Mashhoodi, Bardia ORCID: https://orcid.org/0000-0002-7037-3932, Stead, Dominic ORCID: https://orcid.org/0000-0002-8198-785X and van Timmeren, Arjan (2019) Spatial homogeneity and heterogeneity of energy poverty: a neglected dimension. Annals of GIS, 25 (1). pp. 19-31. ISSN 1947-5683 (Print), 1947-5691 (Online) (doi:10.1080/19475683.2018.1557253)

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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.

Item Type:	Article
Uncontrolled Keywords:	household energy expenditure, energy poverty, household energy consumption, semiparametric geographically weighted regression, Netherlands
Subjects:	G Geography. Anthropology. Recreation > GE Environmental Sciences H Social Sciences > H Social Sciences (General) Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified:	18 Mar 2025 16:52
URI:	http://gala.gre.ac.uk/id/eprint/50050

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