Relationship Between Carbon Footprint and Operational Cost in European Companies

This article uses econometric and sampling techniques to find the relationship between a companys carbon emission level (E) and its operational cost (OC). We conducted literature reviews in previous studies and found a gap to conduct our own research: to focus on the European regions and its companies to use precise data to analyze the relationship between the two factors. The OC of a company is the dependent variable that is affected by the components: E, output level (y) and input prices (w). We use these variables to construct a regression model and use this modeling technique to conclude the relationship between E and OC from the plotted graphs and coefficients calculated. The results show that E correlates negatively with OC. Also, y and w have a positive relationship with OC, with w as the most significant factor affecting OC. We carried out the empirical analysis using data of the variables in seven sampling European companies with a timespan of ten years (2014-2023).

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Publication Details

Journal
Advances in Economics Management and Political Sciences
Published
2025-09-10
DOI
https://doi.org/10.54254/2754-1169/2024.26882
Primary Topic
Energy, Environment, Economic Growth
Type
article
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article

Relationship Between Carbon Footprint and Operational Cost in European Companies

Xu Huang, Xiaofeng Wei
2 links
Advances in Economics Management and Political Sciences
Energy, Environment, Economic Growth
article

Relationship Between Carbon Footprint and Operational Cost in European Companies

Xu Huang, Xiaofeng Wei
article en

Abstract

This article uses econometric and sampling techniques to find the relationship between a companys carbon emission level (E) and its operational cost (OC). We conducted literature reviews in previous studies and found a gap to conduct our own research: to focus on the European regions and its companies to use precise data to analyze the relationship between the two factors. The OC of a company is the dependent variable that is affected by the components: E, output level (y) and input prices (w). We use these variables to construct a regression model and use this modeling technique to conclude the relationship between E and OC from the plotted graphs and coefficients calculated. The results show that E correlates negatively with OC. Also, y and w have a positive relationship with OC, with w as the most significant factor affecting OC. We carried out the empirical analysis using data of the variables in seven sampling European companies with a timespan of ten years (2014-2023).

Advances in Economics Management and Political SciencesVol. 198(1)
Openalex Percentile: Top 67%
Energy, Environment, Economic Growth
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Relationship Between Carbon Footprint and Operational Cost in European Companies — Xu Huang, Xiaofeng Wei · Advances in Economics Management and Political Sciences (2025) | TGRS Research Map | TGRS