Comparing treatments to reduce hypothetical bias in choice experiments regarding organic food

Author:

Gschwandtner Adelina1ORCID,Burton Michael2ORCID

Affiliation:

1. University of Kent, Canterbury, UK

2. The University of Western Australia (M087), 35 Stirling Highway, Room G021, Agriculture North West Wing, Perth campus, 6009 Perth, Australia

Abstract

Abstract Hypothetical bias is one of the strongest criticisms brought to stated preference methods. We evaluate and compare the use of Cheap Talk and Honesty Priming as methods to mitigate such bias. Our study analyses the demand for organic food products in the UK, and the results reveal a core of consumers with positive willingness to pay (WTP) for organic. However, when correcting for hypothetical bias, consumers appear to be willing to pay even more for other attributes. Most importantly, the results show that implementing mechanisms to correct for hypothetical bias are efficient to reduce WTP, with Cheap Talk having a higher overall significance than Honesty Priming.

Publisher

Oxford University Press (OUP)

Subject

Economics and Econometrics,Agricultural and Biological Sciences (miscellaneous)

Reference115 articles.

1. Willingness to pay for curbside recycling with detection and mitigation of hypothetical bias;Aadland;American Journal of Agricultural Economics,2003

2. Combining revealed and stated preference methods for valuing environmental amenities;Adamowicz;Journal of Environmental Economics and Management,1994

3. Personal determinants of organic food consumption: a review;Aertsens;British Food Journal,2009

4. Agro-biotechnology and organic food purchase in the United Kingdom;Arbindra;British Food Journal,2005

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3