除数指数
一般化
国内生产总值
因子分析
经济
阶乘
能源消耗
能量强度
索引(排版)
能量(信号处理)
数学
分解
消费(社会学)
计量经济学
统计
计算机科学
工程类
宏观经济学
化学
数学分析
万维网
社会学
有机化学
电气工程
社会科学
标识
DOI:10.1016/j.eneco.2014.07.008
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI