商业研究

• 商经理论 • 上一篇    下一篇

我国工业碳解锁动态演变进程及其影响因素研究

武戈,郑哲贝,周五七   

  1. 江南大学 商学院,江苏 无锡〓214122
  • 收稿日期:2016-09-18 出版日期:2017-03-03
  • 作者简介:武戈(1968-),男,山西文水人,江南大学商学院教授,经济学博士,研究方向:区域经济、环境可持续发展;郑哲贝(1991-),女,浙江舟山人,江南大学商学院研究生,研究方向:区域经济;周五七(1974-),男,安徽枞阳人,江南大学商学院副教授,管理学博士,研究方向:环境经济、技术经济及创新管理。
  • 基金资助:
    国家社会科学基金一般项目,项目编号:14BJY017;教育部人文社科规划基金项目“碳排放约束下长三角经济转型轨迹及其区域联动效果研究”,项目编号:12YJAZH160。

Research on Dynamic Evolution Process and Influence Factors of China′s Industrial Carbon Unlock

WU Ge,ZHENG Zhe-bei,ZHOU Wu-qi   

  1. School of Business,Jiangnan University,Wuxi 214122,China
  • Received:2016-09-18 Online:2017-03-03

摘要: 基于脱钩理论,本文对我国30个省工业碳解锁效应进行定量测算和分类,并运用STIRPAT面板数据模型对我国和三大区域碳解锁的驱动因素进行分析。结果表明:劳均产出、研发投入比重、能源利用效率和能源消费结构对全国及不同区域的碳排放强度的作用效果“大同小异”,其中能源利用效率对碳排放强度的抑制作用最大、劳均产出次之,能源消费结构对碳排放强度的正向影响最大;特别注意到Ⅲ类地区的研发强度与碳排放强度呈正相关,与预期相反,可能的解释是研发投入主要用在了促进工业增加值增长方面而不是节能减排。

关键词: 脱钩模型, 碳解锁, 碳排放强度

Abstract: Based on the decoupling theory, this paper quantitatively estimates and classifies the industrial carbon unlocking effect of 30 provinces in China, and analyzes the influence factors of carbon unlock in China and three regions by using STIRPAT panel data model. The results show per capita output, R&D investment proportion, energy efficiency and energy consumption structure have similar influence on industrial carbon emissions intensity from the national and regional perspective, wherein the energy efficiency has the maximum positive effect on inhibiting the carbon emissions intensity, per capita output comes second, the energy consumption structure has the maximum positive correlation; the R&D investment proportion of region III has a positive correlation with carbon emissions intensity, which is contrary to the expectation. One possible explanation is that the R&D investment is mainly used in the promotion of industrial growth,but not in energy-saving and emission-reduction.

Key words: decoupling model, carbon unlock, carbon emission intensity