Access Journal

Access to Science, Business, Innovation in the Digital Economy

E-government development and governance in MENA countries: an empirical study

Published Online: Nov 13, 2023
Views: 876
Downloads: 116
Download PDF

Abstract:
Objectives: The objective of this study is to examine the impact of e-government on a battery of governance indicators in a sample of 17 Middle East and North African countries during the period 2003-2019. Methods/Approach: The analysis is based on advanced econometric tools, which consist of second-generation panel data techniques allowing the control of cross-section dependence and slope homogeneity when estimating the short- and long-run impacts of e-government on governance. Results: The preliminary analysis suggests the presence of slope homogeneity and cross-section dependence in the data, while the second-generation panel unit root test indicate that all variables are stationary at first-difference. The second-generation panel cointegration test indicates the existence of long-run relationships between e-government adoption and governance indicators. Furthermore, the PMG-ARDL confirms that role of e-government in reducing corruption and improving the rule of law in the long-run. On the other hand, no significant impact of e-government on voice and accountability, government effectiveness, and regulatory quality were detected. The short-run analysis also reveals no effects on governance. Conclusions: These results are important for improving institutional quality in the MENA region via the adoption of e-government.
Keywords:
Pages:
7-20
JEL Classification:
A10; C23; H83
How to cite:
Al-Refai, M.S., Saad, M.A. E-government development and governance in MENA countries: an empirical study. (2024). Access to science, business, innovation in the digital economy, ACCESS Press, 5(1), 7-20, https://doi.org/10.46656/access.2024.5.1(1)
References:
  • Acharya, B., Lee, J., Moon, H. (2022). Preference heterogeneity of local government for implementing ICT infrastructure and services through public-private partnership mechanism. Socio-Economic Planning Sciences, Volume 79, 101103, https://doi.org/10.1016/j.seps.2021.101103
  • Ades, A., Di Tella, R. (1999). Rents, competition, and corruption. American Economic Review, 89(4), 982-993. DOI: 10.1257/aer.89.4.982
  • Al-Hussaini, A., Al-Mutairi, Naser N.M., Thuwaini, Shebiab F. (2013). The impact of adopting e-government on reduce administrative corruption: empirical evidence from Kuwait’s public sector. Academy of Contemporary Research Journal, 2 (2): 31-43
  • Aljukhadar, M., Belisle, J. F., Dantas, D. C., Sénécal, S., Titah, R. (2022). Measuring the service quality of governmental sites: Development and validation of the e-Government service quality (EGSQUAL) scale. Electronic Commerce Research and Applications, 55, 101182
  • Al‐Marhubi, F. (2004). The determinants of governance: A cross‐country analysis. Contemporary Economic Policy, 22(3), 394-406. https://doi.org/10.1093/cep/byh029
  • Al-Refai, M. S. (2020). The impact of e-government on economic growth in GCC countries. International Review, (1-2), 18-26
  • Al-Sadiq, M. A. J. (2021). The Role of E-Government in Promoting Foreign Direct Investment Inflows. IMF Working Paper 21/8, International Monetary Fund
  • Andersen, T. B. (2009). E-Government as an anti-corruption strategy. Information Economics and Policy, 21(3), 201-210. https://doi.org/10.1016/j.infoecopol.2008.11.003
  • Avotra, A. A. R. N., Chengang, Y., Sandra Marcelline, T. R., Asad, A., Yingfei, Y. (2021). Examining the impact of e-government on corporate social responsibility performance: the mediating effect of mandatory corporate social responsibility policy, corruption, and information and communication technologies development during the COVID era. Frontiers in Psychology, 12, 737100. doi: 10.3389/fpsyg.2021.737100
