The dynamics of efficiency and productivity growth in U.S. electric utilities

This study recognizes explicitly the efficiency gain or loss as a source in explaining the growth. A theoretically consistent method to estimate the decomposition of dynamic total factor productivity growth (TFP) in the presence of inefficiency is developed which is constructed from an extension of the dynamic TFP growth, adjusted for deviations from the long-run equilibrium within an adjustment-cost framework. The empirical case study is to U.S. electric utilities, which provides a measure to evaluate how different electric utilities participate in the deregulation of electricity generation. TFP grew by 2.26% per annum with growth attributed to the combined scale effects of 0.34%, the combined efficiency effects of 0.69%, and the technical change effect of 1.22%. The dynamic TFP grew by 1.66% per annum for electric utilities located within states with the deregulation plan and 3.30% per annum for those located outside. Electric utilities located within states with the deregulation plan increased the outputs by improving technical and input allocative efficiencies more than those located outside of states with deregulation plans.

Linear Programming Models for the Measurement of Environmental Performance of Firms—Concepts and Empirical Results

I use linear programming models to define standardised, aggregate environmental performance indicators for firms. The best practice frontier obtained corresponds to decision making units showing the best environmental behaviour. Results are obtained with data from U.S. fossil fuel-fired electric utilities, starting from four alternative models, among which are three linear programming models that differ in the way they account for undesirable outputs (pollutants) and resources used as inputs. The results indicate important discrepancies in the rankings obtained by the four models. Rather than contradictory, these results are interpreted as giving different, complementary kinds of information, that should all be taken into account by public decision-makers.     

Economies of scale in steam-electric power generation in East-North-Central U.S.

In this study the author investigates firm-level cross-sectional unit cost advantages for electricity generation for 31 regulated private steam-electric utilities in East-North-Central U.S. region during 1987. The production technology is modeled using the implied dual minimum total variable cost translog methodology. Estimates of Zellner’s Seemingly Unrelated Regressions indicate a smooth non-homothetic technology, a typical regional firm-level scale economies of about 0.263, and an implied mean cost-output elasticity of about 0.737. Significant scale economies exist for several of the smaller utilities. The findings support policies which steer energy-intensive industrial location decisions in a direction which captures unutilized unit cost economies in electricity generation.     

Evolving Electric Utility Regulatory Policy

A bstract . Current electric utility pricing methods understate the marginal social casts of electricity. Electricity prices are set to cover the utility's average cost rather than the higher marginal social cost. This mispricing hides from consumers the true cost their consumption imposes on society and, thereby, encourages them to ignore efficient conservation opportunities. Additionally, the conservation market suffers from a number of imperfections such as barriers to the acquisition of information, high upfront capital costs and the lack of conservation equipment availability. The electricity and conservation multimarket equilibrium is not achieved. The result is that society overconsumes (excess demand) electricity, overinvests in electric generating plants and underinvests (excess supply) in conservation resources. The large, yet uncertain, level of foregone conservation investment offers new opportunities for regulators and electric utility managers to improve economic efficiency with regulatory and planning policies that appropriately encourage the cost effective use of conservation resources. In the absence of the most efficient policy, marginal social cost pricing, integrated resource planning (IRP) is being adopted as a potential second-best regulatory policy and utility resource planning framework to improve energy efficiency. IRP uses mathematical optimization methods to search among many alternate resource portfolios of electricity creating and saving technologies. These methods identify the mix that best meets society's needs with the least social cost , where the social external costs and benefits of generating plant and conservation, respectively, are considered. Such a goal requires the choice of a resource portfolio that optimizes a complex objective function. As a result, the solution offers a resource action plan for electric utilities that may be Pareto-improving.     

The fundraising efficiency in U.S. non-profit art organizations: an application of a Bayesian estimation approach using the stochastic frontier production model

This article examines how efficient art organizations are in raising funds from private giving. We measure fundraising efficiency using a Bayesian estimation approach using the stochastic frontier production model. We show that fundraising efficiencies are generally quite low for art organizations in the U.S. when private giving is only considered as a fundraising output; however, when the effect of fundraising on ticket sales is considered, fundraising efficiencies improve substantially. We also show that government grants have a negative impact on fundraising efficiency and therefore partially crowd out private giving.     

Measurement of Dynamic Efficiency in Production: An Application of Data Envelopment Analysis to Japanese Electric Utilities

The purpose of this paper is to measure productive efficiencies when a firm employs quasi-fixed inputs that cannot be instantaneously adjusted to their optimal levels. To this end, data envelopment analysis (DEA) is extended to a dynamic framework so that investment behavior can be modelled with the efficient production frontier. Based on the work of Nemoto and Goto (1999), we show how the efficiencies of quasi-fixed inputs and their adjustment processes are evaluated. An application to Japanese electric utilities over the 1981–1995 period delivers empirically plausible results and proves the usefulness of the procedure.     

