Analysis of Factors Estimation and Influence of Regional CO2 Emissions—A Case of Shandong Province Example
Qiang Zhao, Jie Li, Chaoyue Li
Available Online December 2015.
- https://doi.org/10.2991/isesce-15.2015.56How to use a DOI?
- CO2 Emission,Kaya identity,Energy,Shandong province
- Contemporary society with the economic development, the demand for fossil fuels was increasing, leading to the increase of CO2 emissions, resulting in more serious environmental problems. So it was of great significance to analyze carbon emissions and the factors that affected its emissions, which could promote the sustainable development of low-carbon economy. According to the IPCC2006 method, the CO2 emissions of Shandong province in 1995-2012 were estimated by method, and the important factors affecting CO2 emissions were analyzed by using Kaya identity and Laspeyres decomposition method. The results showed that the most important factor affecting CO2 emissions was the population, energy structure, economic development level and energy structure carbon intensity; developing clean energy was an important way to reduce energy consumption and CO2 emissions, and it was an important choice to achieve low carbon economy.This study provided an important reference value for protecting environment and promoting sustainable development of economy.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Qiang Zhao AU - Jie Li AU - Chaoyue Li PY - 2015/12 DA - 2015/12 TI - Analysis of Factors Estimation and Influence of Regional CO2 Emissions—A Case of Shandong Province Example BT - Proceedings of the 2015 International Symposium on Energy Science and Chemical Engineering PB - Atlantis Press SP - 277 EP - 281 SN - 2352-5401 UR - https://doi.org/10.2991/isesce-15.2015.56 DO - https://doi.org/10.2991/isesce-15.2015.56 ID - Zhao2015/12 ER -