  • Azim, R. M. H. A., Salman, O., El Henawy, I. (2020). The role of e-government as a stimulus for economic growth. The International Journal of Business Management and Technology, 4(5), 69-79
  • Baltagi, B. H., Feng, Q., Kao, C. (2012). A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model. Journal of Econometrics, 170(1), 164-177
  • 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), p. 134-154
  • Çalışkan, H. K. (2015). Technological change and economic growth. Procedia-Social and Behavioral Sciences, Volume 195, 649-654. https://doi.org/10.1016/j.sbspro.2015.06.174
  • Chen, L., Aklikokou, A. K. (2021). Relating e-government development to government effectiveness and control of corruption: a cluster analysis. Journal of Chinese Governance, 6(1), 155-173. DOI: 10.1080/23812346.2019.1698693
  • 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
  • Elbahnasawy, N. G. (2014). E-government, internet adoption, and corruption: an empirical investigation. World Development, 57, 114-126. https://doi.org/10.1016/j.worlddev.2013.12.005
  • Fife, E., Hosman, L. (2007). Public private partnerships and the prospects for sustainable ICT projects in the developing world. Journal of Law and Governance, 2(3). https://doi.org/10.15209/jbsge.v2i3.110
  • Garcia-Sanchez, I. M., Cuadrado-Ballesteros, B., Frias-Aceituno, J. (2013). Determinants of government effective-ness. International Journal of Public Administration, Taylor & Francis Journals, vol. 36(8), pages 567-577
  • Han, Y., Shao, X., Tsai, S., Fan, D., Liu, W. (2021). E-Government and Foreign Direct Investment: Evidence from Chinese Cities. Journal of Global Information Management (JGIM), 29(6), 1-17. http://doi.org/10.4018/JGIM.20211101.oa42
  • Hicham, A. (2019). The effect of terms of trade on current account balance: Harberger-Laursen-Metzler effect in Arabic countries. Journal of Smart Economic Growth, 4(1), 17-30
  • Jalava, J., Pohjola, M. (2002). Economic growth in the new economy: Evidence from advanced economies. Information Economics and Policy, 14(2), 189-210. https://doi.org/10.1016/S0167-6245(01)00066-X
  • Kalesnikaite, V., Neshkova, M. I., Ganapati, S. (2022). Parsing the impact of E‐government on bureaucratic corruption. Governance. https://doi.org/10.1111/gove.12707
  • Kan, D., Lyu, L., Huang, W., Yao, W. (2022). Digital Economy and the Upgrading of the Global Value Chain of China’s Service Industry. Journal of Theoretical and Applied Electronic Commerce Research, 17(4), 1279-1296. https://doi.org/10.3390/jtaer17040065
  • Kao, C. (1999). Spurious regression and residual-based tests for cointegration in panel data. Journal of Econometrics, 90(1), 1-44. https://doi.org/10.1016/S0304-4076(98)00023-2
  • Kim, K., An, J. (2022). Corruption as a Moderator in the Relationship between E-Government and Inward Foreign Direct Investment. Sustainability, 14(9), 4995. https://doi.org/10.3390/su14094995
  • Kossick Jr, R. M. (2002). Mexico's Emerging E-Government Program: The Role of the Internet in Promoting Economic Development, Democratic Governance, and the Rule of Law. Law and Business Review of the Americas, 8, 141. https://scholar.smu.edu/lbra/vol8/iss1/9
  • Krishnan, S., Teo, T.S.H., Lim, V.K.G. (2013). Examining the relationships among E-government maturity, corruption, economic prosperity and environmental degradation: A cross-country analysis. Information & Management, 50(8), 638-649. https://doi.org/10.1016/j.im.2013.07.003
  • Lee, S. Y., Whitford, A. B. (2009). Government effectiveness in comparative perspective. Journal of Comparative Policy Analysis, 11(2), 249-281. http://dx.doi.org/10.2139/ssrn.1081642
  • Li, Y., Shang, H. (2020). Service quality, perceived value, and citizens’ continuous-use intention regarding e-government: Empirical evidence from China. Information & Management, 57(3), 103197. https://doi.org/10.1016/j.im.2019.103197
