m3_get_mort_pm25_ecoloss — m3_get_mort_pm25

Produce economic damages associated with premature mortality attributable to PM2.5 exposure based on the IER functions from Burnett et al (2014), consistent with the GBD 2016 study. The economic valuation takes as a base value the widely accepted Value of Statistical Life (VSL) of the OECD for 2005. This value, according to the literature ranges between US$1.8 and $4.5 million. The calculations for all regions are based on the “unit value transfer approach” which adjusts the VSL according to their GDP and GDP growth rates. (Markandya et al 2018)

m3_get_mort_pm25_ecoloss(
  db_path,
  query_path,
  db_name,
  prj_name,
  scen_name,
  ssp = "SSP2",
  final_db_year = 2100,
  queries,
  saveOutput = T,
  map = F,
  anim = T
)

Source

Narain, U. and Sall, C., 2016. Methodology for Valuing the Health Impacts of Air Pollution//// Markandya, A., Sampedro, J., Smith, S.J., Van Dingenen, R., Pizarro-Irizar, C., Arto, I. and González-Eguino, M., 2018. Health co-benefits from air pollution and mitigation costs of the Paris Agreement: a modelling study. The Lancet Planetary Health, 2(3), pp.e126-e133.

Arguments

db_path: Path to the GCAM database
query_path: Path to the query file
db_name: Name of the GCAM database
prj_name: Name of the rgcam project. This can be an existing project, or, if not, this will be the name
scen_name: Name of the GCAM scenario to be processed
ssp: Set the ssp narrative associated to the GCAM scenario. c("SSP1","SSP2","SSP3","SSP4","SSP5"). By default is SSP2
final_db_year: Final year in the GCAM database (this allows to process databases with user-defined "stop periods")
queries: Name of the GCAM query file. The file by default includes the queries required to run rfasst
saveOutput: Writes the emission files.By default=T
map: Produce the maps. By default=F
anim: If set to T, produces multi-year animations. By default=T

Value

Economic damages associated with mortality attributable to PM2.5 exposure for each TM5-FASST regions for all years (Million$2015). The list of countries that form each region and the full name of the region can be found in Table S2.2 in the TM5-FASST documentation paper: Van Dingenen, R., Dentener, F., Crippa, M., Leitao, J., Marmer, E., Rao, S., Solazzo, E. and Valentini, L., 2018. TM5-FASST: a global atmospheric source-receptor model for rapid impact analysis of emission changes on air quality and short-lived climate pollutants. Atmospheric Chemistry and Physics, 18(21), pp.16173-16211.