THE LOAN DEPENDENCY AMONG PUBLIC SCHOOL TEACHERS IN SAN ISIDRO, DAVAO ORIENTAL: BASIS FOR AN ACTION PLAN

This study investigated the extent and differences in loan dependency among public-school teachers in San Isidro, Davao Oriental. It examined how demographic profiles relate to teachers’ borrowing behavior across four dimensions: accessibility and affordability, financial needs and responsibilities, specific purchases and investments, and personal goals and aspirations. Using a quantitative descriptive–comparative design, the study involved 199 randomly selected teachers from elementary and secondary levels. Data were gathered through a validated questionnaire and analyzed using mean, standard deviation, t-test, and Kruskal–Wallis test. Results revealed a high overall loan dependency with a mean of 3.92. The highest mean was observed in accessibility and affordability followed by financial needs and responsibilities, showing that teachers often rely on easily accessible, low-interest loans to meet family and daily expenses. Significant differences were noted in number of children, spouse’s occupation, and department level, but not in sex or civil status. The study concludes that teachers’ loan dependency is driven by financial pressures and behavioral factors, reflecting the influence of attitudes, social norms, and perceived control as posited by TPB. It recommends strengthening financial literacy and debt management programs, promoting savings schemes, and formulating policies that encourage responsible borrowing and financial resilience among teachers.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-27
DOI
https://doi.org/10.5281/zenodo.17731319
Primary Topic
Financial Literacy, Pension, Retirement Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

THE LOAN DEPENDENCY AMONG PUBLIC SCHOOL TEACHERS IN SAN ISIDRO, DAVAO ORIENTAL: BASIS FOR AN ACTION PLAN

Zenodo (CERN European Organization for Nuclear Research)
Financial Literacy, Pension, Retirement Analysis
article

THE LOAN DEPENDENCY AMONG PUBLIC SCHOOL TEACHERS IN SAN ISIDRO, DAVAO ORIENTAL: BASIS FOR AN ACTION PLAN

article en

Abstract

This study investigated the extent and differences in loan dependency among public-school teachers in San Isidro, Davao Oriental. It examined how demographic profiles relate to teachers’ borrowing behavior across four dimensions: accessibility and affordability, financial needs and responsibilities, specific purchases and investments, and personal goals and aspirations. Using a quantitative descriptive–comparative design, the study involved 199 randomly selected teachers from elementary and secondary levels. Data were gathered through a validated questionnaire and analyzed using mean, standard deviation, t-test, and Kruskal–Wallis test. Results revealed a high overall loan dependency with a mean of 3.92. The highest mean was observed in accessibility and affordability followed by financial needs and responsibilities, showing that teachers often rely on easily accessible, low-interest loans to meet family and daily expenses. Significant differences were noted in number of children, spouse’s occupation, and department level, but not in sex or civil status. The study concludes that teachers’ loan dependency is driven by financial pressures and behavioral factors, reflecting the influence of attitudes, social norms, and perceived control as posited by TPB. It recommends strengthening financial literacy and debt management programs, promoting savings schemes, and formulating policies that encourage responsible borrowing and financial resilience among teachers.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 31%
Financial Literacy, Pension, Retirement Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.