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The internet as an indicator of corruption awareness

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  • Goel, Rajeev K.
  • Nelson, Michael A.
  • Naretta, Michael A.

Abstract

We apply a standard specification of the causes of corruption to a large sample of countries to investigate the effect of internet awareness about corruption on prevalence and perceptions of corruption. The main hypothesis is that greater corruption awareness acts as a corruption deterrent. A unique data set of internet searches on Google and Yahoo is compiled using alternate variations of “corruption”, “bribery” and “country name” keywords to capture internet corruption awareness. Results show that internet hits about corruption per capita correlate negatively with corruption perceptions and corruption incidence. This finding generally holds for different specifications and other robustness checks.

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Bibliographic Info

Article provided by Elsevier in its journal European Journal of Political Economy.

Volume (Year): 28 (2012)
Issue (Month): 1 ()
Pages: 64-75

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Handle: RePEc:eee:poleco:v:28:y:2012:i:1:p:64-75

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Web page: http://www.elsevier.com/locate/inca/505544

Related research

Keywords: Corruption perceptions; Corruption awareness; Internet; Press;

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Citations

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Cited by:
  1. Juan Manuel Caicedo & Alejandro Gaviria & Javier Moreno, 2011. "Hechos y palabras: la realidad colombiana vista a través de la prensa escrita," DOCUMENTOS CEDE 009253, UNIVERSIDAD DE LOS ANDES-CEDE.
  2. Jamie Bologna, 2014. "Is the Internet an Effective Mechanism for Reducing Corruption Experience? Evidence from a Cross-Section of Countries," Working Papers 14-04, Department of Economics, West Virginia University.
  3. Michael Breen & Robert Gillanders, 2012. "Corruption, institutions and regulation," Economics of Governance, Springer, vol. 13(3), pages 263-285, September.
  4. Elbahnasawy, Nasr G., 2014. "E-Government, Internet Adoption, and Corruption: An Empirical Investigation," World Development, Elsevier, vol. 57(C), pages 114-126.
  5. Elgin, Ceyhun, 2013. "Internet usage and the shadow economy: Evidence from panel data," Economic Systems, Elsevier, vol. 37(1), pages 111-121.

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