Raw ESG Data of 50,000+ Companies Worldwide | Carbon Emissions Data | Scope 1, 2 & 3 | 10+ Years Historical ESG Data | Oxari

The Carbon Emissions Dataset offers comprehensive access to Scope 1, 2, and 3 emissions data of companies operating within developed, emerging and frontier markets. Despite the challenge of incomplete reporting from some companies, we ensure full coverage across all three scopes by leveraging AI to model emissions profiles tailored to each company. Our methodology incorporates various factors, including industry specifics, balance sheet and financial statement data, and peer emission data, enabling precise estimation of emissions across scopes. Unlike traditional approaches that rely on direct reporting or pre-existing databases, Oxari's tool leverages AI and machine learning techniques to model emissions with unprecedented accuracy. Following this approach we provide access to reported and predicted emission data for over 50,000 companies. Oxari's Emission Insight Tool caters to a diverse array of use cases, including: - Historical Emission Estimation: Need to evaluate past carbon emissions for your company or others? Our tool provides accurate estimations based on historical data. - Scope 1-3 Data Completion: Fill gaps in your emission data across scopes 1-3 effortlessly, ensuring comprehensive coverage for your sustainability initiatives. - Portfolio Carbon Footprint Assessment: Assess the environmental impact of your investment portfolio by quantifying carbon emissions associated with each holding. - Identifying Environmental Leaders and Laggards: Pinpoint frontrunners and laggards in emission reduction efforts, facilitating informed decision-making and partnership selection. - Decoupling Evaluation: Evaluate the decoupling of economic growth from environmental degradation by analyzing emissions alongside economic, financial, and political factors. Our cutting-edge Emission Estimation Machine Learning Model, meticulously developed by Oxari, follows a comprehensive pipeline: 1. Data Collection: We gather granular emission and non-emission data from diverse sources including OECD data and company reports. 2. Data Cleaning: Through meticulous processing, missing values are estimated and erroneous entries are rectified, ensuring data integrity. 3. Scopes Variables: Emissions data is categorized into Scopes 1, 2, and 3, while input variables encompass financial data, industry specifics, and country-level information. 4. AI Model Training: Multiple AI models are trained to learn distinct patterns and associations from the input data, facilitating precise emission estimations. 5. Prediction Process: Trained models independently estimate emissions, with the final output derived from a weighted average, accounting for each model's accuracy during training. The core use cases of Oxari's financial data and ESG data are: - Profiling Carbon Impacts: Evaluate the carbon footprint of individual companies and broader portfolios. - ESG Benchmarking: Compare company performance within sectors or against leading indices. - ESG Risk and Opportunity Assessment: Identify sustainability-driven risks or opportunities within companies. - Informed Decision-making: Integrate sustainability metrics seamlessly into portfolio strategies. - Compliance and Reporting: Enhance sustainability disclosures and simplify regulatory compliance with robust ESG data. Moreover, our dataset supports sustainability disclosures, ESG reporting, and regulatory compliance initiatives. Hedge funds, venture capital, banks, impact consultants, and insurance companies leverage this dataset to empower investors, enabling them to evaluate investment opportunities and identify potential growth prospects across various industries. Included are direct emissions (Scope 1), indirect emissions (Scope 2), and upstream and downstream emissions (Scope 3).