Decoupling of oil use from economic growth in Northeast China

2nd International Conference on Materials Science, Energy Technology and Environmental Engineering

材料科学;能源学;生态环境科学

Liu, Guangxin^1,2 ; Wu, Ming^1 ; Jia, Fengrui^1 ; Fu, Xin^1 ; Yue, Qiang^3

College of Petroleum Engineering, Liaoning Shihua University, Fushun, Liaoning

113001, China^1

College of Pipeline and Civil Engineering, China University of Petroleum, Qingdao, Shandong

266555, China^2

State Environmental Protection Key Laboratory of Eco-Industry, Northeastern University, Shenyang, Liaoning

110819, China^3

关键词: Calculation formula;    Decoupling index;    Economic growths;    Forecasting modeling;    GDP growth;    Northeast China;    Radial basis function neural networks;    RBF Neural Network;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/81/1/012055/pdf
DOI  :  10.1088/1755-1315/81/1/012055

来源: IOP

【 摘 要 】

Research for the decoupling of oil use from GDP growth has significance meaning to promotion and implementation of energy conservation in Northeast China. According to the calculation formula of decoupling index (Dr), the Dr of Northeast China are calculated respectively in 2000-2012, respectively. Radial Basis Function (RBF) neural network forecasting model is established, and the accuracy of the model is verified. Using the model to predict the Dr value 2013 - 2020. The results show that: the values of Dr are greater than 0 in Northeast China, where the Jilin average annual Dr is the maximum value about 0.97. RBF neural network forecasting results shows that Dr is greater than 0 in 2013-2020, and no-decoupling state doesn't appear.