The impact of firm membership in an Independent System Operator (ISO) on production cost and cost efficiency in the generation sector of the U.S. electric utility industry

This paper examines how ISO membership impacts cost efficiency. Utilities joining ISOs can face more competition in selling electric power, possibly leading to lower profits, which can incentivize utilities to operate more cost efficiently to maintain a specified level of profits. The empirical model involves estimating a Probit model, then OLS regression, then a stochastic cost frontier. Using a 1992 to 2000 panel of 34 investor‐owned electric utilities, empirical results indicate that ISO membership contributed to higher production cost, lower cost efficiency, and ISO members subject to the 1990 Clean Air Act Amendments operated more cost efficiently than ISO members not subject to the Amendments.     

Analysis of electric distribution utilities efficiency levels by stochastic frontier in Brazilian power sector

The regulatory power sector model in several countries determines tariff review forms based, among other things, on sharing efficiency gains with consumers. As these reviews have an important impact on consumers and distribution utilities, it is necessary that the adopted methodologies always be improved. To this end, this article assessed a Bayesian inference application in order to estimate a stochastic cost frontier considering temporal efficiency dynamics. Taking this point into consideration is essential, since studies carried out to assess power sector efficiency have neglected the fact that part of efficiency increases originate from scale gain due to market expansion, which occurs over time. The sample assessed herein is composed of panel data from 61 electric power utilities between 2003 and 2016. The results demonstrate that the tariff review is positively affected by distributor efficiency.     

Adjustment and unobserved heterogeneity in dynamic stochastic frontier models

Stochastic frontier models with autocorrelated inefficiency have been proposed in the past as a way of addressing the issue of temporal variation in firm-level efficiency scores. They are justified using an underlying model of dynamic firm behavior. In this paper we argue that these models could have radically different implications for the expected long-run efficiency scores in the presence of unobserved heterogeneity. The possibility of accounting for unobserved heterogeneity is explored. Random- and correlated random-effects dynamic stochastic frontier models are proposed and applied to a panel of US electric utilities.     

Maximum likelihood estimation of stochastic frontier models by the Fourier transform

The paper is concerned with several kinds of stochastic frontier models whose likelihood function is not available in closed form. First, with output-oriented stochastic frontier models whose one-sided errors have a distribution other than the standard ones (exponential or half-normal). The gamma and beta distributions are leading examples. Second, with input-oriented stochastic frontier models which are common in theoretical discussions but not in econometric applications. Third, with two-tiered stochastic frontier models when the one-sided error components follow gamma distributions. Fourth, with latent class models with gamma distributed one-sided error terms. Fifth, with models whose two-sided error component is distributed as stable Paretian and the one-sided error is gamma. The principal aim is to propose approximations to the density of the composed error based on the inversion of the characteristic function (which turns out to be manageable) using the Fourier transform. Procedures that are based on the asymptotic normal form of the log-likelihood function and have arbitrary degrees of asymptotic efficiency are also proposed, implemented and evaluated in connection with output-oriented stochastic frontiers. The new methods are illustrated using data for US commercial banks, electric utilities, and a sample from the National Youth Longitudinal Survey.     

Japanese and U.S. interventions in the yen/U.S. dollar market: estimating the monetary authorities’ reaction functions

This paper uses recently released official data on the foreign exchange market interventions of the Japanese monetary authorities in the yen/U.S. dollar market during the period 1991–2001 to examine the motivation for the intervention policy. We also compare the Japanese intervention policy with the U.S. intervention policy. Our results suggest that the Japanese authorities regularly responded to deviations of the yen/U.S. dollar exchange rate from a short-term and a long-term exchange rate target. By contrast, the U.S. authorities intervened only occasionally and seemed to have merely reinforced Japanese interventions.     

U.S.-Japan automobile trade: A Bayesian test of a product life cycle

Using Bayesian procedures for gradual switching regression models we estimate shifts in production and demand functions. We find that by 1970 the Japanese automobile industry had attained an efficient mass production process and was ready to meet the shift in the U.S. demand for Japanese cars.     

An application of data envelopment analysis to evaluate the efficiency level of the operational cost of Brazilian electricity distribution utilities

This paper shows efficiency indices for 60 Brazilian electricity distribution utilities. The efficiency scores are gauged by three DEA models. For both models, these quantities are evaluated under different contexts. One treats with respect to the regulator perspective. The others examine an alternative approach based on cluster analysis and restrictions on factor weights. It is worth pointing out that these developments can reduce the information asymmetry and improve the regulator's skill to compare the performance of the utilities, a fundamental in incentive regulation schemes.     

