Influencing factors and the path to realization of carbon balance in China: analysis using statistical models

Wenjun Wang; Chunyan Tian

doi:10.1117/12.2627687

22 April 2022 Influencing factors and the path to realization of carbon balance in China: analysis using statistical models

Wenjun Wang, Chunyan Tian

Author Affiliations +

Proceedings Volume 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021); 121630A (2022) https://doi.org/10.1117/12.2627687
Event: International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 2021, Nanjing, China

Abstract

Using a STIRPAT model combined with statistical data of 1988 to 2013, this study empirically analyzes the effect of diverse factors on China's carbon balance. These include economic level, urbanization level, population size, industrial structure, energy intensity, and energy consumption structure. We find that economic growth, population increase, and urbanization advance increase net carbon emissions, whereas industrial restricting, energy efficiency improvement, and energy consumption restructuring reduce carbon emissions. Specifically, economic growth and energy consumption restructuring constitute primary causes of the increase and decrease in net carbon emissions, respectively.

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Wenjun Wang and Chunyan Tian "Influencing factors and the path to realization of carbon balance in China: analysis using statistical models", Proc. SPIE 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 121630A (22 April 2022); https://doi.org/10.1117/12.2627687

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