Study on CO2 Intensity Reduction Allocation of Construction Industry in East China

Article Preview

Abstract:

Our Government Made a Solemn Promise, which is our CO2 Emission of per-Unit GDP will be Reduced by 40%~45% in 2020 than that in 2005. with High Energy Consumption, Construction Industry Faces the Problem of how to Allocate the Right of CO2 Emission Reasonably for this Target. the Paper Takes the Construction Industry of Six Provinces and One City Located in East China as Objects of Study, Constructing a CO2 Emission Allocation Model Based on Average Total Profits, Historical Accumulated CO2 Emission and Energy Consumption per-Unit Industrial Added Value in Construction of Base Year. Meanwhile, in the Basis of Different Weight Coefficient of Three Indices, there Exists Four Preferring Cases of Equally Weighting, Capacity, Responsibly and Potential, Consequently, Four Groups of the CO2 Intensity Reduction Burden Statistics from Construction Industry of Regions in East China were Obtained, with Corresponding Analysis and Policy Recommendations such as Establishing Carbon Trading Mechanism to Coordinate the Efforts of all Quarters and Balance the Relationship between Environment and Development.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 945-949)

Pages:

3522-3526

Citation:

Online since:

June 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] McKibbin W J, Wilcoxen P J: The Journal of Economic Perspectives. Vol. 16(2002), pp.107-129.

Google Scholar

[2] Cheng F. Lee, Sue J. Lin, et al: Energy Policy. Vol. 36(2008), pp.722-729.

Google Scholar

[3] Yi, Wen-Jing, et al: Energy Policy. Vol. 39(2011), pp.2407-2415.

Google Scholar

[4] J.Y. Ji, X.K. Jiang: Journal of Ocean University of China: Social Sciences. Vol. 1(2012), pp.53-57.

Google Scholar

[5] National Bureau of Statistics of PRC: China Statistical Yearbook(2011)(China Statistics Press, Beijing 2012).

Google Scholar

[6] National Bureau of Statistics of PRC: China Statistical Yearbook(2005)(China Statistics Press, Beijing 2006).

Google Scholar

[7] National Bureau of Statistics of PRC: China Energy Statistical Yearbook(2000-2010)(China Statistics Press, Beijing 2001-2011).

Google Scholar

[8] Y.X. Wang, H. Wang, J. Xiao: Systems Engineering-theory & Practice, Vol. 12(2010), pp.2244-2253.

Google Scholar

[9] Information on http: /www. ipcc-nggip. iges. or. jp/public/2006gl/vol2. html.

Google Scholar