A systematic survey of the online trade in elephant ivory in Singapore before and after a domestic trade ban

Author:

Yeo Hazelina H.T.ORCID,Ng Sean J.W.ORCID,Lee Janelle S.R.ORCID,Soh Malcolm C.K.ORCID,Wong Anna M.S.ORCID,Loo Adrian H.B.ORCID,Er Kenneth B.H.ORCID

Abstract

Abstract The illegal online trade in wildlife has increased significantly over the last 2 decades. Applying a systematic survey approach, we examined the online trade in elephant ivory before and after the implementation of a domestic trade ban in Singapore, to understand the forms of elephant ivory offered for sale, the e-commerce sites used and the effect of the domestic trade ban. Using elephant ivory and lookalikes in form, shape and colour as proxies for elephant ivory, we found that most of the online listings consisted of bird cages and related accessories such as bird feeding cups and ornaments used to adorn them. After the domestic trade ban in elephant ivory was implemented on 1 September 2021, a 76% drop in total listings was observed. Causal impact analysis indicated a strong causal effect of the domestic trade ban, resulting in an 83% drop in the mean number of new listings found weekly relative to the predicted counterfactual market response based on a Bayesian structural time-series model in the absence of the ban. E-commerce sites play an important role in combatting illegal wildlife trade online by removing flagged listings and sending notifications to raise awareness of the ban. We found textual descriptions of products to be more effective for preliminary differentiation of legal and potentially illegal listings compared to the detection of Schreger lines in images, although this remains a significant challenge for law enforcement. Our findings can inform future efforts to develop automated detection methods for elephant ivory in online markets.

Publisher

Cambridge University Press (CUP)

Subject

Nature and Landscape Conservation,Ecology, Evolution, Behavior and Systematics

Reference45 articles.

1. A framework for investigating illegal wildlife trade on social media with machine learning

2. Monitoring internet trade to inform species conservation actions

3. Wingard, J. & Pascual, M. (2018) Catch Me if You Can: Legal Challenges to Illicit Wildlife Trafficking over the Internet. The Global Initiative Against Transnational Organized Crime, Geneva, Switzerland. globalinitiative.net/analysis/legal-challenges-to-preventing-iwt-online [accessed June 2023].

4. R Core Team (2021) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. R-project.org [accessed June 2023].

5. Code word usage in the online ivory trade across four European Union member states

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