Published September 2012 | Version v1
Journal article

US residential energy demand and energy efficiency: A stochastic demand frontier approach

  • 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.2012.06.013

Additional 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.