Social cost-efficient service quality—Integrating customer valuation in incentive regulation: Evidence from the case of Norway

In order to overcome the perverse incentives of excessive maintenance reductions and insufficient network investments arising with incentive regulation of electricity distribution companies, regulators throughout Europe have started regulating service quality. In this paper, we explore the impact of incorporating customers’ willingness-to-pay for service quality in benchmarking models on cost efficiency of distribution networks. Therefore, we examine the case of Norway, which features this approach to service quality regulation. We use the data envelopment analysis technique to analyse the effectiveness of such regulatory instruments. Moreover, we discuss the extent to which this indirect regulatory instrument motivates a socially desired service quality level. The results indicate that internalising external or social cost of service quality does not seem to have played an important role in improving cost efficiency in Norwegian distribution utilities.     

Does weather explain cost and quality performance? An analysis of UK electricity distribution companies

In recent years, a number of empirical studies and energy regulators have applied benchmarking techniques to measuring the efficiency and performance of network utilities. An important issue has been the extent to which the results are influenced by contextual factors. Among these, weather factors are frequently discussed as being important. We use factor analysis and two-stage data envelopment analysis techniques to examine the effect of a set of important weather factors (gale, hail, temperatures, rainfall and thunder) on the performance of electricity distribution networks in the UK. The results indicate that such factors often do not have a significant economic and statistical effect on the overall performance of the utilities. The weather parameters in some models are significant in terms of economic efficiency. The results echo our previous findings of the importance of extending the basic model to include other inputs such as total expenditure (Totex), customer minutes lost (CML) and network energy losses in regulatory benchmarking.     

International benchmarking and regulation: an application to European electricity distribution utilities

Due to a shortage of data and increased international mergers, national energy regulators are looking to international benchmarking analyses for help in setting price controls within incentive regulation. We present an international benchmarking study of 63 regional electricity distribution utilities in six European countries that aims to illustrate the methodological and data issues encountered in the use of international benchmarking for utility regulation. The study examines the effect of the choice of benchmarking methods using DEA, COLS and SFA models. We discuss what problems of international benchmarking are highlighted by the study and how they can be overcome.     

Spatial statistical methods applied to the 2015 Brazilian energy distribution benchmarking model: Accounting for unobserved determinants of inefficiencies

In 2015 the Brazilian regulator presented a DEA benchmarking model to set the regulatory operational cost goals, to be reached in four years for 61 electricity distribution utilities. The DEA model uses: adjusted operational cost as the input variable, seven output variables and weight restrictions. Although non-discretionary variables or environmental variables are available in the dataset, the regulator argued that no statistically significant correlation was found between the DEA efficiency scores and the non-discretionary variables. This study evaluates the statistical correlation between the DEA efficiency scores and the available environmental variables. Spatial statistic methods are used to show that the efficiency scores are geographically correlated. Furthermore, due to Brazil's environmental diversity and large territory it is unlikely that only one environmental component is sufficient to adjust inefficiencies across the Brazilian territory. Thus, a new combined environmental variable is proposed. Finally, a second stage model using the proposed environmental variable and accounting for a spatial latent structure is presented. Results show major differences between original and corrected efficiency scores, mainly for utilities located in harsh environments and which originally achieved lower efficiency scores.     

基于随机前沿分析的配电网服务质量效率研究

为了解地理和气候因子对配电网的服务质量及效率的影响程度,采用基于Battese和Coelli(BC)模型的随机前沿分析(SFA)法,以我国2007~2010年117个配电网的平衡面板数据为例,分析了地理和气候因子对配电网服务质量效率的影响程度。为避免出现复共线性问题,运用因子分析法减少变量,使其转变为较少数量的复合因子,分别在有无复合因子的情况下评估了BC模型和固定效应模型,从而确定了可观测和不可观测的异质性对效率评估的影响效果。     

Measuring efficiency and productivity change (PTF) in the Peruvian electricity distribution companies after reforms

This paper analyzes the evolution of productivity of the electricity distribution companies in Peru, to assess whether reforms have improved the efficiency in this sector. The paper also identifies potential sources of productivity changes, based on market restructuring the electricity sector and changes in property. To do this, we rely on a set of data for 14 distribution companies, for the period 1996–2006. Our analysis suggests that improvements in the efficiency and productivity of electricity distribution in Peru have occurred, and that there is a relationship between the restructuring of distribution sector and the enhancement of productivity.     

