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Research on Monitoring Illegal Wildlife Trade Based on Data-Driven Models

Year: 2024

Type: article

Abstract: This paper aims to evaluate client selection and project alignment in wildlife conservation projects using the Analytic Hierarchy Process (AHP) and TOPSIS models. The World Wide Fund for Nature (WWF), China Wildlife Conservation Association (CWCA), and the National Forestry and Grassland Administration are selected as candidate clients. Quantitative analysis uses three indicators: resources, power, and interest. The results indicate that WWF is the most suitable client regarding comprehensive resources, power, and interest. Additionally, the paper analyzes the cost-benefit and organizational development contributions of WWF implementing the "Electronic ID" project, highlighting its potential to enhance WWF's international influence and reputation. The study demonstrates that leveraging technology to track and protect wildlife can curb illegal wildlife trade and promote biodiversity conservation.

Source: Highlights in Science Engineering and Technology

DOI: 10.54097/cmchp733

Authors: Huihui Yuan, Yueyao Zhang

Language: English

Topic: Multi-Criteria Decision Making

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDGs: Life on land, Peace, justice, and strong institutions, Partnerships for the goals

Open Access status: diamond

OpenAlex ID: W4403953889

FWCI:

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