2011
DOI: 10.1016/j.enpol.2011.04.057
|View full text |Cite
|
Sign up to set email alerts
|

Predicting fuel poverty at a small-area level in England

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
39
0
2

Year Published

2013
2013
2024
2024

Publication Types

Select...
6
3

Relationship

0
9

Authors

Journals

citations
Cited by 81 publications
(42 citation statements)
references
References 4 publications
1
39
0
2
Order By: Relevance
“…The required domestic fuel costs are estimated based on income data and modelled physical data relating to dwelling characteristics and energy efficiency. The advantage of focusing on required, rather than actual, domestic fuel spending is that it takes under-consumption into account (Dubois, 2012;Fahmy et al, 2011). However, this measure is open to a number of criticisms (for a detailed description of the indicator's weaknesses, see Hills, 2011).…”
Section: Fuel Poverty ¼mentioning
confidence: 97%
“…The required domestic fuel costs are estimated based on income data and modelled physical data relating to dwelling characteristics and energy efficiency. The advantage of focusing on required, rather than actual, domestic fuel spending is that it takes under-consumption into account (Dubois, 2012;Fahmy et al, 2011). However, this measure is open to a number of criticisms (for a detailed description of the indicator's weaknesses, see Hills, 2011).…”
Section: Fuel Poverty ¼mentioning
confidence: 97%
“…The variable of the houses location was considered in order to differentiate two subsamples, the rural or the urban area, taking into account that the extent of fuel poverty in areas with high proportions of small households (urban) can be overestimated and it can be 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 15 underestimates in areas (rural) with high proportions of large households (Fahmy et al, 2011). …”
Section: Variablesmentioning
confidence: 99%
“…T o overcome this problem, the calculation framework is modified by requiring "satisfactory" heating. In other words, the assessment of whether a household suffers from fuel poverty is not based on actual costs incurred for purchasing energy services, but on estimates about the energy costs required to ensure minimum thermal comfort levels [10,14]. As a result, additional data for specific characteristics of the households in question and modeling effort for calculating the minimum energy demand per household are required.…”
Section: Objective Measures Of Fuel Povertymentioning
confidence: 99%
“…Therefore, the households forced to reduce drastically their energy consumption because they cannot afford the associated costs are probably not recorded as fuel poor when implementing this approach [27,10,14,43]. T o overcome this problem, the calculation framework is modified by requiring "satisfactory" heating.…”
Section: Objective Measures Of Fuel Povertymentioning
confidence: 99%