Evaluating the comparative performance of countries of the Middle East and North Africa: A DEA application [An article from: Socio-Economic Planning Sciences]
Book Details
Author(s)R. Ramanathan
PublisherElsevier
ISBN / ASINB000RR8HA6
ISBN-13978B000RR8HA8
MarketplaceUnited Kingdom 🇬🇧
Description
This digital document is a journal article from Socio-Economic Planning Sciences, published by Elsevier in 2006. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
Over the past few decades, countries of the Middle East and North Africa (MENA) have achieved varying levels of economic development. In this paper, data envelopment analysis (DEA) is employed to study the comparative performance of selected MENA countries. For 1999, our DEA identified four of the 18 countries studied as the most efficient: Bahrain, Jordan, Kuwait, and the United Arab Emirates. All are from the Middle East, with three being members of the Gulf Cooperation Council (GCC). Yemen was rated as the least efficient of all countries considered in the analysis. A regression analysis showed that the efficiency scores have a significant relationship with the richness of the countries (in terms of GNP per capita) but do not have a significant relationship with the size of the countries (in terms of population). Further, a time-series analysis using the Malmquist Productivity Index (MPI) indicated that the MENA countries achieved higher values of desirable attributes, and lower values of undesirable attributes, in 1999 compared to 1998. During 1998-1999, technology change contributed more to the improvement of MPI than did technical efficiency change.
Description:
Over the past few decades, countries of the Middle East and North Africa (MENA) have achieved varying levels of economic development. In this paper, data envelopment analysis (DEA) is employed to study the comparative performance of selected MENA countries. For 1999, our DEA identified four of the 18 countries studied as the most efficient: Bahrain, Jordan, Kuwait, and the United Arab Emirates. All are from the Middle East, with three being members of the Gulf Cooperation Council (GCC). Yemen was rated as the least efficient of all countries considered in the analysis. A regression analysis showed that the efficiency scores have a significant relationship with the richness of the countries (in terms of GNP per capita) but do not have a significant relationship with the size of the countries (in terms of population). Further, a time-series analysis using the Malmquist Productivity Index (MPI) indicated that the MENA countries achieved higher values of desirable attributes, and lower values of undesirable attributes, in 1999 compared to 1998. During 1998-1999, technology change contributed more to the improvement of MPI than did technical efficiency change.
![ABC inventory classification with multiple-criteria using weighted linear optimization [An article from: Computers and Operations Research]](https://www.ebooknetworking.net/books/B00/0RR/medB000RR7R5M.jpg)
![Data envelopment analysis for weight derivation and aggregation in the analytic hierarchy process [An article from: Computers and Operations Research]](https://www.ebooknetworking.net/books/B00/0RR/medB000RR8ZC6.jpg)
![A multi-factor efficiency perspective to the relationships among world GDP, energy consumption and carbon dioxide emissions [An article from: Technological Forecasting & Social Change]](https://www.ebooknetworking.net/books/B00/0RR/medB000RR9HF0.jpg)
