skip to main content
10.1145/3616712.3616747acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicemeConference Proceedingsconference-collections
research-article

Government Effectiveness in the Multinomial Logistic Model

Published:15 December 2023Publication History

ABSTRACT

This paper aims to present the determinants of government effectiveness, which has become an important factor in economic and social development. To achieve this purpose, the multinomial logistic model is utilized. The six independent variables, namely internet penetration, control of corruption, political stability, regulatory quality, voice and accountability, and rule of law which are identified from the related literature, are investigated to identify their effect on the level of government effectiveness. Based on the 2021 cross-sectional data of 200 countries obtained from the World Bank database, it revealed logistic regression and marginal analysis that the level of government effectiveness is significantly affected by control of corruption, regulatory quality, rule of law, and internet penetration. To achieve a high level of government effectiveness, government authorities should therefore pay special attention to the practices that promote the enhancement of these determinants.

References

  1. M. Ü. Şaşmaz and E. N. Sağdiç, “The Effect of Government Effectiveness and Rule of Law on Economic Growth: The Case of European Union Transition Economies,” Dokuz Eylül Üniversitesi İşletme Fakültesi Dergisi, vol. 21, no. 1, pp. 203–217, 2020, doi: 10.24889/ifede.729490.Google ScholarGoogle ScholarCross RefCross Ref
  2. World Bank, “Government Effectiveness,” World Bank, 2021. https://info.worldbank.org (accessed Feb. 07, 2023).Google ScholarGoogle Scholar
  3. P. C. Magalhães, “Government effectiveness and support for democracy,” European Journal of Political Research, vol. 53, pp. 77–97, 2017.Google ScholarGoogle ScholarCross RefCross Ref
  4. R. Best and P. Burke, “The Importance of Government Effectiveness for Transitions toward Greater Electrification in Developing Countries,” Energies, vol. 10, no. 9, pp. 1–17, 2017, doi: 10.3390/en10091247.Google ScholarGoogle ScholarCross RefCross Ref
  5. M. R. Md Rafayet, E. Kitenge, and B. Bedane, “Government Effectiveness and Economic Growth,” Economics Bulletin, vol. 37, no. 1, pp. 222–227, 2017.Google ScholarGoogle Scholar
  6. M. Ghulam and J. Muhammad, “Testing the Governance-Productivity Nexus for Emerging Asian Countries,” The Lahore Journal of Economics, vol. 23, no. 1, pp. 143–169, 2018.Google ScholarGoogle ScholarCross RefCross Ref
  7. S. Akinbode, J. Olabisi, R. Adegbite, T. Aderemi, and A. Alawode, “Corruption, Government Effectiveness and Human Developmentin Sub-Saharan Africa,” JADE, pp. 16–34, 2020, doi: 10.32873/unl.dc.jade912.Google ScholarGoogle ScholarCross RefCross Ref
  8. D. Hauner and A. Kyobe, “Determinants of government efficiency,” World Development, vol. 38, no. 11, pp. 1527–1542, 2010.Google ScholarGoogle ScholarCross RefCross Ref
  9. H. Voghouei and M. A. Jamali, “Determinants of government efficiency: does information technology play a role?,” Eurasian Business Review, vol. 8, no. 3, pp. 285–298, 2018.Google ScholarGoogle ScholarCross RefCross Ref
  10. J. Milán‐García, N. Rueda‐López, and J. De Pablo‐Valenciano, “Local government efficiency: reviewing determinants and setting new trends,” International Transactions in Operational Research, vol. 29, no. 5, pp. 2871–2898, 2022.Google ScholarGoogle ScholarCross RefCross Ref
  11. M. Metalia, S. W. Zarkasyi, and H. Sugarman, “Factors Affecting the Performance of Indonesian Government´ s Internal Supervisory,” Utopía y Praxis Latinoamericana, vol. 25, no. Esp. 10, pp. 498–513, 2020.Google ScholarGoogle Scholar
  12. K. C. T. Duho, M. O. Amankwa, and J. I. Musah-Surugu, “Determinants and convergence of government effectiveness in Africa and Asia,” PAP, vol. 23, no. 2, pp. 199–215, 2020, doi: 10.1108/PAP-12-2019-0039.Google ScholarGoogle ScholarCross RefCross Ref
  13. Y. Wang, Z. Sha, X. Tan, H. Lan, X. Liu, and J. Rao, “Modeling urban growth by coupling localized spatio-temporal association analysis and binary logistic regression,” Computers, Environment and Urban Systems, vol. 81, p. 101482, 2020.Google ScholarGoogle ScholarCross RefCross Ref
  14. J.-T. Huang, X. Xu, and T.-F. Chiang, “Household expectations for future economy and risk-taking attitudes,” Journal of Financial Counseling and Planning, vol. 27, no. 1, pp. 109–121, 2016.Google ScholarGoogle ScholarCross RefCross Ref
  15. D. Yuan, X. Zhang, H. Bao, and Y. Fu, “The self-employment of the industry choices of dispossessed farmers in China,” Journal of Rural Studies, vol. 55, pp. 143–156, 2017.Google ScholarGoogle ScholarCross RefCross Ref
  16. B. Zou, A. K. Mishra, and B. Luo, “Aging population, farm succession, and farmland usage: Evidence from rural China,” Land Use Policy, vol. 77, pp. 437–445, 2018.Google ScholarGoogle ScholarCross RefCross Ref
  17. A. Abdulhafedh, “Incorporating the multinomial logistic regression in vehicle crash severity modeling: A detailed overview,” Journal of Transportation Technologies, vol. 7, no. 03, pp. 279–303, 2017.Google ScholarGoogle ScholarCross RefCross Ref
  18. D. Kaufmann, A. Kraay, and M. Mastruzzi, “The Worldwide Governance Indicators,” Policy Research Working Paper 5430, 2010. [Online]. Available: file:///C:/Users/Pinmanee%20Vajrapatkul/Downloads/SSRN-id1682130.pdfGoogle ScholarGoogle Scholar

Index Terms

  1. Government Effectiveness in the Multinomial Logistic Model

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      ICEME '23: Proceedings of the 2023 14th International Conference on E-business, Management and Economics
      July 2023
      507 pages
      ISBN:9798400708022
      DOI:10.1145/3616712

      Copyright © 2023 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 15 December 2023

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article
      • Research
      • Refereed limited
    • Article Metrics

      • Downloads (Last 12 months)10
      • Downloads (Last 6 weeks)2

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format .

    View HTML Format