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Corruption and destructive entrepreneurship

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Abstract

The negative effects of corruption at the macro level are well-documented. Corruption reduces economic growth, lowers investment, and erodes trust in government officials, creating an institutional environment that pushes entrepreneurs from productive to destructive activities. Corruption also has effects at the micro level because some industries are better situated to profit from corruption than others. Corruption not only lowers economic output but also shifts resources toward some industries and away from others. Using federal convictions in the USA as a measure of corruption, regression results show that increased corruption shifts resources toward the construction industry and away from the education industry and professional, scientific, and technical service industry. The evidence also shows that the distance from state capitals and voter turnout moderate the relationship between corruption and firm concentrations.

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Notes

  1. https://www.justice.gov/criminal/pin.

  2. https://www.census.gov/programs-surveys/cbp/data/tables.html.

  3. We collected these data from https://www.census.gov/geo/maps-data/data/gazetteer2010.html.

  4. To do this, we used data on state capital latitude and longitude from:http://www.xfront.com/us_states/, https://inkplant.com/code/state-latitudes-longitudes, and http://www.worldatlas.com.

  5. Data are available at: https://www.census.gov/data/tables/time-series/demo/voting-and-registration/voting-historical-time-series.html.

  6. https://www.census.gov/support/USACdataDownloads.html.

  7. This implication is consistent with prior work on international trade. Kono (2006) finds that, while conspicuous trade barriers have decreased over time, inconspicuous trade barriers (such as regulations and controls) have increased.

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Correspondence to Christopher J. Boudreaux.

Appendix

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Fig. 2
figure 2

Corruption and firm concentration in the construction industry (NAICS 237), as moderated by distance to state capital and voter turnout

Fig. 3
figure 3

Corruption and firm concentration in the education industry (NAICS 611), as moderated by distance to state capital and voter turnout

Fig. 4
figure 4

Corruption and firm concentration in the professional, scientific, and technical service industry (NAICS 541), as moderated by distance to state capital and voter turnout

Table 9 Variable descriptions
Table 10 Summary statistics and correlation matrix

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Boudreaux, C.J., Nikolaev, B.N. & Holcombe, R.G. Corruption and destructive entrepreneurship. Small Bus Econ 51, 181–202 (2018). https://doi.org/10.1007/s11187-017-9927-x

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