Using data envelopment analysis to support the design of process improvement interventions in electricity distribution

A significant number of studies have documented the use of Data Envelopment Analysis (DEA) for efficiency measurement in the context of electricity distribution, particularly at the level of the distribution utilities. However, their aim has been predominantly descriptive and classificatory, without any attempt to ‘open’ the black box of the transformation process. In contrast, our aim is to explore the potential of DEA to contribute to the design of effective process improvement interventions within a distribution utility. In particular, in this paper, we study an important question within the context of DEA analysis: that is, to investigate whether differences in efficiency can be attributed to a particular managerial programme or design feature. We use two different methodologies to undertake this type of analysis. Firstly, we apply Mann–Whitney rank statistics to the scores obtained from DEA in order to evaluate the statistical significance of the differences observed between an intervention programme and its control group programme. Secondly, we undertake dynamic analysis with the Malmquist Productivity Index in order to study the impact of the introduction of a new technology on a group of units. Our case study focuses on the performance evaluation of medium-voltage power lines belonging to one of the service areas in the Public Electricity Distribution System in Portugal. The results from our case study show that the application of DEA for process improvement interventions has great potential and should be explored in other contexts

The effects of environmental regulation on the efficiency of distribution electricity companies in Spain

The objective of this work is to detect what problems of inefficiency electricity distribution companies have, in order to disseminate this information and to allow distributors and public agencies to be more precise in calculating their costs. In turn, this will have an indirect impact on the price of the kilowatt in order to try to reduce its volatility. It should be noted that the volatility of the kilowatt price is mainly due to distribution costs and more specifically to access tolls. In the present paper, knowing that the distribution activity is a regulated activity, the efficiency in the electricity distribution companies will be studied. To this end, a study has been carried out on the efficiency of the main electricity distribution companies in Spain (Endesa, Iberdola, Union Fenosa, EDP and Viesgo) during the period of 2006-2015. The technique used was the Multi-period efficiency measurement in Data Envelopment Analysis, an input-oriented model at constant scales, working with panel data. The conclusions in this paper indicate that Spanish electricity distribution companies could improve their levels of efficiency if they improve the use of some inputs. This analysis demonstrates that overcapacity and deficit tariff have a negative influence on the efficiency level. Finally, this paper is useful as it shows that regulation again plays an essential role in regulated activities, requiring a commitment on the part of the State in order to improve efficiency in regulated activitie

Energy use and related emissions of the UK residential sector: quantitative modelling and policy implications

Reducing energy demand and carbon emissions from the UK housing stock through efficiency improvements is the focus of policy interest. The 2008 UK Climate Change Act set legally binding targets of an 80% reduction in greenhouse gas emissions against a 1990 baseline. The majority of emissions in the residential sector are carbon dioxide emissions arising from energy used for heating homes and water, cooking, lighting and electrical appliances. The sector s contribution to total UK emissions is significant and therefore reducing energy use in homes is an important factor if the UK is to meet its targets. In this research an initial survey of studies of the residential sector has been conducted to review factors considered to influence energy use and related emissions in UK housing. Further review identified energy and climate change policy instruments and structural change in the energy supply sector between 1970 and the present. A subsequent time-line of policy and events describes the changing, historical policy landscape related to energy efficiency improvements in the sector. As a result of these reviews, a need to better understand how householders have responded to technical energy efficiency improvements in housing, and the influence of social and economic factors, was identified as a research gap. In order to model householders historical behaviour Data Envelopment Analysis (DEA) was identified as an innovative approach for this field of research as a potential means to measure sector efficiency in a new way. The analysis has two stages. In the first, DEA is used to measure the relative efficiency with which the UK housing sector has managed its energy use and related emissions to deliver energy services such as space heating and lighting to householders. In the second stage, multiple regressions are used to examine whether the variability over time in the efficiency measure can be explained by policy interventions, energy market developments, and economic and social factors. DEA is a method for modelling the relative performance efficiency with which an observed sample converts measurable inputs to quantitative outputs. In this research, samples consist of annual observations of the UK housing stock, using data largely taken from DECC s UK housing energy fact file. An efficiency frontier of performance enveloping the observed sample points as closely as possible is constructed through DEA mathematical programming. The core of the analysis lies in identifying relevant quantitative input and output measures from available data. A range of measures of comfort and energy service levels to represent energy service outputs, and household energy and emissions data to represent inputs are examined in the analysis. The result is a timeline of efficiency performance that can be related to socio-economic change and the history of policy interventions. The analysis shows that the efficiency of the UK housing stock to manage its energy use and related emissions has not followed the steady upward trend that might have been expected from technical innovation. There is evidence of rebound effects over time, with householders behaviour in response to technical efficiency improvements acting to raise comfort levels rather than lower energy usage. Nevertheless, statistically significant roles can be identified for factors such as income, price and tenure which have implications for policy design and control and lead to a number of policy recommendations

