Why Fuel Poverty?
AbstractThe National Health Service (NHS) in UK prescribes 210C in the living room and 180C in other rooms for all households but for more than 7.7 percent households cost of heating is above 10 percent of their income and they suffered from coldness related diseases and are in fuel poverty. Raising growth rates of income of vulnerable households, stabilising prices of fuel products and improving fuel efficiency of houses are measure to eliminate fuel poverty and to reduce the excess deaths caused by this. This paper shows how the basic needs of fuel demand can be modelled using the Stone-Geary preferences and how the growth of the economy is related to those preferences and technology of firms over time is analysed with Bellman-Sargent dynamic programming models. Demand and supply analysis of this kind should complement DTI’s methodology on fuel poverty for policy analysis.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Institute for Economic Forecasting in its journal Romanian Journal for Economic Forecasting.
Volume (Year): (2010)
Issue (Month): 3 (September)
Contact details of provider:
Postal: Casa Academiei, Calea 13, Septembrie nr.13, sector 5, Bucureşti 761172
Phone: 004 021 3188148
Fax: 004 021 3188148
Web page: http://www.ipe.ro/
More information through EDIRC
Fuel poverty; Stone Geary Preference; dynamic programming;
Find related papers by JEL classification:
- D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- D18 - Microeconomics - - Household Behavior - - - Consumer Protection
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Baker, Paul & Blundell, Richard & Micklewright, John, 1989. "Modelling Household Energy Expenditures Using Micro-data," Economic Journal, Royal Economic Society, vol. 99(397), pages 720-38, September.
- Keshab Bhattarai, 2007. "Input–Output and General Equilibrium Models for Hull and Humber Region in England," Atlantic Economic Journal, International Atlantic Economic Society, vol. 35(4), pages 473-490, December.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Corina Saman).
If references are entirely missing, you can add them using this form.