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The Determinants of Capital Structure of the Chemical Industry in Pakistan

Author

Listed:
  • Muhammad Rafiq

    (Institute of Management Sciences, Peshawar, Pakistan.)

  • Asif Iqbal

    (Institute of Management Sciences, Peshawar, Pakistan.)

  • Muhammad Atiq

    (CECOS University, Peshawar, Pakistan.)

Abstract

This study is an attempt to determine the capital structure of listed firms in the chemical industry of Pakistan. The study finds that by studying a specific industry's capital structure, one can ascertain unique attributes, which are usually not apparent in the combined analysis of many sectors as done by Shah and Hijazi (2004). This study analyzed 26 of 39 firms in the chemical sector, listed at the Karachi Stack Exchange for the period 1993-2004 using pooled regression in a panel data analysis. Six regressors i.e. firm size, tangibility of assets, profitability, income variation, non-debt tax shield (NDTS) and growth were employed to examine their effects on leverage. The results show that these six independent variables explain 90% of variation in the dependent variable and, except for firm tangibility, results were found to be highly significant. The study has policy implications of importance for researchers, investors, analysts and managers.

Suggested Citation

  • Muhammad Rafiq & Asif Iqbal & Muhammad Atiq, 2008. "The Determinants of Capital Structure of the Chemical Industry in Pakistan," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 13(1), pages 139-158, Jan-Jun.
    • Handle: RePEc:lje:journl:v:13:y:2008:i:1:p:139-158
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    Citations

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    Cited by:

    1. Imran Umer Chhapra & Muhammad Asim, 2012. "Determinants Of Capital Structuring: An Empirical Study Of Growth And Financing Behavior Of Firms Of Textile Sector In Pakistan," IBT Journal of Business Studies (JBS), Ilma University, Faculty of Management Science, vol. 8(2), pages 8-1.
    2. Attiya Yasmin Javid & Qaisar Imad, 2012. "A Decomposition Analysis of Capital Structure: Evidence from Pakistan’s Manufacturing Sector," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 17(1), pages 1-31, Jan-June.
    3. Imran Umer Chhapra & Muhammad Asim, 2012. "Determinants Of Capital Structuring: An Empirical Study Of Growth And Financing Behavior Of Firms Of Textile Sector In Pakistan," IBT Journal of Business Studies (JBS), Ilma University, Faculty of Management Science, vol. 8(2), pages 1-10.
    4. Sohail AMJED* & S.M. Amir SHAH**, 2017. "The Impact of Leverage Variances on Growth: A Longitudinal Study of Pakistan’s Corporate Sector," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 27(2), pages 249-266.
    5. Ahmed, Sabeel & Hanif, Muhammad, 2012. "Determinants of Capital Structure in Textile Sector of Pakistan," MPRA Paper 17984, University Library of Munich, Germany.
    6. Ahmed Arif & Bilal Aslam, 2014. "Determinants of Capital Structure: An Age Wise Analysis from Non-Financial Sector of Pakistan," International Journal of Empirical Finance, Research Academy of Social Sciences, vol. 3(2), pages 76-89.
    7. Hamid Ahmad & Bashir A. Fida & Muhammad Zakaria, 2013. "The Co-determinants of Capital Structure and Stock Returns: Evidence from the Karachi Stock Exchange," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 18(1), pages 81-92, Jan-June.
    8. Musa Bashir, Mohammed, 2019. "Impact Of Firm Attributes In The Determination Of Capital Structure Of Listed Food And Bevearges Firms In Nigeria," International Journal of Contemporary Accounting Issues-IJCAI (formerly International Journal of Accounting & Finance IJAF), The Institute of Chartered Accountants of Nigeria (ICAN), vol. 8(2), pages 64-74, September.
    9. Shah, Mumtaz Hussain & Khan, Atta Ullah, 2017. "Factors determining capital structure of Pakistani non-financial firms," MPRA Paper 82015, University Library of Munich, Germany.

    More about this item

    Keywords

    Chemical; Panel Data; Karachi Stock Exchange; Pakistan;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • L65 - Industrial Organization - - Industry Studies: Manufacturing - - - Chemicals; Rubber; Drugs; Biotechnology; Plastics

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