DYNAMIC SIMULATION OF CHINA'S CARBON INTENSITY AND ENERGY INTENSITY EVALUATION FOCUSING ON INDUSTRY AND ENERGY STRUCTURE ADJUSTMENTS BY 2020

被引:14
|
作者
Xu, Feng [1 ]
Xiang, Nan [2 ]
Nijkamp, Peter [3 ]
Higano, Yoshiro [4 ]
机构
[1] Tsinghua Univ, Sch Environm Sci, Beijing 100084, Peoples R China
[2] Univ Chinese Acad Sci, Grad Sch Management, Beijing 100091, Peoples R China
[3] Vrije Univ Amsterdam, Dept Spatial Econ, Fac Econ & Business Adm, NL-1081 HV Amsterdam, Netherlands
[4] Univ Tsukuba, Fac Life & Environm Sci, Tsukuba, Ibaraki 3058572, Japan
来源
关键词
CO2; emission; carbon intensity; energy intensity; optimization dynamic simulation;
D O I
10.30638/eemj.2013.235
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Along with the rapid economic development of China, the large amount of carbon dioxide (CO2) emission has become constraint on future sustainable development. The Chinese government has established a series of policies to come with the high CO2-emission resulting from economic development with the target to reduce its carbon intensity (CO2-emissions per unit of gross domestic product (GDP)) by 40-45%, and to decrease the energy intensity (energy consumption per unit of GDP) by 20% by the year 2020, compared with 2005 levels. Industry and energy structure adjustment are the most important factors that impact on a low carbon economy, and therefore, it is necessary to pursue a comprehensive evaluation of carbon and energy intensity changes with a focus on their influences. This study aims to offer results from a comprehensive simulation modelling of China's economic development, CO2-emission, and energy flows. Through a dynamic simulation analysis based on LINGO programming, our study suggests that the carbon intensity and energy intensity in China can be reduced with 43% and 46%, respectively, while maintaining an 8% GDP annual growth rate, a proper adjustment on industry structure in term of primary, secondary and tertiary shares according to a ratio to 6: 34: 60, and an increase in non-fossil energy's share to 15% in 2020. Dynamic simulation appears to be an effective approach for assessing environmental impacts and sustainable development.
引用
收藏
页码:1897 / 1901
页数:5
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