High-growth entrepreneurial firms in Africa: a quantile regression approach

High-growth entrepreneurial firms in Africa: a quantile regression approach This article analyses the growth performance of a large set of entrepreneurial firms in ten manufacturing sectors of 11 Sub-Saharan African countries. The focus of the article is on identifying those entrepreneurs’ attributes and firm characteristics that tend to generate a significant number of high-growth firms in these countries. To this end, we use a quantile regression, which provides a more complete estimation of the growth distribution of firms conditional on different attributes. The results indicate that firms that engage in product innovation, have their own transport means and are connected to the internet through their own website are especially characterized by higher growth rates and also display a distribution of growth rates skewed to the right, hosting a higher number of high-growth firms. The effect of the last two variables, which relate to distance-bridging modes of infrastructure, points to the self-reinforcing growth effects they generate in creating wider input and output markets. Education raises growth opportunities by affecting the lower quantiles, but it does not appear to influence the upper quantiles. The estimated conditional growth distributions for the technology-intensive machinery and electronics sectors show more extreme tails and a lower mean in comparison to the traditional industries, indicating the more risky nature of doing business in these industries. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Small Business Economics Springer Journals

High-growth entrepreneurial firms in Africa: a quantile regression approach

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Publisher
Springer US
Copyright
Copyright © 2009 by The Author(s)
Subject
Business and Management; Management; Microeconomics; Entrepreneurship; Industrial Organization
ISSN
0921-898X
eISSN
1573-0913
D.O.I.
10.1007/s11187-009-9193-7
Publisher site
See Article on Publisher Site

Abstract

This article analyses the growth performance of a large set of entrepreneurial firms in ten manufacturing sectors of 11 Sub-Saharan African countries. The focus of the article is on identifying those entrepreneurs’ attributes and firm characteristics that tend to generate a significant number of high-growth firms in these countries. To this end, we use a quantile regression, which provides a more complete estimation of the growth distribution of firms conditional on different attributes. The results indicate that firms that engage in product innovation, have their own transport means and are connected to the internet through their own website are especially characterized by higher growth rates and also display a distribution of growth rates skewed to the right, hosting a higher number of high-growth firms. The effect of the last two variables, which relate to distance-bridging modes of infrastructure, points to the self-reinforcing growth effects they generate in creating wider input and output markets. Education raises growth opportunities by affecting the lower quantiles, but it does not appear to influence the upper quantiles. The estimated conditional growth distributions for the technology-intensive machinery and electronics sectors show more extreme tails and a lower mean in comparison to the traditional industries, indicating the more risky nature of doing business in these industries.

Journal

Small Business EconomicsSpringer Journals

Published: Apr 18, 2009

References

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