摘要
文章使用方向性距离函数的非参数框架把我国各省区碳排放变化的驱动因素分解为规模效应、技术效率效应、技术进步效应、资本碳比效应、劳动碳比效应、能源碳比效应以及结构效应等7个部分,扩充了碳排放的主要影响因素,扩展了对碳排放驱动力量的深入理解。研究结果表明:规模效应的持续扩大仍然是碳排放增长的首要原因;资本碳比效应是省区碳减排的主要驱动力量;劳动碳比效应是造成碳排放增长的重要因素,能源碳比效应自2001年以来表现出减排功能;技术进步减排效应微弱,技术效率和结构效应影响较小。
Using the nonparametric framework of directional distance function, this paper decomposes the driven factors of the changes of provincial CO2 emission in China into seven components for the time period 1990-2009, including GDP scale effect, technical efficiency effect, technical change effect, emission indices associated with capital, labor and energy, and GDP composition effect. Some conclusions are as follows, the GDP scale effect accounts for the majority of emission increment; the capital-carbon ratio effect is a dominant contributor to provincial emission abatement; the labor-carbon ratio effect is also the main driver of emission increment; the energy-carbon ratio effect has began to decrease the emission since 2001; the effect of technical change, technical efficiency and GDP composition is negligible.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
北大核心
2012年第3期381-386,共6页
Journal of Hefei University of Technology：Natural Science
基金
国家自然科学基金资助项目(71103057)
安徽省自然科学基金资助项目(11040606Q29)
关键词
碳排放
驱动因素
方向性距离函数
分解
CO2 emissiom driven factor
directional distance functiom decomposition
