César Lenin Navarro-Chávez, Odette V. Delfín-Ortega and Atzimba Díaz-Pulido
The purpose of this paper is to determine the level of efficiency in the Mexico electricity industry during the 2008-2015 period.
Abstract
Purpose
The purpose of this paper is to determine the level of efficiency in the Mexico electricity industry during the 2008-2015 period.
Design/methodology/approach
A data envelopment analysis (DEA) network model is proposed, where technical efficiency is calculated. A factorial analysis using the principal components method was carried out first. Later, latent dimensions were calculated through the variance criterion and sedimentation graph, where four components were presented. After performing factor rotation, the nodes were grouped: generation, transmission, distribution and sales. It proceeded later to structure a DEA network model.
Findings
From the calculations made, the most efficient node was the transmission, while the North Gulf and East Center divisions were the only efficient.
Research limitations/implications
The limitations presented in this study were data collection.
Practical implications
The implications that were observed were that through the results obtained, proposals can be made to the Mexican electricity sector to improve each of the nodes, and have a better operation and reduce energy losses.
Social implications
The social impact of this type of study is that based on the results obtained, they present the basis for improving energy policy and users can have a better service that has better quality and coverage.
Originality/value
The originality of this study consists in the use of two methodologies, factor analysis methodology and DEA network model.
Details
Keywords
César Lenin Navarro-Chávez, Odette V. Delfin-Ortega and Enrique Guardado Ibarra
The purpose of this paper is to determine the level of technical efficiency of the main oil countries worldwide during the period 2010–2017.
Abstract
Purpose
The purpose of this paper is to determine the level of technical efficiency of the main oil countries worldwide during the period 2010–2017.
Design/methodology/approach
The use of the network data envelopment analysis model (NDM) is proposed, in which the technical efficiency of each node is calculated. For the development of the model, three main nodes were identified: exploration and production, industrial transformation and commercialization. Finally, NDM for the international oil industry will be structured, and efficiency will be calculated at the global level and at each node.
Findings
The analysis of the results of the application of the NDM raised that the most efficient node was exploration and production, whereas the efficient oil countries were the USA, France, the United Arab Emirates and Angola.
Research limitations/implications
The limitation presented in this investigation was the availability of data.
Practical implications
The practical implications of this type of study are that, through the results obtained, proposals can be made in the oil industry to improve each of the nodes or areas in which efficiency was not reached, as well as make better use of the resources available to this industry in each country.
Social implications
The social implications of this study are the basis for developing energy policies in the oil industry to help improve the quality of life of users.
Originality/value
The value and originality of this study is based on the joint implementation of the NDM methodology.
Details
Keywords
This paper introduces a revenue efficiency DEA model with weight restrictions and variable returns to scale, designed to evaluate the efficiency of 38 ports in the Asia–Pacific…
Abstract
Purpose
This paper introduces a revenue efficiency DEA model with weight restrictions and variable returns to scale, designed to evaluate the efficiency of 38 ports in the Asia–Pacific Economic Cooperation (APEC) region.
Design/methodology/approach
The methodology used is the analysis of the data envelope, where the technical, cost and allocative efficiency is calculated with the incorporation of weight restrictions aimed at preventing the generation of unrealistically high efficiency scores.
Findings
The findings indicate that the implementation of weight restrictions successfully eliminated outliers. However, there was a general decrease in efficiency across three key measures: technical, revenue and allocative. In the realm of allocative efficiency, none of the ports reached a perfect score.
Practical implications
The major contribution of this research is that despite numerous studies on port efficiency utilizing DEA methodology, none have integrated weight restrictions into overall efficiency assessments. Therefore, the study’s objective is to gauge revenue efficiency, dissected into technical and allocative efficiency, across 38 ports in the APEC region. This is achieved through the implementation of weight restrictions alongside variable returns to scale.
Originality/value
The major contribution of this research is that despite numerous studies on port efficiency utilizing DEA methodology, none have integrated weight restrictions into overall efficiency assessments.