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Service Quality In Electricity Distribution In Brazil: A Malmquist Approach

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  • Alexandre MARINHO
  • Marcelo RESENDE

Abstract

The paper undertakes a dynamic analysis for service quality in the electricity distribution in Brazil between 2010 and 2014 based on Malmquist indexes constructed upon Data Envelopment Analysis (DEA) distance functions. The motivation for the less usual consideration of efficiency frontiers for service quality, that does not rely on traditional inputs and outputs but rather on quality indicators, builds on previous static applications in the context of telecommunications. The analysis considers undesirable technical indicators for quality as inputs and desirable consumer satisfaction indicators for quality as outputs in the efficiency frontier analysis. The bootstrap‐corrected Malmquist indexes indicated service quality deterioration in 38.1 per cent, quality stagnation in 40.5 per cent and quality improvement only in 21.4 per cent of the cases. When one decomposes the Malmquist index, the evidence does not suggest relevant frontier shifts and indicates a dominant role for the catch‐up effect. Finally, Malmquist indexes are regressed against variables that may portray heterogeneities, such as firm size, service area, density, ownership and regional dummies in terms of a well‐known two‐stage procedure. The mostly weak significance results reinforce the plausibility of the initial analysis.

Suggested Citation

  • Alexandre MARINHO & Marcelo RESENDE, 2019. "Service Quality In Electricity Distribution In Brazil: A Malmquist Approach," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 90(4), pages 687-712, December.
    • Handle: RePEc:bla:annpce:v:90:y:2019:i:4:p:687-712
    DOI: 10.1111/apce.12241
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    Cited by:

    1. Ryota Nakatani, 2023. "Productivity drivers of infrastructure companies: Network industries utilizing economies of scale in the digital era," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 94(4), pages 1273-1298, December.
    2. Yuan, Peng & Pu, Yuran & Liu, Chang, 2021. "Improving electricity supply reliability in China: Cost and incentive regulation," Energy, Elsevier, vol. 237(C).
    3. Nakatani, Ryota, 2022. "Productivity drivers of infrastructure companies: network industries to maximize economies of scale in the digital era," MPRA Paper 115531, University Library of Munich, Germany.
    4. Han, Yongming & Lou, Xiaoyi & Feng, Mingfei & Geng, Zhiqiang & Chen, Liangchao & Ping, Weiying & Lu, Gang, 2022. "Energy consumption analysis and saving of buildings based on static and dynamic input-output models," Energy, Elsevier, vol. 239(PC).
    5. Resende, Marcelo & Cardoso, Vicente, 2019. "Mapping service quality in electricity distribution: An exploratory study of Brazil," Utilities Policy, Elsevier, vol. 56(C), pages 41-52.

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