Version 1
: Received: 20 August 2022 / Approved: 23 August 2022 / Online: 23 August 2022 (08:53:11 CEST)
How to cite:
Yu, M.; Palumbo, L.; Secondi, L. Saving Food from Waste or Advance Selling? An Empirical Analysis of Too Good To Go Offering in Rome. Preprints2022, 2022080397. https://doi.org/10.20944/preprints202208.0397.v1
Yu, M.; Palumbo, L.; Secondi, L. Saving Food from Waste or Advance Selling? An Empirical Analysis of Too Good To Go Offering in Rome. Preprints 2022, 2022080397. https://doi.org/10.20944/preprints202208.0397.v1
Yu, M.; Palumbo, L.; Secondi, L. Saving Food from Waste or Advance Selling? An Empirical Analysis of Too Good To Go Offering in Rome. Preprints2022, 2022080397. https://doi.org/10.20944/preprints202208.0397.v1
APA Style
Yu, M., Palumbo, L., & Secondi, L. (2022). Saving Food from Waste or Advance Selling? An Empirical Analysis of Too Good To Go Offering in Rome. Preprints. https://doi.org/10.20944/preprints202208.0397.v1
Chicago/Turabian Style
Yu, M., Luigi Palumbo and Luca Secondi. 2022 "Saving Food from Waste or Advance Selling? An Empirical Analysis of Too Good To Go Offering in Rome" Preprints. https://doi.org/10.20944/preprints202208.0397.v1
Abstract
Food waste is one of the greatest challenge to sustainability in developed and developing countries.In the former, food waste is concentrated in the final part of the chain. Too Good To Go is a digitalplatform aimed to prevent food waste, where consumers can buy magic boxes from different outletscontaining food products that are approaching their end-of-life.However, the mechanism of theplatform enable the outlets to publish their offering much in advance of the pick-up time, raising thequestion whether the food sold on the platform is effectively a leftover or a planned production. Ourempirical study gathers data from over 1200 outlets in Rome on the Too Good To Go platform.
Keywords
food waste; web scraping; Too Good To Go; empirical analysis
Subject
Business, Economics and Management, Econometrics and Statistics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.