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Unlocking the potential of surplus food: A blockchain approach to enhance equitable distribution and address food insecurity in Italy

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Listed:
  • Yu, Mengting
  • Principato, Ludovica
  • Formentini, Marco
  • Mattia, Giovanni
  • Cicatiello, Clara
  • Capoccia, Leonardo
  • Secondi, Luca

Abstract

Food insecurity and food surplus are two pressing issues that have been exacerbated by the COVID-19 pandemic. This paper presents a novel approach to addressing these problems using blockchain technology. More specifically, data from the Italian Regusto platform are analysed to identify factors that determine the volume and economic value of surplus food redistribution.

Suggested Citation

  • Yu, Mengting & Principato, Ludovica & Formentini, Marco & Mattia, Giovanni & Cicatiello, Clara & Capoccia, Leonardo & Secondi, Luca, 2024. "Unlocking the potential of surplus food: A blockchain approach to enhance equitable distribution and address food insecurity in Italy," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    • Handle: RePEc:eee:soceps:v:93:y:2024:i:c:s0038012124000673
    DOI: 10.1016/j.seps.2024.101868
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    References listed on IDEAS

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    1. Stefano Marchetti & Luca Secondi, 2022. "The Economic Perspective of Food Poverty and (In)security: An Analytical Approach to Measuring and Estimation in Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(3), pages 995-1020, August.
    2. Michelini, Laura & Principato, Ludovica & Iasevoli, Gennaro, 2018. "Understanding Food Sharing Models to Tackle Sustainability Challenges," Ecological Economics, Elsevier, vol. 145(C), pages 205-217.
    3. Anja Simmet & Peter Tinnemann & Nanette Stroebele-Benschop, 2018. "The German Food Bank System and Its Users—A Cross-Sectional Study," IJERPH, MDPI, vol. 15(7), pages 1-18, July.
    4. Susanna Levantesi & Gabriella Piscopo, 2020. "The Importance of Economic Variables on London Real Estate Market: A Random Forest Approach," Risks, MDPI, vol. 8(4), pages 1-17, October.
    5. Pervin Ersoy & Gülmüş Börühan & Sachin Kumar Mangla & Jorge Hernandez Hormazabal & Yigit Kazancoglu & Çisem Lafcı, 2022. "Impact of information technology and knowledge sharing on circular food supply chains for green business growth," Business Strategy and the Environment, Wiley Blackwell, vol. 31(5), pages 1875-1904, July.
    6. Friedman, Nicola & Ormiston, Jarrod, 2022. "Blockchain as a sustainability-oriented innovation?: Opportunities for and resistance to Blockchain technology as a driver of sustainability in global food supply chains," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    7. Nair, Divya J. & Rashidi, Taha Hossein & Dixit, Vinayak V., 2017. "Estimating surplus food supply for food rescue and delivery operations," Socio-Economic Planning Sciences, Elsevier, vol. 57(C), pages 73-83.
    8. Nica-Avram, Georgiana & Harvey, John & Smith, Gavin & Smith, Andrew & Goulding, James, 2021. "Identifying food insecurity in food sharing networks via machine learning," Journal of Business Research, Elsevier, vol. 131(C), pages 469-484.
    9. Tanzid Hasnain & Irem Sengul Orgut & Julie Simmons Ivy, 2021. "Elicitation of Preference among Multiple Criteria in Food Distribution by Food Banks," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4475-4500, December.
    10. Carla Gonçalves & Sónia Saraiva & Fernando Nunes & Cristina Saraiva, 2023. "Food Waste in Public Food Service Sector—Surplus and Leftovers," Resources, MDPI, vol. 12(10), pages 1-10, October.
    11. Mahmoudi, Monirehalsadat & Shirzad, Khadijeh & Verter, Vedat, 2022. "Decision support models for managing food aid supply chains: A systematic literature review," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    12. Lee, Deishin & Sönmez, Erkut & Gómez, Miguel I. & Fan, Xiaoli, 2017. "Combining two wrongs to make two rights: Mitigating food insecurity and food waste through gleaning operations," Food Policy, Elsevier, vol. 68(C), pages 40-52.
    13. Lester Blackmon & Ross Chan & Omar Carbral & Geeta Chintapally & Sandip Dhara & Peter Felix & Aditi Jagdish & Srini Konakalla & Jasbir Labana & Jeff McIlvain & Jason Stone & Christopher S. Tang & Jaso, 2021. "Rapid Development of a Decision Support System to Alleviate Food Insecurity at the Los Angeles Regional Food Bank amid the COVID‐19 Pandemic," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3391-3407, October.
    14. Loann D. Desboulets, 2018. "A Review on Variable Selection in Regression Analysis," AMSE Working Papers 1852, Aix-Marseille School of Economics, France.
    15. Strotmann, Christina & Baur, Vanessa & Börnert, Nora & Gerwin, Paula, 2022. "Generation and prevention of food waste in the German food service sector in the COVID-19 pandemic – Digital approaches to encounter the pandemic related crisis," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
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