Abstract
Accurately predicting carbon emissions and mastering the law of carbon emissions are the premise for effective energy saving and emission reduction and realizing the goal of “carbon peaking and carbon neutrality”. This paper takes foreign direct investment and environmental regulation as the influencing factors, and uses the nonlinear fractional-order grey multivariable model to predict carbon emissions interval. The results showed that foreign direct investment intensifies carbon emissions, while environmental regulation contributes to carbon emissions, with total carbon emissions still on the rise in the next few years. Paying great importance to the quality of “bring in” and making good use of environmental regulation is an important way to achieve sustainable development.
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Jiang, H., Zhang, X., Kong, P. (2022). China’s CO2 Emissions Interval Forecasting Based on an Improved Nonlinear Fractional-Order Grey Multivariable Model. In: Fui-Hoon Nah, F., Siau, K. (eds) HCI in Business, Government and Organizations. HCII 2022. Lecture Notes in Computer Science, vol 13327. Springer, Cham. https://doi.org/10.1007/978-3-031-05544-7_14
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DOI: https://doi.org/10.1007/978-3-031-05544-7_14
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