What matters in residential energy consumption: evidence from France

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 socio-demographic variables is particularly weak. This means that the challenge to environmental policies is to encourage households to undertake renovations.

[1]  V. Ismet Ugursal,et al.  Modeling of end-use energy consumption in the residential sector: A review of modeling techniques , 2009 .

[2]  A. Levinson,et al.  Energy Use By Apartment Tenants When Landlords Pay For Utilities , 2004 .

[3]  E. Branch,et al.  Short run income elasticity of demand for residential electricity using consumer expenditure survey data , 1993 .

[4]  R. Blundell,et al.  The Microeconometric Approach to Modelling Energy Demand: Some Results for UK Households , 1991 .

[5]  Runa Nesbakken,et al.  Energy Consumption for Space Heating: A Discrete-Continuous Approach , 2001 .

[6]  Frauke G. Braun Determinants of households’ space heating type: A discrete choice analysis for German households , 2010 .

[7]  D. Charlier,et al.  Evaluation of the impact of environmental public policy measures on energy consumption and greenhouse gas emissions in the French residential sector , 2012 .

[8]  J. Heckman,et al.  Longitudinal Analysis of Labor Market Data: Alternative methods for evaluating the impact of interventions , 1985 .

[9]  C. Garbacz A National Micro-Data Based Model of Residential Electricity Demand: New Evidence on Seasonal Variation , 1984 .

[10]  Carbon mitigation costs for the commercial building sector: Discrete-continuous choice analysis of multifuel energy demand , 2008 .

[11]  Katrin Rehdanz,et al.  Determinants of residential space heating expenditures in Great Britain , 2010 .

[12]  M. Togeby,et al.  Demand for space heating in apartment blocks: measuring effects of policy measures aiming at reducing energy consumption , 2001 .

[13]  David R. Macias,et al.  Residential Electricity Demand in El Paso , 2016 .

[14]  Henk Visscher,et al.  The effect of occupancy and building characteristics on energy use for space and water heating in Dutch residential stock , 2009 .

[15]  Runa Nesbakken,et al.  Price sensitivity of residential energy consumption in Norway , 1999 .

[16]  Bodil Merethe Larsen,et al.  Household electricity end-use consumption: results from econometric and engineering models , 2004 .

[17]  Kjell Vaage,et al.  HEATING TECHNOLOGY AND ENERGY USE, A DISCRETE/CONTINUOUS CHOICE APPROACH TO NORWEGIAN HOUSEHOLD ENERGY DEMAND , 2000 .

[18]  M. Parti,et al.  The Total and Appliance-Specific Conditional Demand for Electricity in the Household Sector , 1980 .

[19]  K. Blok,et al.  Household energy requirement and value patterns , 2007 .

[20]  Katrin Rehdanz,et al.  Determinants of residential space heating expenditures in Germany , 2007 .

[21]  Xavier Labandeira,et al.  A Residential Energy Demand System for Spain , 2005 .

[22]  Kevin M. Murphy,et al.  Estimation and Inference in Two-Step Econometric Models , 1985 .