Abstract
This paper examines the impact of startup regulations and institutional quality on the level of new business activity in a panel of 119 countries between 2001 and 2012. We find robust evidence that new business creation is significantly lower in countries with excessive barriers to entry, a lack of high-quality governmental institutions, or both. Specifically, increasing by one, the number of steps required to start a new business, reduces entrepreneurial activity between 3 and 7%. Furthermore, a one standard deviation increase in the overall average level of institutional quality is associated with a 34% increase in new business activity.
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Notes
Note that our dependent variable is new business density while Djankov et al. (2010) focuses on the stock of limited liability firms (normalized by the working-age population).
PCA proceeds by standardizing each pairwise-matched data series (i.e., demeaning each series by its sample average and normalizing the resulting values by its sample standard deviation), combining the standardized data into a single matrix and calculating the underlying eigenvalues and eigenvectors. The eigenvector associated with the largest eigenvalue represents the set of weights that maximize the variance of the weighted sum of the data series, and hence, maximizes the informational content therein. Overall, 85 percent of the collective variation in the governance measures is explained by this optimally weighted sum. Finally, we normalize the resulting eigenvector so that the component weights sum to one.
While a contemporaneous increase in startup activity contributes, by construction, to current output and economic growth, prior research was not concerned with endogeneity because startup activity consists of (1) very small firms that (2) represent a tiny fraction of all formal and informal business entities. As such, output and growth, as in all models of atomistic competition, can be safely treated as given.
Previous studies that utilize alternative, perception-based GEM measures of entrepreneurship use a wide array of control variables. Dreher and Gassebner (2013) find that GDP per capita, communist heritage, average income tax, secondary school enrollment, and share of tax revenue in GDP are the robust determinants of entrepreneurship. Given the differences with GEM measures of entrepreneurship, we instead adopt the covariates common to the literature on business density, as our paper is focused on this particular strand of the entrepreneurship literature.
This is necessary as the fixed effect already captures country-specific heterogeneity relating to beginning period economic development.
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Chambers, D., Munemo, J. Regulations, institutional quality and entrepreneurship. J Regul Econ 55, 46–66 (2019). https://doi.org/10.1007/s11149-019-09377-w
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DOI: https://doi.org/10.1007/s11149-019-09377-w