Abstract

The effectiveness of entrepreneurial activities is not only determined by the quality of entrepreneurs but also by the ecosystem of entrepreneurship. The entrepreneurial ecosystem (EE) that nurtures low-quality “moppets” to highly impactful “gazelles” is being widely debated and on-demand in literature. This study, therefore, is aimed to advance the discussion and make a comparative analysis of the entrepreneurial ecosystem, which has been given a little attention, of BRICS club countries with an especial focus on South Africa, Brazil, and India. Various entrepreneurship-economic growth-related measures including Global Entrepreneurship Index (GEI), Global Competitiveness Index (GCI), Index Economic Freedom (IEF), and Legatum Prosperity Index (LPI) are used to compare the countries’ entrepreneurial ecosystem. Especially, the data set (2012–2018) of GEI was utilized for the analysis. According to GEI and GCI of 2018, China is leading BRICS club in terms of growth and entrepreneurial ecosystem. On the other side, LPI, IEF, and GEI put South Africa’s entrepreneurial ecosystem in a favorable position as compared to Brazil and India. South Africa performs poorly in startup skills, while both the latter ones are better and stand at the same level. This shows that South Africa’s tertiary education, coupled with low skill perception, is less effective in equipping the population to be entrepreneurs as compared to India and Brazil. Whereas Brazil and India are at their worst in internationalizing the country’s entrepreneurs and technological absorption, respectively. South Africa is more like India in product innovation and risk acceptance. On the other side, it is more like Brazil in risk capital, technological absorption, opportunity perception, and in their sluggish economic growth. Overall, South Africa (57th/140 as of 2018) is categorized among those poorly performing countries in terms of start-up skills, networking, technology absorption, human Capital, and risk capital pillars. The government of South Africa needs to primarily work on these bottle-neck pillars to improve its EE. To increase GEI by 5%, it should invest 77% of its extra resource on start-up skills, 18% on risk capital, and 5% on technology absorption. Applying GEI set up, this paper claims to have uniquely contributed to how to make a country comparison on the EE. Further empirical research can be done including all BRICS countries to bolster their development effort and on how to promote EE by tackling the underlying bottlenecks.

Highlights

  • The realization of entrepreneurship as an economic variable is not a recent phenomenon and Sobel (2008) points that its origin dates back 300 years ago

  • Some of the most well-known measures related to entrepreneurship/business and economic growth are Global Entrepreneurship Monitor (GEM), Global Entrepreneurship Index (GEI), Index of Economic Freedom (IEF), Ease of Doing Business (EDB), Legatum Prosperity Index (LPI), OECD-Eurostat’s Entrepreneurship Indicators (OECD-Eurostat 2007) World Bank’s Entrepreneurship Survey, Kauffman Index of Entrepreneurial Activity (KIEA), Flash Euro-barometer Survey and Global Competitiveness Index (GCI)

  • South Africa has been an entrepreneurial leader among sub-Saharan countries

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Summary

Introduction

The realization of entrepreneurship as an economic variable is not a recent phenomenon and Sobel (2008) points that its origin dates back 300 years ago. Acs (2006) answers, first, from the literature that entrepreneurs establish new businesses, and these new businesses, in turn, create jobs, intensify competition with innovative goods, and increase productivity by changing technology He analyzes GEM data from 11 countries and identifies opportunity entrepreneurship, not necessity entrepreneurship, that has a substantial effect on economic development (Acs 2006; see Audretsch and Belitski 2016). Global Entrepreneurship Monitor (GEM)-Total Entrepreneurial Activity (TEA) (Reynolds et al 2005) and World Bank’s Entrepreneurship Survey could be considered as the output measures that emphasize the creation of new business firms or size of entry into self-employment (World Bank 2011) To this end, Ács et al (2014) conceived national systems of entrepreneurship (NSE) that portrays the embedded interactions between entrepreneurial attitude, entrepreneurial ability, and entrepreneurial aspiration in each economy and, later, constructed the Global Entrepreneurship and Development Index (GEDI), which is renamed as Global Entrepreneurship Index (GEI) (Szerb et al 2016). The following sections of this article display literature review, methodology, data analysis and discussion, and conclusion, respectively

Literature review
Methodology
14 Risk capital
Technology AbsorpƟon
Findings
Conclusion
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