ASSESSING GOOD GOVERNANCE PRACTICES AND DEVELOPMENT NEXUS: AN APPLICATION OF STRUCTURAL INVARIANCE ANALYSIS

  • Ibrahim Abiodun Oladapo Accounting Research Institute, Universiti Teknologi MARA
  • Normah Omar Accounting Research Institute, Universiti Teknologi MARA (UiTM), Shah Alam, Malaysia
  • Asmak Ab Rahman Department of Shariah and Economics, University of Malaya, Malaysia
  • Roshayani Arshad Accounting Research Institute, Universiti Teknologi MARA (UiTM), Shah Alam, Malaysia
  • Manal Mohammed Hamoudah Department of Accounting, King Abdulaziz University, Jeddah
  • Abdulazeez Adewuyi Abdurraheem Islamic Business School, College of Business, Universiti Utara Malaysia

Abstract

This paper aims to assess good governance and development nexus based on the Theory of Maqāsid al Sharī’ah (TMS). The central hypothesis of the paper is that good governance; with a specific focus on human rights and social justice has a significant relationship with human development including factors like education, health, and income all emerging from of the essentials of Sharī’ah. The paper employed survey questionnaire to collect data from 384 respondents comprising Muslims in South-western Nigeria. A stratified random sampling technique was used. The findings show that TMS is effective in predicting the direction of relationship between good governance and human development. The findings further show that the model is invariant across gender groups. This paper highlights the applicability of the constructs of TMS model into human development research. It also recommends strategic policy direction for the policymakers.
Keywords: Deprivation, gender invariance, well-being, Maqāsid al Sharī’ah
Published
Apr 30, 2019
How to Cite
OLADAPO, Ibrahim Abiodun et al. ASSESSING GOOD GOVERNANCE PRACTICES AND DEVELOPMENT NEXUS: AN APPLICATION OF STRUCTURAL INVARIANCE ANALYSIS. Management & Accounting Review (MAR), [S.l.], v. 18, n. 1, p. 77-100, apr. 2019. ISSN 2550-1895. Available at: <http://arionline.uitm.edu.my/ojs/index.php/MAR/article/view/802>. Date accessed: 01 dec. 2022. doi: http://dx.doi.org/10.24191/mar.v18i1.802.