Return company level technology deviations for TMS sectors. To be used as input into calculation of company level aggregate alignment metrics for production trajectory sectors.

Usage

calculate_company_tech_deviation(
  data,
  technology_direction,
  scenario_source = "geco_2021",
  scenario = "1.5c",
  bridge_tech = c("none", "gascap"),
  time_frame = 5L
)

Arguments

data: data.frame. Holds the PACTA for Banks TMS results. Must have been calculated according to the increasing/decreasing logic of the CA100+ calculation and must return unweighted company level TMSR results.
technology_direction: data frame that indicates which technologies are to be considered phase down technologies versus build out technologies
scenario_source: Character. Vector that indicates which scenario_source to use for reference in the calculation of the alignment metrics. Currently, the only supported value is "geco_2021".
scenario: Character. Vector that indicates which scenario to calculate the alignment metric for. Must be a scenario available from scenario_source.
bridge_tech: Character. Vector that indicates if a technology is considered a bridge technology. I.e. if the scenario requires a temporary build out despite the need for a long term phase down. If so, the alignment metric can be treated differently than for other technologies. Currently, the only allowed values are ("none", "gascap"). Default is "none" which means that no special calculations are applied to any technology.
time_frame: Integer of length one. The number of forward looking years that should be considered in the analysis. Standard time_frame in PACTA is five years.