The driving factors of corporate carbon emissions: An application of the LASSO model with survey data
Cai, Huifen (Helen) 
ORCID: https://orcid.org/0000-0002-5893-8291 and Xai, Mengyao
(2023)
The driving factors of corporate carbon emissions: An application of the LASSO model with survey data.
Environmental Science and Pollution Research, 30
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pp. 56484-56512.
ISSN 0944-1344
[Article]
(doi:10.1007/s11356-023-26081-7)
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Abstract
Corporate carbon performance is a key driver of achieving corporate sustainability. The identification of factors that influence corporate carbon emissions is fundamental to promoting carbon performance. Based on the carbon disclosure project (CDP) database, we integrate the least absolute shrinkage and selection operator (LASSO) regression model and the fixed-effect model to identify the determinants of carbon emissions. Furthermore, we rank determining factors according to their importance. We find that Capx enters the models under all carbon contexts. For Scope 1 and Scope 2, financial-level factors play a greater role. For Scope 3, corporate internal incentive policies and emission reduction behaviors are important. Different from absolute carbon emissions, for relative carbon emissions, the financial-level factors’ debt-paying ability is a vital reference indicator for the impact of corporate carbon emissions.
| Item Type: | Article |
|---|---|
| Sustainable Development Goals: | |
| Theme: | |
| Keywords (uncontrolled): | Corporate carbon emission; Determinants; LASSO regression model; Fixed effect model |
| Research Areas: | A. > Business School > International Management and Innovation |
| Item ID: | 37536 |
| Notes on copyright: | Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
| Useful Links: | |
| Depositing User: | Helen Cai |
| Date Deposited: | 27 Feb 2023 15:59 |
| Last Modified: | 12 May 2023 12:18 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/37536 |
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