An Exploration of Uncertainties in Translating CO2 Emissions Data for the Evaluation of Private Investment Risk
Abstract
Socially Responsible Investment (SRI) is a financial behavior that incorporates ethical,
environmental and economic (SEE) risk criteria into private investment decision making.
Investor demands for SRI has grown at a rapid pace in the last decade, tenfold in
US alone with $6.20 trillion-worth of domiciled assets. However, as a priori links
between some socio-environmental aspect of corporate activities and investment risk
are yet explicitly identified, while more corporate entity-level environmental data
are becoming available, some causal interactions of environment, social risks with
investment risk are often too complex to define, significantly uncertain or else non-quantifiable.
Using the expert elicitation (7 panels of experts from IFC, ADB, and private consulting
and investment companies), this project explores how and what investment risks are
actually perceived through environmental indicators; what and where spatial and temporal
feedback mechanisms exist in the investment community in a way presumably different
from the purely physical, natural environment. It also finds which corresponding investment
behaviors would likely take place in response to their perceptions.
Type
Master's projectSubject
Environmental investmentSustainable investment
Socially Responsible Investment
Impact Investment
ESG rating
Climate finance
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https://hdl.handle.net/10161/11942Citation
Chin, Seunghee (2016). An Exploration of Uncertainties in Translating CO2 Emissions Data for the Evaluation
of Private Investment Risk. Master's project, Duke University. Retrieved from https://hdl.handle.net/10161/11942.Collections
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