From production data to system assessment
The two experimental systems are not an end in themselves. They are research infrastructure for collecting evidence from farm operation through to potential economy-wide effects.
Work steps and methods
The research project investigates the feasibility and economic viability of climate-smart, circular agricultural systems in Malawi. It combines aquaponics, the rearing of the black soldier fly (BSF) for waste utilisation, and food processing.
Provision of infrastructure and experimental case studies
The project provides standardised, solar-powered production modules (aquaponics, BSF rearing, processing technology, solar dryers). In experimental case studies under real-world conditions, selected rural and urban stakeholders (families, cooperatives) test various technical processes. Guided by the project team, farm managers trial different scenarios regarding:
• efficiency and rearing of native tilapia species
• The cultivation of traditional vegetables, herbs and neglected crops (NUS)
• Utilisation of biogenic residues through black soldier fly (BSF) rearing
• Processing, preservation and storage of food and animal feed
Capacity building and training
A key component of the work is the training of stakeholders. This includes basic training and regular refresher courses on facility operation and food processing. In parallel, the professional development of farm managers is evaluated and the academic training of earlycareer researchers is supported.
Data collection and socio-economic impact research
A participatory approach using qualitative and quantitative methods is employed:
• Micro-level: Continuous collection of technical and economic operational data (infrastructure, operating and input costs).
• Socio-economic analysis: Interviews and focus group discussions.
• Impact measurement: Baseline and end-line surveys of project and control groups reveal changes in self-sufficiency and market access.
Impact measurement
Baseline and end-line surveys of project and control groups examine changes in self-sufficiency and market access.
Macroeconomic modelling
To estimate economies of scale, the microdata at household level are integrated into an existing computer-based general equilibrium (CGE) model for Malawi. This simulation forecasts the macroeconomic effects of large-scale roll-out on poverty reduction.