Author(s)

Wenbo Xiong, Wenyong Fu, Pengcheng Zhu, Lingbo Kong

Corresponding Author

Wenbo Xiong

Abstract

Exploring the influencing factors of illegal wildlife trade and revealing its characteristics is of great significance for reducing illegal wildlife trade and protecting global biodiversity. In this study, grey prediction model, regression model and other methods were used to analyze the target customers of the project and determine the factors affecting the illegal wildlife trade. At the same time, the prediction model of future project development is established, and the evaluation index of project development is put forward accordingly.

Keywords

Grey prediction models RSR Logistic regression Wildlife conservation