The analysis of influence factors and the trend prediction of Qingdao carbon emissions based on KAYA model

被引：0
|
作者：
Qiu, Lixin [1 ]
Song, Yanlei [1 ]
机构：
[1] Economy and Management Institute, Qingdao University of Science and Technology, Qingdao 266061, China
来源：
Energy Education Science and Technology Part A: Energy Science and Research | 2013年 / 31卷 / 03期
关键词：
Analysis of influence factors - Carbon dioxide emissions - Carbon emissions - Energy demands - Low-carbon cities - Research object - Total emissions - Trend prediction;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, Qingdao is taken as the research object, and the carbon footprint and influencing factors are analyzed from the aspects of its production, transportation, construction and the total emissions. Based on the analysis of the relationship in Qingdao population, economy, energy demand and carbon dioxide emissions, by using the theory of decoupling this paper makes the prediction of the carbon emission trends under three different scenarios. © Sila Science.
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页码：1413 / 1418
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