Financed emissions from chartered-in shipping capacity
A Hong Kong bank has a HKD 500 million term loan to a container shipping company with an enterprise value of HKD 5 billion. The bank is calculating financed emissions under the PCAF approach. The borrower reports fuel consumption for its owned vessels, producing 120,000 tCO2e of Scope 1 emissions. About 60% of the borrower's TEU capacity is chartered in, but the borrower does not report fuel data for those vessels. The bank estimates the chartered-in emissions at 80,000 tCO2e using a freight-activity model. The relationship manager wants to assign the best possible data quality score because the borrower is a large listed issuer with an ESG report. The bank has a 2030 portfolio target for shipping and is deciding whether to include this exposure in the target boundary. The loan covenant currently requires annual ESG reporting but does not specify fuel or emissions data.
1. Calculate the attributed financed emissions and assess the appropriate PCAF data quality treatment.
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Attribution = HKD 500 million / HKD 5 billion = 10%. Attributed emissions = 10% x (120,000 + 80,000) = 20,000 tCO2e. The data quality should not be assigned as the best score simply because the borrower is listed. The owned-vessel portion uses fuel consumption, which is higher quality. The chartered-in portion, representing 60% of TEU capacity, is estimated with a freight-activity model and is lower quality. Under PCAF, the bank should document the score by data source and weight the portfolio score by exposure or emissions. It should disclose the estimation method, the share estimated and the uncertainty. Assigning a top score would overstate precision and weaken target credibility. A reasonable approach is to score the owned portion better than the estimated portion and set an engagement condition to obtain charter-party fuel data.
2. Should the exposure be included in the 2030 shipping target? Explain the boundary and target-design issues.
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The exposure should generally be included because the bank has financed a shipping company whose material emissions arise from vessels it operates, including chartered-in capacity. Excluding 60% of capacity would allow the target to be met by shifting activity to chartered vessels, which is not a real decarbonisation outcome. The target should define the boundary clearly: owned and chartered-in vessels, well-to-wake or tank-to-wake, and the activity metric, such as gCO2e per tonne-kilometre or TEU-kilometre. The base year and attribution method should be fixed. Because the chartered data is estimated, the bank should set a data-quality improvement pathway and recalculate when better data arrives. It should also check that the target covers the borrower's material Scope 1 rather than only the bank's lending share. Including the exposure with disclosed estimates is more credible than excluding it.
3. What engagement and covenant actions would you recommend?
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The bank should require the borrower to report fuel consumption and emissions for chartered-in vessels as well as owned vessels, ideally by vessel or charter party. It can add a covenant requiring annual PCAF-aligned data, a data-quality improvement plan and explanation of estimation methods. The bank should use its influence to ask for vessel efficiency measures, route optimisation, alternative fuels and chartering clauses that require emissions data. If the borrower cannot provide data, the bank should continue using conservative estimates, disclose them and set a milestone with consequences. The relationship manager should not accept general ESG reporting as sufficient. Escalation should occur if the borrower misses the data milestone. The bank should also train credit staff so that the covenant is monitored, not just signed.