Tools to Calculate Climate Targets for Financial Portfolios
c(person(given = "Jackson",
family = "Hoffart",
role = c("aut", "cre"),
email = "jackson.hoffart@gmail.com",
comment = c(ORCID = "0000-0002-8600-5042")),
person(given = "Mauro",
family = "Lepore",
role = c("aut", "ctr"),
email = "maurolepore@gmail.com",
comment = c(ORCID = "0000-0002-1986-7988")),
person(given = "Klaus",
family = "Hogedorn",
role = "aut",
email = "klaus@2degrees-investing.org"),
person(given = "2 Degrees Investing Initiative",
role = c("cph", "fnd"),
email = "contact@2degrees-investing.org"))
These tools help you to assess if a financial
portfolio aligns with climate goals. They summarize key metrics
attributed to the portfolio (e.g. production, emission factors), and
calculate targets based on climate scenarios. They implement in R the
last step of the free software 'PACTA' (Paris Agreement Capital
Transition Assessment; <https://2degrees-investing.org/>). Financial
institutions use 'PACTA' to study how their capital allocation impacts
the climate.
dplyr, magrittr, rlang (>= 0.1.2), tidyr
covr, r2dii.data, r2dii.match, roxygen2, spelling, testthat
(>= 2.1.0)
Jackson Hoffart [aut, cre] (<https://orcid.org/0000-0002-8600-5042>),
Mauro Lepore [aut, ctr] (<https://orcid.org/0000-0002-1986-7988>),
Klaus Hogedorn [aut],
2 Degrees Investing Initiative [cph, fnd]

dplyr, glue, magrittr, r2dii.data, rlang (>= 0.1.2), tidyr,
tidyselect
covr, r2dii.match, rmarkdown, roxygen2, spelling, testthat
(>= 2.1.0)

Tools to Measure Climate Scenario Alignment of Corporate Lending
Portfolios
These tools help you to assess if a corporate lending
portfolio aligns with climate goals. They summarize key climate
indicators attributed to the portfolio (e.g. production, emission
factors), and calculate alignment targets based on climate scenarios.
They implement in R the last step of the free software 'PACTA' (Paris
Agreement Capital Transition Assessment;
<https://2degrees-investing.org/>). Financial institutions use 'PACTA'
to study how their capital allocation decisions align with climate
change mitigation goals.
dplyr (>= 0.8.5), glue, magrittr, r2dii.data, rlang, tidyr,
tidyselect, zoo