The real-time price elasticity of electricity

Lijesen, Mark

doi:10.1016/j.eneco.2006.08.008

Cited by 347 publications

(153 citation statements)

References 22 publications

Supporting

Mentioning

146

Contrasting

Unclassified

Order By: Relevance

“…Much attention has been given to the role of technology, economics, and individual behavior in the attenuation of global energy demand [Lijesen, 2007;Stern, 2007;Wilson and Dowlatabadi, 2007;Gillingham et al, 2009;Popp et al, 2009;Stern, 2014], a key component of cost-effective climate change mitigation scenarios [Clarke et al, 2014]. Empirical research from economics and psychology primarily focuses on energy decision making as a rational, individual process [Wilson and Dowlatabadi, 2007].…”

Section: Introductionmentioning

confidence: 99%

Holidays in lights: Tracking cultural patterns in demand for energy services

2015

View full text Add to dashboard Cite

Successful climate change mitigation will involve not only technological innovation, but also innovation in how we understand the societal and individual behaviors that shape the demand for energy services. Traditionally, individual energy behaviors have been described as a function of utility optimization and behavioral economics, with price restructuring as the dominant policy lever. Previous research at the macro-level has identified economic activity, power generation and technology, and economic role as significant factors that shape energy use. However, most demand models lack basic contextual information on how dominant social phenomenon, the changing demographics of cities, and the sociocultural setting within which people operate, affect energy decisions and use patterns. Here we use high-quality Suomi-NPP VIIRS nighttime environmental products to: (1) observe aggregate human behavior through variations in energy service demand patterns during the Christmas and New Year's season and the Holy Month of Ramadan and (2) demonstrate that patterns in energy behaviors closely track sociocultural boundaries at the country, city, and district level. These findings indicate that energy decision making and demand is a sociocultural process as well as an economic process, often involving a combination of individual price-based incentives and societal-level factors. While nighttime satellite imagery has been used to map regional energy infrastructure distribution, tracking daily dynamic lighting demand at three major scales of urbanization is novel. This methodology can enrich research on the relative importance of drivers of energy demand and conservation behaviors at fine scales. Our initial results demonstrate the importance of seating energy demand frameworks in a social context.

show abstract

Section: Introductionmentioning

confidence: 99%

Holidays in lights: Tracking cultural patterns in demand for energy services

2015

View full text Add to dashboard Cite

show abstract

“…There are several plausible explanations for this empirical finding. One reason for an increase in consumption in response to savings information is that people might simply ignore the potential savings, or that the actual savings might be too small to be meaningful especially given the low price elasticity of electricity use in the short term (Lijesen, 2007; and the small contribution of electricity cost to household expenses.…”

Section: Outcomes Of Different Strategiesmentioning

confidence: 99%

Information strategies and energy conservation behavior: A meta-analysis of experimental studies from 1975 to 2012

Delmas¹,

Fischlein²,

Asensio³

2013

Energy Policy

533

312

View full text Add to dashboard Cite

“…Price-led programmes have been in place for some time, with time-of-use tariffs providing economic signals for demand response [40]. With the aim of dissuading industrial customers from using electricity during peak hours, hence increasing the demand and energy cost components of their electricity bills, the TSO has the right to determine the hours of operation for the period corresponding to the most expensive period of the year.…”

Section: Dr Programmes In Spainmentioning

confidence: 99%