Capital structure determinants of private and public firms in an emerging economy: a panel data quantile regression analysis

Purpose This study explores distinct capital structure patterns between private and public companies, examining the varying influence of determinants on debt choices contingent upon a firm’s existing debt position. Design/methodology/approach Employing annual data from 2012 to 2022 for 142 public firms and 660 private firms in a large emerging economy, we use quantile regression within a panel data framework to study the heterogeneous effects of debt determinants, incorporating firm and time random effects. Findings Our findings indicate that such factors as size and operating margin contribute to higher levels of debt, while investment opportunities reduce the debt level. Further analyses, when accounting for a firm’s likelihood of being publicly traded, reveal that dividend payout and operating margin significantly influence debt levels, exclusively in the presence of high debt proportions. Conversely, investment opportunities emerge as a substantial determinant in all debt scenarios. In addition, we found a strong persistence in the indebtedness of companies, and we conclude that the effect of the determinants of indebtedness is heterogeneous according to the level of debt of companies. Originality/value This research provides a comprehensive comparison between private and public firms, not only in terms of debt levels but also in key capital structure determinants, highlighting their significance within the context of varying debt levels.

Authors

Institutions

Publication Details

Journal
Journal of economic and administrative sciences.
Published
2024-10-07
DOI
https://doi.org/10.1108/jeas-10-2023-0276
Citations
2
Primary Topic
Corporate Finance and Governance
Type
article
Field-Weighted Citation Impact
1.89
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Capital structure determinants of private and public firms in an emerging economy: a panel data quantile regression analysis

Adriana Bruscato Bortoluzzo, Antônio Zoratto Sanvicente, Maurício Mesquita Bortoluzzo
2 citations
Journal of economic and administrative sciences.
Corporate Finance and Governance
1.89
article

Capital structure determinants of private and public firms in an emerging economy: a panel data quantile regression analysis

Adriana Bruscato Bortoluzzo, Antônio Zoratto Sanvicente, Maurício Mesquita Bortoluzzo
article en
2 citations

Abstract

Purpose This study explores distinct capital structure patterns between private and public companies, examining the varying influence of determinants on debt choices contingent upon a firm’s existing debt position. Design/methodology/approach Employing annual data from 2012 to 2022 for 142 public firms and 660 private firms in a large emerging economy, we use quantile regression within a panel data framework to study the heterogeneous effects of debt determinants, incorporating firm and time random effects. Findings Our findings indicate that such factors as size and operating margin contribute to higher levels of debt, while investment opportunities reduce the debt level. Further analyses, when accounting for a firm’s likelihood of being publicly traded, reveal that dividend payout and operating margin significantly influence debt levels, exclusively in the presence of high debt proportions. Conversely, investment opportunities emerge as a substantial determinant in all debt scenarios. In addition, we found a strong persistence in the indebtedness of companies, and we conclude that the effect of the determinants of indebtedness is heterogeneous according to the level of debt of companies. Originality/value This research provides a comprehensive comparison between private and public firms, not only in terms of debt levels but also in key capital structure determinants, highlighting their significance within the context of varying debt levels.

Journal of economic and administrative sciences.
Universidade de São Paulo (BR), Insper (BR)
Partnerships for the goals
Openalex Percentile: Top 12%
Corporate Finance and Governance
1.89
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.