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Analysis of Carbon Dioxide Emissions of Buildings in Different Regions of China Based on STIRPAT Model

机译:基于STIRPAT模型的中国不同地区建筑物二氧化碳排放分析。

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This article focuses on CO_2 emissions of buildings in China, the drivers of carbon dioxide emissions of buildings performing stage under the different climatic conditions have been studied by using the STIRPAT (stochastic impacts by regression on population, affluence, and technology) model. Five factors were selected, including per capita floor space of resi-dential buildings, floor space of buildings, household consumption level, output value of ter-tiary industry and unit building area of carbon dioxide emissions. According to the climatic conditions, the buildings of four climate regions are taken into account, which are Severe Cold (SC), Cold (C), Hot Summer Cold Winter (HSCW) and Hot Summer Warm Winter (HSWW), respectively. The factors are quantified through ridge regression. Empirical results indicate that all the factors can cause an increase in CO_2 emissions among the four climate regions, although they have different degree influence on CO_2 emissions from buildings in different climate regions.
机译:本文着眼于中国建筑物的CO_2排放,使用STIRPAT(回归对人口,富裕程度和技术的随机影响)模型研究了在不同气候条件下建筑物在不同阶段的二氧化碳排放的驱动因素。选择了五个因素,分别是住宅建筑物的人均建筑面积,建筑物的建筑面积,家庭消费水平,第三产业的产值和二氧化碳排放的单位建筑面积。根据气候条件,考虑了四个气候区域的建筑物,分别是严重寒冷(SC),寒冷(C),夏季酷暑(HSCW)和夏季酷暑(HSWW)。这些因素通过岭回归来量化。实证结果表明,尽管所有因素都对四个气候区的CO_2排放增加,但它们对不同气候区建筑物的CO_2排放影响程度不同。

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