IDEAS home Printed from https://ideas.repec.org/a/gam/jjrfmx/v18y2025i9p481-d1735833.html
   My bibliography  Save this article

Establishing the Relationship Between the Capital Structure, Intellectual Capital, and Financial Performance of SSA Insurance Companies

Author

Listed:
  • Thabiso Sthembiso Msomi

    (School of Accounting Economics and Finance, University of KwaZulu-Natal, Durban 4041, South Africa)

  • Odunayo Magret Olarewaju

    (Department of Accounting, Metro State University, St. Paul, MN 55106, USA)

  • Mabutho Sibanda

    (School of Accounting Economics and Finance, University of KwaZulu-Natal, Durban 4041, South Africa)

Abstract

This research examines the relationship between capital structure, intellectual capital, and financial performance among insurance companies in Sub-Saharan Africa (SSA). Anchored in a positivist paradigm, the study employed descriptive and quantitative methodologies, leveraging secondary panel data spanning from 2010 to 2022 across 122 insurance firms sampled from a population of 178 companies across 46 SSA countries. Utilizing a Panel Vector Error Correction Model (P-VECM), the analysis explored long-term equilibrium relationships and dynamic interactions among variables, including return on assets (ROAs), debt-to-equity ratio (DER), long-term debt (LTD), short-term debt (STD), Value-Added Intellectual Coefficient (VAIC™), and firm size (SIZE). Optimal lag lengths were determined through robust statistical criteria, ensuring model precision. The impulse response analysis revealed significant findings: variations in ROA negatively impacted intellectual capital (VAIC), leverage indicators (DER, LTD, and STD), and positively influenced firm size over a ten-period horizon. Specifically, decreases in ROA were consistently associated with reduced intellectual capital effectiveness and adverse financial liquidity conditions, while increased firm size correlated positively with improved financial performance.

