江西财经大学学报 ›› 2018, Vol. 0 ›› Issue (03): 220-.

• • 上一篇    

我国碳排放因素时变分解分析——基于生产理论分解分析模型的研究

张纳军,程郁泰,肖红叶   

  1. (天津财经大学 统计学系,天津 300222)
  • 发布日期:2021-01-21
  • 作者简介:张纳军,天津财经大学博士研究生,主要从事经济统计研究;程郁泰,天津财经大学讲师,博士,主要从事经济统计研究,通讯作者联系方式chengyutai219@163.com;肖红叶,天津财经大学教授,博士生导师,主要从事经济统计研究。

A Time-Varying Decomposition Analysis of Carbon Emission Factors in China: Based on Production-Theoretical Decomposition Analysis Model

ZHANG Na-jun, CHENG Yu-tai, XIAO Hong-ye   

  1. (Tianjin University of Finance and Economics, Tianjin 300222, China)
  • Published:2021-01-21

摘要: 在深入解读碳排放生产理论分解分析模型的理论技术框架基础上,基于我国2005—2015年间30个省份相关数据开展了碳排放因素分解研究。实证分析结果表明,潜在能源消费强度、碳排放技术效率及产出技术进步是实现碳减排的主导因素;潜在碳排放强度、潜在产出水平及碳减排技术则对碳排放水平加剧产生显著影响。长期看,减排技术效率提高与生产技术进步是实现可持续碳减排的关键因素。

关键词: 碳排放,距离函数,数据包络分析,生产理论分解分析模型

Abstract: On the basis of a deeper interpretation of the theoretical and technical framework of carbon emission PDA model, this paper carries out a study of the carbon emission factors decomposition with the related data of 30 provinces in China during the period from 2005 to 2015. The empirical results show that the leading factors to realize carbon emission reduction are the potential energy consumption intensity, the efficiency of carbon emission technology and the output technical progress, while the potential carbon emission intensity, the potential output level and the carbon emission reduction technology would produce significant impact on the intensifying level of carbon emission. In the long run, the improvement of carbon emission reduction technology efficiency and the advancement of production technology are the key factors for achieving sustainable carbon emission reduction.

Key words: carbon emissions; distance function; data envelopment analysis; PDA model