Original Research
Does the national innovation system spur economic growth in Brazil, Russia, India, China and South Africa economies? Evidence from panel data
Submitted: 13 August 2016 | Published: 22 January 2018
About the author(s)
Brima Sesay, School of Economics, Wuhan University of Technology, ChinaZhao Yulin, School of Economics, Wuhan University of Technology, China
Fang Wang, School of Economics, Wuhan University of Technology,, China
Abstract
The question as to whether the national innovation system (NIS) plays a significant positive role in influencing economic growth has been intensely debated by academics as well as policy analysts. The main controversy, however, is the fact that the ongoing empirical evidences on the relationship between innovation and economic growth are still mixed. The aim of this paper is to provide further evidence on the relationship between the NIS and economic growth using consistent and reliable data from a sample of emerging economies (Brazil, Russia, India, China and South Africa [BRICS]). The research has a BRICS focus and constructs NIS using historical panel data set for the main variables, that is, university enrolment rate for science and engineering students, government research and development expenditure, high-tech export and the enclosure of control variables covering the period 2000Q1–2013Q4. The study employed a dynamic panel estimation technique with a view of evaluating the relative impact of the NIS on economic growth in BRICS. The results revealed that the NIS as a whole has a positive effect on economic growth in BRICS economies. An important policy implication emerging from this study is that extra efforts are needed by emerging economies to promote the development of a NIS so as to explore the potential growth-inducing effects of a well-functioning NIS. Consequently, findings from this study have offered some persuading indicators for BRICS economies to explore the development of a NIS as a potential opportunity to speed up their economic growth.
Keywords
Metrics
Total abstract views: 6114Total article views: 6624