Predicting debt burden status among Malaysia civil servants

Authors

  • Mohamad Fazli Sabri Department of Resource Management and Consumer Studies, Faculty of Human Ecology, University Putra Malaysia, UPM
  • Nuraini Abdullah Department of Resource Management and Consumer Studies, Faculty of Human Ecology, University Putra Malaysia, UPM
  • Husniyah Abdul Rahim Department of Resource Management and Consumer Studies, Faculty of Human Ecology, University Putra Malaysia, UPM
  • Radduan Yusof Faculty of Administrative Science & Policy Studies, Universiti Teknologi MARA, Malaysia
  • Mohd. Amim Othman Department of Resource Management and Consumer Studies, Faculty of Human Ecology, University Putra Malaysia, UPM
  • Ahmad Hariza Hashim Department of Resource Management and Consumer Studies, Faculty of Human Ecology, University Putra Malaysia, UPM

Keywords:

Debt burden, Savings ration, Financial status, Income adequacies

Abstract

The pressure of high inflation rate and increased cost of living has invoked the concerns over the problem of debt among civil servants in Malaysia. This paper aims to investigate the determinants of debt burden status within a civil servants’ sample. Questionnaires were distributed using a multi-stage random sampling method. A total of 600 responses were collected. Results from logistic regression showed several significant predictors of debt burden status, namely savings to income ratio, financial status, and income adequacy. This study outlined the predictors of debt burden status among Malaysian civil servants, providing civil servants with some ideas to counter debt issues which have been prevalent for a long time.

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Published

2019-09-30

How to Cite

Sabri, M. F. ., Abdullah, N. ., Abdul Rahim, H. ., Yusof, R. ., Othman, M. A. ., & Hashim, A. H. . (2019). Predicting debt burden status among Malaysia civil servants. Journal of Emerging Economies and Islamic Research, 7(3), 1–11. Retrieved from https://journal.uitm.edu.my/ojs/index.php/JEEIR/article/view/3965

Issue

Vol. 7 No. 3 (2019): September 2019 Issue

Section

Articles

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Copyright (c) 2019 Mohamad Fazli Sabri, Nuraini Abdullah, Husniyah Abdul Rahim, Radduan Yusof, Mohd. Amim Othman, Ahmad Hariza Hashim

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.