The impact of income gap on the CO2 emission and grey trend prediction

Abstract The CO2 emissions of urban and rural are different. The research on the life and production of urban and rural residents can help to adjust the carbon emission policy more accurately. The income gap between urban and rural residents is an important embodiment of the differences in the life and production of urban and rural. Taking the income gap between urban and rural residents as an input variable, the non-equidistant grey model with conformable fractional accumulation (CFNGM(1,1)) is used to predict the CO2 emissions of six provinces in China. The CFNGM(1,1) model is a novel grey prediction model, which satisfies that the input sequence is non-equidistant sequence. The predicted results show that there is a large income gap in East China, and the CO2 emissions are increasing. The income gap in Northwest China is relatively smaller, and the CO2 emissions are gradually reduced. It is concluded that there is a positive correlation between the income gap and the CO2 emission. Based on the cases analysis, it is verified that the life and production of urban and rural have different effects on CO2 emission. Finally, based on the research results, the suggestions for sustainable development of environment and economy are put forward.