Replication code and data for "The Uncertain Policy Price of Scaling Direct Air Capture"

Replication code and data for the paper "The Uncertain Policy Price of Scaling Direct Air Capture". The folder replication_code contains the code and the raw data generated from the Monte Carlo simulation of the model. To run the code, you should have R and GAMS installed, download all the required packages (listed in replication_code/_targets.R, line 8, and run Rscript run.R from the replication_code folder. By default, the code runs in replication mode: it does not launch the WITCH model Monte Carlo simulation from scratch but reads the data in the folder witch/gsa. This default behavior can be changed by modifying the variable run_mode in replication_code/_targets.R, line 41, to any other string. Note that the code is built to run on an LSF machine with specific settings and queues. The folder processed_data contains the input-output data of the model, and the files' names correspond to the names of the related R objects in the code. In particular: inputs contains the inputs for the Monte Carlo simulation. original_order contains the permutation that reorders "inputs" consistently with the outputs. pol_costs_* contains the policy costs (GDP or consumption) for the two scenarios (NDC and LTS) in Trillion USD (yearly if specified, net present value with 3% discount rate otherwise). removed_emissions_* contains the removed emissions by DAC for the two scenarios (NDC and LTS) in Gigaton of CO2 (yearly if specified, in 2050 otherwise). subsidies_* contains the subsidies distributed for the two scenarios (NDC and LTS) in trillion USD (yearly if specified, net present value with 3% discount rate otherwise). subsidies_perc_* contains the subsidies distributed over carbon tax revenues for the two scenarios (NDC and LTS) in percentage. subsidies_avr_* contains the average subsidies for the two scenarios (NDC and LTS) between 2025 and 2050 in USD/tCO2.