Quantitative analysis of food waste from wholesale to households in Colombo, Sri Lanka

Nilanthi Jayathilake, Mohamed Aheeyar, Pay Drechsel and C. Bucatariu

No 339134, IWMI Reports from International Water Management Institute

Abstract: Currently, in Sri Lanka, strategies to address FW prevention and reduction are being considered by different state and non-state stakeholders. However, in the current scenario, solutions for FW are mostly addressing (bio-)waste management. Quantifying FW is of paramount importance in understanding the magnitude and socio-economic as well as environmental impacts of the problem. A good understanding of the availability and quality of FW data is a prerequisite for tracking progress on reduction targets, analyzing environmental impacts, and exploring mitigation strategies for FLW (Xue et al., 2019). FW quantification aims at creating a robust evidence base for developing strategies, action plans, and policies towards FW prevention, reduction, and management as well as guide prioritization of actions, evaluation of solutions, and monitoring progress (CEC, 2019).

Keywords: Agricultural and Food Policy; Community/Rural/Urban Development; Consumer/Household Economics; Environmental Economics and Policy; International Development; Marketing (search for similar items in EconPapers)
Pages: 43p.
Date: 2023-07-19
New Economics Papers: this item is included in nep-agr and nep-env
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/339134/files/H052087.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:iwmirp:339134

DOI: 10.22004/ag.econ.339134

Access Statistics for this paper

More papers in IWMI Reports from International Water Management Institute Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().