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.
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Bibliographic InfoArticle provided by Institute for Economic Forecasting in its journal Romanian Journal for Economic Forecasting.
Volume (Year): (2010)
Issue (Month): 3 (September)
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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.:
- 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.
- 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.
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