Factor Decomposition of Regional Carbon Emissions from Energy Consumption for China

Abstract:

This paper calculates the carbon emissions from energy consumption of 30 provinces in China through 2000-2010, and research correlation of factors such as regional economic gap and regional characteristics of carbon emissions in the process of regional economic coordinated development. The LMDI decomposition model is used to decompose the growth rate of China’s carbon emissions into 4 types of driving factors, i.e. GDP, industrial pollutants emission intensity, industrial structure and imbalance of regional economic development, to analyze influence of scale effect, technical effect, industrial structure effect and regional spatial structure effect on carbon emissions in the process of China's regional economic development. The results show that: The scale effect is determinants of carbon emissions increasing. The technical effect is the most important force to inhibit the increment of carbon emissions. Industrial structure effect and regional spatial structure effect on carbon emissions are not yet stable, but have a certain pull impact on increasing carbon emissions.

• Periodical: Advanced Materials Research (Volumes 962-965)
• Pages: 1332-1337
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.962-965.1332
• Online since: June 2014
• Authors: Ya Wei Qi*
• Keywords: Carbon Emissions from Energy Consumption, Factor Decomposition, Lmdi, Regional Economic Development

References

[1] De Bruyn, S.M. Explaining the Environmental Kuznets Curve: Structural Change and International Agreements in Reducing Sulphur Emissions. Environment and Development Economics, Vol. 2 (1997), pp.485-503.

DOI: 10.1017/s1355770x97000260

[2] Zhang, Z. Decoupling China's Carbon Emission Increase from Economic Growth: An Economic Analysis and Policy Implication. World Development, Vol. 28(2000), pp.739-752.

DOI: 10.1016/s0305-750x(99)00154-0

[3] Bruvoll, A. and Medin, H. Factors behind the Environmental Kuznets Curve. Environmental and Resource Economies, Vol. 24(2003), pp.27-48.

[4] Wang Can, Chen Jining, Zou Ji. Decomposition of Energy-related CO2 Emissions in China. Energy Policy, Vol. 33(2005), pp.319-335.

[5] Xu Guo-quan, Liu Ze-yuan, Jiang Zhao-hua. Decomposition Model and Empirical Study of Carbon Emissions for China, 1995-2004. China Population Resources and Environment, Vol. 6(2006), pp.158-161.

[6] Song De-yong, Lu Zhong-bao. The Factor Decomposition and Periodic Fluctuations of Carbon Emission in China. China Population Resources and Environment, No. 3 (2009), pp.18-24.

[7] Song Jie-kun. Factor Decomposition of Carbon Emissions from Energy Consumption of Shandong Province Based on LMDI. Resources Science, No. 1 (2012), pp.35-41.

[8] Boyd, G.A., Hanson, D.A., Sterner, T. Decomposition of Changes in Energy Intensity—a Comparison of the Divisia Index and Other Methods. Energy Economics, Vol. 10(1988), pp.309-312.

DOI: 10.1016/0140-9883(88)90042-4

[9] Ang B.W., Liu F.L. A New Energy Decomposition Method: Perfect in Decomposition and Consistent in Aggregation. Energy, Vol. 26(2001), pp.537-548.

DOI: 10.1016/s0360-5442(01)00022-6

[10] Huang Jin. Environmental Pollution and Industrial Structure: An Analysis Based on Divisia Index Decomposition Method. Statistical Research, Vol. 12 (2009), pp.68-73.