Volume 26, Issue 3 (Autunm 2021)
JPBUD 2021, 26(3): 75-99 |
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Rahimzadeh F, Shokouhifard S, Hoseinzadeh H, Miraskari R. (2021). The Impact of the Internet on Corruption in OIC Countries: An Inter-Country Panel Study. JPBUD. 26(3), 75-99. doi:10.52547/jpbud.26.3.79
URL: http://jpbud.ir/article-1-2017-en.html
URL: http://jpbud.ir/article-1-2017-en.html
1- Department of Economic and Accounting, Faculty of Literature and Humanities, University of Guilan, Rasht, Iran
2- Young Researchers and Elite Club, Ardabil Branch, Islamic Azad University, Ardabil, Iran. , Siyamak.Shokohifard@gmail.com
3- Department of Mathematics, Ardabil Branch, Islamic Azad University, Ardabil, Iran.
4- Department of Economic and Accounting, Faculty of Literature and Humanities, University of Guilan, Rasht, Iran.
2- Young Researchers and Elite Club, Ardabil Branch, Islamic Azad University, Ardabil, Iran. , Siyamak.Shokohifard@gmail.com
3- Department of Mathematics, Ardabil Branch, Islamic Azad University, Ardabil, Iran.
4- Department of Economic and Accounting, Faculty of Literature and Humanities, University of Guilan, Rasht, Iran.
Abstract: (2247 Views)
Corruption is a well-known and prevalent phenomenon in developing countries such as Iran. One of the effective factors in reducing corruption and increasing the level of transparency is the use of information and communication technology (ICT) tools. This study investigates the impacts of ICT on corruption in the selected OIC countries for the period 2002-2020. Before estimating the model by panel data approach, the existence of cross-sectional dependence has been tested and ratified in the studied countries. Therefore, to obtain reliable results, the Cup-FM Method was used to estimate the model. Based on the results of model estimation, the impact of ICT components on corruption has been negative and significant. Correspondingly, the impact of inflation, per capita income, and the rule of law on corruption are significantly positive, negative, and negative, respectively. Furthermore, trade openness has a positive, but not statistically significant, impact on the corruption index.
Keywords: Corruption, Internet, ICT, Selected Member Countries of the Organization of Islamic Cooperation, Panel Data, Cup-FM.
Type of Study: Research |
Subject:
economic development, regional economics and growth
Received: May 28 2021 | Accepted: Dec 29 2021 | ePublished: Mar 06 2022
Received: May 28 2021 | Accepted: Dec 29 2021 | ePublished: Mar 06 2022
References
1. Ades, A., & Di Tella, R. (1999). Rents, Competition, and Corruption. American Economic Review, 89(4), 982-993. [DOI:10.1257/aer.89.4.982]
2. Alsarhan, A. A. (2019). Determinants of Corruption in Middle East Countries: Evidence from Panel Data. International Journal of Economic Behavior and Organization, 7(4), 57-63.
3. Anderson, K. K. (2009). Organizational Capabilities as Predictors of Effective Knowledge Management: An Empirical Examination: Nova Southeastern University.
4. Bai, J., Kao, C., & Ng, S. (2009). Panel Cointegration with Global Stochastic Trends. Journal of Econometrics, 149(1), 82-99. [DOI:10.1016/j.jeconom.2008.10.012]
5. Ben Ali, M. S., & Gasmi, A. (2017). Does ICT Diffusion Matter for Corruption? An Economic Development Perspective. Telematics and Informatics, 34(8), 1445-1453. [DOI:10.1016/j.tele.2017.06.008]
6. Ben Ali, M. S., & Krammer, S. M. (2016). The Role of Institutions in Economic Development. In Economic Development in the Middle East and North Africa (pp. 1-25): Springer. [DOI:10.1057/9781137480668_1]
7. Ben Ali, M. S., & Mdhillat, M. (2015). Does Corruption Impede International Trade? New Evidence from the EU and the MENA Countries. Journal of Economic Cooperation and Development, 36(4), 107-120.
