Author : Luis Andres
Publisher : World Bank Publications
ISBN 13 :
Total Pages : 57 pages
Book Rating : 4./5 ( download)
Book Synopsis Assessing the Governance of Electricity Regulatory Agencies in the Latin American and Caribbean Region: a Benchmarking Analysis by : Luis Andres
Download or read book Assessing the Governance of Electricity Regulatory Agencies in the Latin American and Caribbean Region: a Benchmarking Analysis written by Luis Andres and published by World Bank Publications. This book was released on 2007 with total page 57 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: This paper focuses on an evaluation and benchmarking of the governance of regulatory agencies in the electricity sector in Latin American Countries (LAC). Using a unique database, we develop an index of regulatory governance and rank all the agencies in the LAC countries. The index is an aggregate number of the evaluation of four key governance characteristics: autonomy, transparency, accountability, and regulatory tools, including not only formal aspects of regulation but also indicators related to actual implementation. Based on 18 different indexes, we analyze the positions of agencies with regard to different aspects of their regulatory governance, considering not only performance in each variable but also scores in the different components of each category. This evaluation allows for the identification of particular country shortcomings regarding governance, and indicates needed improvements. Although the region shows an overall good governance design of their regulatory agencies, the implementation of the independent regulator model still faces several challenges. This is particularly evident in political autonomy and in the informal aspects of governance, where the region shows the largest number of countries with the lowest scores. Trinidad and Tobago and Brazil show the best results and Ecuador, Honduras, and Chile the poorest performances. The rest of the countries vary according to the different indexes. We give each governance variable equal weights and positively test the robustness of our approach using Principal Component Analysis.