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      Macroeconomic Determinants of Innovation: Evidence from Asian Countries

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      Global Business Review
      SAGE Publications

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          Abstract

          Innovation is fundamental to the process of an economy’s growth and is crucial for its survival in today’s dynamic world. Investing in innovation, therefore, is a requisite for developing and developed countries alike. The innovation revolution has been as manifesting as the Industrial Revolution. Yet, its patterns are unevenly distributed. While some regions have witnessed a phenomenal growth in the level of patenting activity, other regions have shown a decline in the innovative output. With this backdrop, the present article analyses various institutional and macroeconomic variables that impact the level of innovation for a set of 15 Asian countries. Using two-step system generalized method of moments (GMM) technique on a panel dataset for the period 2008–2017, the study examines the determinants of macroeconomic indicators on the level of innovation (as measured by the country’s patenting activity). The econometric results indicate that institutional quality, education and trade openness influence innovation favourably. Further, foreign direct investments have a negative impact on the level of innovation. A key finding of emerging from the analysis is the U-shaped relationship between financial development and innovation. Based on the results, the article concludes from a broad policy perspective.

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          Initial conditions and moment restrictions in dynamic panel data models

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            Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations

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              Another look at the instrumental variable estimation of error-components models

                Author and article information

                Contributors
                Journal
                Global Business Review
                Global Business Review
                SAGE Publications
                0972-1509
                0973-0664
                February 2023
                January 07 2020
                February 2023
                : 24
                : 1
                : 137-151
                Affiliations
                [1 ] Faculty of Management Studies, University of Delhi, New Delhi, Delhi, India.
                Article
                10.1177/0972150919885494
                edaa73e8-0563-4f4a-9bde-50f7bbf6b2cc
                © 2023

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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