The Contributing Factors of Individual Carbon Footprint based on Linear Regression

Authors

  • Haoxi Geng

DOI:

https://doi.org/10.61173/37c2f426

Keywords:

Carbon emission, individual’s carbon footprint, linear regression, step-wise linear regression

Abstract

Public concerns have been raised by recent climate changes. The temperature rise has and will result in more extreme weather and the melting of the Atlantic’s ice, which must be paid attention to. Different organizations have stressed the importance of achieving carbon neutrality after conducting investigations on the environment. The purpose of this paper is to address the issue of carbon emissions and seek solutions to meet the government’s objectives. This article selects several daily activities and correlates them with carbon emissions. Using the linear regression model as well as the stepwise regression model, the collected data can demonstrate how various daily activities affect an individual’s carbon emissions. The result shows that almost all daily activities that use fuel will eventually have an impact on an individual’s carbon footprint, as found in this paper. Moreover, this paper suggests several possible ways for future development to be achieved in order to achieve the realization of carbon neutrality

References

[1] Jie Jin, Fan Wang. Impact of government support on firm carbon emission efficiency: The transmission channel of green innovation, Finance Research Letters, 2024, 68.

[2] Andewi Rokhmawati, Vita Sarasi, Lailan Tawila Berampu. Scenario analysis of the Indonesia carbon tax impact on carbon emissions using system dynamics modeling and STIRPAT model, Working paper, 2024.

[3] Boqiang Lin, Xiying Liu. Carbon Emissions in China’s Urbanization Stage_Influencing Factors and Emission Reduction Strategies. International Review of Economics & Finance, 2022.

[4] Chao Gao, Jinliang Xu, Miao Jia, Zhenhua Sun. Correlation between carbon emissions, fuel consumption of vehicles and speed limit on expressway. Journal of Traffic and Transportation Engineering (English Edition), 2024.

[5] Zhengning Pu, Jingyu Liu, Mingyan Yang. The effect of digital technology on residential and non-residential carbon emission. International Review of Economics & Finance, 2024, 95.

[6] Goldstein B, Gounaridis D, Newell J P. The carbon footprint of household energy use in the united states. Proceedings of the National Academy of Sciences, 2020, 117(32).

[7] Jin Yang, et al. Predicting the significance of consumer environmental values, beliefs, and norms for sustainable fashion behaviors: The case of second-hand clothing. Asia Pacific Management Review, 2024, 29(2): 179-194.

[8] Baroni L, Cenci L, Tettamanti M, Berati, M. Evaluating the environmental impact of various dietary patterns combined with different food production systems. European Journal of Clinical Nutrition, 2007, 61(2): 279-286.

[9] Bofan Wang, Zhao Jia Ting, Ming Zhao. Sustainable aviation fuels: Key opportunities and challenges in lowering carbon emissions for aviation industry. Carbon Capture Science & Technology, 2024, 13.

[10] Chao Jin, et al. Study on the stability and properties of carbon neutral methanol in blends with diesel fuel. Fuel, 2024, 374.

Downloads

Published

2024-10-29