Suggested Citation

  • Thabiso Sthembiso Msomi & Odunayo Magret Olarewaju & Mabutho Sibanda, 2025. "Establishing the Relationship Between the Capital Structure, Intellectual Capital, and Financial Performance of SSA Insurance Companies," JRFM, MDPI, vol. 18(9), pages 1-24, August.
  • Handle: RePEc:gam:jjrfmx:v:18:y:2025:i:9:p:481-:d:1735833
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1911-8074/18/9/481/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1911-8074/18/9/481/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Troise, Ciro & Matricano, Diego & Sorrentino, Mario & Candelo, Elena, 2022. "Investigating investment decisions in equity crowdfunding: The role of projects' intellectual capital," European Management Journal, Elsevier, vol. 40(3), pages 406-418.
    3. Richard Arhinful & Mehrshad Radmehr, 2023. "The effect of financial leverage on financial performance: evidence from non-financial institutions listed on the Tokyo stock market," Journal of Capital Markets Studies, Emerald Group Publishing Limited, vol. 7(1), pages 53-71, June.
    4. Atul Bansal, 2025. "Analyzing the influence of financial leverage on social performance of selected non-financial companies in Bahrain," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 16(1), pages 392-401, January.
    5. Guangchun Jin & Jian Xu, 2022. "Does Intellectual Capital Affect Financial Leverage of Chinese Agricultural Companies? Exploring the Role of Firm Profitability," Sustainability, MDPI, vol. 14(5), pages 1-14, February.
    6. Ronald Ebenezer Essel, 2024. "The Effect of Capital Structure on Corporate Performance: Panel Empirical Evidence of an Emerging Capital Market," Journal of African Business, Taylor & Francis Journals, vol. 25(2), pages 224-263, April.
    7. Halkawt Ismail Mohammed Amin & Kemal Cek, 2023. "The Effect of Golden Ratio-Based Capital Structure on Firm’s Financial Performance," Sustainability, MDPI, vol. 15(9), pages 1-25, April.
    8. Honjo, Yuji, 2021. "The impact of founders’ human capital on initial capital structure: Evidence from Japan," Technovation, Elsevier, vol. 100(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Richard Arhinful & Mehrshad Radmehr, 2023. "The Impact of Financial Leverage on the Financial Performance of the Firms Listed on the Tokyo Stock Exchange," SAGE Open, , vol. 13(4), pages 21582440231, November.
    2. Richard Arhinful & Leviticus Mensah & Jerry Seth Owusu-Sarfo, 2024. "The impact of corporate governance on debt service obligations: evidence from automobile companies listed on the Tokyo stock exchange," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 21(4), pages 501-519, December.
    3. Hillebrand, Eric & Schnabl, Gunther & Ulu, Yasemin, 2009. "Japanese foreign exchange intervention and the yen-to-dollar exchange rate: A simultaneous equations approach using realized volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(3), pages 490-505, July.
    4. Frederico Belo & Chen Xue & Lu Zhang, 2010. "Cross-sectional Tobin's Q," NBER Working Papers 16336, National Bureau of Economic Research, Inc.
    5. Bansal, Ravi & Kiku, Dana & Yaron, Amir, 2016. "Risks for the long run: Estimation with time aggregation," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 52-69.
    6. Alfonso Mendoza-Velázquez & Luis Carlos Ortuño-Barba & Luis David Conde-Cortés, 2022. "Corporate governance and firm performance in hybrid model countries," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 21(1), pages 32-58, February.
    7. Chang, Jinyuan & Chen, Song Xi & Chen, Xiaohong, 2015. "High dimensional generalized empirical likelihood for moment restrictions with dependent data," Journal of Econometrics, Elsevier, vol. 185(1), pages 283-304.
    8. Kutuk, Yasin, 2022. "Inequality convergence: A world-systems theory approach," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 150-165.
    9. Smoluk, H. J. & Neveu, Raymond P., 2002. "Consumption and asset prices: An analysis across income groups," Review of Financial Economics, Elsevier, vol. 11(1), pages 47-62.
    10. Bruce N. Lehmann, 2005. "The Role of Beliefs in Inference for Rational Expectations Models," NBER Working Papers 11758, National Bureau of Economic Research, Inc.
    11. Aslan, Alper & Kaplan, Muhittin & Kula, Ferit, 2008. "International Tourism Demand for Turkey: A Dynamic Panel Data Approach," MPRA Paper 10601, University Library of Munich, Germany.
    12. de Mendonça, Helder Ferreira & Tiberto, Bruno Pires, 2014. "Public debt and social security: Level of formality matters," Economic Modelling, Elsevier, vol. 42(C), pages 490-507.
    13. Alessandra Canepa & Fawaz Khaled, 2018. "Housing, Housing Finance and Credit Risk," IJFS, MDPI, vol. 6(2), pages 1-23, May.
    14. Isaiah Andrews & Anna Mikusheva, 2016. "Conditional Inference With a Functional Nuisance Parameter," Econometrica, Econometric Society, vol. 84, pages 1571-1612, July.
    15. Carrión-Flores, Carmen E. & Innes, Robert, 2010. "Environmental innovation and environmental performance," Journal of Environmental Economics and Management, Elsevier, vol. 59(1), pages 27-42, January.
    16. repec:ebl:ecbull:v:3:y:2007:i:44:p:1-6 is not listed on IDEAS
    17. Jessica M. Mc Lay & Roy Lay-Yee & Barry J. Milne & Peter Davis, 2015. "Regression-Style Models for Parameter Estimation in Dynamic Microsimulation: An Empirical Performance Assessment," International Journal of Microsimulation, International Microsimulation Association, vol. 8(2), pages 83-127.
    18. Paulo M. D. C. Parente & Richard J. Smith, 2021. "Quasi‐maximum likelihood and the kernel block bootstrap for nonlinear dynamic models," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(4), pages 377-405, July.
    19. Jarle Aarstad & Olav Andreas Kvitastein & Stig-Erik Jakobsen, 2019. "What Drives Enterprise Product Innovation? Assessing How Regional, National, And International Inter-Firm Collaboration Complement Or Substitute For R&D Investments," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 23(05), pages 1-25, June.
    20. Lee, Boram & Rosenthal, Leonard & Veld, Chris & Veld-Merkoulova, Yulia, 2015. "Stock market expectations and risk aversion of individual investors," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 122-131.
    21. Yuichi Kitamura & Jörg Stoye, 2013. "Nonparametric analysis of random utility models: testing," CeMMAP working papers 36/13, Institute for Fiscal Studies.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:gam:jjrfmx:v:18:y:2025:i:9:p:481-:d:1735833. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.