Love thy neighbor – reducing driving through green slot labels in e-commerce

With the rapid growth of e-commerce and its negative externalities, an emerging literature examines the potential of nudging consumers towards more environmentally friendly delivery options. We contribute by analyzing a quasi-natural experiment of green labeling, investigating revealed preference data from 35,828 Norwegian customers over five weeks in 2024. A green label marks delivery slots that enable route optimization, thereby minimizing driving and related externalities. We exploit the quasi-random assignment of green labels, and a pricing randomized control trial, to estimate the label effect and the willingness to pay for green delivery using a multinomial logit model. Results show that the probability of choosing a slot more than doubles when labeled as green. Moreover, we find a willingness to pay of €1 for green delivery, ultimately suggesting that consumers value green services and that green labeling is an effective tool for online retailers to minimize delivery costs.

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Publication Details

Journal
Transportation Research Part D Transport and Environment
Published
2026-02-04
DOI
https://doi.org/10.1016/j.trd.2026.105252
Primary Topic
Urban and Freight Transport Logistics
Type
article
Field-Weighted Citation Impact
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article

Love thy neighbor – reducing driving through green slot labels in e-commerce

Nora Svarstad Ytreberg, Guri Natalie Jordbakke
Transportation Research Part D Transport and Environment
Urban and Freight Transport Logistics
article

Love thy neighbor – reducing driving through green slot labels in e-commerce

Nora Svarstad Ytreberg, Guri Natalie Jordbakke
article en

Abstract

With the rapid growth of e-commerce and its negative externalities, an emerging literature examines the potential of nudging consumers towards more environmentally friendly delivery options. We contribute by analyzing a quasi-natural experiment of green labeling, investigating revealed preference data from 35,828 Norwegian customers over five weeks in 2024. A green label marks delivery slots that enable route optimization, thereby minimizing driving and related externalities. We exploit the quasi-random assignment of green labels, and a pricing randomized control trial, to estimate the label effect and the willingness to pay for green delivery using a multinomial logit model. Results show that the probability of choosing a slot more than doubles when labeled as green. Moreover, we find a willingness to pay of €1 for green delivery, ultimately suggesting that consumers value green services and that green labeling is an effective tool for online retailers to minimize delivery costs.

Transportation Research Part D Transport and EnvironmentVol. 154
University of Oslo (NO), Institute of Transport Economics (NO), CICERO Center for International Climate Research (NO), Norwegian University of Life Sciences (NO)
Life in Land, Responsible consumption and production
Openalex Percentile: Top 66%
Urban and Freight Transport Logistics
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Love thy neighbor – reducing driving through green slot labels in e-commerce — Nora Svarstad Ytreberg, Guri Natalie Jordbakke · Transportation Research Part D Transport and Environment (2026) | TGRS Research Map | TGRS