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Understanding Inconsistent Corruption Control through E-government Participation: Updated Evidence from a Cross-Country Investigation

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Abstract

Based on data from 133 countries, this paper unveils and empirically proves a nonlinear relationship between e-participation and corruption control and further examines the moderating roles of voice and accountability and ICT infrastructure. The empirical analysis suggests that (1) e-participation has a curvilinear (U-shaped) relationship with corruption control; (2) voice and accountability negatively moderate the relationship between e-participation and corruption control; (3) ICT infrastructure positively moderates the relationship between e-participation and corruption control. Our findings identify the relationships among e-participation, voice and accountability, ICT infrastructure, and corruption control, and provide implications for combating corruption in implementing e-participation initiatives for e-government.

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Notes

  1. According to United Nations (2014, 2016), the Telecommunication Infrastructure Index has remained largely unchanged since 2010, except for the replacement of personal computer (PC) users with fixed Internet subscriptions in 2012; and the replacement of fixed Internet subscriptions with wireless broadband subscriptions in 2014 and 2016.

  2. The Survey in 2014 and 2016 introduced two new components to the human capital index, namely: expected years of schooling and mean years of schooling. That is, the Human Capital Index consists of four components, namely: (1) adult literacy rate; (2) the combined primary, secondary and tertiary gross enrolment ratio; (3) expected years of schooling; and (4) average years of schooling.

References

  1. Andersen, T. B. (2009). E-Government as an anti-corruption strategy. Information Economics and Policy, 21(3), 201–210.

    Article  Google Scholar 

  2. Bac, M. (2001). Corruption, connections and transparency: Does a better screen imply a better scene? Public Choice, 107(1–2), 87–96.

    Article  Google Scholar 

  3. Basyal, D. K., Poudyal, N., & Seo, J. W. (2018). Does E-government reduce corruption? Evidence from a heterogeneous panel data model. Transforming Government: People, Process and Policy, 12(2), 134–154.

    Article  Google Scholar 

  4. Bhattacherjee, A., & Shrivastava, U. (2018). The effects of ICT use and ICT Laws on corruption: A general deterrence theory perspective. Government Information Quarterly, 35(4), 703–712.

    Article  Google Scholar 

  5. Bwalya, K. J. (2009). Factors affecting adoption of e-government in Zambia. The Electronic Journal of Information Systems in Developing Countries, 38(1), 1–13.

    Article  Google Scholar 

  6. Bertot, J. C., Jaeger, P. T., & Grimes, J. M. (2010). Using ICTs to create a culture of transparency: E-government and social media as openness and anti-corruption tools for societies. Government information quarterly, 27(3), 264–271.

    Article  Google Scholar 

  7. Bhuiyan, S. H. (2011). Modernizing Bangladesh public administration through e-governance: Benefits and challenges. Government Information Quarterly, 28(1), 54–65.

    Article  Google Scholar 

  8. Brouthers, L. E., Gao, Y., & McNicol, J. P. (2008). Corruption and market attractiveness influences on different types of FDI. Strategic Management Journal, 29(6), 673–680.

    Article  Google Scholar 

  9. Charoensukmongkol, P., & Moqbel, M. (2014). Does investment in ICT curb or create more corruption? A cross-country analysis. Public Organization Review, 14(1), 51–63.

    Article  Google Scholar 

  10. Cho, Y. H., & Choi, B. D. (2004). E-government to combat corruption: The case of Seoul metropolitan government. International Journal of Public Administration, 27(10), 719–735.

    Article  Google Scholar 

  11. Choi, J. W. (2014). E-government and corruption: A cross-country survey. World Political Science, 10(2), 217–236.

    Article  Google Scholar 

  12. Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2014). Applied multiple regression/correlation analysis for the behavioral sciences. UK: Psychology Press.

    Book  Google Scholar 

  13. Csáki, C., & Gelléri, P. (2005). Conditions and benefits of applying decision technological solutions as a tool to curb corruption within the procurement process: The case of Hungary. Journal of Purchasing and Supply Management, 11(5–6), 252–259.

    Article  Google Scholar 

  14. Das, A., Singh, H., & Joseph, D. (2017). A longitudinal study of e-government maturity. Information & Management, 54(4), 415–426.

    Article  Google Scholar 

  15. DiRienzo, C. E., Das, J., Cort, K. T., & Burbridge, J. (2007). Corruption and the role of information. Journal of International Business Studies, 38(2), 320–332.

    Article  Google Scholar 

  16. Elbahnasawy, N. G. (2014). E-government, internet adoption, and corruption: an empirical investigation. World Development, 57, 114–126.

    Article  Google Scholar 

  17. Elbahnasawy, N. G., & Revier, C. F. (2012). The determinants of corruption: Cross-country-panel-data analysis. The Developing Economies, 50(4), 311–333.

