A longitudinal study of corporate social responsibility expenditure and ownership structure of financial firms

  • Received October 24, 2021;
    Accepted January 14, 2022;
    Published January 28, 2022
  • Author(s)
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  • Article Info
    Volume 17 2022, Issue #1, pp. 24-37
  • Cited by
    13 articles
  • Funding data
    Funder name: The research is supported by Noakhali Science and Technology University, Bangladesh and Universitas Muhammadiyah Yogyakarta, Indonesia.
    Funder identifier: -
    Award numbers: -

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This work is licensed under a Creative Commons Attribution 4.0 International License

There is a dearth of longitudinal studies of corporate social responsibility expenditure (CSRE) and corporate governance in Bangladesh, which has been the impetus for this study. The study aims to identify the relationship between ownership structure and CSR expenditure. The empirical study considered a longitudinal period of 2007–2019 of listed financial firms (banks and non-banking financial institutions) of Bangladesh. The final sample consisted of 461 firm-year observations for 53 firms. The study incorporated a set of theories, including agency cost theory and stakeholder theory. The study applied the ordinary least square (OLS) regression technique to test hypotheses. The results of multiple regression analysis showed that foreign ownership and managerial ownership contribute positively and significantly to CSRE. However, the study did not document any relationship between institutional ownership and CSRE. The study used rigorous and alternative measurement techniques to further verify the findings. It was concluded that value creation from CSRE is highly dependent on the ownership structure of financial firms. The empirical study has significant theoretical and managerial implications.

Comments and suggestions from the discussants and paper presenters and audiences of International Conference on Sustainable Innovation (ICoSI 2020) at Universitas Muhammadiyah Yogyakarta, Indonesia, have been gratefully acknowledged, which helps us to improve the quality of this paper.

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    • Table 1. Sample selection
    • Table 2. Variable definitions and measurements
    • Table 3. Descriptive statistics
    • Table 4. Correlations matrix
    • Table 5. Regression results
    • Table 6. Sensitivity analysis
    • Data curation
      Md. Abu Jahid, Md. Harun Ur Rashid
    • Formal Analysis
      Md. Abu Jahid, Md. Harun Ur Rashid, Md. Abdul Kaium Masud
    • Funding acquisition
      Md. Abu Jahid, Md. Abdul Kaium Masud, Rizal Yaya
    • Methodology
      Md. Abu Jahid, Md. Harun Ur Rashid, Md. Abdul Kaium Masud
    • Project administration
      Md. Harun Ur Rashid, Md. Abdul Kaium Masud, Rizal Yaya
    • Software
      Md. Harun Ur Rashid
    • Writing – original draft
      Md. Harun Ur Rashid, Md. Abdul Kaium Masud
    • Conceptualization
      Md. Abdul Kaium Masud
    • Investigation
      Md. Abdul Kaium Masud
    • Writing – review & editing
      Md. Abdul Kaium Masud
    • Resources
      Rizal Yaya
    • Supervision
      Rizal Yaya