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Purpose – The purpose of this paper is to focus on the relationship between corruption and productive entrepreneurship in general and whether it depends on countries’ specific characteristics in particular. Design/methodology/approach – The authors used a unique data set of entrepreneurial activity within 176 countries, collected from the professional networking site LinkedIn. The authors used OLS regression to estimate the level of entrepreneurship. The main independent variable was the CPI score (Transparency International). In addition, two sub-samples were used, 70 less-developed countries and 34 OECD countries, and numerous control variables. Findings – The paper makes three important contributions to the field. First, it proposes worldwide empirical evidence that countries with high levels of corruption usually face low levels of productive entrepreneurship. Second, the paper suggests that the negative effect is much more significant in developed countries than in developing countries. Third, the paper explores whether the negative effect of corruption depends on country-specific economic characteristics. Research limitations/implications – While there is significant value in using LinkedIn data in entrepreneurship research, there are limitations to this database. Therefore, significant robustness tests were employed and further research, for instance using longitudinal LinkedIn data, could be valuable. Moreover, using different entrepreneurs’ data sets might increase the validation of the results. Finally, further examination of the influence of corruption on different types of entrepreneurial activities and their interaction with different characteristics of the country is still required. Originality/value – The results stress the need to fight corruption not only in developing countries and suggests significant gains from anti-corruption efforts even and maybe especially in the western developed world.

Summary This research focuses on the impact of immigration on entrepreneurship. I find clear evidence that immigration has a significant impact on entrepreneurship. The paper makes three important contributions to the research of both immigration and entrepreneurship. First, it proposes unique empirical evidence using a cross‐section analysis in which the country's level of immigrants has a significantly positive affect on its level of entrepreneurship. Second, it adds to the theoretical understanding of the mechanisms and environments that characterize positive immigration effects on entrepreneurship. I suggest that country‐specific characteristics – in particular urban, open, competitive and culturally diversified (including open minded for ethnic and gender diversity) – influence significantly the positive effect of immigrants on the country's level of entrepreneurship. Furthermore, these positive effects are magnified as the flow of immigrants grows. Third, it uses for the first time in the literature a cross‐section data set of 176 countries of immigrants and entrepreneurial activity.

The economics literature describes various factors that affect trade between countries, which, in addition to the standard economic and geographic factors, also include cultural, ethnic and historical factors. The present study is apparently one of only a few attempts in the literature to examine directly the effects of corruption on trade and the first attempt to examine trade over time in a specific country whose level of corruption changed significantly. Israel was chosen as the subject of the study mainly because of the fact that, according to international indexes, the country's status as a civil society has declined significantly over the past decade. According to the corruption index of Transparency International, Israel was ranked 33rd in the world, at the end of the sample period in 2008, having fallen from 14th in 1995. The results of the research can serve as the basis for comparison to similar studies of other Western countries. The study's conclusions support the hypothesis that the effect of corruption on trade of any given country is significant, stable and negative.

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