8. Ben Ali, M. S., & Sassi, S. (2016). The Corruption-Inflation Nexus: Evidence from Developed and Developing Countries. The BE Journal of Macroeconomics, 16(1), 125-144. [DOI:10.1515/bejm-2014-0080]
9. Ben Ali, M. S., & Sassi, S. (2017). The Role of ICT Adoption in Curbing Corruption in Developing Countries. In Catalyzing Development Through ICT Adoption (pp. 37-50): Springer. [DOI:10.1007/978-3-319-56523-1_4]
10. 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. [DOI:10.1016/j.giq.2018.07.006]
11. Broadman, H. G., & Recanatini, F. (2002). Corruption and Policy: Back to the Roots. The Journal of Policy Reform, 5(1), 37-49. [DOI:10.1080/13841280212381]
12. Brown, D. S., Touchton, M., & Whitford, A. B. (2011). Political Polarization as a Constraint on Government: Evidence from Corruption. World Development, 39(9), 1516-1529. [DOI:10.1016/j.worlddev.2011.02.006]
13. De Jong, E., & Bogmans, C. (2011). Does Corruption Discourage International Trade? European Journal of Political Economy, 27(2), 385-398. [DOI:10.1016/j.ejpoleco.2010.11.005]
14. Elbahnasawy, N. G., & Revier, C. F. (2012). The Determinants of Corruption: Cross‐Country‐Panel‐Data Analysis. The Developing Economies, 50(4), 311-333. [DOI:10.1111/j.1746-1049.2012.00177.x]
15. Fisman, R., & Gatti, R. (2002). Decentralization and Corruption: Evidence across Countries. Journal of Public Economics, 83(3), 325-345. [DOI:10.1016/S0047-2727(00)00158-4]
16. Garcia-Murillo, M. (2013). Does a Government Web Presence Reduce Perceptions of Corruption? Information Technology for Development, 19(2), 151-175. [DOI:10.1080/02681102.2012.751574]
17. García-Murillo, M., & Ortega, R. (2010). Do E-Government Initiatives Reduce Corruption? Available at SSRN 2012470. [DOI:10.2139/ssrn.2012470]
18. Getz, K. A., & Volkema, R. J. (2001). Culture, Perceived Corruption, and Economics: A Model of Predictors and Outcomes. Business & Society, 40(1), 7-30. [DOI:10.1177/000765030104000103]
19. Ghaemi, A. M., & Valaei, F. (2020). Reviewing the Effect of Administrative Corruption on Financial Health in Iranian Banking System. The Economic Research, 20(2), 177-212. [Link:http://ecor.modares.ac.ir/article-18-34335-fa.html]
20. Goldsmith, A. A. (1999). Slapping the Grasping Hand: Correlates of Political Corruption in Emerging Markets. American Journal of Economics and Sociology, 58(4), 865-883. [DOI:10.1111/j.1536-7150.1999.tb03398.x]
21. Gupta, S., Davoodi, H., & Alonso-Terme, R. (2002). Does Corruption Affect Income Inequality and Poverty? Economics of Governance, 3(1), 23-45. [DOI:10.1007/s101010100039]
22. Gurgur, T., & Shah, A. (2005). Localization and Corruption: Panacea or Pandora's Box? (Vol. 3486): World Bank Publications. [DOI:10.1596/1813-9450-3486]
23. Heeks, R. (1998). Information Technology and Public Sector Corruption. Information Systems for Public Sector Management Working Paper No. 4. [DOI:10.2139/ssrn.3540078]
24. Heidari, H., Alinazhad, R., Mohseni, Z. S. J., & Jahangirzadeh, J. (2014). An Investigation of Corruption and Economic Growth Nexus: Some Evidence from D-8 Countries. Economics Research, 14(55), 157-183. [Link:http://joer.atu.ac.ir/article_926.html]
25. Huang, C.-J. (2016). Is Corruption Bad for Economic Growth? Evidence from Asia-Pacific Countries. The North American Journal of Economics and Finance, 35(1), 247-256. [DOI:10.1016/j.najef.2015.10.013]
26. Kaufmann, D., Kraay, A., & Mastruzzi, M. (2009). Governance Matters VIII: Aggregate and Individual Governance Indicators, 1996-2008. World Bank Policy Research Working Paper No. 4978. [DOI:10.1596/1813-9450-4978]
27. Khodaparast, M., & Kordi, A. (2018). The Impact of Various Combinations of Corruption on Attracting Capital in Developing Countries Parallel with Iran. Journal of Applied Economics Studies in Iran, 7(25), 155-175. [DOI:https://dx.doi.org/10.22084/aes.2017.537.1]
28. Knack, S., & Azfar, O. (2003). Trade Intensity, Country Size and Corruption. Economics of Governance, 4(1), 1-18. [DOI:10.1007/s101010200051]
29. Kunicova, J., & Rose-Ackerman, S. (2005). Electoral Rules and Constitutional Structures as Constraints on Corruption. British Journal of Political Science, 35(4), 573-606. [DOI:10.1017/S0007123405000311]
