Forecasting Chinese provincial carbon emissions using a novel grey prediction model considering spatial correlation

作者：

Highlights：

• A two-stage background value calculation method is given.

• The novel grey model considering spatial correlation (SGM(1,1,m)) is proposed.

• The validity of the SGM(1,1,m) model is verified using carbon emission data.

• The SGM(1,1,m) model is applied to forecast China's provincial carbon emissions.

摘要

•A two-stage background value calculation method is given.•The novel grey model considering spatial correlation (SGM(1,1,m)) is proposed.•The validity of the SGM(1,1,m) model is verified using carbon emission data.••The SGM(1,1,m) model is applied to forecast China's provincial carbon emissions.

论文关键词：Spatial correlation,Spatial weight matrix,SGM(1,1,m),Carbon emission prediction

论文评审过程：Received 8 June 2022, Revised 15 July 2022, Accepted 20 July 2022, Available online 26 July 2022, Version of Record 31 July 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118261