Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Eurasian Business Review
Erschienen in: Eurasian Business Review 3/2018

11.10.2017 | Original Paper

Determinants of government efficiency: does information technology play a role?

verfasst von: Hatra Voghouei, Mohammad Ali Jamali

Erschienen in: Eurasian Business Review | Ausgabe 3/2018

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

This paper tries to analyze the effects of information technology on the government efficiency. The study is done by using system GMM from data of 51 countries during 2003 until 2010. The results show that efficiency of government positively responds to changes in information technology expenditure whether in the government and in the total society. The findings also imply that transparency and control corruption has positive effect on efficiency of government. Furthermore, government expenditure delivers negative effect on government efficiency. The study also finds that CPI as a proxy for inflation increases significantly the efficiency of government.
Vorheriger Artikel Leader-member exchange and organizational citizenship behavior in hospitality industry: a study on effect of gender
Nächster Artikel Environmental regulation and eco-innovation: the Porter hypothesis refined

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren
Anhänge
Nur mit Berechtigung zugänglich
Fußnoten
1
Given their rapid growth, but it is well-known that the demand for public services tends to rapidly increase as countries become richer (the so-called Wagner effect).
 
2
The term e-government in general refers to the use by government agencies of information technologies (such as wide area networks, the internet and mobile computing) that have the ability to transform relations with citizens, businesses and other arms of government (Harihara and Basden 2008).
 
3
“Musgravian” variables assess governments’ performance in allocation, distribution, and stabilization and they are number of socio-economic indicators which serve as proxies for performance.
 
4
Since some of the variables show high correlation, the variance inflation factor test has been done to check collinearity which the result also has showed in Appendix D.
 
5
Arellano, Bond, developed one and two-step generalized method of moment (GMM) estimators for panel data analysis. GMM prevents deflection of the underlying data generation process to outrage of heteroskedasticity and normality, although they are asymptotically normal but there are other estimators which are most efficient than these one.
 
6
The totalit1, govit1, trans1 and cottupt1 show the first level of these variable in the model.
 
7
A dummy variable for taking into account differences among developed and developing countries was initially included, but, as it did not turn out to be statistically significant, we chose not to maintain it in the final specification.
 
