When does debt become a burden? Evidence from Asian developing countries

This study investigates the critical debt-to-GDP threshold at which external debt transitions from growth-enhancing to growth-impeding across 32 Asian developing economies over the period 1995–2020. Using dynamic panel estimators that address endogeneity, cross-sectional dependence, and heterogeneity—specifically the two-step system generalized method of moments, dynamic common correlated effects, and dynamic panel threshold models—the analysis reveals a robust inverted U-shaped relationship consistent with the Debt Laffer curve framework. Moderate external debt levels (below the thresholds) are found to support economic growth, whereas excessive debt (beyond the estimated thresholds) exerts a dampening effect. The identified thresholds vary by income group, with estimated turning points of approximately 48% for lower-middle-income countries, 56% for upper-middle-income countries, and 48% for the full sample. These thresholds are interpreted as early-warning reference bands rather than strict cut-off points, providing practical guidance for debt sustainability monitoring. While recent post-pandemic debt developments underscore the policy relevance of the analysis, the empirical findings are strictly derived from the 1995–2020 sample period. Overall, the results offer region-specific insights for managing external debt within Asia’s diverse development context.

Authors

Institutions

Publication Details

Journal
Humanities and Social Sciences Communications
Published
2026-05-29
DOI
https://doi.org/10.1057/s41599-026-07760-5
Primary Topic
Fiscal Policies and Political Economy
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

When does debt become a burden? Evidence from Asian developing countries

M Li, Dan Hou, Mingxi Liu, Muhammad Dawood
Humanities and Social Sciences Communications
Fiscal Policies and Political Economy
article

When does debt become a burden? Evidence from Asian developing countries

M Li, Dan Hou, Mingxi Liu, Muhammad Dawood
article en

Abstract

This study investigates the critical debt-to-GDP threshold at which external debt transitions from growth-enhancing to growth-impeding across 32 Asian developing economies over the period 1995–2020. Using dynamic panel estimators that address endogeneity, cross-sectional dependence, and heterogeneity—specifically the two-step system generalized method of moments, dynamic common correlated effects, and dynamic panel threshold models—the analysis reveals a robust inverted U-shaped relationship consistent with the Debt Laffer curve framework. Moderate external debt levels (below the thresholds) are found to support economic growth, whereas excessive debt (beyond the estimated thresholds) exerts a dampening effect. The identified thresholds vary by income group, with estimated turning points of approximately 48% for lower-middle-income countries, 56% for upper-middle-income countries, and 48% for the full sample. These thresholds are interpreted as early-warning reference bands rather than strict cut-off points, providing practical guidance for debt sustainability monitoring. While recent post-pandemic debt developments underscore the policy relevance of the analysis, the empirical findings are strictly derived from the 1995–2020 sample period. Overall, the results offer region-specific insights for managing external debt within Asia’s diverse development context.

Humanities and Social Sciences Communications
Jiangsu University (CN), Yunnan University (CN), Honghe University (CN), Yunnan University of Finance And Economics (CN)
National Natural Science Foundation of China
Partnerships for the goals
Openalex Percentile: Top 3%
Fiscal Policies and Political Economy
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.