Can the internet reduce corruption? A cross-country study based on dynamic panel data models

Autor:	Meng-Chun Liu, Monchi Lio, Yi-Pey Ou
Rok vydání:	2011
Předmět:	Estimation Cross country Sociology and Political Science business.industry Corruption media_common.quotation_subject Library and Information Sciences Causality Granger causality Econometrics Economics The Internet Endogeneity business Law media_common Panel data
Zdroj:	Government Information Quarterly. 28:47-53
ISSN:	0740-624X
DOI:	10.1016/j.giq.2010.01.005
Popis:	This study attempts to estimate the effects of internet adoption on reducing corruption by using a panel consisting of 70 countries covering the period from 1998 to 2005. The results of Granger causality tests reveal that, while causality running from internet adoption to corruption reduction can be established, the causality between internet adoption and corruption is bi-directional. To deal with the problem of endogeneity, the dynamic panel data (DPD) models are employed. The estimation results show that the effects of internet adoption on corruption reduction are statistically significant but not too substantial. Our findings suggest that the internet has shown a capacity for reducing corruption, but its potential has yet to be fully realized.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8e075576061e25d936362f99f18a399d https://doi.org/10.1016/j.giq.2010.01.005 Zobrazit plný text záznamu Full Text from ScienceDirect