Literatur
Acemoglu, D., Ticchi, D., Vindigni, A. (2006). Emergence and persistence of inefficient states. NBER Working Papers No. 12748.
Adam, A. M., Delis, D., & Kammas, P. (2009). Are democratic governments more efficient? European Journal of Political Economy, 23, 1038–1052.CrossRef
Afonso, A., Schuknecht, L., & Tanzi, V. (2003). Public sector efficiency: an international comparison. ECB Working Paper no. 242, forthcoming in Public Choice.
Afonso, A., Schuknecht, L., Tanzi, V. (2006). Public sector efficiency: evidence for the new EU member states and emerging markets. Working paper no. 581, European Central Bank, Frankfurt, Germany.
Alesina, A., Baqir, R., & Easterly, W. (1999). Public goods and ethnic divisions. Quarterly Journal of Economics, 114, 1243–1284.CrossRef
Alesina, A., Devleeschauwer, A., Easterly, W., Kurlat, S., & Wacziarg, R. (2003). Fractionalization. Journal of Economic Growth, 8, 155–194.CrossRef
Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies, 58, 277–297.CrossRef
Arellano, M., & Bover, O. (1995). Another look at the instrumental variables estimation of error component models. Journal of Econometrics, 68, 29–51.CrossRef
Bauer, R. (1966). Social Indicators. Cambridge: MIT Press.
Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87, 115–143.CrossRef
Curthoys, N., & Crabtree, J. (2003). SmartGov—renewing electronic government for improved service delivery. London: The Works Foundation.
Davies, T., & Fumega, S. (2014). Mixed incentives: adopting ICT innovations for transparency, accountability, and anti-corruption. U4 Issue 2014(4).
Easterly, W., & Levine, R. (1997). Africa’s growth tragedy: policies and ethnic divisions. Quarterly Journal of Economics, 112, 1203–1250.CrossRef
Evans, D. A., Tandon, C., Murray, J. L., & Lauer J. A. (2001). The comparative efficiency of national health systems in producing health: an analysis of 191 countries. World Health Organization GPE Discussion Paper Series No. 29.
Gupta, S., & Verhoeven, M. (2001). The efficiency of government expenditure: experiences from Africa. Journal of Policy Modeling, 23, 433–467.CrossRef
Hatry, H. (1980). Performance measurement principles and techniques: an overview for local government. Public Productivity Review, 4(4), 312–339.CrossRef
Hauner, D., & Kyobe, A. (2008). Determinants of Government efficiency. IMF Working Papers 08/228, International Monetary Fund.
Heller, P., & Hauner, D. (2006). Fiscal policy in the face of long-term expenditure uncertainties. International Tax and Public Finance, 13, 325–350.CrossRef
Hellman, J. S., Jones, G., & Kaufmann, D. (2000). Seize the state, seize the day: state capture, corruption and influence in transition. Washington: EBRD/World Bank.CrossRef
Kraemer, K. L., Dedrick, J., Hwang, C. Y., Tu, T. C., & Yap, C. S. (1996). Entrepreneurship, flexibility and policy coordination: Taiwan’s information technology industry. The Information Society, 12(3), 215–249.CrossRef
Kraemer, K. L., & Leslie, J. (1986). Computing and public organizations. Public Administration Review, 46, 488–496.CrossRef
La Porta, R., Lopez-de-Silanes, F., Shleifer, A., & Vishny, R. W. (1999). The quality of government. Journal of Law, Economics, and Organization, 15, 222–279.CrossRef
Lee, J. (2010). 10 years retrospect on stage models on e-Government: a qualitative meta-synthesis. Government Information Quarterly, 27(3), 220–230.CrossRef
Mauro, P. (1995). Corruption and growth. Quarterly Journal of Economics, 110, 681–712.CrossRef
Mayer-Schönberger, V., & Lazer, D. (Eds.). (2007). Governance and information technology—from electronic government to information government. Cambridge: MIT Press.
Merkel, W., & Croissant, A. (2000). Formale und Informale Institutionen in defekten Demokratien. Politische Vierteljahresschrift 41(1), 3–30.
Nascio. (2006). Looking to the future: Challenges & opportunities for government IT project management offices.
Nascio. (2007). Best practices in the use of information technology in state government.
Nickell, S. (1981). Baises in dynamic models with fixed effects. Econometrica, 49, 1417–1426.CrossRef
Oliveira, F. G. (2012). Empirical determinants of government efficiency: A study based on objective indicators, working papers de economia (economics working papers) 03. Católica Porto Business School, Universidade Católica Portuguesa.
Osborne, D., & Gaebler, T. (1992). Reinventing government: how the entrepreneurial spirit is transforming the public sector. MA: Addison-Wesley.
Silcock, R. (2001). What is e-government? Parliamentary Affairs, 54, 88.CrossRef
Tang, Z., Hull, C. E., & Rothenberg, S. (2012). How corporate social responsibility engagement strategy moderates the CSR-financial performance relationship. Journal of Management Studies, 49, 1274–1303.CrossRef
Taylor, F. W. (1911). The principles of scientific management. New York: Harper & Brothers.
Tolbert, C. J., & Mossberger, K. (2006). The effects of e-government on trust and confidence in government. Public Administration Review, 66(3), 354–369.CrossRef
Torres, L., Pina, V., & Royo, S. (2005). E-government and the transformation of public administrations in EU countries: beyond NPM or just a second wave of reforms? Online Information Review, 29(5), 531–553.CrossRef
Ubaldi, B. (2013). Open government data: towards empirical analysis of open government data initiatives. OECD Working Papers on Public Governance, No. 22, OECD Publishing.
Wescott, C., Pizarro, M., & Schiavo-Campo, S. (2001). The role of information and communication technology (ICT) for improving public administration. In S. Schiavo-Campo & P. Sundaram (Eds.), To serve and to preserve: improving public administration in a competitive world. Manila: Asian Development Bank.
West, D. (2005). Digital government: technology and public sector performance. Princeton: Princeton University Press.
Wilson, W. (1887). The study of administration. Political Science Quarterly, 2(2), 197–222.CrossRef
Metadaten
Titel
Determinants of government efficiency: does information technology play a role?
verfasst von
Hatra Voghouei
Mohammad Ali Jamali
Publikationsdatum
11.10.2017
Verlag
Springer International Publishing
Erschienen in
Eurasian Business Review / Ausgabe 3/2018
Print ISSN: 1309-4297
Elektronische ISSN: 2147-4281
DOI
https://doi.org/10.1007/s40821-017-0088-2

Weitere Artikel der Ausgabe 3/2018

Eurasian Business Review 3/2018 Zur Ausgabe

Original Paper

The journey towards open innovation: why do firms choose different routes?

Original Paper

Leader-member exchange and organizational citizenship behavior in hospitality industry: a study on effect of gender

Original Paper

Export-led growth in the UAE: multivariate causality between primary exports, manufactured exports and economic growth

Publisher Correction

Publisher Correction: Export-led growth in the UAE: multivariate causality between primary exports, manufactured exports and economic growth

Original Paper

Environmental regulation and eco-innovation: the Porter hypothesis refined

Original Paper

The association between competition power in markets and tax avoidance: evidence from Tehran stock exchange