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基于STIRPAT模型的吉林省建筑业能耗影响因素分析与预测

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为分析建筑业能源消耗影响因素,采用STIRPAT模型,基于 2007-2021 年吉林省建筑业相关数据,采用岭回归法进行分析.结果表明:城市化率、建筑业总产值、产业结构和能源强度均对吉林省建筑业能耗有显著影响,且每变化1%,能源消耗量的变化为 1.785%、0.721%、-0.879%和0.965%.经对吉林省建筑业能耗量预测发现:当城市化率低速增长、能源强度高速下降及第二产业占比低速下降时,吉林省建筑业能耗量增长速度最慢,并据此提出相应的节能对策.
Analysis of Influencing Factors and Prediction of Energy Consumption of Construction Industry in Jilin Province Based on STIRPAT Model
In order to analyze the influencing factors of energy consumption in the construction industry,STIRPAT model was used,based on the relevant data of the construction industry in Jilin Province from 2007 to 2021,the ridge regression method was used for analysis.The results show that the urbanization rate,the total output value of the construction industry,the industrial structure and the energy intensity have a significant impact on the energy consumption of the construction industry,and the energy consumption will change by 1.785%,0.721%,-0.879%and 0.965%for every 1%change of each variable.According to the forecast of energy consumption of construction industry in Jilin Province,it was found that when the urbanization rate increases at a low speed,the energy intensity decreased at a high speed and the proportion of the second industry decreases at a low speed,the energy consumption of construction industry in Jilin province increased at a low speed,and the corresponding energy-saving countermeasures were put forward.

construction industryenergy consumptionSTIRPAT modelscenario prediction

严雯莲、季忠洋

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吉林建筑大学 经济与管理学院,吉林 长春 130118

建筑业 能源消耗 STIRPAT模型 情景预测

吉林省教育厅科学研究项目

JJKH20220301SK

2024

建材技术与应用
山西综合职业技术学院

建材技术与应用

影响因子:0.74
ISSN:1009-9441
年,卷(期):2024.(1)
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