The low cost of quality improvements in the electricity distribution sector of Brazil

被引:15
|
作者
Corton, Maria Luisa [1 ]
Zimmermann, Aneliese [2 ]
Phillips, Michelle Andrea [3 ]
机构
[1] Univ S Florida, Kate Tiedemann Coll Business, 140 7th Av South PNM106C, St Petersburg, FL 33701 USA
[2] Elektro Eletricidade & Serv, Rua Ary Antenor Souza 321, Sao Paulo, Brazil
[3] Univ Florida, Warrington Coll Business, Publ Util Res Ctr, POB 117142, Gainesville, FL 32611 USA
关键词
Quality regulation; Stakeholder feedback; Dynamic cost model; GMM estimation; INCENTIVE REGULATION; DISTRIBUTION COMPANIES; GENERALIZED-METHOD; SUPPLY SECURITY; SERVICE QUALITY; DYNAMIC-MODELS; PANEL DATA; SPECIFICATION; EFFICIENCY; NETWORKS;
D O I
10.1016/j.enpol.2016.07.052
中图分类号
F [经济];
学科分类号
02 ;
摘要
We analyze the impact of introducing output-based incentives in the price-tap regulatory regime of the Brazilian electricity distribution sector. We focus on the trade-off between operating costs and quality improvement, hypothesizing a positive relationship. Operating costs include maintenance and repair expenses. The regulator sets limits for service continuity and non-technical energy losses in each regulatory period. Service continuity refers to the average length of interruptions in electricity distribution. Non-technical losses refer to losses due to factors specific to the distribution segment. Quality incentives' include peer-pressure and penalties/rewards for compliance with minimum quality standards. We model operating costs using a GMM framework to acknowledge endogeneity,of variables. The model is dynamic given the inclusion of regulatory lags to recognize past cost behavior. Findings reveal a small trade-off between costs and quality. We conclude that quality improvements are not costly relative to the potential savings from complying with quality standards. We also find that the impact on operating costs is larger when energy losses increase compared to the cost effect due to increases in duration of outages. These findings suggest areas of attention in managerial decision making, and serve as valuable information to the regulator in tailoring quality incentives for this sector. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:485 / 493
页数:9
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