The evolution and main determinants of productivity in Brazilian electricity distribution 1998–2005: An empirical analysis

This paper estimates changes in the productivity of the Brazilian electricity distribution sector using Data Envelopment Analysis (DEA) on a panel of 18 firms from 1998 to 2005. The study decomposes the productivity change of these distribution firms in terms of technical efficiency, scale-efficiency and technical progress. This exercise aims to help the understanding of the main determinants of the evolution of productivity, focusing its relationship with the restructuring process implemented in the 1990s. TFP index records a yearly positive growth rate of 1.3% in the whole period under analysis for all firms. Technical change was the main component behind this evolution, with an average growth of 2.1% per year, while technical efficiency presented a yearly negative performance of ? 0.8%. The results prove that, in general terms, the incentives generated in the reform process do not seem to have led the firms to behave in a more efficient manner.     

Reference models and incentive regulation of electricity distribution networks: An evaluation of Sweden's Network Performance Assessment Model (NPAM)

Electricity sector reforms across the world have led to a search for innovative approaches to regulation that promote efficiency in the natural monopoly distribution networks and reduce their service charges. To this aim, a number of countries have adopted incentive regulation models based on efficiency benchmarking. While most regulators have used parametric and non-parametric frontier-based methods of benchmarking some have adopted engineering-designed “reference firm” or “norm” models. This paper examines the incentive properties and related aspects of the reference firm model—NPAM—as used in Sweden and compares this with frontier-based benchmarking methods. We identify a number of important differences between the two approaches that are not readily apparent and discuss their ramifications for the regulatory objectives and process. We conclude that, on balance, the reference models are less appropriate as benchmarks than real firms. Also, the implementation framework based on annual ex-post reviews exacerbates the regulatory problems mainly by increasing uncertainty and reducing the incentive for innovation.     

Comparing welfare effects of different regulation schemes: An application to the electricity distribution industry

We compare the welfare effects of different regulation schemes of electricity distribution utilities. The compared regulation schemes are Fixed Price regulation, Cost of Service regulation, Menu of Cost-Contingent Contracts and Simple Menu of Contracts. In our calculations we utilize the information of a firm’s potential to improve cost efficiency. The firm-specific cost information of Finnish electricity distribution utilities is obtained by using various Stochastic Frontier models. Our basic result is that welfare can be improved by changing the Cost of Service regulation scheme to the Menu of Contracts regulation. Welfare also increases in the case of Fixed Price regulation and Simple Menu of Contract regulation. There is however, a significant difference among regulation regimes on how this improved welfare is distributed to consumers and producers.     

Innovation performance of the US American and European electricity supply industry

Using a production function approach based on Cobb–Douglas, this analysis relates R&D efforts of 32 electric utilities on both sides of the Atlantic to their performance in terms of labour productivity. We find that higher R&D levels generally have a positive impact on revenues. However, only in the sub-sample of 16 electricity suppliers in Europe this effect is significant. Knowledge spill-over effects can be estimated for the US American sub-sample, since US utilities have bundled their R&D efforts in a centralized research institution and have to report that data. Our analysis reveals, though, that collaborative research efforts do not lead to positive spill-overs at the assumption of a time delay of one year.     