    Article  Google Scholar 

  18. Feeney, M. K., & Welch, E. W. (2012). Electronic participation technologies and perceived outcomes for local government managers. Public Management Review, 14(6), 815–833.

    Article  Google Scholar 

  19. Garcia-Murillo, M. (2013). Does a government web presence reduce perceptions of corruption? Information Technology for Development, 19(2), 151–175.

    Article  Google Scholar 

  20. Goetz, A. M., & Jenkins, R. (2001). Hybrid forms of accountability: citizen engagement in institutions of public-sector oversight in India. Public Management Review, 3(3), 363–383.

    Article  Google Scholar 

  21. Habib, M., & Zurawicki, L. (2001). Country-level investments and the effect of corruption — some empirical evidence. International Business Review, 10(6), 687–700.

    Article  Google Scholar 

  22. Halachmi, A. (2000). Value for Money, best value and measuring government performance: An Introduction to the Symposium. International Review of Administrative Sciences, 66(3), 387–391.

    Article  Google Scholar 

  23. Heeks, R. (1998). Information technology and public sector corruption. Information Systems for Public Sector Management Working Paper Series, Institute for Development Policy and Management of University of Manchester. https://www.man.ac.uk/idpm.

  24. Ionescu, L. (2015). The role of e-government in curbing the corruption in public administration. Economics, Management and Financial Markets, 10(1), 48.

    Google Scholar 

  25. Ionescu, L. (2016). E-Government and Social Media as Effective Tools in Controlling Corruption in Public Administration. Economics, Management, and Financial Markets, 11(1), 66–72.

    Google Scholar 

  26. Iqbal, M. S., & Seo, J.-W. (2008). E-Governance as an anti-corruption tool: Korean cases. Journal of Korean Association for Regional Information Society, 11(2), 51–78.

    Google Scholar 

  27. Jain, A. K. (2001). Corruption: A review. Journal of Economic Surveys, 15(1), 71–121.

    Article  Google Scholar 

  28. Kaufmann, D., Kraay, A., & Zoido-Lobaton, P. (1999). Governance matters (World Bank Policy Research Working Paper No. 2196). Washington, DC: World Bank.

    Google Scholar 

  29. Kim, C. K. (2014). Anti-Corruption Initiatives and E-Government: A Cross-National Study. Public Organization Review, 14(3), 385–396.

    Article  Google Scholar 

  30. Kim, S., Kim, H. J., & Lee, H. (2009). An institutional analysis of an e-government system for anti-corruption: The case of OPEN. Government Information Quarterly, 26(1), 42–50.

    Article  Google Scholar 

  31. Kock, N., & Gaskins, L. (2014). The mediating role of voice and accountability in the relationship between Internet diffusion and government corruption in Latin America and Sub-Saharan Africa. Information Technology for Development, 20(1), 23–43.

    Article  Google Scholar 

  32. Krishnan, R. A., Joshi, S., & Krishnan, H. (2004). The influence of mergers on firms’ product-mix strategies. Strategic Management Journal, 25(6), 587–611.

    Article  Google Scholar 

  33. Krishnan, S., Teo, T. S., & Lim, V. K. (2013). Examining the relationships among e-government maturity, corruption, economic prosperity and environmental degradation: A cross-country analysis. Information & Management, 50(8), 638–649.

    Article  Google Scholar 

  34. Krishnan, S., & Teo, T. S. (2012). Moderating effects of governance on information infrastructure and e-government development. Journal of the American Society for Information Science and Technology, 63(10), 1929–1946.

    Article  Google Scholar 

  35. Krishnan, S., Teo, T. S., & Lymm, J. (2017). Determinants of electronic participation and electronic government maturity: Insights from cross-country data. International Journal of Information Management, 37(4), 297–312.

    Article  Google Scholar 

  36. Krishnan, S., & Lymm, J. (2016). Determinants of virtual social networks diffusion: Insights from cross-country data. Computers in Human Behavior, 54, 691–700.

    Article  Google Scholar 

  37. Lee, Eunhee. (2017). The Impact of e-government on corruption control. MPA/MPP Capstone Projects. 276. https://uknowledge.uky.edu/mpampp_etds/276.

  38. Linhartová, V. (2017). The role of e-government in mitigating corruption. Scientific Papers of the University of Pardubice. Series D, Faculty of Economics & Administration, 25(40), 120–131.

  39. Luna-Reyes, L. F., & Gil-García, J. R. (2011). Using institutional theory and dynamic simulation to understand complex e-Government phenomena. Government Information Quarterly, 28(3), 329–345.

    Article  Google Scholar 

  40. Lupu, D., & Lazăr, C. G. (2015). Influence of e-government on the level of corruption in some EU and non-EU states. Procedia Economics and Finance, 20, 365–371.

