Managerial Dynamics as a Deciding factor for Corporate Social Disclosures among Quoted Manufacturing Companies in Nigeria
DOI:
https://doi.org/10.33003/fujafr-2023.v1i3.64.64-74Keywords:
Managerial Dynamics, Managerial Efficiency, Social Disclosure, Global Reporting Initiative (GRI)Abstract
The continuous growth and expansion in the global economy with its attendant consequences on the environment and society have necessitated the increasing push by stakeholders for companies’ world over to disclose their social impacts on society. Consequently, the persistent increase in the demand for increase in social information has resulted to loss of credibility by stakeholders in the annual report of companies. The Nigerian business climate is no exception to this dilemma which serves as motivation for this research. Hence, this study investigates the extent to which managerial efficiency influences corporate social disclosures among listed Manufacturing companies in Nigeria. Using Krejcie and Morgan sample selection criteria, the sample size for the ex-post factor research design with a population of seventy-six (76) listed industrial businesses was sixty-three (63). However, because of irregular company listings and inadequate data availability, only forty-nine (49) of the companies were chosen to be included in the sample size spanning seven (7) sectors. Data were analyzed using Panel Corrected Standard Error Estimation. The results showed a significant level of 0.000 and a positive correlation of 0.019 between management effectiveness and corporate social disclosure of Nigerian listed industrial companies. Consequently, the study unquestionably showed that while managerial performance is beneficial, corporate social disclosure is significantly impacted by it. Therefore, the study suggested that the Nigeria Exchange Group (NGX) should implement additional regulations and controls to guarantee that all listed manufacturing companies continue to disclose information on product responsibility, human rights, and the social impact of manufacturing operations.
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