Management Accounting Practices in the U.S. and Japan: Comparative Survey Findings and Research Implications*

In recent years, the success of Japanese firms in the global market has prompted efforts to understand the sources of their competitive advantage. It has been suggested that one such source is the Japanese firms' management accounting systems, and a number of articles have claimed that important differences do exist between U.S. and Japanese firms in this area. However, these claims have tended to be supported by anecdotal, rather than systematic, evidence. The objective of this article is to contribute further insights into similarities and differences between U.S. and Japanese firms' management accounting practices. Exhaustive searches of published surveys in the U.S. and Japanese literatures (much of which is in Japanese) provided the basis for U.S.-Japan comparisons on six aspects of management accounting practices. In turn, these comparisons were used for deriving implications for future research. Two major limitations of extant research and, thus, directions for future research are identified. First, future research needs to go beyond the simple use or non-use of techniques to investigate more detailed aspects of technique use. Second, since management accounting is only one component of a firm's total management system, attention also needs to be devoted to the organizational context, process, and goals of a firm's management accounting practices.     

The efficiency of TVA power distributors

This study utilizes linear programming and regression for identifying distributors of Tennessee Valley Authority (TVA) power that deviate from the normal efficiency levels and for listing distributor attributes that affect these efficiencies. The conclusions are: (1) most TVA distributors are reasonably efficient; however, they appear to be more efficient with respect to technical and scale measures than with respect to cost and allocation measures; (2) TVA distributors tend to over use labor and capital, but utilize purchased wholesale power appropriately; (3) TVA distributors display increasing, decreasing and constant returns to scale, depending on observation; and (4) firm attributes that impact efficiencies the most are: distribution of utilities other than electricity, state location, service area size, the relative amount of power distributed to small customers, the ratio of small customers to large customers and the total amount of electrical energy distributed. © 1998 John Wiley & Sons, Ltd.     

Scale economies in electricity distribution: a semiparametric analysis

We estimate the costs of distributing electricity using data on municipal electric utilities in Ontario, Canada for the period 1993–5. The data reveal substantial evidence of increasing returns to scale with minimum efficient scale being achieved by firms with about 20,000 customers. Larger firms exhibit constant or decreasing returns. Utilities which deliver additional services (such as water/sewage), have significantly lower costs, indicating the presence of economies of scope. Our basic specifications comprise semiparametric variants of the translog cost function where output enters non‐parametrically and remaining variables (including their interactions with output) are parametric. We rely upon non‐parametric differencing techniques and extend a previous differencing test of equality of non‐parametric regression functions to a panel data setting. Copyright © 2000 John Wiley & Sons, Ltd.     

Recent evidence on determinants of per residential customer electricity consumption in the U.S.: 2001-2005

This empirical study seeks to provide empirical evidence identifying key factors that have influenced per residential customer electricity consumption in the U.S. during recent years. This empirical analysis takes the form of P2SLS (panel two-stage least squares) estimations. State-level data are adopted for the five-year period from 2001 through 2005. The P2SLS findings indicate that the annual consumption of electricity per residential customer is an increasing function of the annual number of cooling degree days, real per capita personal disposable income, and the real unit price of natural gas. Annual per residential customer electricity consumption is also found to be a decreasing function of the real unit price of electricity and the extent of usage of natural gas for residential heating, as well as the degree to which each state has pursued energy efficiency policies. Finally, said consumption is also found to be positively a function of a control variable measuring peak summer electricity generating capacity.     

The economic performance of Swiss drinking water utilities

This paper measures the performance in terms of costs of Swiss drinking water utilities accounting for environmental factors. We estimate a translog stochastic variable cost frontier using two different techniques on an unbalanced panel of 141 water distribution utilities over the years 2002–2009, for a total of 745 observations. Results show that exogenous factors have an impact on variable cost. More precisely, we find that the share of pumped over total extracted water, population density, altitude and meteorological factors (maximum 30 days temperature and extreme precipitation events) have a significant impact on variable cost. Likelihood ratio tests emphasize the importance to include observed heterogeneity in the estimations. Efficiency rankings provided by models accounting for exogenous factors and their counterparts without them are however relatively similar. On the contrary, the efficiency ranks differ strongly between alternative estimation techniques. In assessing the economic performance of utilities, the most important choice thus seems to be about the way unobserved heterogeneity is treated.     

Profitability and Efficiency in the U.S. Life Insurance Industry

This study explores the relationship between cost inefficiency and profitability in the U.S. life insurance industry. Earnings have particular importance to life insurance companies because earnings and capital determine the viability of the insurer. Since the life insurance industry is mature and highly competitive, cost efficiency may be the main driver of profitability. We derive cost efficiency using the stochastic frontier (SF) method allowing the mean inefficiency to vary with organizational form and the outputs. In addition, the estimation of the cost efficiency measure takes into account the underlying accounting concepts that generate the data and, consequently, the product mix (long-duration policies vs. short-duration policies) to avoid distorted estimates. Our results suggest that cost inefficiency in the life insurance industry is substantial relative to earnings, and that inefficiency is negatively associated with profitability measures such as the return on equity. The analysis of inefficiency and organizational form suggest that stock (shareholder-owned) companies are as efficient and profitable as mutual (policyholder-owned) companies.