Based on the Logistic regression analysis method, the carbon emission indicators of a certain province are analyzed Analysis and research

China is currently in an important period of strategic opportunities, experiencing rapid economic development, gradual social transformation, and increasingly prominent environmental issues.Achieving sustainable development of the economy, society, and environment is currently the most important task. At the same time, as the world’s largest net exporter of carbon emissions, the huge trade carbon deficit has also had serious negative impacts on the country. In a diverse and complex context, China faces dual pressures of carbon emission reduction and economic development. This article analyzes and decomposes key indicators of carbon emissions in a certain province through logistic regression analysis, which helps to better balance the relationship between local production and consumption sides, total carbon emissions and emission intensity, emission reduction and economic growth, thereby achieving more comprehensive environmental, economic, and social benefits.

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Publication Details

Journal
E3S Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/e3sconf/202562501020
Primary Topic
Evaluation Methods in Various Fields
Type
article
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article

Based on the Logistic regression analysis method, the carbon emission indicators of a certain province are analyzed Analysis and research

Zejun Hu
E3S Web of Conferences
Evaluation Methods in Various Fields
article

Based on the Logistic regression analysis method, the carbon emission indicators of a certain province are analyzed Analysis and research

Zejun Hu
article en

Abstract

China is currently in an important period of strategic opportunities, experiencing rapid economic development, gradual social transformation, and increasingly prominent environmental issues.Achieving sustainable development of the economy, society, and environment is currently the most important task. At the same time, as the world’s largest net exporter of carbon emissions, the huge trade carbon deficit has also had serious negative impacts on the country. In a diverse and complex context, China faces dual pressures of carbon emission reduction and economic development. This article analyzes and decomposes key indicators of carbon emissions in a certain province through logistic regression analysis, which helps to better balance the relationship between local production and consumption sides, total carbon emissions and emission intensity, emission reduction and economic growth, thereby achieving more comprehensive environmental, economic, and social benefits.

E3S Web of ConferencesVol. 625
Shaanxi Yulin Energy Group (CN)
Openalex Percentile: Top 96%
Evaluation Methods in Various Fields
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