IDEAS home Printed from https://ideas.repec.org/a/dbk/datame/v4y2025ip1031id1056294dm20251031.html
   My bibliography  Save this article

Capital structure and debt tax shield: literature review and bibliometric analysis

Author

Listed:
  • Jesús Alexander Pinillos Villamizar
  • Hugo Macias
  • Luis Castrillon

Abstract

Introduction: this study presents a bibliometric analysis and literature review focused on identifying publications, key themes, and recent trends in frontier research related to capital structure and the debt tax shield. The aim is to explore how the academic field has evolved over time and highlight the most influential works and recurring topics. Methods: the study analyzed 33 documents indexed in Scopus, published between 1978 and 2023. A bibliometric approach was used to determine publication patterns, countries of origin, journal prominence, and citation metrics. Results: the bibliometric analysis revealed that the United States accounts for the highest number of studies. Journals such as Applied Financial Economics and Investment Management and Financial Innovations lead in publication volume but not in citation count. The main themes explored by the authors include corporate debt policies, optimal capital structure, valuation of tax shields, trade-off and pecking order theories, corporate social responsibility, and profitability. Key research trends focus on evaluating factors such as debt levels, tax rates, credit risk, and future fiscal policies and their impact on the value of the tax shield. Additionally, recent works analyze the effects of events such as the COVID-19 crisis on leverage strategies and capital structure, as well as the integration of modern models—such as compensation and information asymmetry-based pecking order—with traditional theories. Conclusions: The literature demonstrates a growing interest in understanding the interplay between tax factors and corporate financing decisions, especially in light of evolving economic contexts and theoretical frameworks. The field continues to expand through the incorporation of new models and empirical evidence, signaling opportunities for future research in this area.

Suggested Citation

Handle: RePEc:dbk:datame:v:4:y:2025:i::p:1031:id:1056294dm20251031
DOI: 10.56294/dm20251031
as

Download full text from publisher

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a
for a similarly titled item that would be available.

More about this item

Statistics

Access and download statistics

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:dbk:datame:v:4:y:2025:i::p:1031:id:1056294dm20251031. See general information about how to correct material in RePEc.

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no bibliographic references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Javier Gonzalez-Argote (email available below). General contact details of provider: https://dm.ageditor.ar/ .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.