资源与产业 ›› 2015, Vol. 17 ›› Issue (1): 79-83.

• 资源环境 • 上一篇    下一篇

碳排放影响因素研究综述

任静*   

  1. 郑州科技学院土木建筑工程学院,河南 郑州450064
  • 收稿日期:2012-02-09 修回日期:2014-11-27 出版日期:2015-02-20 发布日期:2015-02-20
  • 通讯作者: 任静(E-mail: renjing0420@163.com)

REVIEWS ON CARBON EMISSION FACTORS

REN Jing*   

  1. School of Civil Engineering, Zhengzhou University of Science and Technology, Zhengzhou 450064, China
  • Received:2012-02-09 Revised:2014-11-27 Online:2015-02-20 Published:2015-02-20

摘要: 为了掌握碳排放影响因素研究的进展,采用比较分析的手段,从碳排放影响因素的研究尺度和对象、分析方法、研究结论等方面进行梳理和概括。现有的研究成果呈现以下特点:1)根据研究所选择的驱动因子不同,大致可分为综合因素分析和单因素分析;2)研究所采用的分析方法主要有因素分解法、相关性分析法、灰色关联度分析法、回归分析法、构造协整方程法、向量误差修正模型法、Granger因果检验法;3)代表性的研究结论有3种:经济驱动论、技术抑制论和阶段贡献论;4)不同研究的研究尺度和研究对象不同,国家层面研究较多,省市层面研究相对较少。最后指出了还需进一步深入研究的内容。

关键词: 碳排放, 影响因素, 分析方法, Granger因果检验法, 因归分析法

Abstract: In order to understand the advances in studying carbon emission factors, this paper uses comparison to review the carbon emission factors from scale, objectives, methods and conclusion. The drives can be classified as comprehensive factor and single factor. The methods are composed of factors decomposition, correlation, gray correlation, regression, cointegration, vector correction modeling, Granger causality test, etc. The presentative points include economy drive, technology depression and staged contribution. Due to different research scales and objectives, most are focusing on national level, with minor on provincial level. This paper also gives the content for further research.

Key words: carbon emission, factors, analysis method, Granger causality test, regression analysis

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