An Exploration of Provincial Low-Carbon Economy Evaluation System Based on Principal Component-Variable Fuzzy Evaluation

Abstract:

According to indicators’ information repetition and subjectivity of the indicators’ weight set during the variable fuzzy comprehensive evaluation, Principal Component analysis can help solve the weight of the relative indicators and reduce comprehensive evaluation dimensions of the variable fussy comprehensive evaluation. This paper has made a comprehensive evaluation of the status quo of Yunnan’s low carbon economy development(2005-2009), which turns out to be more practical compared with the mere variable fussy theory analysis, thus, principal component-variable fuzzy evaluation is a kind of feasible way to analyze the regional low carbon development status.

• Periodical: Applied Mechanics and Materials (Volumes 291-294)
• Pages: 1562-1567
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.291-294.1562
• Online since: February 2013
• Authors: Ji Min Hu, Jian Long Gu, Chang Cui Hu, Hai Feng Wang
• Keywords: Comprehensive Evaluation, Low-Carbon Economy (LCE), Principal Component, Variable Fussy

References

[1] LI Xiaoyan: East China Economic Management Vol. 24(2010), p.24.

[2] REN Gaofei: Ecological Economy (2012), p.73.

[3] FANG Zhanmin: Hubei Provincial Party Committee Party School (2012), p.63.

[4] YANG Ying: China Population, Resources and Environment Vol. 22(2012), p.52.

[5] SUN Wensheng, YANG Hongyan: Journal of Hebei University of Economics and Business Vol. 33(2012), pp.54-57.

[6] WANG Xiaoli, GU Jianlong, ZHENG Li, etc.: Ecological Economy (2011), p.24.

[7] HE Xiaoqun: Multivariate Statistical Analysis. China People's University Press, Beijing(2008).