Print Email Facebook Twitter Spatial homogeneity and heterogeneity of energy poverty Title Spatial homogeneity and heterogeneity of energy poverty: a neglected dimension Author Mashhoodi, B. (TU Delft Environmental Technology and Design; TU Delft OLD Urban Compositions) Stead, D. (TU Delft Spatial Planning and Strategy) van Timmeren, A. (TU Delft Environmental Technology and Design; Amsterdam Institute for Advanced Metropolitan Solutions (AMS)) Date 2018 Abstract Since the 1970s, a variety of studies has searched for the sociodemographic, housing and economic determinants of energy poverty. A central question, however, has not been answered by any of the previous studies: what are the national-level determinants, i.e. the determinants that homogeneously provoke a high level of energy poverty in all areas of a country? What are the neighbourhood-specific determinants, i.e. the characteristics that have a heterogeneous impact across the neighbourhoods of a country? This study seeks to answer these questions by analysing the level of energy poverty, the percentage of households’ disposable income spent on energy expenditure, in 2473 neighbourhoods of the Netherlands in 2014. By employing a semi-parametric geographically weighted regression analysis, the effects of two of the determinants of energy poverty are found to be spatially homogeneous: (i) percentage of low-income households and (ii) percentage of pensioners. The results indicate that the impacts of six of the determinants are spatially heterogeneous: (i) household size, (ii) percentage of unemployment, (iii) building age, (iv) percentage of privately rented dwellings, (v) number of summer days and (vi) number of frost days. Subsequently, the effects of spatially homogeneous and heterogeneous determinants are estimated and mapped; the results are discussed and some policy implications are proposed. Subject energy povertyhousehold energy consumptionHousehold energy expenditureNetherlandssemi-parametric geographically weighted regression To reference this document use: http://resolver.tudelft.nl/uuid:25e6a5f6-a261-4460-a6b1-f7555a97a27f DOI https://doi.org/10.1080/19475683.2018.1557253 ISSN 1947-5683 Source Annals of GIS, 25 (2019) (1), 19-31 Part of collection Institutional Repository Document type journal article Rights © 2018 B. Mashhoodi, D. Stead, A. van Timmeren Files PDF Spatial_homogeneity_and_h ... ension.pdf 2.2 MB Close viewer /islandora/object/uuid:25e6a5f6-a261-4460-a6b1-f7555a97a27f/datastream/OBJ/view