To What Degree do Retail Electricity Prices Inform Residential Solar Energy Investment Decisions?

The relationship between electricity price and household solar photovoltaic (PV) adoption has not been thoroughly studied. How much would a carbon tax, and increase in electricity price, spur growth in residential solar? This paper adds to the literature with a utility-level panel analysis. Consumer choice theory provides the framework for the empirical models. I use electricity price and net metered solar PV capacity data from the Energy Information Administration (EIA). Through a variety of specifications, I control for both utility and state-year effects. My findings suggest that electricity price is significantly positively correlated with solar adoption, with an estimated price elasticity of 1.85. These results are limited by endogeneity and omitted variable bias

Utility rebates for ENERGY STAR appliances: Are they effective?

We estimate the impact of utility cash rebates on the market share of ENERGY STAR appliances by exploiting the variation in timing and size of rebates across US states. We find that a dollar increase in the population-weighted utility rebate raises the share of ENERGY STAR qualified clothes washers by 0.4%, but does not affect dishwasher and refrigerator shares. Using information on energy saved by an ENERGY STAR appliance and assuming a redemption rate of 40%, the cost per tonne of carbon saved is about $140 for the clothes washers rebate program. The corresponding cost of a megawatt hour saved, about$28, is lower than the estimated cost of building and operating an additional power plant and the average on-peak spot price. We conclude that the ENERGY STAR clothes washers rebate program is, on average, a cost-effective way for utilities to reduce electricity demand

Benchmarking and Regulation of Electricity Transmission and Distribution Utilities: Lessons from International Experience

Since the early 1980's, many countries have implemented electricity sector reform, many of which have bundled generation, transmission, distribution and supply activities, and have introduced competition in generation and supply. An increasing number of countries are also adopting incentive regulation to promote efficiency improvement in the natural monopoly activities - transmission and distribution. Incentive regulation almost invariably involves benchmarking or comparison of actual vs. some reference performance. This paper reviews the main approaches to incentive regulation and discusses various benchmarking methods. We also present the finding of a survey of the use of benchmarking methods in the OECD and few other countries. Our survey finds a variety of methods used by the electricity regulators although with a notable preference for the non-parametric methods. We then draw conclusions based on the finding of the survey highlighting the main outstanding issues and lessons for best practice implementation of benchmarking in electricity regulation

U.S. commercial electricity consumption

Commercial electricity usage exceeds that of industrial usage and is almost as large as residential electricity consumption in the United States. In this study, regional economic, demographic, and climatic data are used to analyze commercial electricity demand in the United States. Results indicate that total commercial demand for electricity is negatively related to price. In addition, the number of businesses and service income positively affect electricity demand for commercial use. The results are similar for equations estimated for kilowatt-hours demanded per business. The regional dummy variables exhibit different signs, which may occur due to climate factors because warm weather regions experience greater volumes of cooling degree-days, while cool weather regions observe larger amounts of heating degree-days. Although coefficients for the price of natural gas are positive, they do not satisfy the 5-percent significance criterion. The latter suggests that natural gas may not be a substitute good for electricity within the commercial sector of the U.S. economy.Commercial Electricity Consumption; Regional Economics

Does Competition Reduce Costs? Assessing the Impact of Regulatory Restructuring on U.S. Electric Generation Efficiency

This paper explores the empirical effects of competition on technical efficiency in the context of electricity industry restructuring. Restructuring programs adopted by many U.S. states made utilities residual claimants to cost savings and increased their exposure to competitive markets. We estimate the impact of these changes on annual generating plant-level input demand for non-fuel operating expenses, the number of employees and fuel use. We find that municipally-owned plants, whose owners were for the most part unaffected by restructuring, experienced the smallest efficiency gains over the past decade. Investor-owned utility plants in states that restructured their wholesale electricity markets had the largest reductions in nonfuel operating expenses and employment, while investor-owned plants in nonrestructuring states fell between these extremes. The analysis also highlights the substantive importance of treating the simultaneity of input and output decisions, which we do through an instrumental variables approach

Modeling electricity prices: international evidence

This paper analyses the evolution of electricity prices in deregulated markets. We present a general model that simultaneously takes into account the possibility of several factors: seasonality, mean reversion, GARCH behaviour and time-dependent jumps. The model is applied to equilibrium spot prices of electricity markets from Argentina, Australia (Victoria), New Zealand (Hayward), NordPool (Scandinavia), Spain and U.S. (PJM) using daily data. Six different nested models were estimated to compare the relative importance of each factor and their interactions. We obtained that electricity prices are mean-reverting with strong volatility (GARCH) and jumps of time-dependent intensity even after adjusting for seasonality. We also provide a detailed unit root analysis of electricity prices against mean reversion, in the presence of jumps and GARCH errors, and propose a new powerful procedure based on bootstrap techniques

Taking the LEED? Analyzing spatial variations in market penetration rates of eco-labeled properties

This paper investigates the impact of policies to promote the adoption of LEED-certified buildings across CBSA in the United States. Drawing upon a unique database that combines data from a large number of sources and using a number of regression procedures, the determinants of the proportion LEED-certified space for more than 170 CBSA in the US is modeled. LEED-certified space still accounts for a relatively small proportion of commercial stock in all markets. The average proportion is less than 1%. There is no conclusive evidence of a positive impact of policy intervention on the levels of LEED-certified space. However, after accounting for bias introduced by non-random assignment of policies, we find preliminary evidence of a positive impact of city-level green building incentives. There is a significant positive association between market size and indicators of economic vitality on proportions of LEED-certified space

An Examination of Frank Wolak’s Model of Market Power and its Application to the New Zealand Electricity Market

This paper is the second in a symposium of papers that examine the 2009 report by Frank Wolak into the New Zealand electricity market. In this paper, we discuss the Report’s measures of the ability and incentives of generators to exercise unilateral market power. We show that the construction and interpretation of these measures are highly sensitive to some key assumptions, particularly those concerning the elasticity of demand for electricity in the wholesale market and the amount of transmission loss on the national grid.Electricity markets; market power

Demand and Pricing in Electricity Markets: Evidence from San Diego During California's Energy Crisis

We study the electricity consumption of San Diego-area households following a series of price changes and related events during California's energy crisis in 2000-01. The analysis uses a five-year panel of disaggregate billing and weather data for a random sample of 70,000 households. In contrast to prior work, these data allow us to proceed without behavioral assumptions regarding a consumer's knowledge of energy prices. We find that after a rapid price increase in summer 2000, consumption fell substantially over about 60 days, averaging 12% per household; consumption then rebounded to within 3% of pre-crisis levels after a price cap was imposed. Under the price cap public appeals for energy conservation and a remunerative voluntary conservation program had significant, but transitory, effects. Further, a large share of households reduced electricity consumption substantially (over 10%) but saved small monetary amounts ($10 or less). Overall, the results indicate consumers may be far more responsive to pecuniary and non-pecuniary incentives for altering their energy use than is commonly believed.