多重共线性
中国
能源消耗
消费(社会学)
回归分析
环境经济学
自然资源经济学
航程(航空)
计量经济学
经济
环境科学
工程类
地理
统计
数学
航空航天工程
社会学
考古
电气工程
社会科学
作者
Guangyue Xu,Weimin Wang
出处
期刊:Energy
[Elsevier]
日期:2020-01-29
卷期号:195: 117045-117045
被引量:117
标识
DOI:10.1016/j.energy.2020.117045
摘要
As China takes great efforts to cap its total energy consumption, it is important to understand the future energy use in all sectors. This paper aims to present a long-term prediction of energy use in China’s construction and building sectors (CBS) up to the year 2100. A STIRPAT (Stochastic Impacts by Regression on Population, Affluence, and Technology) model is used to establish the relationship between six socioeconomic and technological factors and China’s CBS energy consumption. Based on the statistical data from 2000 to 2016, ridge regression is applied to derive the coefficients of the STIRPAT model to counter the impact of multicollinearity on regression results. The projections are performed for three scenarios: a benchmark scenario, an intensive scenario, and an extensive scenario. The results show that for all three scenarios, the overall trend of China’s CBS energy consumption is to continuously increase from the present, reach a peak in the range between 1155 and 1243 million tons of standard coal equivalent (Mtce) in 2050, and then decrease to 942–1116 Mtce in 2100. The above projection and the associated STIRPAT model are valuable for developing policies on construction and buildings to control the total energy use in China.
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