E-Government, Internet Adoption, and Corruption: An Empirical Investigation
This study empirically investigates the impact of e-government and internet adoption on curbing corruption, by utilizing a large panel dataset. The results reveal that e-government is a powerful tool in reducing corruption—via telecommunication infrastructure and the scope and quality of online services—which is strengthened by greater internet adoption. The interaction effects between e-government and internet adoption suggest both as complements in anti-corruption programs. A dynamic panel data model that addresses the endogeneity problem and considers corruption persistency is employed. Results of panel Granger causality tests indicate a unidirectional causality from e-government to corruption, while a bilateral causality between internet adoption and corruption.
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- Mishra, Ajit, 2006. "Persistence of corruption: some theoretical perspectives," World Development, Elsevier, vol. 34(2), pages 349-358, February.
- David Roodman, 2006.
"How to Do xtabond2: An Introduction to "Difference" and "System" GMM in Stata,"
103, Center for Global Development.
- David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
- R Blundell & Steven Bond, "undated".
"Initial conditions and moment restrictions in dynamic panel data model,"
W14&104., Economics Group, Nuffield College, University of Oxford.
- Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
- Blundell, R. & Bond, S., 1995. "Initial Conditions and Moment Restrictions in Dynamic Panel Data Models," Economics Papers 104, Economics Group, Nuffield College, University of Oxford.
- Richard Blundell & Steve Bond, 1995. "Initial conditions and moment restrictions in dynamic panel data models," IFS Working Papers W95/17, Institute for Fiscal Studies.
- Baltagi, Badi H. & Wu, Ping X., 1999. "Unequally Spaced Panel Data Regressions With Ar(1) Disturbances," Econometric Theory, Cambridge University Press, vol. 15(06), pages 814-823, December.
- Jean Tirole, 1996.
"A Theory of Collective Reputations (with applications to the persistence of corruption and to firm quality),"
Review of Economic Studies,
Oxford University Press, vol. 63(1), pages 1-22.
- Tirole, J., 1993. "A Theory of Collective Reputations with Applications to the Persistence of Corruption and to Firm Quality," Working papers 93-13, Massachusetts Institute of Technology (MIT), Department of Economics.
- Tirole, Jean, 1994. ""A Theory of Collective Reputations" with Applications to the Persistence of Corruption and to Firm Quality," IDEI Working Papers 38, Institut d'Économie Industrielle (IDEI), Toulouse.
- Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988.
"Estimating Vector Autoregressions with Panel Data,"
Econometric Society, vol. 56(6), pages 1371-1395, November.
- Tom Doan, "undated". "RATS program to demonstrate IV estimation of VAR in panel data," Statistical Software Components RTZ00185, Boston College Department of Economics.
- Treisman, Daniel, 2000. "The causes of corruption: a cross-national study," Journal of Public Economics, Elsevier, vol. 76(3), pages 399-457, June.
- Danila Serra, 2006. "Empirical determinants of corruption: A sensitivity analysis," Public Choice, Springer, vol. 126(1), pages 225-256, January.
- Kevin M. Murphy & Andrei Shleifer & Robert W. Vishny, 1991.
"The Allocation of Talent: Implications for Growth,"
The Quarterly Journal of Economics,
Oxford University Press, vol. 106(2), pages 503-530.
- Murphy, Kevin M. & Shleifer, Andrei & Vishny, Robert W., 1991. "The Allocation of Talent: Implications for Growth," Scholarly Articles 27692664, Harvard University Department of Economics.
- Kevin M. Murphy & Andrei Shleifer & Robert W. Vishny, 1990. "The Allocation of Talent: Implicationsfor Growth," University of Chicago - George G. Stigler Center for Study of Economy and State 65, Chicago - Center for Study of Economy and State.
- Kevin M. Murphy & Andrei Shleifer & Robert W. Vishny, 1990. "The Allocation of Talent: Implications for Growth," NBER Working Papers 3530, National Bureau of Economic Research, Inc.
