; Overview - Austrian Association for Energy Economics - DOC
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Overview - Austrian Association for Energy Economics - DOC


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                                                        Saplacan Pop Roxana, EDF R&D, +33147655914, roxana.saplacan-pop@edf.fr

                                                          Brzakowski Florence, EDF R&D, +3314765673, Florence.brzakowski@edf.fr

                                                                   Entem Marianne, EDF R&D, +3314764515, Marianne.entem@edf.fr

In accordance with the general concern about climate change, policy makers, media and lobbies emphasise the need for
customers’ behaviour to adapt over time to different ways of using energy resources and other essential goods such as oil, gas
and water. In this context, recent proposals to improve the efficiency of energy use in the residential sector (Climate Action and
Renewable Energy Package set by the EU Commission in January 2008) have called for changes in electricity end user offers
and rate structures. As a consequence, the structure of electricity tariffs must adapt to the need for inducing consumers to
modify their electricity use. However, tariffs can be very sophisticated in electricity, and consumers’ behaviour is influenced by
other factors, which makes difficult for a retailer to predict how residential consumers will respond to a change in its offer.
In this study we focus on residential electricity demand since an usual agreement seems to persist, that residential consumers do
not want to undertake much effort to control and manage their electricity use or to have to think about their electricity
consumption (Kiesling, 2007). For example, consumers have little awareness of the energy efficiency of electricity-using
appliances (Yamamoto et al., 2008). Knowledge of the factors affecting residential electricity demand and estimation of
econometric models of electricity demand, offer an interesting approach for studying the potential impacts of alternative offers
on pricing and energy efficiency.
Regarding residential consumers, incentives to use final energy resources more efficiently could be given by changes in both
the level and the structure of energy tariffs, as well as by diversified offers which take into account factors, other than
prices/tariffs, consumers are sensitive about. Interestingly, with the opening up of energy markets, as a result of the arrival of
new entrants to competition these factors diversified, and so did the tariffs and their structure.
Several institutional actors (electric utilities, regulatory commissions, policy makers, researchers and consulting firms) show
therefore an interest in predicting accurately the change in energy-use that would result from a change in its price/tariffs and
other variables. This requires an assumption of the price elasticity but also of all relevant factors that constitute the household
demand pattern of energy and thus influence residential consumers’ behaviour.

Classical micro-economic tools such as price elasticities, revenue elasticities, consumer behaviour modelling and industrial
economy theory are employed.

This paper proposes a roadmap of the main factors influencing consumer’s decision and behaviour as they were defined by the
economic and sociologic literature.
The first section accounts for standard results of the literature on electricity demand, mainly on the evaluation of the
consumer’s sensitiveness to price signal thanks to its elasticity.
In the second section, after an assessment of the energy saving potential, a global review of incentive rates is conducted: tiered
rates, tariffs that are more proportional, and incentive taxes were identified, as well as few commercial offers and
complementary measures. We show that monitor-provided information by itself has a modest impact on consumer’s electricity
usage. However, information, price incentives, energy efficiency issues and all relevant factors influencing household demand
pattern of energy could become a ―service pack‖ used by residential consumers to better control their daily consumption.
In the last section we show that, however, the analysis is restricted by the fact that the attitude or the time a consumer is ready
to spend in order to achieve an efficient use of an sophisticated energy management tool is unobservable (Aubin et al. 1995).
This raises two questions. First, how do we measure this unobservable variable when data are collected by a firm and cannot
bear on all the aspects of consumer behaviour? A micro-economic approach should be used to allow each consumer to value its
needs of energy supply. However, measuring this value faces a methodology difficulty of revealing a consumer’s willing to pay
for something they cannot physically identify (Flachaire et Hollard, M. Oren, J. Bushnell, S. Borenstein). Second, does a real-
time tariff give the right incentive to the consumer?
We conclude on highlighting the major barriers to implementing ―packages‖ of tariffs and energy efficiency services, e.g. the
financial disincentive caused by reduced energy sales while nowadays customers consume less. Nevertheless, this consumption
reduction also constitutes an opportunity in implementing such ―packages‖.

Aubin, C. Fougère, D., Husson, E., Ivaldi, M., 1995, Real-time pricing of electricity for residential customers: econometric
analysis of an experiment, Journal of Applied Econometrics, Vol. 10, No. S, pp. 171–191

Baker, P., Blundell, R., Micklewright, J., 1989, Modelling household energy expenditures using micro-data, The Economic
Journal, Vol. 99, No. 397, pp. 720–738

Bessec M., Fouquau J., 2008, The non-linear link between electricity consumption and temperature in Europe: A threshold
panel approach, Energy Economics, Volume 30, Issue 5, September 2008, Pages 2705-2721

DGEMP,      2007,      Bilan     énergétique      de     la     France      pour     2007,     Observatoire      de     l’énergie,

Ek, C., Söderholm, P., 2008, Norms and economic motivation in the Swedish green electricity market, Ecological Economics,
Volume 68, Issues 1-2, 1 December 2008, Pages 169-182

Engsted, T., Bentzen, J., 1993, Expectations, adjustment costs, and energy demand, Resource and Energy Economics, Vol. 15,
No. 4, pp. 371–385

Espey, J.A., Espey, M., 2004, Turning on the lights: A meta-analysis of residential electricity demand elasticities, Journal of
Agricultural and Applied Economics, Vol. 36, No. 1, pp. 65–81

Filippini, M., 1995, Swiss Residential Demand for Electricity by Time-of-Use: An Application of the Almost Ideal Demand
System, Energy Journal, 01956574, 0101, Vol. 16, Issue 1

Keirstead, J., 2007, Behavioural responses to photovoltaic systems in the UK domestic sector, Energy Policy, Volume 35, Issue
8, August 2007, Pages 4128-4141

Kiesling, L., 2007, Retail electricity deregulation: prospects and challenges for dynamic pricing and enabling technologies,
Draft        prepared       for         the       Searle       Center       Annual        Review        of       Regulation,

Matsukawa, I., 2004, The effects of information on residential demand for electricity, Energy Journal, v. 25, iss. 1, pp. 1-17

Matsukawa, I., 2001, Household Response to Optional Peak-Load Pricing of Electricity, Journal of Regulatory Economics,
20:3 249-267

Mirasgedis S., Sarafidis Y., Georgopoulou E., Kotroni V., Lagouvardos K., Lalas D.P., 2007, Modeling framework for
estimating impacts of climate change on electricity demand at regional level: Case of Greece, Energy Conversion and
Management, Volume 48, Issue 5, May 2007, Pages 1737-1750

Moral-Carcedo J., Vicéns-Otero J., 2005, Modelling the non-linear response of Spanish electricity demand to temperature
variations, Energy Economics, Volume 27, Issue 3, May 2005, Pages 477-494

Reiss, P.C., White, M.W., 2005, Household electricity demand, revisited, Review of Economic Studies, Vol. 72, No. 3, pp.

Salies, E., Waddams Price, C., 2004, Charges, costs and market power: the deregulated UK electricity retail market, Energy
Journal, Vol. 25, No. 3, pp. 19–35

Yamamoto, Y., Suzuki, A., Fuwa, Y., Sato, T., 2008, Decision-making in electrical appliance use in the home, Energy Policy,
Vol. 36, No. 5, pp. 1679–1686

Yusta J.M., Khodr, H.M., Urdaneta, A.J., 2007, Optimal pricing of default customers in electrical distribution systems : effect
behavior performance of demand response models, Electric Power Systems Research, Volume 77, Issues 5-6, April 2007,
Pages 548-558

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