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Evaluation summary and metrics: “Banning wildlife trade can boost demand for unregulated threatened species”

Evaluation summary and metrics: “Banning wildlife trade can boost demand for unregulated threatened species”

Published onMay 24, 2023
Evaluation summary and metrics: “Banning wildlife trade can boost demand for unregulated threatened species”
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key-enterThis Pub is a Review of
Banning wildlife trade can boost demand for unregulated threatened species
Banning wildlife trade can boost demand for unregulated threatened species
Description

Regulation of natural resource use might have unintended spillover impacts beyond the policy targets. Overexploitation is a major cause of species extinction and banning wildlife trade is a common and immediate measure to tackle it. However, few rigorous studies have investigated consequences of wildlife trade bans, and those few studies have focused only on the policy target species. This means governments and researchers may have overlooked side effects of trade bans on unregulated threatened species. This study explores whether trade ban regulations on three threatened species (i.e., giant water bugs Kirkaldyia deyrolli, Tokyo salamanders Hynobius tokyoensis and golden venus chub Hemigrammocypris neglectus) have spillover impacts on the demand for non-banned species considered as substitutes. We draw on a 10-year online auction dataset and the recently developed causal inference approach—synthetic difference-in-differences—to analyze the trade ban regulation implemented in February 2020 in Japan, one of the largest wildlife trade markets. The results show that bans on the giant water bugs and Tokyo salamanders led to an increase in the trade of non-banned species, whereas there was no such evidence concerning the golden venus chub. The findings suggest that policy evaluations ignoring spillover effects might overstate the benefits of trade bans. Our findings raise concerns about the unintended consequences caused by trade bans and restate the importance of further efforts around consumer research, monitoring and enforcement beyond the species targeted by policies, while minimizing the costs by applying modern technologies and enhancing international cooperation.

Preamble

Paper: “Banning wildlife trade can boost demand for unregulated threatened species” (2022).

Authors: Takahiro Kubo, Taro Mieno, Shinya Uryu, Saeko Terada, Diogo Veríssimo

We organized two evaluations of this paper. To read these evaluations, please click the links at the bottom.

Evaluation manager’s notes

Why we chose this paper

This paper was submitted by the authors directly to The Unjournal. We selected it from the list of submitted papers due to its topicality, use of rigorous counterfactual methods for impact evaluation, and the policy implications of the findings - that conservation policies, such as trade bans, can lead to negative spillover effects. The implication is clearly highlighted by the authors: conservation policies should be designed and implemented in ways that minimize such spillovers.

How we chose the evaluators

For this paper, we organized two evaluations. The evaluators were chosen based on their research and policy expertise relating to wildlife trade; we also selected evaluators who could assess the technical aspects of the research, and provide in-depth feedback that might help improve the design and/or clarity of the analysis.

Evaluators were asked to follow the general guidelines available here. In addition to written evaluations (similar to journal peer review), we ask evaluators to provide quantitative metrics on several aspects of each article. These are put together below. For this paper, we did not give specific suggestions on ‘which aspects to evaluate’.

Summary of evaluations

The evaluations are very positive overall. However, both evaluators suggested that more detail about the SDID method would help the reader understand the process and interpret the results. In addition, the process [the authors used] to select spillover and control species would benefit from more clarity, and it would be good if the authors could clarify how they decided that spillover effects would not also affect the trade of control species.

Authors’ response to the evaluations

The authors have welcomed the evaluators’ comments and suggestions, and addressed each of these thoughtfully and rigorously. This has led to additions and changes made to the paper, although these are not currently available - however, the authors will update their article once the next iteration has been completed.

Metrics (all evaluators)

Ratings

Eval. 1 (of 2)

Jia Huan Liew

Eval. 2: Anonymous

Category

Rating (0-100)

Confidence:
High = 5,

Low = 0

Comments

Rating (0-100)

Confidence: *
High = 5,

Low = 0

Comments (footnotes)

Overall assessment

75

5

75

-

Advancing knowledge and practice

80

5

70

4

Methods: Justification, reasonableness, validity, robustness

50

-

I do not have any experience using SDID, and I am therefore uncertain of the validity of analyses performed

80

3

Logic & communication

70

5

70

4

Open, collaborative, replicable

50

5

70

4

Engaging with real-world, impact quantification; practice, realism, and relevance

90

5

90

5

Relevance to global priorities

65

3

80

3

  1. [*Evaluation Manager = “Editor’s” note (NAME): The Evaluator 2 indicated a ‘level of confidence’ on a scale of 0-5]

Predictions

Eval. 1:

Jia Huan Liew

Evaluator 2: Anonymous

Prediction metric

Rating (0-5) (low to high)

Confidence (0-5)
High = 5, Low = 0

Comments

Rating (0-5)

Confidence (0-5)
High = 5, Low = 0

What ‘quality journal’ do you expect this work will be published in?

2.5

5

“The taxonomic/geographical scope of the study may be a barrier to publishing in “higher quality” journals that receive more submissions.”

3

4

On a ‘scale of journals’, what ‘quality of journal’ should this be published in?

3

5

3

4

Comments
1
David Reinstein:

Authors response:

> We are grateful for the positive opinion from you and the reviewers. We have updated the description of the SDID method with reference to key literature. We have also replied to the comments concerning the species selection process and reported results of several sensitivity analyses to support our findings. Please see below the responses to the comments and relevant revisions.