Sustainable FinanceECRMA Research
Green Loan Readiness: A Practical Framework for Turkish Exporters
This research note presents a structured readiness framework for Turkish exporters seeking access to green loan facilities. It examines strategy alignment, KPI architecture, data infrastructure requirements and documentation standards expected by international lenders under LMA Green Loan Principles and sustainability-linked finance criteria.
Research SummaryReviewed: August 2026
Carbon and CBAMECRMA Research
CBAM and Embedded Emissions: Data Readiness for Export Competitiveness
An analytical assessment of the data readiness requirements imposed by the EU Carbon Border Adjustment Mechanism on Turkish exporters in steel, aluminium, cement, fertiliser and electricity sectors. The note maps embedded emissions calculation obligations, reporting timelines and the strategic implications for export pricing and competitiveness.
Research SummaryReviewed: August 2026
Governance and ReportingECRMA Research
TSRS Reporting Readiness: Data Infrastructure and Governance
This note examines the data infrastructure and governance requirements for compliance with Turkish Sustainability Reporting Standards (TSRS), aligned with IFRS S1 and IFRS S2. It addresses materiality assessment, climate-related disclosure obligations, scenario analysis requirements and the organisational readiness conditions for first-year reporting.
Research SummaryReviewed: August 2026
Sustainable ValuationBIONIC Research
Survival-Adjusted Valuation: Integrating Climate Risk into Enterprise Value
A research model extending traditional discounted cash flow and enterprise valuation frameworks to incorporate physical climate risk, transition cost exposure and water stress. The model introduces a survival-probability adjustment factor that modifies terminal value assumptions under climate scenario analysis, providing a more complete picture of long-term enterprise value.
Research SummaryReviewed: August 2026
AI and SustainabilityBGAM Research
AI-Enabled Carbon Data Management: Architecture and Implementation
This note examines the architecture and implementation considerations for AI-assisted carbon data management systems. It covers data collection automation, emissions factor libraries, Scope 1, 2 and 3 boundary management, audit trail requirements and integration with GHG Protocol-aligned reporting workflows.
Research SummaryReviewed: August 2026
Research Governance
All published research summaries are attributed to their originating brand. ECRMA, BGAM Research and BIONIC content retains its respective intellectual-property attribution. Research summaries do not constitute investment advice, official ratings or regulatory guidance.