2014
DOI: 10.4067/s0718-27242014000100002
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High Income Inequality as a Structural Factor in Entrepreneurial Activity

Abstract: Statistical tests on a panel of data from 54 countries over the [2004][2005][2006][2007][2008][2009] period support the proposition that high income inequality and entrepreneurial activity share a positive linear relationship. In a novel approach, the dependent variable is defined from two independent and uncorrelated perspectives: (1) the World Bank Group Entrepreneurship Snapshot, which measures new business entry density based on secondary official sources; and (2) the Total Early Stage Entrepreneurial Acti… Show more

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Cited by 14 publications
(12 citation statements)
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References 40 publications
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“…In other words, greater income inequality acts as a grease for entrepreneurship and this impact holds even after allowance is made for bi‐directional causality between entrepreneurship and income inequality. Our cross‐country results are consistent with earlier findings across U.S. states (Atems & Shand, 2018), and those with a smaller set of nations for an earlier period (Lecuna, 2014).…”
Section: Discussionsupporting
confidence: 91%
See 1 more Smart Citation
“…In other words, greater income inequality acts as a grease for entrepreneurship and this impact holds even after allowance is made for bi‐directional causality between entrepreneurship and income inequality. Our cross‐country results are consistent with earlier findings across U.S. states (Atems & Shand, 2018), and those with a smaller set of nations for an earlier period (Lecuna, 2014).…”
Section: Discussionsupporting
confidence: 91%
“…The authors find the presence of both positive and negative spatial spillovers. For a smaller sample of 51 nations, Lecuna (2014) finds a positive relation between income inequality and entrepreneurship. On the other hand, Atems and Shand (2018) use state‐level U.S. data from 1989 to 2013 and, employing GMM estimation, find a positive relation between income inequality and entrepreneurship.…”
Section: Literature and Modelmentioning
confidence: 98%
“…These hypotheses extend Lecun as (2014) findings, which suggest that entrepreneurial activity benefits from moderate levels of inequality. However, different from Lecuna (2014), the three hypotheses explain income inequalities using three different measures of entrepreneurial activity as dependent variables instead of independent variables. Furthermore, the results presented here are based on a more extensive database, including the introduction of a quality measure of entrepreneurship (high-aspiration entrepreneurs).…”
Section: Theoretical Frameworkmentioning
confidence: 98%
“…The dependent variable in the analysis is income inequality and is measured by the Gini index, which is a scale ranging from 0 to 100 that calculates the degree of inequality in a country's income distribution (higher values indicate greater income inequalities). Following Lecuna (2014), four secondary sources of information were used: the Central Intelligence Agency World Factbook (CIA The World Factbook), the United Nations Development Programme indicators (UNDP), the United Nations University World Institute for Development Economics Research income inequality database (UNU-WIDER), and the World Bank (WB). The definitions and methodologies used to calculate the Gini index are practically identical among these four sources.…”
Section: Measures Of Income Inequality and Entrepreneurshipmentioning
confidence: 99%
“…Although there are some international cross-country studies, these efforts have primarily provided simple correlations without testing (and correcting) for the likely presence of endogeneity between inequality and entrepreneurial rates. The lack of robust evidence thus limits our understanding of the effects that inequality might have (Lecuna, 2014;Lippman et al, 2005;Reynolds et al, 2005).…”
Section: Introductionmentioning
confidence: 99%