Determinants and convergence of biodiversity or extinction disclosures of mining firms in Africa.

This study probes into the biodiversity disclosure practices of mining firms in Africa, the determinants and the evidence of convergence using information economics analysis. Data was sourced from 21 mining firms covering the period 2006 to 2019 operating in Morocco and South Africa with various mine sites owned in other countries like Ghana. Using a combination of panel-corrected standard errors regression, logistic regression and the test of beta and sigma-convergence, the study found that there is a moderate level of biodiversity disclosure across African mining firms and there is both beta and sigma-convergence. The study found that board size enhances disclosures on all biodiversity indicators, viz, biodiversity disclosure index, 304-1 (proximity of sites to biodiversity hotspots) being the most disclosed, followed by 304-3 (habitats protected or restored), 304-4 (IUCN Red List Species) and 304-2 (impact of activities on biodiversity). Generally, board size drives biodiversity disclosures but board independence does not. Additionally, the membership of the United Nations Global Compact, a multistakeholder initiative significantly affects every disclosure indicator. Financial leverage drives the disclosure of 3 indicators. Other factors like firm size, multinational enterprise status, profitability, cross-listing, human capital development, and gross domestic product were explored. The results of the analyses are relevant for practitioners, policymakers, regulators and academics alike.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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