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Is the Internet an effective mechanism for reducing corruption experience? Evidence from a cross-section of countries

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  • Jamie Bologna

Abstract

This article develops an indicator of Internet awareness on corruption as described in Goel et al . (2012) to see how this impacts both corruption perceptions and corruption experience. The results confirm the finding of Goel et al . (2012) that corruption perceptions are highly influenced by Internet awareness. However, the effect Internet awareness has on corruption experience is unclear. This article finds that Internet awareness decreases the frequency of corruption experience of households, while it increases the frequency of corruption experience in firms. Overall, the results suggest that the effect Internet awareness has on corruption is highly sensitive to the corruption measures used and the time the Internet data is constructed.

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  • Jamie Bologna, 2014. "Is the Internet an effective mechanism for reducing corruption experience? Evidence from a cross-section of countries," Applied Economics Letters, Taylor & Francis Journals, vol. 21(10), pages 687-691, July.
  • Handle: RePEc:taf:apeclt:v:21:y:2014:i:10:p:687-691
    DOI: 10.1080/13504851.2014.884692
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    References listed on IDEAS

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    1. Djankov, Simeon & McLiesh, Caralee & Nenova, Tatiana & Shleifer, Andrei, 2003. "Who Owns the Media?," Journal of Law and Economics, University of Chicago Press, vol. 46(2), pages 341-381, October.
    2. Brunetti, Aymo & Weder, Beatrice, 2003. "A free press is bad news for corruption," Journal of Public Economics, Elsevier, vol. 87(7-8), pages 1801-1824, August.
    3. Weber Abramo, Claudio, 2008. "How Much Do Perceptions of Corruption Really Tell Us?," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 2, pages 1-56.
    4. Naci Mocan, 2008. "What Determines Corruption? International Evidence From Microdata," Economic Inquiry, Western Economic Association International, vol. 46(4), pages 493-510, October.
    5. Goel, Rajeev K. & Nelson, Michael A. & Naretta, Michael A., 2012. "The internet as an indicator of corruption awareness," European Journal of Political Economy, Elsevier, vol. 28(1), pages 64-75.
    6. Dilyan Donchev & Gergely Ujhelyi, 2014. "What Do Corruption Indices Measure?," Economics and Politics, Wiley Blackwell, vol. 26(2), pages 309-331, July.
    7. Chowdhury, Shyamal K., 2004. "The effect of democracy and press freedom on corruption: an empirical test," Economics Letters, Elsevier, vol. 85(1), pages 93-101, October.
    8. Charles Kenny, 2009. "Measuring Corruption in Infrastructure: Evidence from Transition and Developing Countries," Journal of Development Studies, Taylor & Francis Journals, vol. 45(3), pages 314-332.
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    Cited by:

    1. Ficawoyi Donou‐Adonsou & Gyan Pradhan & Hem C. Basnet, 2022. "Firm‐level aggregate corruption and competition: The role of telecommunications infrastructure," Review of Policy Research, Policy Studies Organization, vol. 39(2), pages 199-218, March.
    2. Juan Carlos Henao & Carolina Isaza Espinosa, 2018. "Corrupción en Colombia Tomo 1 Corrupción, política y sociedad," Books, Universidad Externado de Colombia, Facultad de Derecho, number 1024, Diciembre.
    3. Lili Pan & Lin Wang & Qianqian Feng, 2022. "Effects of Host-Country Corruption on China’s Outward Foreign Direct Investments: Expert Knowledge Versus Public Awareness," SAGE Open, , vol. 12(4), pages 21582440221, December.

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    More about this item

    JEL classification:

    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • K40 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - General

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