Jamshoro · Transition modelFACILITY

The facility's dominant dependency is water for manufacturing operations, within the INDUS watershed where baseline water stress is Low-Medium (BWS score 1.21, 10-20%) but overall water risk is rated High (3.6, 60-75%) — driven primarily by untreated wastewater discharge risk (3.97) and riverine flood exposure (3.29), with coastal flood risk also material (2.40). The dominant impact channel is Scope 2 GHG via grid electricity: Pakistan's observed 2023 grid intensity is 480 gCO2/kWh (Ember 2024), well above OECD averages, meaning energy consumed on-site carries a heavy embedded carbon load today. No production, water withdrawal, or discharge volume flows are populated for this site, limiting quantification of absolute exposure.

By 2030, IEA WEO 2024 STEPS projects Pakistan's grid intensity falling to 350 gCO2/kWh — a meaningful but incomplete decarbonisation (27% reduction from 2023 observed), meaning Scope 2 emissions intensity will ease but remain above global benchmarks. Water risk horizon data (2030/2050/2080 wd/ws scores and labels) is entirely unpopulated, so no forward view on stress trajectory is available; physical water risk should be treated as static at today's High rating (3.6) for planning purposes absent updated modelling. Wastewater treatment infrastructure and flood defense investment are the near-term levers most likely to shift the site's risk profile, though no site-specific capex or mitigation flow data is present in this dataset.

The grid decarbonisation trajectory continues to 215 gCO2/kWh by 2050 under STEPS — a further 39% drop from the 2030 horizon and 55% below 2023 observed levels — indicating Pakistan's power sector is on a credible, if gradual, decarbonisation path that should structurally de-risk this facility's Scope 2 footprint over time. However, residual physical risk is the key open question: with no 2050/2080 water stress or depletion horizon data populated, the site's exposure to Indus basin hydrology shifts (upstream glacial melt, monsoon variability, flood frequency) cannot be assessed from this dataset and warrants direct engagement with GSK on updated water risk modelling.