- Nasr G. Elbahnasawy & Charles F. Revier, 2012. "The Determinants of Corruption: Cross-Country-Panel-Data Analysis," The Developing Economies, Institute of Developing Economies, vol. 50(4), pages 311-333, December.
- Marcin Piatkowski, 2006. "Can Information and Communication Technologies Make a Difference in the Development of Transition Economies?," Information Technologies and International Development, MIT Press, vol. 3(1), pages 39-53, October.
- Pushan Dutt, 2009. "Trade protection and bureaucratic corruption: an empirical investigation," Canadian Journal of Economics, Canadian Economics Association, vol. 42(1), pages 155-183, February.
- Miguel Braun & Rafael Di tella, 2004. "Inflation, Inflation Variability, and Corruption," Economics and Politics, Wiley Blackwell, vol. 16(1), pages 77-100, 03.
- Arellano, Manuel & Bover, Olympia, 1995.
"Another look at the instrumental variable estimation of error-components models,"
Journal of Econometrics,
Elsevier, vol. 68(1), pages 29-51, July.
- M Arellano & O Bover, 1990. "Another Look at the Instrumental Variable Estimation of Error-Components Models," CEP Discussion Papers dp0007, Centre for Economic Performance, LSE.
- A. Bhargava & L. Franzini & W. Narendranathan, 1982.
"Serial Correlation and the Fixed Effects Model,"
Review of Economic Studies,
Oxford University Press, vol. 49(4), pages 533-549.
- Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
- Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
- Justesen, Mogens K., 2008. "The effect of economic freedom on growth revisited: New evidence on causality from a panel of countries 1970-1999," European Journal of Political Economy, Elsevier, vol. 24(3), pages 642-660, September.
- Kolstad, Ivar & Wiig, Arne, 2009. "Is Transparency the Key to Reducing Corruption in Resource-Rich Countries?," World Development, Elsevier, vol. 37(3), pages 521-532, March.
- World Bank, 2012. "World Development Indicators 2012," World Bank Publications, The World Bank, number 6014.
- Kaufmann, Daniel & Kraay, Aart & Mastruzzi, Massimo, 2010. "The worldwide governance indicators : methodology and analytical issues," Policy Research Working Paper Series 5430, The World Bank.
- Manuel Arellano & Stephen Bond, 1991.
"Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations,"
Review of Economic Studies,
Oxford University Press, vol. 58(2), pages 277-297.
- Tom Doan, "undated". "RATS program to replicate Arellano-Bond 1991 dynamic panel," Statistical Software Components RTZ00169, Boston College Department of Economics.
- Sanjeev Gupta & Hamid Davoodi & Rosa Alonso-Terme, 2002. "Does corruption affect income inequality and poverty?," Economics of Governance, Springer, vol. 3(1), pages 23-45, 03.
- Lau, T.Y. & Aboulhoson, Mira & Lin, Carolyn & Atkin, David J., 2008. "Adoption of e-government in three Latin American countries: Argentina, Brazil and Mexico," Telecommunications Policy, Elsevier, vol. 32(2), pages 88-100, March.
- Elena Ivona Dumitrescu & Christophe Hurlin, 2012.
"Testing for Granger Non-causality in Heterogeneous Panels,"
- Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
- Christophe Hurlin & Elena Dumitrescu, 2012. "Testing for Granger Non-causality in Heterogeneous Panels," Working Papers halshs-00224434, HAL.
- Freille, Sebastian & Haque, M. Emranul & Kneller, Richard, 2007. "A contribution to the empirics of press freedom and corruption," European Journal of Political Economy, Elsevier, vol. 23(4), pages 838-862, December.
- Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291, December.
- 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.
- Paolo Mauro, 1995. "Corruption and Growth," The Quarterly Journal of Economics, Oxford University Press, vol. 110(3), pages 681-712.
- Jain, Arvind K, 2001. " Corruption: A Review," Journal of Economic Surveys, Wiley Blackwell, vol. 15(1), pages 71-121, February.
- Andersen, Thomas Barnebeck, 2009. "E-Government as an anti-corruption strategy," Information Economics and Policy, Elsevier, vol. 21(3), pages 201-210, August.
- Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
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