基于STIRPAT模型的江西省建筑业碳排放影响因素分析
Analysis of Factors Influencing Carbon Emissions in Jiangxi Province's Construction Industry Based on the STIRPAT Model
傅沈强1
作者信息
- 1. 江西理工大学经济与管理学院,江西 赣州 341000
- 折叠
摘要
建筑业碳排放是我国能源消费及碳排放十分重要的一环,分析建筑业碳排放及其影响因素具有重要的现实意义.文中测算了近十年来江西省建筑业碳排放,并运用STIRPAT模型和灰色关联度法构建了建筑业碳排放影响因素分析模型;通过岭回归方法对模型系数进行拟合,并进行多重共线性检验.研究发现,江西省建筑业碳排放量大部分来自建材消费和住宅建筑运行;建筑材料消耗量是关联程度最高的因素;城镇化率对江西省建筑业全过程碳排放最具有正向影响;从发展绿色建筑、推进绿色运输和推广绿色建材三个方向提出减排建议.
Abstract
The carbon emissions in the construction industry play a crucial role in China's energy consumption and carbon emissions.Analyzing the carbon emissions in the construction industry and their influencing factors holds significant practical significance.This study calculated the carbon emissions in the construction industry in Jiangxi Province over the past decade and utilized the STIRPAT model and the grey correlation analysis method to construct a model for analyzing the influencing factors of carbon emissions in the construction industry.The model coeffi-cients were fitted using the ridge regression method,and multicollinearity tests were conducted.The research findings indicate that the majority of carbon emissions in the construction industry in Jiangxi Province stem from building material consumption and residential building opera-tions,with building material consumption being the most influential factor.The urbanization rate has the most significant positive impact on the overall carbon emissions in the construction industry in Jiangxi Province.Recommendations for emission reduction are proposed in three direc-tions:promoting the development of green buildings,advancing green transportation,and popularizing green building materials.
关键词
碳排放/STIRPAT模型/灰色关联度分析法/岭回归/影响因素Key words
Carbon emissions/STIRPAT model/Grey relational analysis method/Ridge regression/Influencing factors引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据