TY - JOUR
T1 - Sharing economy rebound
T2 - The case of peer-to-peer sharing of food waste
AU - Meshulam, Tamar
AU - Font-Vivanco, David
AU - Blass, Vered
AU - Makov, Tamar
N1 - Publisher Copyright:
© 2022 The Authors. Journal of Industrial Ecology published by Wiley Periodicals LLC on behalf of the International Society for Industrial Ecology.
PY - 2023/6
Y1 - 2023/6
N2 - The digital sharing economy is commonly thought to promote sustainable consumption and improve material efficiency through better utilization of existing product stocks. However, the cost savings and convenience of using digital sharing platforms can ultimately stimulate additional demand for products and services. As a result, some or even all of the expected environmental benefits attributed to sharing could be offset, a phenomenon known as the rebound effect. Relying on a unique dataset covering over 750,000 food items shared in the United Kingdom through a free peer-to-peer food-sharing platform, we use econometric modeling, geo-spatial network analysis, and environmentally extended input–output analysis to quantify how much of the expected environmental benefits attributed to sharing are offset via rebound effects under seven re-spending scenarios. We find that rebound effects can offset 59–94% of expected greenhouse gas (GHG) emission reduction, 20–81% of expected water depletion benefits, and 23–90% of land use benefit as platform users re-spent the money saved from food sharing on other goods and services. Our results demonstrate that rebound effects could limit the potential to achieve meaningful reductions in environmental burdens through sharing, and highlight the importance of incorporating rebound effects in environmental assessments of the digital sharing economy.
AB - The digital sharing economy is commonly thought to promote sustainable consumption and improve material efficiency through better utilization of existing product stocks. However, the cost savings and convenience of using digital sharing platforms can ultimately stimulate additional demand for products and services. As a result, some or even all of the expected environmental benefits attributed to sharing could be offset, a phenomenon known as the rebound effect. Relying on a unique dataset covering over 750,000 food items shared in the United Kingdom through a free peer-to-peer food-sharing platform, we use econometric modeling, geo-spatial network analysis, and environmentally extended input–output analysis to quantify how much of the expected environmental benefits attributed to sharing are offset via rebound effects under seven re-spending scenarios. We find that rebound effects can offset 59–94% of expected greenhouse gas (GHG) emission reduction, 20–81% of expected water depletion benefits, and 23–90% of land use benefit as platform users re-spent the money saved from food sharing on other goods and services. Our results demonstrate that rebound effects could limit the potential to achieve meaningful reductions in environmental burdens through sharing, and highlight the importance of incorporating rebound effects in environmental assessments of the digital sharing economy.
KW - environmental input–output analysis
KW - food waste
KW - industrial ecology
KW - multi-regional input–output analysis
KW - rebound effect
KW - sharing economy
UR - http://www.scopus.com/inward/record.url?scp=85137222851&partnerID=8YFLogxK
U2 - 10.1111/jiec.13319
DO - 10.1111/jiec.13319
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AN - SCOPUS:85137222851
SN - 1088-1980
VL - 27
SP - 882
EP - 895
JO - Journal of Industrial Ecology
JF - Journal of Industrial Ecology
IS - 3
ER -