A study of projects to reduce illegal wildlife trade based on least squares and structural equation modeling approaches

Abstract

Illegal wildlife trade is a rapidly growing global threat to our environment and biodiversity[1]. Despite the establishment of wildlife protection organizations in various countries to combat this issue, the results have not been significant, and illegal wildlife trade continues to be rampant[2][3]. Urgent action is needed to curb this illegal activity.This paper analyzed the problems identified in the article and proposed the 'Stop Illegal Wildlife Trade' program. This paper evaluated the program's effectiveness using two data-driven methods: least squares (OLS) and structural equation modeling (SEM). The program aims to reduce illegal wildlife trade.