    Article  Google Scholar 

  41. Máchová, R., Volejníková, J., & Lněnička, M. (2018). Impact of E-government Development on the Level of Corruption: Measuring the Effects of Related Indices in Time and Dimensions. Review of Economic Perspectives, 18(2), 99–121.

    Article  Google Scholar 

  42. Mistry, J. J., & Jalal, A. (2012). An Empirical Analysis of the Relationship between e-government and Corruption. The International Journal of Digital Accounting Research, 12(18), 145–176.

    Google Scholar 

  43. Moe, T. M. (1984). The new economics of organization. American journal of political science, 28(4), 739–777.

    Article  Google Scholar 

  44. Nam, T. (2018). Examining the anti-corruption effect of e-government and the moderating effect of national culture: A cross-country study. Government Information Quarterly, 35(2), 273–282.

    Article  Google Scholar 

  45. Norris, D. F., & Moon, M. J. (2005). Advancing e-government at the grassroots: tortoise or hare? Public Administration Review, 65(1), 64–75.

    Article  Google Scholar 

  46. Ojha, A., & Palvia, S. (2012). E-government and the fight against corruption: Conceptual model and five case studies from India. Journal of Information Technology Case and Application Research, 14(4), 11–29.

    Article  Google Scholar 

  47. Ojha, A., Palvia, S., & Gupta, M. P. (2008). A model for impact of e-government on corruption: Exploring theoretical foundations. Critical thinking in e-governance. In: The 6th international conference on e-government (ICEG 2008) (pp. 160–170). New Delhi, India. Available from http://ww.csi-sigegov.org/critical_pdf/18_160-170.pdf.

  48. Pathak, R. D., Singh, G., Belwal, R., & Smith, R. F. I. (2007). E-governance and Corruption-developments and Issues in Ethiopia. Public Organization Review, 7(3), 195–208.

    Article  Google Scholar 

  49. Pathak, R. D., Naz, R., Rahman, M. H., Smith, R. F. I., & Nayan Agarwal, K. (2009). E-governance to cut corruption in public service delivery: A case study of Fiji. International Journal of Public Administration, 32(5), 415–437.

    Article  Google Scholar 

  50. Park, C. H., & Kim, K. (2019). E-government as an anti-corruption tool: panel data analysis across countries. International Review of Administrative Sciences. https://doi.org/10.1177/0020852318822055

    Article  Google Scholar 

  51. Pathak, R. D., & Prasad, R. S. (2006). Role of e-governance in tackling corruption: The Indian experience. In: R. Ahmad (Ed.), The role of public administration in building a harmonious society (pp. 434-463). Manila, Philippines: Asian Development Bank.

  52. Prasad, A., & Shivarajan, S. (2015). Understanding the role of technology in reducing corruption: a transaction cost approach. Journal of Public Affairs, 15(1), 22–39.

    Article  Google Scholar 

  53. Rose-Ackerman, S., & Palifka, B. J. (2016). Corruption and government: Causes, consequences, and reform. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  54. Ravichandran, T., Lertwongsatien, C., & Lertwongsatien, C. (2005). Effect of information systems resources and capabilities on firm performance: A resource-based perspective. Journal of Management Information Systems, 21(4), 237–276.

    Article  Google Scholar 

  55. Royo S., Yetano A., Acerete B. (2014). Perceptions about the effectiveness of e-participation: a multistakeholder perspective. In: M. Rodríguez-Bolívar (Ed.), Measuring E-government Efficiency. Public Administration and Information Technology (vol. 5, pp. 257–275). New York, NY: Springer. https://doi.org/10.1007/978-1-4614-9982-4_14.

  56. Setyaningrum, D. (2017). E-Government as an Anti-Corruption Tool: Experience from Indonesia. Malaysia: Global Academy of Training and Research (GATR) Enterprise.

    Google Scholar 

  57. Sheryazdanova, G., & Butterfield, J. (2017). E-government as an anti-corruption strategy in Kazakhstan. Journal of Information Technology & Politics, 14(1), 83–94.

    Article  Google Scholar 

  58. Shim, D. C., & Eom, T. H. (2008). E-government and anti-corruption: Empirical analysis of international data. International Journal of Public Administration, 31(3), 298–316.

    Article  Google Scholar 

  59. Shukhova, A., & Nisnevich, Y. (2017). Measurement of validity of corruption indices. Higher School of Economics Research Paper No. WP BRP 42/PS/2017. Available at SSRN: https://ssrn.com/abstract=2901307 or https://doi.org/10.2139/ssrn.2901307.

  60. Singh, H., Das, A., & Joseph, D. (2007). Country-level determinants of e-government maturity. Communications of the Association for Information Systems, 20(1), 40.

    Google Scholar 

  61. Srivastava, S. C., Teo, T. S., & Devaraj, S. (2016). You can’t bribe a computer: Dealing with the societal challenge of corruption through ICT. MIS Quarterly, 40(2), 511–526.

