IDEAS home Printed from https://ideas.repec.org/a/eme/jamrpp/v12y2015i1p3-14.html
   My bibliography  Save this article

Determinants of capital structure: an empirical evaluation from India

Author

Listed:
  • Saurabh Chadha
  • Anil K. Sharma

Abstract

Purpose - – The purpose of this paper is to study the key determinants of capital structure for Indian manufacturing firms and which theory implications, i.e. trade off vs pecking order are more applicable in current Indian manufacturing sector scenario. Design/methodology/approach - – A sample size of 422 listed Indian manufacturing companies on Bombay Stock Exchange has been considered to do the empirical evaluation. A ten year period from 2003-2004 to 2012-2013 and annual financial standalone data have been considered for study. Ratio analysis and panel data approach have been applied to perform the empirical evaluation. Total debt to total capital and total debt to total assets are used as the proxy for firm financial leverage. Findings - – It was empirically found that size, age, asset tangibility, growth, profitability, non-debt tax shield, business risk, uniqueness and ownership structure are significantly correlated with the firm financial leverage or key determinants of capital structure in Indian manufacturing sector. Also, other variables like dividend payout, liquidity, interest coverage ratio, cash flow coverage ratio (CFCR), India inflation and GDP growth rate are empirically found to be insignificant to determine the capital structure of Indian manufacturing sector. There is no single theory implications, i.e. trade off vs pecking order which can explain the capital structure nature of Indian manufacturing sector and rather it is a mix of both the theories. Originality/value - – The findings of the study would enhance the literature on capital structure and is significant for the Indian manufacturing firm’s decisions as it includes the most recent data and covers the period of both pre- and post-recession of 2008-2009.

Suggested Citation

  • Saurabh Chadha & Anil K. Sharma, 2015. "Determinants of capital structure: an empirical evaluation from India," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 12(1), pages 3-14, May.
  • Handle: RePEc:eme:jamrpp:v:12:y:2015:i:1:p:3-14
    DOI: 10.1108/JAMR-08-2014-0051
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/JAMR-08-2014-0051/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/JAMR-08-2014-0051/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1108/JAMR-08-2014-0051?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hana Halini Hamzah & Maran Marimuthu, 2019. "An Overview: Oil and Gas Capital Structure," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 9(4), pages 330-334, October.
    2. Georgeta Vintilă & Ştefan Cristian Gherghina & Diana Alexandra Toader, 2019. "Exploring the Determinants of Financial Structure in the Technology Industry: Panel Data Evidence from the New York Stock Exchange Listed Companies," JRFM, MDPI, vol. 12(4), pages 1-16, October.
    3. Feng-Li Lin, 2020. "Do DJIA Firms Reflect Stationary Debt Ratios?," Economies, MDPI, vol. 8(4), pages 1-19, September.
    4. Jana Heckenbergerova & Irena Honkova, 2023. "Capital Structure Analysis – Theories and Determinants Validation Based on Evidence from the Czech Republic," E&M Economics and Management, Technical University of Liberec, Faculty of Economics, vol. 26(1), pages 145-164, March.
    5. Oli Ahad Thakur & Bany‐Ariffin Amin Noordin & Bolaji Tunde Matemilola & Md. Kausar Alam & Doddy Setiawan, 2022. "Impact of goodwill on capital structure and the moderating role of investors' education," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(7), pages 2657-2677, October.
    6. Anshu Agrawal, 2021. "Impact of Elimination of Dividend Distribution Tax on Indian Corporate Firms Amid COVID Disruptions," JRFM, MDPI, vol. 14(9), pages 1-38, September.

    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:eme:jamrpp:v:12:y:2015:i:1:p:3-14. 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: Emerald Support (email available below). General contact details of provider: .

    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.