New Zealand Journal of Crop and Horticultural Science· 2026Q2
Mapping Postharvest Losses in Red Chili Value Chains Using System Dynamics: A Case Study of Pakistan
- 0citations
- Q2SCImago
- 2026year
Short summary
A system dynamics model reveals that postharvest losses in Pakistan's red chili value chains are systemic and cumulative, requiring integrated interventions rather than isolated stage-specific fixes.
AI-generated from the title and abstract; the full text is not read.
Key points
- Postharvest losses in Pakistan's red chili value chains are systemic and cumulative.
- Value stream mapping and system dynamics were used to analyze losses in Karachi, Lahore, and Faisalabad markets.
- Interventions targeting single stages are less effective than those addressing interconnected feedback loops.
- Key areas for improvement include storage capacity, market information systems, and quality management.
AI-generated from the title and abstract; the full text is not read.
Abstract
Postharvest losses (PHLs) are the most significant issue affecting red chili value chains in Pakistan, undermining their overall competitiveness and performance. Sindh is the major chili‐producing province, with clusters in the Kunri and Umerkot districts of its Mirpurkhas division. The literature on the extent of PHL in horticultural value chains in Pakistan is scarce and reported in an isolated, stage‐specific manner. This study utilized a system‐wide approach, proposing that PHLs result from an interdependent relationship among value chain actors, processes, and institutions. We used a qualitative, field‐based approach with value stream mapping and system dynamics to examine the causes of PHLs in three major markets: Karachi, Lahore, and Faisalabad. The data were collected through informal discussions, focus group discussions (FGDs), semistructured interviews, and direct observations of both upstream and downstream actors. The structured process‐mapping tables described the steps, holding times, and loss mechanisms within the chains. The collected data were integrated to construct a causal loop diagram (CLD). The findings revealed that the losses are systemic and cumulative across all markets and are compounded by postharvest inefficiencies. The CLD found that stage‐specific interventions are less effective; reducing PHL with a single intervention is not possible unless connected feedback loops, such as increased storage capacity, market information systems, and quality management systems, are also modified. The study's findings contribute to understanding PHL as a systemic phenomenon and will help policymakers implement effective policies.
The authors' abstract, as published at the source. New Zealand Journal of Crop and Horticultural Science, 2026 · DOI ↗
Continue with a free account
Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.
Continue free on the webSign in with Google or Apple; no card needed. You come back to this paper.
On your phone:
Field: Food Science
Food ScienceAgricultural and Biological Sciences