A Taxonomy of Country Performance Based on GDP and Innovation Indicators for the Group of Twenty (G20)

Nezameddin Faghih and Mahshid Sazegar
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Nezameddin Faghih: UNESCO Chair Professor in Entrepreneurship
Mahshid Sazegar: Fars Engineering Association

A chapter in Globalization and Development, 2019, pp 163-200 from Springer

Abstract: Abstract This chapter proposes a taxonomy of country performance based on GDP and innovation indicators within G20 economies. This study considers the impact of GDP on the “development degree” (fi) for the G20 economies and investigates how the development of G20 economies relates to the innovation promotion factors extracted from the Global Innovation Index (GII) indicators, used as the secondary data for the period 2010–2016. Various variables are used, such as population (in millions), GDP (in USD billion), and seven indicators that are extracted from the GII data. Through the evaluation process, the seven indicators are divided into input and output data; five of them are the input data (institutions, human capital and research, infrastructure, market sophistication, and business sophistication), and the other two are the output data (knowledge and technology output and creative output). The taxonomy provides the identification of country performance and presents relevant information to policymakers, who seek to apply effective economic strategies and develop global policies.

Keywords: G20; GDP; GII (Global Innovation Index); Innovation; Economic growth; Numerical taxonomy (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:conchp:978-3-030-14370-1_7

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DOI: 10.1007/978-3-030-14370-1_7

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