2015
DOI: 10.1016/j.econmod.2015.04.014
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Economic growth and crime: Is there an asymmetric relationship?

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Cited by 31 publications
(32 citation statements)
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“…The relationship between crimes and economic variables is an expanding field of research. Empirical studies suggest that crime would have detrimental effects on economic activity (e.g., Carboni and Detotto 2016;Detotto and Otranto 2010) and that variations in crime would even have an asymmetric impact on the economy (Goulas and Zervoyianni 2015). In line with these recent efforts, along with the literatures on bankruptcy diffusion and white-collar crime, the main research question in this article is whether it is possible to identify a relationship between bankruptcy frauds and the volume of bankruptcies.…”
Section: Introductionmentioning
confidence: 90%
“…The relationship between crimes and economic variables is an expanding field of research. Empirical studies suggest that crime would have detrimental effects on economic activity (e.g., Carboni and Detotto 2016;Detotto and Otranto 2010) and that variations in crime would even have an asymmetric impact on the economy (Goulas and Zervoyianni 2015). In line with these recent efforts, along with the literatures on bankruptcy diffusion and white-collar crime, the main research question in this article is whether it is possible to identify a relationship between bankruptcy frauds and the volume of bankruptcies.…”
Section: Introductionmentioning
confidence: 90%
“…This technique has been used in other crime-related studies (e.g. Goulas and Zervoyianni, 2013;2015;Saridakis and Spengler, 2012) and its advantage relies on using appropriately lagged levels and lagged differences of the explanatory variables as instruments so that causation will only run from the right to the lefthand side of Eq. 1.…”
Section: Methodsmentioning
confidence: 99%
“…Penelitian Goulas & Zervoyianni (2015) yang dilakukan pada 25 negara Uni-Eropa dan Jepang, menyimpulkan negara diperkirakan mampu meningkat pertumbuhan pendapatan per kapita pendudukannya sekitar 1% per tahun jika mampu menekan tingkat kriminalitas sebesar 10%. Di Indonesia kondisi ini akan dapat diamati jika asupan data statistik kriminalitasnya tidak bias.…”
Section: Pendahuluanunclassified