A Hybrid LCA Framework for Drug-Level Carbon Footprint Assessment Under Data Constraints: Application to Narrower-Spectrum Penicillin
Abstract
The data and Python codes made available here can be used to produce the global and country-specific carbon footprint(s) of narrower-spectrum penicillin through the disaggregation of the pharmaceutical industry in the ICO-2023 EE-MRIO as described in the article titled: "A Hybrid LCA Framework for Drug-Level Carbon Footprint Assessment Under Data Constraints: Application to Narrower-Spectrum Penicillin". Rosalie H. Hagenaarsa, Arjan de Koninga, Reinout Heijungsa,b, Arnold Tukkera,c, Ranran Wanga,d,e a: Institute of Environmental Sciences (CML), Leiden University, P.O Box 9518, 2300 RA Leiden, The Netherlands. b: Department of Operations Analytics, Vrije Universiteit, De Boelelaan, 1105, 1081 HV Amsterdam, The Netherlands. c: The Netherlands Organization for Applied Scientific Research TNO, Den Haag, The Netherlands. d: State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China. e: Institute for the Environment and Health, Nanjing University Suzhou Campus, Suzhou 215163, China.
Fields of Study & Subjects
Environmental Impact and Sustainability
Pharmaceutical and Antibiotic Environmental Impacts
Chemistry and Chemical Engineering
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 13 January 2026
- Document type
- Dataset