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Between 50 and 125 million Europeans are unable to afford the energy needed for adequate heating, cooking, light, and use of appliances in the home. Tackling fuel poverty has thus become a public policy challenge. In this paper, we assess the effectiveness of social energy subsidies and social housing to reduce fuel poverty. The literature reports that rising fuel prices, low incomes, and energy-inefficient housing are the main causes of fuel poverty. Existing public policies focus mainly on price-and income-based measures to reduce fuel poverty, such as social energy subsidies. This type of policy is palliative as it does not permit to sustainably eradicate fuel poverty. Other policies aim to encourage renovation in order to improve energy efficiency. Those policies are curative as they sustainably reduce one cause of fuel poverty : energy inefficiency. In this paper, we focus on another public policy to tackle fuel poverty : social housing. We believe that this policy could be preventive, as the literature reports the better energy efficiency of social housing. We use matching methods and find that living in social housing decreases fuel poverty by 5.4% to 9.1%. On the contrary, social energy subsidies have no effect on fuel poverty.

Given objectives set by countries to realize energy-savings and decrease greenhouse gas emissions, an understanding of the main factors driving household energy consumption is crucial for the formulation of efficient policy measures. Our objective is to identify the main determinants of households energy consumption. The model incorporates a discrete/continuous decision framework, which allows for interactions between decisions on the heating system (the discrete choice) and decisions on the consumption of energy (the continuous choice). We have three main contributions.First, we explore the role of households' socio-economic characteristics vs. technical properties of dwelling in explaining energy consumption. Second, we identify some of the main sources of energy conservation in the housing sector. Third, we estimate price-elasticity and income-elasticity in the French housing sector at a micro-level.Results show that the intensity of energy used per m² is almost completely determined by the technical properties of the dwelling and by the climate. The role of sociodemographic variables is particularly weak. This means that the challenge to environmental policies is to encourage households to undertake renovations.