Getting Smart (Grids): An Efficiency Frontier Assessment

Information and communication technology are reshaping the electricity industry, with economic, environmental, and regulatory consequences. Smart grids allow the growing integration of renewable energy sources, a horizontalization of the roles of producers and consumers, a flatter demand profile which save investments intended to supply peaks of consumption, idle at great extent off-peaks. On the other hand, smart grids require important investments for modernizing technology. Concerning our objectives, firstly, we seek to understand the conceptual consequences of the irruption of smart grids on the electricity sector, and its importance for renewables adoption. Secondly, we discuss policies and regulations needed to accelerate the transformation of the electricity network in a smart grid, and to increase the renewables? share on total energy. Thirdly, our empirical approach runs a Data Envelopment Analysis (DEA) model to estimate the efficiency gains in the transition between traditional and smart grids. Our results show the efficiency levels of those countries whose objective is to deliver electricity with high levels of quality of services, and at the same time, using more renewables (with fewer carbon emissions), and low cost of supply. We conclude discussing the implications of our empirical model, the limitations, and next stages in polishing the results.Fil: Ferro, Gustavo Adolfo. Universidad del Cema; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Romero, Carlos Adrián. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Interdisciplinario de Economía Política de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto Interdisciplinario de Economía Política de Buenos Aires; ArgentinaFil: Ramos, Maria Priscila. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Interdisciplinario de Economía Política de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto Interdisciplinario de Economía Política de Buenos Aires; ArgentinaLV Reunión Anual Asociación Argentina de Economía PolíticaCiudad Autónoma de Buenos AiresArgentinaAsociación Argentina de Economía Polític

Institutions and Performance of Regulated Firms: Evidence from Electric Utilities in the Indian States

It is commonly accepted that institutions influence economic development of countries. But, can we also trace the effect of institutional endowment to specific sectors and regions of a country? There is a significant gap in knowledge and evidence of this issue in the literature. This paper examines this effect in the Indian electricity distribution sector and explores the influence of state-level institutional quality and economic factors on the performance of network utilities in India. Since the 1990s, India has adopted reform steps to improve the efficiency of its electricity sector. However, there remain performance differences among the utilities. We examine the performance of 52 electricity distribution utilities in 24 Indian states for the period from 2006-07 to 2011-12. The findings confirm that the quality of institutions and state-wide economic development affect the performance of the electricity distribution utilities in different states. Additionally, we simulate the cost savings from utilities� performance improvements linked with institutional enhancements. The results indicate the need to strengthen the institutions, for example through regulatory agencies reform to improve the performance of the sector

Social services, human capital, and technical efficiency of smallholders in Burkina Faso:

This study applies regression analysis as well as a non-parametric method to survey data from Burkina Faso to analyze the role of human capital in explaining technical efficiency in smallholder agricultural production. Exploiting the panel nature of the data and explicitly treating human capital inputs as endogenous, a two-stage estimation method is used for the analysis of determinants of data envelopment analysis (DEA) technical efficiency scores in a double-bootstrap procedure. Findings suggest that the impact of human capital on technical efficiency differs strongly by gender. Strong positive returns exist for education of females, whereas male education is associated with higher inefficiency. Body mass index of adult females also positively relates to technical efficiency. At the community level, presence of a clinic, connection to the electrical grid, presence of a secondary school, and year-round accessibility of the community are found to be vital for human capital formation.Human capital, non-parametrics, public services, Smallholders,

Efficiency and Productivity Changes in the Indian Food Processing Industry: Determinants and Policy Implications

This paper analyses efficiency and productivity changes in 12 broad segments of food manufacturing industries during pre and post liberalisation periods, covering a period of two decades, from 1980-1981 to 2001-2002. The nonparametric Data Envelopment Analysis (DEA) approach is used to compute the Malmquist Total Factor Productivity (TFP) change, which has been further decomposed into efficiency and technical change. This paper also evaluates the performance of major inputs used in the food processing industry and identifies the causes of inefficiency across various segments. Based on the findings, the paper gives suggestions that can be used by policy makers and food processors in making decisions regarding various technical and managerial aspects to improve productivity and efficiency.Technical Efficiency, Total Factor Productivity (TFP), Food Processing, Data Envelopment Analysis (DEA), India, Productivity Analysis, Research Methods/ Statistical Methods, Q10, Q11, Q13,

Quantifying the effects of modelling choices on hospital efficiency measures: A meta-regression analysis

It has often been argued that the results of efficiency analyses in health care are influenced by the modelling choices made by the researchers involved. In this paper we use meta-regression analysis in an attempt to quantify the degree to which modelling factors influence efficiency estimates. The data set is derived from 253 estimated models reported in 95 empirical analyses of hospital efficiency in the 22-year period from 1987 to 2008. A meta-regression model is used to investigate the degree to which differences in mean efficiency estimates can be explained by factors such as: sample size; dimension (number of variables); parametric versus non-parametric method; returns to scale (RTS) assumptions; functional form; error distributional form; input versus output orientation; cost versus technical efficiency measure; and cross-sectional versus panel data. Sample size, dimension and RTS are found to have statistically significant effects at the 1% level. Sample size has a negative (and diminishing) effect on efficiency; dimension has a positive (and diminishing) effect; while the imposition of constant returns to scale has a negative effect. These results can be used in improving the policy relevance of the empirical results produced by hospital efficiency studies.