摘要
将柯布-道格拉斯(C-D)生产函数嵌入Kaya恒等式,采用对数平均迪氏分解法(LMDI)将碳排放影响因素分解为能源结构、单位国内生产总值(GDP)能源强度、资本投入、劳动力投入和技术因素,针对2008~2017年我国30个省级行政区的8种主要能源消费产生的碳排放,研究分析各因素在时间跨度和空间差异上对各地碳减排产生的影响。结果显示:能源结构效应对碳减排的作用较有限;单位GDP能源强度效应对碳减排具有关键作用,是碳减排最为稳定的因素;资本投入是碳排放增加的重要影响因素;劳动力投入效应对碳减排逐渐产生积极影响;索洛残值效应所代表的技术因素对碳减排具有不同作用。
The Cobb-Douglas(C-D)production function is embedded in the Kaya identity,and the logarithmic mean Deehlier decomposition(LMDI)is used to decompose the influencing factors of carbon emissions into energy structure,energy intensity per unit of gross domestic product(GDP),capital input,labor input and technical factors,and the impact of each factor on carbon emission reduction in time span and spatial differences in 30 provincial-level administrative regions of China is studied and analyzed for the carbon emissions generated by 8 major energy consumption in 30 provincial-level administrative regions of China in 2008~2017.The results show that the effect of energy structure on carbon emission reduction is limited.The energy intensity effect per unit of GDP plays a key role in carbon emission reduction,and is the most stable factor for carbon emission reduction.Capital investment is an important factor influencing the increase of carbon emissions.The effect of labor input has gradually had a positive impact on carbon emission reduction.The technical factors represented by the Solow residual value effect have different effects on carbon emission reduction.
出处
《节能》
2024年第2期93-97,共5页
Energy Conservation
关键词
生产要素
碳减排
LMDI
影响因素
面板数据
production factors
carbon emission reduction
LMDI
influencing factor
panel data