Electricity demand in Kazakhstan

Properties of electricity demand in transition economies have not been sufficiently well researched mostly due to data limitations. However, information on the properties of electricity demand is necessary for policy makers to evaluate effects of price changes on different consumers and obtain demand forecasts for capacity planning. This study estimates Kazakhstan's aggregate demand for electricity as well as electricity demand in the industrial, service, and residential sectors using regional data. Firstly, our results show that price elasticity of demand in all sectors is low. This fact suggests that there is considerable room for price increases necessary to finance generation and distribution system upgrading. Secondly, we find that income elasticity of demand in the aggregate and all sectoral models is less than unity. Of the three sectors, electricity demand in the residential sector has the lowest income elasticity. This result indicates that policy initiatives to secure affordability of electricity consumption to lower income residential consumers may be required. Finally, our forecast shows that electricity demand may grow at either 3% or 5% per year depending on rates of economic growth and government policy regarding price increases and promotion of efficiency. We find that planned supply increases would be sufficient to cover growing demand only if real electricity prices start to increase toward long-run cost-recovery levels and policy measures are implemented to maintain the current high growth of electricity efficiency.     

Estimating the price elasticity of US electricity demand

The use of a single electricity price has been seen as a major shortcoming of econometric models of residential electricity demand. It has been suggested that demand estimation should be based on the full rate schedule. This suggestion is evaluated here by examining demand estimates for 27 investor-owned US utilities over the period 1957–1972. The specification errors resulting from using an average revenue price are measured. It is found that statistically valid demand estimated do not necessarily require information on tariff schedules, but that state-wide aggregates of elasticity may often be inapplicable to individual utilities.     

Observed and unobserved heterogeneity in stochastic frontier models: An application to the electricity distribution industry

In this study we combine different possibilities to model firm level heterogeneity in stochastic frontier analysis. We show that both observed and unobserved heterogeneities cause serious biases in inefficiency results. Modelling observed and unobserved heterogeneities treat individual firms in different ways and even though the expected mean inefficiency scores in both cases diminish the firm level efficiency rank orders turn out to be very different. The best fit with the data is obtained by modelling unobserved heterogeneity through randomizing frontier parameters and at the same time explicitly modelling the observed heterogeneity into the inefficiency distribution. These results are obtained by using data from Finnish electricity distribution utilities and the results are relevant in relation to electricity distribution pricing and regulation.     

Evaluating the regulator: Winners and losers in the regulation of Spanish electricity distribution

The principal aim of this study is to evaluate the regulation of electricity distribution in Spain. To this end, we begin by analyzing whether the changes introduced by the regulator led distribution companies to improve their efficiency; we then address whether the reimbursements paid to the distribution companies are linked to efficiency; lastly, we examine whether consumers benefited from the efficiency improvements. We focus on Spain because the electricity regulator in that country is a longstanding pioneer in the implementation of incentive-based regulatory models. Our analysis was implemented using the regulatory model proposed by Bogetoft (1997) as a benchmark. The results show that the Spanish electricity regulator did not establish a link between efficiency and the reimbursements paid to electricity companies; in addition, the electricity companies benefited to the detriment of consumers.     

A deterministic approach for performance assessment and optimization of power distribution units in Iran

This paper presents a deterministic approach for performance assessment and optimization of power distribution units in Iran. The deterministic approach is composed of data envelopment analysis (DEA), principal component analysis (PCA) and correlation techniques. Seventeen electricity distribution units have been considered for the purpose of this study. Previous studies have generally used input–output DEA models for benchmarking and evaluation of electricity distribution units. However, this study considers an integrated deterministic DEA–PCA approach since the DEA model should be verified and validated by a robust multivariate methodology such as PCA. Moreover, the DEA models are verified and validated by PCA, Spearman and Kendall's Tau correlation techniques, while previous studies do not have the verification and validation features. Also, both input- and output-oriented DEA models are used for sensitivity analysis of the input and output variables. Finally, this is the first study to present an integrated deterministic approach for assessment and optimization of power distributions in Iran.     

International benchmarking of electricity transmission by regulators: A contrast between theory and practice?

