Exploring the link between research and economic growth: an empirical study of China and USA

Exploring the link between research and economic growth: an empirical study of China and USA In this paper, we explore the link between scientific and technical research and economic growth in China and USA over the sample period 1981–2012 using the extended Cobb–Douglas model with capital per worker and the quantity of scientific and technical journal articles (research publications) per worker. We examine the cointegration relationship and present the short-run and long-run results using the autoregressive distributed lag bounds procedure. Further, we examine the direction of causality between research publications per worker results and economic growth variables using the Toda and Yamamoto (J Econom 66(1–2):225–250, 1995) procedure. Our results indicate for both countries research publications per worker positively influence the output per worker both in the short-run and the long-run. The causality results for China indicate a bi-directional causality between research publications per worker and output per worker, duly emphasizing the mutually reinforcing effect. In case of USA, we note a unidirectional causation output per worker to research publications per worker indicating that output Granger cause research publications. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

Exploring the link between research and economic growth: an empirical study of China and USA

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Publisher
Springer Netherlands
Copyright
Copyright © 2015 by Springer Science+Business Media Dordrecht
Subject
Social Sciences; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-015-0191-3
Publisher site
See Article on Publisher Site

Abstract

In this paper, we explore the link between scientific and technical research and economic growth in China and USA over the sample period 1981–2012 using the extended Cobb–Douglas model with capital per worker and the quantity of scientific and technical journal articles (research publications) per worker. We examine the cointegration relationship and present the short-run and long-run results using the autoregressive distributed lag bounds procedure. Further, we examine the direction of causality between research publications per worker results and economic growth variables using the Toda and Yamamoto (J Econom 66(1–2):225–250, 1995) procedure. Our results indicate for both countries research publications per worker positively influence the output per worker both in the short-run and the long-run. The causality results for China indicate a bi-directional causality between research publications per worker and output per worker, duly emphasizing the mutually reinforcing effect. In case of USA, we note a unidirectional causation output per worker to research publications per worker indicating that output Granger cause research publications.

Journal

Quality & QuantitySpringer Journals

Published: Apr 4, 2015

References

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