Prevent bribery from happening in the first place by taking steps to recognise the risks and implement effective policies and procedures. This collection of resources offers guidance on how to implement effective controls to prevent bribery and corruption in your business and supply chain. Access practical tools to identify red flags, conduct risk assessments and due diligence and build a culture of integrity.
A concise fact sheet that is linked to a detailed tool for assessing mining approvals corruption risks. It provides a succinct business case for why mining companies should undertake an assessment of their risk factors that create vulnerabilities to corruption. Useful for both small and large mining companies for understanding how to use the risk assessment tool.
A tool that can be used by the mining sector to identify and assess the underlying causes of corruption in mining sector approval processes. This third edition includes guidance on how to conduct a gender-sensitive corruption risk assessment. Specifically, the updated MACRA Tool helps identify the gendered impacts of corruption on women as well as the barriers that hinder women’s participation in decision-making and accountability efforts, particularly at a community level.
A sector specific resource that provides a clear framework for understanding how corruption can get a foothold in mining approvals processes. It provides mining companies with a roadmap to understanding the vulnerabilities to corruption that exist in the mining approval regimes of jurisdictions across the world. It links to a detailed report with examples from 18 resource rich countries.
This resource will support businesses to understand and implement risk-based due diligence as recommended by the OECD Guidelines for Multinational Enterprises – a key international standard on responsible business conduct. The guidance describes the due diligence process using six key steps and suggests practical actions business can take. Helpful tips and detailed explanations are also provided, supported by examples.