Predicting debt burden status among Malaysia civil servants / Mohamad Fazli Sabri ... [et al.]
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-...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universiti Teknologi Mara Selangor
2019
|
| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/32297/ |
| _version_ | 1848807987358990336 |
|---|---|
| author | Sabri, Mohamad Fazli Abdullah, Nuraini Abdul Rahim, Husniyah Yusof, Radduan Othman, Mohd. Amim Hashim, Ahmad Hariza |
| author_facet | Sabri, Mohamad Fazli Abdullah, Nuraini Abdul Rahim, Husniyah Yusof, Radduan Othman, Mohd. Amim Hashim, Ahmad Hariza |
| author_sort | Sabri, Mohamad Fazli |
| building | UiTM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T22:51:33Z |
| format | Article |
| id | uitm-32297 |
| institution | Universiti Teknologi MARA |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T22:51:33Z |
| publishDate | 2019 |
| publisher | Universiti Teknologi Mara Selangor |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uitm-322972020-07-22T01:38:07Z https://ir.uitm.edu.my/id/eprint/32297/ Predicting debt burden status among Malaysia civil servants / Mohamad Fazli Sabri ... [et al.] jeeir Sabri, Mohamad Fazli Abdullah, Nuraini Abdul Rahim, Husniyah Yusof, Radduan Othman, Mohd. Amim Hashim, Ahmad Hariza Credit. Debt. Loans Commercial credit. Commercial loans. Credit management 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. Universiti Teknologi Mara Selangor 2019-09 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/32297/1/AJ_MOHAMAD%20FAZLI%20SABRI%20JEEIR%20B%2019.pdf Sabri, Mohamad Fazli and Abdullah, Nuraini and Abdul Rahim, Husniyah and Yusof, Radduan and Othman, Mohd. Amim and Hashim, Ahmad Hariza (2019) Predicting debt burden status among Malaysia civil servants / Mohamad Fazli Sabri ... [et al.]. (2019) Journal of Emerging Economies and Islamic Research (JEEIR) <https://ir.uitm.edu.my/view/publication/Journal_of_Emerging_Economies_and_Islamic_Research_=28JEEIR=29.html>, 7 (3). pp. 1-11. ISSN 2289-2559 https://journal.uitm.edu.my/ojs/index.php/JEEIR/ |
| spellingShingle | Credit. Debt. Loans Commercial credit. Commercial loans. Credit management Sabri, Mohamad Fazli Abdullah, Nuraini Abdul Rahim, Husniyah Yusof, Radduan Othman, Mohd. Amim Hashim, Ahmad Hariza Predicting debt burden status among Malaysia civil servants / Mohamad Fazli Sabri ... [et al.] |
| title | Predicting debt burden status among Malaysia civil servants / Mohamad Fazli Sabri ... [et al.] |
| title_full | Predicting debt burden status among Malaysia civil servants / Mohamad Fazli Sabri ... [et al.] |
| title_fullStr | Predicting debt burden status among Malaysia civil servants / Mohamad Fazli Sabri ... [et al.] |
| title_full_unstemmed | Predicting debt burden status among Malaysia civil servants / Mohamad Fazli Sabri ... [et al.] |
| title_short | Predicting debt burden status among Malaysia civil servants / Mohamad Fazli Sabri ... [et al.] |
| title_sort | predicting debt burden status among malaysia civil servants / mohamad fazli sabri ... [et al.] |
| topic | Credit. Debt. Loans Commercial credit. Commercial loans. Credit management |
| url | https://ir.uitm.edu.my/id/eprint/32297/ https://ir.uitm.edu.my/id/eprint/32297/ |