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.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jenvman.2024.122471 | DOI Listing |
J Environ Manage
November 2024
Department of Accounting, University of Ghana Business School, Legon, Ghana.
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.
View Article and Find Full Text PDFPLoS One
June 2024
School of Economics and Management, China University of Mining and Technology, Xuzhou, China.
The rapid evolution of the digital economy has significantly accelerated progress towards achieving green and sustainable processes, particularly in the field of green production. While existing research has delved into the effects of the digital economy on Green Innovation (GI) and the consequences of digital transformation on Corporate Value (CV), there remains a notable gap in the literature regarding the potential for synergistic enhancements in firms' GI&CV through the ongoing digital revolution. This study utilizes an evolutionary game model and employs system dynamics methods to simulate the dynamic evolution trajectory of the influence of the digital economy on the synergy between GI&CV.
View Article and Find Full Text PDFData Brief
June 2024
School of Economics and Management, Tsinghua University, Beijing 100084, China.
This article presents a comprehensive dataset from the annual reports of China's public-listed companies, the China Stock Market and Accounting Research Database, and the Wind database, focusing on digital transformation and strategic risk taking. This dataset covers 14 years from 2008 to 2021 with 17,089 firm-year observations. Digital transformation is calculated using text mining techniques and keyword frequency analyses based on the firms' annual reports.
View Article and Find Full Text PDFJ Environ Manage
June 2024
Department of Strategy, Sustainability and Entrepreneurship, KEDGE Business School, 40 Avenue des Terroirs de France, 75012 Paris, France. Electronic address:
Informal artisanal and small-scale mining (ASM) continues to grow globally, raising both challenges and opportunities in terms of economic, social, and environmental impacts. The ASM literature explores the formalization and transfer of corporate social responsibility (CSR) practices from larger firms as the pathway to minimize negative impacts and maximize benefits. But we know very little about environmental and social responsibilities of informal mining operations (and informal economy actors in general, who are often portrayed as devoid of these responsibilities).
View Article and Find Full Text PDFPLoS One
March 2024
College of Air Traffic Management, Civil Aviation Flight University of China, Guanghan, Sichuan, China.
The agglomeration effect significantly influences firms' site selection. Manufacturing firms often exhibit intricate spatial co-location patterns that are indicative of agglomerations due to their reliance on material input and product output across various subdivisions of manufacture. In this study, we present an analytical approach employing the Q statistic and additive color mixing visualization to assess co-location patterns of manufacturing firms.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!