BNP Paribas Asset Management, along with prominent investors such as Federated Hermes Ltd., Mirova, Robeco, and Storebrand Asset Management, has issued a statement urging ESG (Environmental, Social, and Governance) data providers to provide “better ocean-related data.”
This call for enhanced data follows the landmark Kunming-Montreal Agreement of 2022, which outlines ambitious frameworks aimed at safeguarding 30% of the world’s lands and inland waters by 2030.
With biodiversity loss at the forefront of global concerns, investors recognize their pivotal role in mitigating threats to the blue economy.
The statement mentioned that investors “can play to halt and reverse biodiversity loss”. The joint statement highlighted the value of the blue economy and the potential threats.
The economic value of the planet’s oceans stands currently at $2.5 trillion, in addition to the number of jobs depending on them, as per the statement, highlighting the vitality of oceans.
However, the oceans are under threat due to human beings’ anthropocentric approach, which leads to overexploitation of the oceans.
Also read: Riding the wave to ‘Awaken New Depths’: Renewable Energy and The Blue Economy
The parties involved are appealing to ESG data providers by keeping Target 15 of the Montreal Agreement in mind.
The target provision involves the government urging companies “to assess and disclose their dependencies, impacts, risks and opportunities on nature, through their operations, supply and value chains, and portfolios.”
The intention behind the investor group’s request to obtain efficient data is to integrate ocean-related data into their evaluations. This will allow them to pinpoint areas of risk and opportunity within their portfolios, thus enhancing their decision-making capabilities.
Equipped with such insights, investors can actively engage with their investees on ocean-related topics, fostering dialogue and encouraging responsible practices.
The statement also lists the expectations of the investors or parties issuing the statement.