Datensatz

Zusammenfassung

Shifting consumers towards more sustainable food consumption and
avoiding food waste have been identified as key levers in mitigating
food systems-related climate change impacts. Here we conducted a
machine-learning-assisted systematic review and meta-analysis of 306 effect
sizes from 110 articles, covering over 2.4 million observations, to assess the
effectiveness of demand-side interventions targeting actual or incentivized
behaviours. On average, we find small effect sizes across both food
consumption and food waste interventions. Effect sizes vary substantially
across intervention types, with certain choice architecture interventions,
such as availability and defaults, driving much of the overall effect in both
domains, while incentives also show promise in reducing food waste. These
effects remain robust even after accounting for severe publication bias,
which notably reduces average estimates for other intervention types.
Sensitivity analyses further underscore the need for future research to
systematically identify when, how and why interventions are effective.