Consumer preferences for sustainable food packaging: A joint analysis of random utility maximization and random regret minimization

Xiaolei Li; Qi Jiang; Wuyang Hu; Biqi Mao; Yanjun Ren

doi:10.3368/le.102.4.101524-0096R1

Research ArticleArticles

Consumer preferences for sustainable food packaging

A joint analysis of random utility maximization and random regret minimization

Xiaolei Li, Qi Jiang, Wuyang Hu, Biqi Mao and Yanjun Ren

Published online before print April 13, 2026, le.102.4.101524-0096R1; DOI: https://doi.org/10.3368/le.102.4.101524-0096R1

Xiaolei Li

Lecturer College of Economics and Management, Northwest A&F University No.3 Taicheng Road, Yangling, Shaanxi Province, 712100, China

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For correspondence: lixiaolei_ch{at}nwafu.edu.cn

Qi Jiang

Post-Doctoral Researcher Agricultural Sciences Department, Clemson University 140 McAdams, Clemson, 29631, USA

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For correspondence: qjiang2{at}clemson.edu

Wuyang Hu

Professor Department of Agricultural, Environmental and Development Economics, The Ohio State University 2120 Fyffe Road, Columbus, 43210, USA

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For correspondence: hu.1851{at}osu.edu

Biqi Mao

Associate Professor College of Mechanical and Electronic Engineering, Tarim University No.1487 Tarim Avenue, Alar City, Xinjiang Uygur Autonomous Region, 843300, China

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For correspondence: maobiqi{at}126.com

Yanjun Ren

Professor College of Economics and Management, Northwest A&F University No.3 Taicheng Road, Yangling, Shaanxi Province, 712100, China

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For correspondence: yanjun.ren{at}nwafu.edu.cn

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Consumer preferences for sustainable food packaging

Xiaolei Li, Qi Jiang, Wuyang Hu, Biqi Mao, Yanjun Ren

Land Economics Apr 2026, le.102.4.101524-0096R1; DOI: 10.3368/le.102.4.101524-0096R1

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Consumer preferences for sustainable food packaging

Xiaolei Li, Qi Jiang, Wuyang Hu, Biqi Mao, Yanjun Ren

Land Economics Apr 2026, le.102.4.101524-0096R1; DOI: 10.3368/le.102.4.101524-0096R1

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Keywords

sustainable packaging,
discrete choice experiment
random utility maximization
random regret minimization
C25
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A joint analysis of random utility maximization and random regret minimization

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