Varieties of capitalism, innovation performance and the transformation of science into exported products: A panel analysis

Tariq H. Malik

Technological Forecasting and Social Change, 2017, vol. 118, issue C, 324-333

Abstract: This study addresses the outstanding question in comparative capitalism literature of whether Mixed Market Economies (MMEs) are always at a comparative disadvantage regarding innovation performance because of their assumed institutional incoherence (lack of institutional complementarities). Based on panel data for 26 OECD countries over 21years, we compare MMEs with Liberal Market Economies (LMEs) and Coordinated Market Economies (CMEs) in relation to four types of innovation outcomes (publications, patents, exports and transformation of science). The comparative analysis is conducted at both an integrated and a dyadic level. The integrated level of analysis compares different groups of countries. This study shows that MMEs are at a disadvantage regarding publications, patents and exports. However, MMEs perform better than LMEs and CMEs in the transformation of national science into exported products from high R&D intensity sectors. At the dyadic level of analysis, individual MMEs are compared with a typical LME (USA) and a typical CME (Germany). This comparison shows that some MMEs perform better than the USA and Germany. The evidence reduces support for the assumption that MMEs are always at a comparative disadvantage due to institutional incoherence. The findings indicate that institutional incoherence does not in itself inhibit innovation performance in high R&D intensity sectors.

Keywords: Varieties of capitalism; Mixed market economies (MMEs) and innovation; Innovation performance and exports; Transformation of national science; Military spending and technology spillover; Institutional incoherence and comparative advantage (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:118:y:2017:i:c:p:324-333

DOI: 10.1016/j.techfore.2017.02.032

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