
We study the impact of organized crime on electoral results, analyzing in detail the national parliamentary elections in Sicily for the period 1946–1992. We document the significant support given by the Sicilian mafia to the Christian Democratic Party when the electoral competition by the Communist Party strengthened. We also provide suggestive evidence that, in exchange for its electoral support, the mafia obtained economic advantages in the construction sector. (JEL D72, K42, L74)
LAND, 330, Economics, Political Science, Social Sciences, D72, K42, H42, 3801 Applied economics, Regional economics. Space in economics, Business & Economics, 3502 Banking, finance and investment, mafia, electoral competition, 1402 Applied Economics, 320, electoral competition, mafia, Cosa Nostra, electoral fraud, 300, 2000, J, electoral fraud, HT388, jel: jel:K42, jel: jel:H42, jel: jel:D72
LAND, 330, Economics, Political Science, Social Sciences, D72, K42, H42, 3801 Applied economics, Regional economics. Space in economics, Business & Economics, 3502 Banking, finance and investment, mafia, electoral competition, 1402 Applied Economics, 320, electoral competition, mafia, Cosa Nostra, electoral fraud, 300, 2000, J, electoral fraud, HT388, jel: jel:K42, jel: jel:H42, jel: jel:D72
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 42 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
