Factorial decomposition of CO2 emissions: A generalized Divisia index approach

被引:126
|
作者
Vaninsky, Alexander [1 ]
机构
[1] CUNY, Hostos Community Coll, Dept Math, Bronx, NY 10451 USA
关键词
Air pollution; Environmental impact; Index numbers; Divisia index; Kaya identity; CARBON-DIOXIDE EMISSIONS; ENERGY INTENSITY; ELECTRICITY-GENERATION; RESIDENTIAL SECTOR; ECONOMIC-GROWTH; POWER SECTOR; CHINA; CONSUMPTION; INDUSTRY; COUNTRIES;
D O I
10.1016/j.eneco.2014.07.008
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper introduces a novel approach to estimating the impact of the major factors driving CO2 emissions: GDP, energy consumption, population, their carbon intensities, and other related indicators that may be chosen arbitrarily. The suggested approach is based on the generalization of the Divisia index to interconnected factors. The approach also extends the Kaya identity by explicitly including Gross Domestic Product and energy consumption. A computer program in R language aimed at automating the calculations is supplied. Factorial analysis of the United States' and China's CO2 emissions is provided as an example of application. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:389 / 400
页数:12
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