US residential energy demand and energy efficiency: A stochastic demand frontier approach
Creators
- 1. Department of Economics, University of Lugano (Switzerland)
- 2. Centre for Energy Policy and Economics (CEPE), ETH Zurich (Switzerland)
- 3. Surrey Energy Economics Centre (SEEC) and Research Group on Lifestyles Values and Environment (RESOLVE), School of Economics, University of Surrey (United Kingdom)
Description
This paper estimates a US frontier residential aggregate energy demand function using panel data for 48 'states' over the period 1995 to 2007 using stochastic frontier analysis (SFA). Utilizing an econometric energy demand model, the (in)efficiency of each state is modeled and it is argued that this represents a measure of the inefficient use of residential energy in each state (i.e. 'waste energy'). This underlying efficiency for the US is therefore observed for each state as well as the relative efficiency across the states. Moreover, the analysis suggests that energy intensity is not necessarily a good indicator of energy efficiency, whereas by controlling for a range of economic and other factors, the measure of energy efficiency obtained via this approach is. This is a novel approach to model residential energy demand and efficiency and it is arguably particularly relevant given current US energy policy discussions related to energy efficiency.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.eneco.2012.06.013Additional details
Identifiers
- DOI
- 10.1016/j.eneco.2012.06.013;
- PII
- S0140-9883(12)00119-3;
Publishing Information
- Journal Title
- Energy Economics
- Journal Volume
- 34
- Journal Issue
- 5
- Journal Page Range
- p. 1484-1491
- ISSN
- 0140-9883
- CODEN
- EECODR
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 44107266
- Subject category
- S29: ENERGY PLANNING, POLICY AND ECONOMY;
- Descriptors DEI
- ENERGY CONSUMPTION; ENERGY DEMAND; ENERGY EFFICIENCY; ENERGY POLICY; STOCHASTIC PROCESSES
- Descriptors DEC
- DEMAND; EFFICIENCY; GOVERNMENT POLICIES
Optional Information
- Copyright
- Copyright (c) 2012 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.