Effects of Voluntary Time-of-Use Pricing on Summer Electricity Usage of Business Customers

被引:0
作者
Yueming Qiu
Loren Kirkeide
Yi David Wang
机构
[1] Arizona State University,Program of Technological Entrepreneurship and Management
[2] Salt River Project,Department of Forecasting, Research and Economic Development
[3] University of International Business and Economics,School of Banking and Finance
来源
Environmental and Resource Economics | 2018年 / 69卷
关键词
Time-of-use pricing; Business customers; Electricity; Matching; Difference-in-differences; D22; L50; L94; Q41;
D O I
暂无
中图分类号
学科分类号
摘要
Economic inefficiency can be caused by time-invariant retail electricity prices because they do not reflect variations in the cost of providing electricity during the day. Time-of-use (TOU) pricing—higher electricity prices during peak hours and lower electricity prices during off-peak hours—is by far the most common way to achieve more efficient levels of electricity consumption through reducing peak demand. The empirical evidence of the effectiveness of TOU pricing is sparse in the commercial and industrial sectors and there is no consensus in the literature on the statistical significance and magnitude of the effects. Applying a quasi-experimental design, this study evaluates an ongoing experiment of voluntary business TOU pricing plan by a major utility company in the Phoenix metropolitan area. Using the nearest-neighbor matching method, we identify control customers for the voluntary participants of the business TOU pricing. From difference-in-differences analysis, we find a statistically significant reduction in peak-hour electricity demand in response to the TOU pricing. We also find that there is no conservation effect, meaning that the total level of electricity consumption does not change under the TOU pricing.
引用
收藏
页码:417 / 440
页数:23
相关论文
共 44 条
[1]  
Aigner D(1985)Commercial/industrial customer response to time-of-use electricity prices: some experimental results RAND J Econ 16 341-355
[2]  
Hirschberg J(1994)The response of small and medium-size business customers to time-of-use (TOU) electricity rates in Israel J Appl Econom 9 283-304
[3]  
Aigner D(2005)On the efficiency of competitive electricity markets with time-invariant retail prices Rand J Econ 36 469-493
[4]  
Newman J(2014)The impact of dynamic pricing on residential and small commercial and industrial usage: new experimental evidence from connecticut Energy J 35 137-159
[5]  
Tishler A(2015)Impact measurement of tariff changes when experimentation is not an option—a case study of Ontario, Canada Energy Econ 52 39-48
[6]  
Borenstein S(1999)Smart meter, customer choice and profitable time-of-use rate option Energy 24 895-903
[7]  
Holland S(1983)An analysis of commercial and industrial customer response to time-of-use rates Energy J 4 103-126
[8]  
Faruqui A(2007)Matching as nonparametric preprocessing for reducing model dependence in parametric casual inference Polit Anal 15 199-236
[9]  
Sergici S(2012)Effects of three-hour on-peak time-of-use plan on residential demand during hot Phoenix summers Electr J 25 48-62
[10]  
Akaba L(2013)Using balance statistics to determine the optimal number of controls in matching studies J Eval Clin Pract 19 968-975