The Price Elasticity of Electricity Demand in the United States: A Three-Dimensional Analysis

Burke, Paul J.; Abayasekara, Ashani

doi:10.5547/01956574.39.2.pbur

Cited by 122 publications

(32 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…demand for a commodity (e.g. Burke & Yang, 2016;Burke & Abayasekara, 2018), with the link to road deaths being that road death risks are themselves associated with the demand for gasoline. 5 Burke andNishitateno (2013, 2015) and Gillingham (2014) used a similar strategy in estimating the effects of fuel prices on various road-sector outcomes.…”

Section: Estimation Methodsmentioning

confidence: 99%

Fuel Prices and Road Deaths in Australia

Burke

Teame

2018

J of App Econs and Policy

Self Cite

View full text Add to dashboard Cite

After years of general progress in reducing Australia's road death toll, road deaths increased in 2015 and 2016, reaching 1293 per annum. These were also years of relatively cheap fuel following the dramatic decline in the world oil price in late 2014. This study uses monthly data to model the number of road deaths in Australia. Our estimates suggest that low fuel prices have contributed to knocking Australia off track for meeting its 2020 road safety target. The paper also provides a discussion of other factors that may have contributed to the rise in Australia's road death toll.

show abstract

Section: Estimation Methodsmentioning

confidence: 99%

Fuel Prices and Road Deaths in Australia

Burke

Teame

2018

J of App Econs and Policy

Self Cite

View full text Add to dashboard Cite

show abstract

“…Due to complex load models used in various studies, it is necessary to use sophisticated methods of econometric estimation to determine the price elasticity of demand. In [17], the OLS (Ordinary Least Squares) method is used, in [19,20], the LSDV (Least Squares Dummy Variable) and LSDVC (Least Squares Dummy Variable Corrected) approaches are used, in [42], the methods of robust statistics (robust regression) is adopted, [33] proposes two specifications: FE (Fixed Effects) and RE (Random Effects) models, while in [16] the author confronts the OLS, FE, and LSDVC methods. In addition, the improved AIC (Akaike's Information Criterion) can be used to find the most appropriate specifications in the load models under consideration [52].…”

Section: Literature Reviewmentioning

confidence: 99%

Demand Price Elasticity of Residential Electricity Consumers with Zonal Tariff Settlement Based on Their Load Profiles

2019

View full text Add to dashboard Cite

The concept of price elasticity of demand has been widely used for the assessment of the consumers’ behavior in the electricity market. As the residential consumers represent a significant percentage of the total load, price elasticity of their demand may be used to design desirable demand side response programs in order to manage peak load in a power system. The method presented in this study proposes an alternative approach towards price elasticity determination for zonal tariff users, based on comparisons of load profiles of consumers settled according to flat and time-of-use electricity tariffs. A detailed explanation of the proposed method is presented, followed by a case-study of price elasticity determination for residential electricity consumers in Poland. The forecasted values of price elasticity of demand for the Polish households using time-of-use (TOU) tariff vary between −1.7 and −2.3, depending on the consumers’ annual electricity consumption. Moreover, an efficiency study of residential zonal tariff is performed to assess the operation of currently applicable electricity tariffs. Presented analysis is based on load profiles published by Distribution System Operators and statistical data, but the method can be applied to the real-life measurements from the smart metering systems as well when such systems are accessible for residential consumers.

show abstract

“…Comparing the results with GSP growth, published by the ABS, 86 the positive coefficient for GSP suggests that states and territories with higher GSP consume more electricity. A similar study by Burke and Abayasekara 87 showed that states in the US with higher per capita GDP consumed more electricity in the commercial sector. The change in economic growth in the long term differs to that in the short term as shown in Table 1.…”

Section: Results Of the Ardl Modelmentioning

confidence: 65%

The impact of climate change on electricity demand in Australia

Emodi

Chaiechi

Beg

2018

Energy & Environment

View full text Add to dashboard Cite

This study estimates the short- and long-term impacts of climate change on electricity demand in Australia. We used an autoregressive distributed lag (ARDL) model with monthly data from 1999 to 2014 for six Australian states and one territory. The results reveal significant variations in electricity demand. We then used long-term coefficients for climatic response to simulate future electricity demand using four scenarios based on the representative concentration pathways (RCPs) of the Intergovernmental Panel on Climate Change (IPCC). Our results show a gradual increase in electricity consumption due to warmer temperatures with the possibility of peak demand in winter; however, demand tends to decrease in the middle of the twenty-first century across the RCPs, while the summer peak load increases by the end of the century. Finally, we simulated the impact of policy uncertainty through sensitivity analysis and confirmed the potential benefits of climate change adaptation and mitigation.

show abstract

The Price Elasticity of Electricity Demand in the United States: A Three-Dimensional Analysis

Cited by 122 publications

References 43 publications

Fuel Prices and Road Deaths in Australia

Fuel Prices and Road Deaths in Australia

Demand Price Elasticity of Residential Electricity Consumers with Zonal Tariff Settlement Based on Their Load Profiles

The impact of climate change on electricity demand in Australia

Contact Info

Product

Resources

About