Original Research: How Will the TNFD Impact the Health Sector’s Nature-Risks Management?

Abstract

The G20-led TNFD taskforce or TNFD is under development and should be ready in September 2023. With one year to go before its official release, the study of the beta versions of the 0.2 framework is crucial to know the strategy of the taskforce regarding metrics and sectors with high natural risks. Its big sister, the Taskforce on Climate-related Financial Disclosure or TCFD, had defined the health sector as a non-key in terms of climate change and carbon risks, but the TNFD decided that it was a priority in terms of nature-related risks and co-dependencies. This research therefore focuses on the innovations of the TNFD and its impact on future disclosures in the sector. The goal being to predict if the TNFD will lead to more disclosures and therefore better risk management from the health firms. To complete this research, the analysis of the sector’s risks and dependencies on nature-related issues and biodiversity loss was essential. To do so, a policy analysis on the framework of the TNFD was conducted, as well as a literature review on nature related risks and opportunities for the health sector. The Health Sector-Wide Approach (SWAp) was analysed to highlight the Task Force’s focus on the health sector. Finally, a due diligence of the TNFD’s stakeholders and partners was carried out to ascertain the interest and participation of health sector actors in the TNFD. Results have shown that Nature risks were important for the sector and that the TNFD was giving more importance to the sector in terms of priority. On the contrary, the health sector does not show an improved interest in this new taskforce. There is a need for more research in the implementation of Nature-financial metrics for disclosures.

Predicting the Intention to Adopt Innovation in Supply Chain Finance

“…The Taskforce on Nature-related Financial Disclosures (TNFD Framework) is another traditional approach to predicting better risk management from health firms. Deweerdt et al (2022) discovered that many factors can stifle innovation because companies cannot predict the return, and innovation is complex and unclear to achieve. Moreover, Erfanian et al (2022) included ordinary least squares (OLS) and multilayer perceptron (MLP) to predict the BTC price.…”