Determinants of the increased COSubscript2/Subs

Authors: Zhaohua Wang Bin Zhang Jianhua Yin

Publish Date: 2011/09/22

Volume: 62, Issue: 1, Pages: 17-30

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Abstract

Climate change has not only brought about many natural hazards but also threaten the sustainable development of industry This study is to investigate the adaptive implications for energyintensive industries of China in response to climate change impacts For this purpose a deep and comprehensive analysis on the change of CO2 emission for 6 energyintensive sectors is explored over the period of 2000–2007 A LogMean Divisia Index based on time series is also introduced in our study to identify the key factors toward the change of CO2 emission It is shown that there were 1461 million metric tons carbon increased in energyintensive industries from 2000 to 2007 And the excessive growth of industrial output and increasingly fossilintensive energy consumption structure were the main driving forces for the increased CO2 emission Nevertheless energy intensity change and declining emission coefficient of electricity played negative role in the growing trend of CO2 emission On the basis of these four determinants namely industrial output energy intensity fuel mix effect and emission coefficient it is suggested that both economic motives and technologically feasible approaches should be implemented to control the scale of excessive productions and improve energy efficiency toward the energyintensive industries And more importantly strengthening energyintensive sectors’ awareness of climate change adaptation should be given stronger emphasis as longterm work with the help of some propaganda campaigns for instanceThis study is supported by the Program for New Century Excellent Talents in University Reference no NCET100048 the Fok Ying Tung Education Foundation Project no 121079 National Nature Science Foundation of China Reference no 71173017 71172106 70773008 Doctoral Fund of Ministry of Education of China 20101101110034 State Key Development Program of Basic Research of China Reference no 2012CB95570003 2012CB95570004 and Nature Science Foundation of Beijing Reference no 9112013 9092015 The authors also want to thank Dr Lele Zou for her comments and suggestions

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