Benchmarking of electricity networks has a key role in sharing the benefits of efficiency improvements with consumers and ensuring regulated companies earn a fair return on their investments. This paper analyses and contrasts the theory and practice of international benchmarking of electricity transmission by regulators. We examine the literature relevant to electricity transmission benchmarking and discuss the results of a survey of 25 national electricity regulators. While new panel data techniques aimed at dealing with unobserved heterogeneity and the validity of the comparator group look intellectually promising, our survey suggests that they are in their infancy for regulatory purposes. In electricity transmission, relative to electricity distribution, choosing variables is particularly difficult, because of the large number of potential variables to choose from. Failure to apply benchmarking appropriately may negatively affect investors’ willingness to invest in the future. While few of our surveyed regulators acknowledge that regulatory risk is currently an issue in transmission benchmarking, many more concede it might be. In the meantime new regulatory approaches – such as those based on tendering, negotiated settlements, a wider range of outputs or longer term grid planning – are emerging and will necessarily involve a reduced role for benchmarking.     

Behavioral aspects of regulation: A discussion on switching and demand response in Turkish electricity market

Electricity sector has been transformed from state-owned monopolistic utilities to competitive markets with an aim to promote incentives for improving efficiency, reducing costs and increasing service quality to customers. One of the cardinal assumptions of the liberalized and competitive electricity markets is the rational actor, and decision-makers are assumed to make the best decisions that maximize their utility. However, a vast literature on behavioral economics has shown the weakness of economic theory in explaining and predicting individuals’ decision-making behavior. This issue is quite important for competition in electricity markets in which consumers’ preferences have a significant role. Despite its importance, this issue has almost been neglected in Turkey, which has taken major steps in electricity sector restructuring. Therefore, this paper aims to examine switching and demand response behavior in Turkish electricity market by using multiple correspondence and panel data analysis, and findings are discussed in light of the neoclassical and behavioral economics literature. Analyses’ results show that consumers’ switching and demand response behavior is consistent with the neoclassical literature to some extent; however, behavioral factors are also affecting consumers’ decisions. Furthermore, there are systemic problems that hinder effective functioning of the electricity market and restrict competition.     

Performance based regulation of the electricity supply industry in Hong Kong: An empirical efficiency analysis approach

This paper presents an empirical efficiency analysis approach to analyze the efficiency and performance of utilities and its effects on prices under the price-cap performance based regulation (PBR) model. A data envelopment analysis (DEA)-like frontier-based method is used to compute the total factor productivity with the Malmquist productivity index. Results of case studies support the use of the approach to account for the relation of the X-factor and the PBR model on the two power utilities in Hong Kong's electricity supply industry.     

Decomposing energy productivity change: A distance function approach

By using output distance functions, this paper decomposes energy productivity change into several components: effects of the changes in the ratios of non-energy inputs to energy, energy supply composition, and output composition; technical efficiency change; technological change. We apply this method to decompose energy productivity change in 23 OECD countries between 1980 and 1990. Results show that technological change is the most important source; increase in capital–energy ratio and the growing importance within total energy supply of electricity also contribute to it.     

Beyond the end-consumer: how would improvements in residential energy efficiency affect the power sector in Saudi Arabia?

Energy efficiency in buildings has garnered significant attention in Saudi Arabia. This paper outlines the potential effects of higher residential efficiency on electricity load profiles in the Kingdom. It further presents the associated benefits that could have been realized by the local utilities in 2011. To perform the analysis, we designed an integrated methodology in which an engineering-based residential electricity demand model is used within an economic equilibrium framework. The modeling approach allows us to capture the physical interactions arising from higher efficiency and the structural changes that could occur in the economy beyond the end-consumers. Raising the average air-conditioner energy efficiency ratio (EER) to 11 British thermal unit (BTU)/(Wh) from its 2011 average would have saved 225,000 barrels/day of crude oil in electricity generation. Alternatively, increasing the share of insulated homes from 27 to 64 % would have allowed the power sector to lower its use of the fuel by 158,000 barrels/day. Combining both measures in a single simulation yields incremental yet not additive reductions. All alternative scenarios reduce costs to the utilities and improve the average thermal efficiency for the electricity generated. The studied efficiency options shift the load curve downward during the peak load segment when the least efficient turbines would be used. We additionally show how efficiency improvements in end-uses can affect the decisions of other sectors in the economy.