Based on the Logistic regression analysis method, the carbon emission indicators of a certain province are analyzed Analysis and research
Year: 2025
Type: conference-paper
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.
Source: E3S Web of Conferences
Author: Zhengxi Hu
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
SDG: Climate action
Open Access status: diamond
OpenAlex ID: W4409553949