<?xml version="1.0" encoding="UTF-8"?>
<records>
<record>
<language>eng</language>
<publisher>Science and Education Publishing</publisher>
<journalTitle>International Journal of Econometrics and Financial Management</journalTitle>
<publicationDate>2014-01-10</publicationDate>
<volume>2</volume>
<issue>1</issue>
<startPage>7</startPage>
<endPage>21</endPage>
<doi>10.12691/ijefm-2-1-2</doi>
<publisherRecordId>IJEFM2014212</publisherRecordId>
<documentType>article</documentType>
<title language="eng">Economic Growth and International R&amp;D Cooperation: A Panel Granger Causality Analysis</title>
<authors>
<author>
<name>Tarek Sadraoui</name>
<email>tarek.sadraoui@gmail.com</email>
<affiliationId>1</affiliationId>
</author>
<author>
<name>Tarek Ben Ali</name>
<affiliationId>2</affiliationId>
</author>
<author>
<name>Bechir Deguachi</name>
<affiliationId>2</affiliationId>
</author>

</authors>
<affiliationsList>
<affiliationName affiliationId="1">Quantitative Method, Higher Institute of business Administration, Gafsa, Tunisia</affiliationName>
<affiliationName affiliationId="2">Economic Sciences, Higher Institute of business Administration, Gafsa, Tunisia</affiliationName>

</affiliationsList>
<abstract language="eng">This paper will investigate the Granger causality between R&amp;D cooperation and economic growth in 32 industrial and developing countries from 1970 to 2012. We use an innovative econometric method which is based on a panel test of the Granger non causality hypothesis. Using a new method to evaluate causality in a heterogeneous panel, we find that the causal relationship from R&amp;D cooperation to economic growth is homogeneous among the panel. However, we find strong evidence of a heterogeneity of the causal relationship from economic growth to R&amp;D cooperation in our sample. Results provide support for a robust causality relationship from economic growth to R&amp;D cooperation. On the contrary, the non causality hypothesis from R&amp;D cooperation to economic growth can't be rejected in most of the cases. However, these results only imply that, if such a relationship exists, it can't be easily identified in a simply bi-variate Granger causality test.</abstract>
<fullTextUrl format="pdf">http://pubs.sciepub.com/ijefm/2/1/2/ijefm-2-1-2.pdf</fullTextUrl>
<keywords language="eng">Granger Causality Testsdynamic panel dataR&amp;D cooperationeconomic growthspillovers</keywords>
</record>
</records>
