Study on the Effect of Energy Consumption Structure on Carbon Intensity of Hebei Province from the Perspective of Sensitivity

4th International Conference on Advances in Energy Resources and Environment Engineering

能源学;生态环境科学

Wang, Shaohua^1 ; Zhang, Wei^2 ; Liu, Lin^1

School of Economics and Management, Yanshan University, Qinhuangdao, Hebei

066004, China^1

School of Economics, Northeastern University at Qinhuangdao, Qinhuangdao, Hebei

066004, China^2

关键词: Carbon emission reductions;    Cobb-Douglas production function;    Energy consumption structure;    Inhibiting factors;    Natural gas consumption;    Percentage points;    Production function;    Regression equation;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/237/4/042022/pdf
DOI  :  10.1088/1755-1315/237/4/042022

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Based on the Kaya identity, the regression equation, involving the carbon intensity, energy consumption structure and energy intensity, is built, then the direct and indirect effect of the energy consumption structure on the carbon intensity is revealed, with the path analysis. Result shows that the shares of coal consumption and primary power are the major driving factors on the reduction of carbon intensity, while the oil consumption ratio, natural gas consumption ratio and energy intensity are the main inhibiting factors of carbon intensity decline. Furthermore, with the carbon intensity sensitivity based on Cobb-Douglas production function and logarithm production function, the carbon emission reduction potential of energy consumption structure optimization is assessed. Result shows that a reduction of one percentage point in the share of coal consumption is substituted completely by the share of oil, gas, primary power consumption, respectively, and the carbon intensity would be reduced by 0.3981 percentage points, 0.4755 percentage points, 0.7476 percentage points, respectively. The reduction of the share of coal consumption will only reduce the carbon intensity by 3.61 percentage points.