The determinants influencing the extent and quality of corporate social responsibility disclosure

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Corporate social responsibility (CSR) disclosure plays a pivotal role in expanding investment opportunities, enhancing operational efficiency, and strengthening transparency and accountability to meet stakeholder demands. This study investigates the determinants influencing CSR disclosure’s extent and quality, aiming to provide a comprehensive understanding of how organizational, institutional, and stakeholder-driven factors shape transparent reporting practices. Using time-series data spanning six years (2017–2022) collected from 200 Vietnamese-listed enterprises annually, this research employs the ordinary least squares (OLS) method for quantitative analysis. The findings reveal that board independence, awards, company size, and financial performance significantly and positively influence both the extent and quality of CSR disclosure. Conversely, industry sensitivity negatively impacts CSR disclosure, while financial leverage exhibits mixed effects – positively affecting the extent but negatively influencing the quality of disclosures. Notably, company size emerges as the strongest determinant of CSR disclosure, underscoring the critical role of larger firms in driving transparent reporting practices. In contrast, industry sensitivity demonstrates the weakest effect on the extent of CSR reporting, suggesting that internal firm characteristics may outweigh industry-specific pressures. Based on these findings, the study recommends that Vietnamese regulatory bodies prioritize company size over industry type when designing CSR disclosure policies. This study provides valuable insights into the evolving dynamics of CSR disclosure in emerging markets like Vietnam, highlighting the need for context-specific strategies to enhance corporate accountability and sustainable development.

Acknowledgment
The author thanks everyone who helped make this study possible.

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    • Table 1. Operation research variables
    • Table 2. Descriptive statistics
    • Table 3. Correlation matrix (ECSRD)
    • Table 4. Correlation matrix (QCSRD)
    • Table 5. Regression
    • Table 6. Variance inflation factor of the variables
    • Table 7. Results of hypotheses
    • Conceptualization
      Hien Nguyen Thi Thu, Tuan Dang Anh
    • Funding acquisition
      Hien Nguyen Thi Thu, Thao Bui Thi Thu, Tan Mai Van, Tuan Dang Anh
    • Investigation
      Hien Nguyen Thi Thu, Tuan Dang Anh
    • Resources
      Hien Nguyen Thi Thu, Thao Bui Thi Thu, Tan Mai Van, Tuan Dang Anh
    • Visualization
      Hien Nguyen Thi Thu, Thao Bui Thi Thu, Tan Mai Van, Tuan Dang Anh
    • Writing – review & editing
      Hien Nguyen Thi Thu, Tan Mai Van, Tuan Dang Anh
    • Formal Analysis
      Thao Bui Thi Thu, Tan Mai Van, Tuan Dang Anh
    • Methodology
      Thao Bui Thi Thu, Tan Mai Van, Tuan Dang Anh
    • Project administration
      Thao Bui Thi Thu, Tan Mai Van, Tuan Dang Anh
    • Software
      Thao Bui Thi Thu, Tan Mai Van, Tuan Dang Anh
    • Supervision
      Thao Bui Thi Thu, Tan Mai Van, Tuan Dang Anh
    • Validation
      Thao Bui Thi Thu, Tan Mai Van, Tuan Dang Anh
    • Writing – original draft
      Thao Bui Thi Thu, Tan Mai Van, Tuan Dang Anh
    • Data curation
      Tuan Dang Anh