This study aims to assess the effectiveness of the International Coordinating Body for Combating Wildlife Crime (ICCWC) in the field of combating illegal wildlife trade. The selection of ICCWC was successfully validated in terms of rankings and ratios by using the Analytical Hierarchy Process (AHP) to determine the weights of the indicators and the Weighted Rank Sum Ratio (WRSR) as a score for each organisation. Next, a predictive model for project implementation was developed using multiple linear stepwise regression methodology, which predicted a significant reduction in illegal wildlife trade over the next five years. In addition, the combined benefit value of the project was calculated to be 1 by Data Envelopment Analysis (DEA), indicating that our project has the best relative effectiveness. Finally, ICCWC's need for additional resources was determined through a linear programming approach, and a predictive model of measurable impacts was developed. The results of the study indicate that our programme will significantly reduce the volume of illegal wildlife trade and contribute to the growth rate of per capita disposable income. In summary, this study provides strong support and guidance for the future development of ICCWC.

Qiting Ou. Study on the Status of Illegal Trade in Wild Fauna and Flora Based on Multiple Linear Stepwise Regression and DEA. International Journal of Frontiers in Sociology (2024), Vol. 6, Issue 6: 119-125. https://doi.org/10.25236/IJFS.2024.060619.

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