in CO2 emissions, with a contribution degree of −20.01%.

Capital productivity effect is another important factor leading to CO2 emissions increase.

The aggregate CO2 emission reduction would reach 17973.86 million tons (Mt) during 2015–2030 in the ideal emission reduction scenario.

Finally, policy recommendations are made for future energy-saving and CO2 emission reduction in China’s power sector.

American Psychological Association (APA)

Zhang, Caiqing& Zhang, Mi& Zhang, Nan. 2016. Identifying the Determinants of CO2 Emission Change in China’s Power Sector. Discrete Dynamics in Nature and Society،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1103359

Modern Language Association (MLA)

Zhang, Caiqing…[et al.]. Identifying the Determinants of CO2 Emission Change in China’s Power Sector. Discrete Dynamics in Nature and Society No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1103359

American Medical Association (AMA)

Zhang, Caiqing& Zhang, Mi& Zhang, Nan. Identifying the Determinants of CO2 Emission Change in China’s Power Sector. Discrete Dynamics in Nature and Society. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1103359

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1103359