Abstract
The objective of this study is twofold. First, the author uses the Data Envelopment Analysis (DEA) to determine the technical efficiency of 42 African countries for the period 1992 to 2007. Second, the author evaluates the determinants of the technical efficiency index using the bootstrapped bias-corrected efficiency scores. The DEA analysis indicates that lower income economies in Africa have very low levels of efficiency and have low levels of energy use. On the other hand, upper-middle African income economies appear to be more efficient in using their resources than all other income groups. Bootstrap and truncated regression results show that improvements in governance, promotion of FDI, and information communication technologies are major drivers of technical efficiency. Therefore, a major focus of policies must be directed towards improving governance and increasing capital investment, including the adoption and deployment of modern technologies.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Productivity Management and Assessment Technologies
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