30. Lederman, D., Loayza, N. V., & Soares, R. R. (2005). Accountability and Corruption: Political Institutions Matter. Economics & Politics, 17(1), 1-35. [DOI:10.1111/j.1468-0343.2005.00145.x]
31. Lio, M.-C., Liu, M.-C., & Ou, Y.-P. (2011). Can the Internet Reduce Corruption? A Cross-Country Study Based on Dynamic Panel Data Models. Government Information Quarterly, 28(1), 47-53. [DOI:10.1016/j.giq.2010.01.005]
32. Mangafić, J., & Veselinović, L. (2020). The Determinants of Corruption at the Individual Level: Evidence from Bosnia-Herzegovina. Economic Research-Ekonomska Istraživanja, 33(1), 2670-2691. [DOI:10.1080/1331677X.2020.1723426]
33. Mehregan, N., Sahabi, B., & Mohammadamini, M. (2015). The Impact of Information and Communication Technology Development Index (IDI) on Corruption in Middle-Income Countries. Quarterly Journal of Applied Theories of Economics, 2(2), 43-60. [Link:https://ecoj.tabrizu.ac.ir/article_4266.html]
34. Motefaker Azad, M. A., Jameh Shoorani, Z., & Heideri Dad, Z. (2014). The Effect of E-Government on the Reduction of Economic Corruption in Islamic Countries Selected. Economic Modeling, 7(24), 37-51. [Link:http://eco.iaufb.ac.ir/article_554921.html]
35. Pesaran, M. (2004). General Diagnostic Tests for Cross Section Dependence in Panels (CESifo Working Paper Series No. 1229; IZA Discussion Paper No. 1240). The CESifo Group & Institute for the Study of Labor. [DOI:10.2139/ssrn.572504]
36. Rahmani, T., & Esfahaney, P. (2016). An Examination of the Determinants of Corruption with Emphasis on Economic Activities Combination: A Cross-Country Study. Journal of Economic Research and Policies 24(78), 207-228. [Link:http://qjerp.ir/article-1-1287-fa.html]
37. Saha, S., & Ben Ali, M. S. (2017). Corruption and Economic Development: New Evidence from the Middle Eastern and North African Countries. Economic Analysis and Policy, 54(1), 83-95. [DOI:10.1016/j.eap.2017.02.001]
38. Sameti, M., Kenary, S. S., & Gharakhani, S. (2014). The Investigation of Internet Effect on Financial Corruption Case study: Iran and Some Selected Developing Countries (2002-2009). International Journal of Academic Research in Business and Social Sciences, 4(7), 450-462. [DOI:10.6007/IJARBSS/v4-i7/1036]
39. Sandholtz, W., & Koetzle, W. (2000). Accounting for Corruption: Economic Structure, Democracy, and Trade. International Studies Quarterly, 44(1), 31-50. [DOI:10.1111/0020-8833.00147]
40. Sassi, S., & Ben Ali, M. S. (2017). Corruption in Africa: What Role Does ICT Diffusion Play. Telecommunications Policy, 41(7-8), 662-669. [DOI:10.1016/j.telpol.2017.05.002]
41. Seldadyo, H., & De Haan, J. (2006). The Determinants of Corruption: A Literature Survey and New Evidence. Paper Presented at the EPCS Conference, Turku, Finland.
42. Setor, T. K., Senyo, P., & Addo, A. (2021). Do Digital Payment Transactions Reduce Corruption? Evidence from Developing Countries. Telematics and Informatics, 60(1), 253-270. [DOI:10.1016/j.tele.2021.101577]
43. Shim, D. C., & Eom, T. H. (2009). Anticorruption Effects of Information Communication and Technology (ICT) and Social Capital. International Review of Administrative Sciences, 75(1), 99-116. [DOI:10.1177/0020852308099508]
44. ShokouhiFard, S., Aleemran, R., Rahimzadeh, F., & Farhang, A. (2020). Investigating the Impact of Corruption on Ease of Doing Business (Evidence from Iran and selected Islamic countries). Journal of Economics and Regional Development, 27(19), 103-132. [DOI:https://dx.doi.org/10.22067/erd.2021.18767.0]
45. Swamy, A., Knack, S., Lee, Y., & Azfar, O. (2001). Gender and Corruption. Journal of Development Economics, 64(1), 25-55. [DOI:10.1016/S0304-3878(00)00123-1]
46. Transparency International (2018). Corruption Perceptions Index. https://www.transparency.org/en/cpi/2018
47. Transparency International (2020). Corruption Perceptions Index. https://www.transparency.org/en/cpi/2020
48. Westerlund, J., & Edgerton, D. L. (2008). A Simple Test for Cointegration in Dependent Panels with Structural Breaks. Oxford Bulletin of Economics and Statistics, 70(5), 665-704. [DOI:10.1111/j.1468-0084.2008.00513.x]
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