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Academic Journal of Computing & Information Science, 2022, 5(10); doi: 10.25236/AJCIS.2022.051011.

Carbon Emission Forecast of Construction Industry Based on Grey Theory


Zhiyuan Guo, Jie Yin

Corresponding Author:
Zhiyuan Guo

Institute of Science and Technology, Agricultural University of Hebei, Cangzhou, Hebei, 061000, China


In order to reduce emissions of construction industry in China at an early date, this paper provides a fitting of different influencing factors based on the grey correlation method from the construction industry perspective. The correlation degree of carbon emission and related factors in construction industry was ranked as Rate of technical equipment > Practitioners> GDP > Population size > Gross output value of construction industry. And the future of carbon emissions forecast through the grey forecast, found that the country's construction industry will emit more than 80 million tons of carbon in 2030, facing very great pressure to reduce emissions. Therefore, the construction industry should realize the innovation potential of technology and industry model, accelerate the energy transition and achieve the inter-country emission reduction target at an early date.


Carbon emissions; Construction industry; Grey correlation; Grey forecast

Cite This Paper

Zhiyuan Guo, Jie Yin. Carbon Emission Forecast of Construction Industry Based on Grey Theory. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 10: 66-69. https://doi.org/10.25236/AJCIS.2022.051011.


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