    Article  Google Scholar 

  62. Srivastava, S. C., & Teo, T. S. (2008). The relationship between e-government and national competitiveness: The moderating influence of environmental factors. Communications of the association for information systems, 23(1), 5.

    Google Scholar 

  63. Tapscott, D. (1996). The digital economy: Promise and peril in the age of networked intelligence (Vol. 1). New York: McGraw-Hill.

    Google Scholar 

  64. Teece, D. J. (1986). Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy. Research Policy, 15(6), 285–305.

    Article  Google Scholar 

  65. Transparency International. (2008). Corruption perceptions index 2008. Retrieved from https://www.transparency.org/research/cpi/cpi_2008/results.

  66. Transparency International. (2010). Corruption perceptions index 2010. Retrieved from https://www.transparency.org/research/cpi/cpi2010/results.

  67. Transparency International. (2012). Corruption perceptions index 2012. Retrieved from https://www.transparency.org/research/cpi/cpi2012/results.

  68. Transparency International. (2014). Corruption perceptions index 2013. Retrieved from https://www.transparency.org/cpi2014/results.

  69. Transparency International. (2016). Corruption perceptions index 2016. Retrieved from https://www.transparency.org/news/feature/corruption_perceptions_index_2016.

  70. United Nations Department of Economic and Social Affairs. (2008). From e-government to connected governance. Retrieved from https://publicadministration.un.org/egovkb/Portals/egovkb/Documents/un/2008-Survey/unpan028607.pdf.

  71. United Nations Department of Economic and Social Affairs. (2010). Government for the future we want. Retrieved from https://publicadministration.un.org/egovkb/Portals/egovkb/Documents/un/2010-Survey/Complete-survey.pdf.

  72. United Nations Department of Economic and Social Affairs. (2012). E-government for the People. Retrieved from https://publicadministration.un.org/egovkb/Portals/egovkb/Documents/un/2012-Survey/Complete-Survey.pdf.

  73. United Nations Department of Economic and Social Affairs. (2014). Government for the Future We Want. Retrieved from https://publicadministration.un.org/egovkb/Portals/egovkb/Documents/un/2014-Survey/E-Gov_Complete_Survey-2014.pdf.

  74. United Nations Department of Economic and Social Affairs. (2016). E-Government in Support of Sustainable Development. Retrieved from http://workspace.unpan.org/sites/Internet/Documents/UNPAN97453.pdf.

  75. United Nations Department of Economic and Social Affairs. (2003). UN global e-government survey 2003. Retrieved from https://publicadministration.un.org/egovkb/Portals/egovkb/Documents/un/2003-Survey/Complete-Survey.pdf.

  76. United Nations Department of Economic and Social Affairs. (2005). From e-Government to e-Inclusion. Retrieved from https://publicadministration.un.org/egovkb/Portals/egovkb/Documents/un/2005-Survey/Complete-survey.pdf.

  77. United Nations Development Programme (India), & Macmillan India Limited. (2008). Tackling corruption, transforming lives: accelerating human development in Asia and the Pacific. Published for UNDP by Macmillan India Ltd.

  78. Van Slyke, D. M., & Hammonds, C. A. (2003). The privatization decision: Do public managers make a difference? The American Review of Public Administration, 33(2), 146–163.

    Article  Google Scholar 

  79. Wescott, C. G. (2001). E-Government in the Asia-pacific region. Asian Journal of Political Science, 9(2), 1–24.

    Article  Google Scholar 

  80. Zhao, X., & Xu, H. D. (2015). E-government and corruption: A longitudinal analysis of countries. International Journal of Public Administration, 38(6), 410–421.

    Article  Google Scholar 

  81. Zheng, Y. (2016). The impact of E-participation on corruption: a cross-country analysis. International Review of Public Administration, 21(2), 91–103.

    Article  Google Scholar 

  82. Zhou, K. Z., & Fang, W. U. (2010). Technological capability, strategic flexibility, and product innovation. Strategic Management Journal, 31(5), 547–561.

    Google Scholar 

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Acknowledgements

The authors thank the anonymous reviewers and Associate Editor for their insightful and constructive comments on earlier versions. This study was supported financially by the National Social Science Foundation of China (NSSF, 13CGL145).

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  1. School of Economics and Finance, Xi’an Jiaotong University, Xi’an, China

    Lihua Wang

  2. Anderson School of Management, University of New Mexico, Albuquerque, NM, USA

    Xin(Robert) Luo & M. Peter Jurkat

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Wang, L., Luo, X. & Jurkat, M.P. Understanding Inconsistent Corruption Control through E-government Participation: Updated Evidence from a Cross-Country Investigation. Electron Commer Res 22, 979–1006 (2022). https://doi.org/10.1007/s10660-020-09444-x

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