  • Linhartová, V. (2017). The role of e-government in mitigating corruption. Scientific Papers of the University of Pardubice. Series D, Faculty of Economics and Administration. 40/2017, pp. 120-131
  • Mistry, J. J., Jalal, A. (2012). An empirical analysis of the relationship between e-government and corruption. International Journal of Digital Accounting Research, 12, 145-176. https://doi.org/10.4192/1577-8517-v12_6
  • Mouna, A., Nedra, B., Khaireddine, M. (2020). International comparative evidence of e-government success and economic growth: technology adoption as an anti-corruption tool. Transforming Government: people, process and policy, Vol. 14, 713-736. https://doi.org/10.1108/TG-03-2020-0040
  • Nam, T. (2019). Does e-Government raise effectiveness and efficiency? Examining the cross-national effect. Journal of Global Information Management, 27(3), 120-138. http://doi.org/10.4018/JGIM.2019070107
  • 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, 160-170
  • OECD (2023). Gross domestic spending on R&D. Available at: https://data.oecd.org/rd/gross-domestic-spending-on-r-d.htm (Accessed on December 20, 2022)
  • Osei‐Kojo, A. (2017). E‐government and public service quality in Ghana. Journal of Public Affairs, 17(3), e1620. https://doi.org/10.1002/pa.1620
  • Palaco, I., Park, M. J., Kim, S. K., Rho, J. J. (2019). Public–private partnerships for e-government in developing countries: An early stage assessment framework. Evaluation and Program Planning, vol.72, 205-218. DOI: 10.1016/j.evalprogplan.2018.10.015
  • Park, C. H., Kim, K. (2020). E-government as an anti-corruption tool: Panel data analysis across countries. International Review of Administrative Sciences, 86(4), 691-707. https://doi.org/10.1177/0020852318822055
  • Pedroni, P. (2004). Panel cointegration: asymptotic and finite sample properties of pooled time series test with an application to the PPP hypothesis. Econometric Theory, 20(3), 597-625
  • Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross‐section dependence. Journal of Applied Econometrics, 22(2), 265-312. https://doi.org/10.1002/jae.951
  • Pesaran, M. H. (2021). General diagnostic tests for cross-sectional dependence in panels. Empirical Economics, 60(1), 13-50. https://doi.org/10.1007/s00181-020-01875-7
  • Pesaran, M. H., Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of Econometrics, 142(1), 50-93. https://doi.org/10.1016/j.jeconom.2007.05.010
  • Piroșcă, G. I., ȘerbanOprescu, G. L., Badea, L., Stanef-Puică, M. R., Valdebenito, C. R. (2021). Digitalization and labor market - A perspective within the framework of pandemic crisis. Journal of Theoretical and Applied Electronic Commerce Research, 16(7), 2843-2857. https://doi.org/10.3390/jtaer16070156
  • Purnamasari, P., Frendika, R., binti Amran, N. A., Nor, M. N. M., Ismail, M. S. (2022). The Influence of E-Government Services on Corruption in Indonesia and Malaysia. KnE Social Sciences, 7(17), 222–234. https://doi.org/10.18502/kss.v0i0.12332
  • Rahman, A. (2023). Revisiting the Relationship between E-Government and Corruption: An Empirical Investigation. Athens Journal of Social Sciences, 9, 1-16
  • 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. DOI: 10.1080/01900690701590553
  • Silcock, R. (2001). What is e-government. Parliamentary Affairs, 54(1), 88-101. https://doi.org/10.1093/pa/54.1.88
  • Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and Statistics, 69(6), 709-748. https://doi.org/10.1111/j.1468-0084.2007.00477.x
  • Zhao, X., Xu, H. D. (2015). E-government and corruption: A longitudinal analysis of countries. International Journal of Public Administration, 38(6), 410-421. https://doi.org/10.1016/j.techfore.2021.120737

Publish your science journal

If you like ACCESS journals system, you can publish your journal with us at a reasonable price