Reference Models and Incentive Regulation of Electricity Distribution Networks: An Evaluation of Sweden’s Network Performance Assessment Model (NPAM)

The world-wide electricity sector reforms have led to a search for alternative and innovative approaches to regulation to promote efficiency improvement in the natural monopoly electricity networks. A number of countries have used incentive regulation models based on efficiency benchmarking of the electricity network utilities. While most regulators have opted adopted parametric and non-parametric frontier-based methods of benchmarking some have used engineering designed ‘reference firm’ or ‘norm’ models for the purpose. This paper examines the incentive properties and other related aspects of the norm model NPAM used in regulation of distribution networks in Sweden and compares these with those of frontier-based benchmarking methods. We identify a number of important differences between the two approaches to regulation benchmarking that are not readily apparent and discuss their ramifications for the regulatory objectives and process

Incentive Regulation of Electricity Distribution Networks: Lessons of Experience from Britain

This paper reviews the recent experience of the UK electricity distribution sector under incentive regulation. The UK has a significant and transparent history in implementing incentive regulation in the period since 1990. We demonstrate the successes of this period in reducing costs, prices and energy losses while maintaining quality of service. We also draw out the lessons for other countries in implementing distribution sector reform. We conclude by discussing the place of incentive regulation of networks within the wider reform context, the required legislative framework, the need for appropriate unbundling, the importance of quality of service incentives, the regulatory information requirements and the role of sector rationalisation

Scor Quality Model Affecting Manufacturing Firm’s Supply Chain Quality Performance And The Moderating Effect Of Qms

The main objective of this study is hypothesis testing to explain the nature of the relationship between the independent variables (The SCOR quality model) and the dependent variable (Supply Chain Quality Performance) and moderated by (QMS). Objektif utama kajian ini adalah untuk menerangkan hubungan antara model SCOR kualiti dengan prestasi kualiti rantaian bekalan sesebuah firma dan QMS memoderasikan huungan model SCOR kualiti dengan prestasi kuality rantaian bekalan

Core Indicators for Determinants and Performance of Electricity Sector in Developing Countries

Since the early 1990s, substantial resources and effort have been spent on implementing market-oriented electricity reform in developing countries. Important sectoral, economic, and social dimensions are involved in electricity reform, but empirical analysis and evaluation have been of limited use for testing the economic rationale of reform and policy advice. This may partly be attributed to a lack of generally accepted and measured indicators for monitoring progress, impact and performance, unlike areas such as health, education, environment, sustainable development. In this paper we propose a set of indicators as a first step towards filling this gap and developing a coherent framework for studying electricity reform in developing countries covering resource and institutional endowments, key reform steps, market structure, performance, and various impacts.The World Bank Electricity Research Programme and the CMI Electricity Project (IR-45

What Turkey expects from logistics outsourcing ?

Copyright @ 2011 Yasar UniversityThe economies of the world have become increasingly interdependent, and organizations have come under tremendous pressure to maximize productivity and profitability. Creating value through outsourcing has emerged as a popular competitive strategy for firms of all sizes in all types of industries. The aim of this research is to investigate the use of third party logistics in Turkish companies from the users’ perspective to identify the types of logistics services outsourced, problems encountered in outsourcing these services, logistics costs, decision makers in outsourcing logistics activities, and information sources used in the decision-making process. A structured survey was selected as the tool for data collection. The field study involved face-to-face interviews with 204 companies out of top 500 companies ranked in terms of turnover that are registered with industrial associations and chambers of commerce in Turkey. Moreover, a decision support system based on Bayesian Causal Map is proposed for 3PLs in order to assist them in their service proposals for different sectors. This study is a first attempt to reveal and compare the outsourcing perception of the companies in different sectors, to expose the firms’ underlying motives as well as the respective importance of these motives for outsourcing logistics activities in Turkey. The use of Bayesian Causal Map based on the survey results provides an important guide to the 3PL providers to pick a suitable strategy and to prioritize their operational activities in different sectors in such a way to achieve a competitive advantage