A Multidimensional Approach to Measuring Fuel Poverty

Autor: Dorothée Charlier, Bérangère Legendre
Přispěvatelé: Institut de Recherche en Gestion et en Economie (IREGE), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Laboratoire, IREGE
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Economics and Econometrics
Index (economics)
020209 energy
02 engineering and technology
[SHS.ENVIR] Humanities and Social Sciences/Environmental studies
Thermal discomfort
0502 economics and business
0202 electrical engineering
electronic engineering
information engineering

Economics
Econometrics
050207 economics
Robustness (economics)
[SHS.ECO] Humanities and Social Sciences/Economics and Finance
JEL: C - Mathematical and Quantitative Methods/C.C4 - Econometric and Statistical Methods: Special Topics/C.C4.C43 - Index Numbers and Aggregation
Residential energy
Poverty
JEL: Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q4 - Energy/Q.Q4.Q41 - Demand and Supply • Prices
05 social sciences
Aggregate (data warehouse)
1. No poverty
Multidimensional approach
Composite indicator
[SHS.ECO]Humanities and Social Sciences/Economics and Finance
Heating restriction
Identification (information)
JEL: D - Microeconomics/D.D1 - Household Behavior and Family Economics/D.D1.D12 - Consumer Economics: Empirical Analysis
General Energy
JEL: C - Mathematical and Quantitative Methods/C.C3 - Multiple or Simultaneous Equation Models • Multiple Variables/C.C3.C31 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressions • Social Interaction Models
Fuel poverty
[SHS.ENVIR]Humanities and Social Sciences/Environmental studies
JEL: R - Urban
Rural
Regional
Real Estate
and Transportation Economics/R.R2 - Household Analysis/R.R2.R20 - General
Zdroj: Energy Journal
Energy Journal, International Association for Energy Economics, In press, 40 (2), pp.27-54
HAL
ISSN: 0195-6574
Popis: International audience; In this study we suggest that a more careful and systematic understanding of fuel poverty can be developed through a multidimensional approach to the relationship between monetary poverty, residential energy efficiency, and heating restriction. Our objective is to provide new ways to better identify those who suffer the most from fuel poverty to optimize policy. Thus, the purpose of this paper is to measure poverty in three steps following Sen (1979): (i) combining poverty characteristics into an aggregate measure involving a fuel poverty index (FPI), (ii) identification and comparison of poor people according to existing and new definitions and (iii) testing the robustness of the fuel poverty composite indicator. Our results show that the usual measures reveal a gap that does not consider all the dimensions of fuel poverty, excluding those who are at or above a certain threshold, but who are nevertheless vulnerable. The multidimensional approach enables us to consider all the components of fuel poverty.
Databáze: OpenAIRE