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Untangling the complexity of the direct and indirect determinants of the residential energy consumption in France: Quantitative analysis using a structural equation modeling approach

机译:解析法国住宅能耗的直接和间接决定因素的复杂性:使用结构方程建模方法的定量分析

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About a quarter of French energy demand is for residential use. This study mobilises a multidisciplinary approach and a non-linear modeling strategy to examine the total, direct and indirect effects of households and housing units in designing French energy consumption. Based on micro-level data from the new French 2012 PHEBUS survey, this research implements a structural equation model to tease out the effects of both dwelling characteristics, household attributes, climate and behaviours on the domestic energy use. Findings confirm that the direct effect of household-related attributes on domestic energy demand is notably lower than the corresponding effect from the dwelling attributes. Nevertheless, considering for the indirect effect of household factors on energy use, across housing choices, the total impact of household-related attributes on the French domestic energy consumption is just slightly lower than that of dwelling characteristics. Therefore, to highlight the spectrum of residential energy use, this research calls to incorporate both direct and indirect effects of household attributes and choices. This study suggests several key insights on how to incorporate housing policy into residential energy policy and reduce energy-related greenhouse gas emissions.
机译:法国约有四分之一的能源需求用于住宅。这项研究动员了多学科方法和非线性建模策略,以研究设计法国能源消耗中家庭和住房单元的总体,直接和间接影响。基于新的法国2012年PHEBUS调查的微观数据,本研究实施了结构方程模型,以弄清居住特征,家庭属性,气候和行为对家庭能源使用的影响。研究结果证实,与家庭有关的属性对家庭能源需求的直接影响明显低于由住宅属性引起的相应影响。然而,考虑到家庭因素对能源使用的间接影响,在各种住房选择中,与家庭有关的属性对法国家庭能源消耗的总影响仅略低于住宅特征。因此,为了强调住宅能源使用的范围,这项研究呼吁将家庭属性和选择的直接和间接影响都纳入考虑范围。这项研究提出了一些关于如何将住房政策纳入住宅能源政策并减少与能源相关的温室气体排放的关键见解。

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