Knowledge, technological convergence and economic growth: a dynamic panel data analysis of Middle East and North Africa and Latin America
Fatma M. Utku-İsmihan ()
Additional contact information
Fatma M. Utku-İsmihan: Middle East Technical University (METU) and MoFAL
Quality & Quantity: International Journal of Methodology, 2019, vol. 53, issue 2, No 10, 713-733
Abstract:
Abstract This paper aims to investigate the role of various knowledge indicators, such as research and development, information and communication technologies and trade, in the economic growth and convergence performance of 17 Middle East and North Africa (MENA) countries and 17 Latin American countries (LACs) during the 1980–2014 period, by utilizing dynamic panel data techniques like the pooled mean group estimation method. Our results indicate that knowledge variables seem to play an important role in the economic growth performances of both regions and, overall, there is a significant convergence among the countries in MENA and LACs. Nevertheless, our main finding is that the impact of the knowledge indicator in Latin American countries is weaker compared to the MENA region.
Keywords: Economic growth; Convergence; Knowledge; Productivity; Dynamic panel data; MENA and Latin America (search for similar items in EconPapers)
JEL-codes: O11 O33 O40 O47 O50 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://link.springer.com/10.1007/s11135-018-0785-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:53:y:2019:i:2:d:10.1007_s11135-018-0785-7
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135
DOI: 10.1007/s11135-018-0785-7
Access Statistics for this article
Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi
More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().