Article ID: | iaor20062159 |
Country: | Netherlands |
Volume: | 40 |
Issue: | 2 |
Start Page Number: | 156 |
End Page Number: | 167 |
Publication Date: | Jun 2006 |
Journal: | Socio-Economic Planning Sciences |
Authors: | Ramanathan Ramakrishnan |
Keywords: | statistics: data envelopment analysis |
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.