能源消费强度

并重点分析了人口增长、能源消费强度变化的人均碳排放的影响。

And it concentrates on the impacts of population expansion and changes in GNP energy intensity on the per capita carbon emission .

基于能源禀赋的地区能源消费强度差异研究

Research on the Regional Energy Intensity Difference

时间效应分析表明，与发达国家相同，中国能源消费强度呈现明显的倒“U”字型；

Temporal effect of energy consumption analyses indicate that , like to developed country China energy consumption intensity presents apparent invert U ;

能源消费强度是指单位GDP所使用的能源量，是衡量能源使用效率的重要指标。

The energy consumption intensity refers to the energy quantity which per GDP used , which is an important index to measure the efficiency of energy consumption .

利用历史统计数据，定量研究了碳排放强度下降率与国内生产总值（GDP）的增长率、碳排放增长对GDP的弹性、能源消费强度以及能源消费的碳强度等相关关系。

Quantitative analyses of historical trends were used to identify the relationships between decreases rate of greenhouse gas emissions and the GDP growth rate , between carbon emission elasticity and the GDP , and between the energy consumption intensity and the carbon content of the energy supply .

我国工业部门能源消费强度特征分析及分解

Analysis of Energy Consumption Intensity 's Characteristics in the Industrial Sector in China

就轻度排放区域来说，除了降低能源消费强度和提高经济发展水平因素以外，还可以通过优化产业结构来降低碳排放强度。

For light carbon emission area , in addition to reducing energy consumption intensity and improve the strength level of economic development , we can also reduce the carbon emissions intensity by optimize the industrial structure .

1958～1975年期间，能源消费的强度变化和GDP的产出呈现不对称性；

And the changes of energy intensity and GDP were different ;

本文应用因素分解方法，计算了1993&2005年工业部门内部轻重结构变化对能源消费和能源强度的影响，发现重工业比例每增加一个百分点，则能源消费增加约1000万吨标煤；

Applying decomposition method , the paper calculated the effects of light-heavy industry structure changes on energy consumption and energy intensity . One conclusion is that every additional one percent of heavy industry delivers energy consumption 1000 more Tce .

将二氧化碳排放总量的变化分解成五个主要影响因素，即化石燃料的排放系数、能源消费结构、能源强度、人均GDP和人口总数。

The observed changes were attributed to five different factors , that is , the coeffcient of fossil fuels , the fuel share in total energy consumption , the energy intensity , the GDP per capita and the gross population .