Study On the Current Status of Illegal Wildlife Trade Based on ARIMA And Logistic Regression Modelling
DOI:
https://doi.org/10.54097/egzmgm30Keywords:
Hierarchical analysis; ARIMA; Logistic regression.Abstract
The purpose of this paper is to explore effective programs to address illegal wildlife trade. With increasing environmental problems, illegal wildlife trade threatens biodiversity and social stability. The government is identified as the client through hierarchical analysis and a comprehensive project program is proposed for a period of five years. The necessity of the project is analyzed through international cooperation, government capacity, human health and biodiversity, and the possible impacts of not implementing the project are demonstrated using ARIMA time series model. Further modeling of expected goals based on logistic regression methods to assess the success of the project. Promote the implementation of the project through cooperation and contribute to solving the problem of illegal wildlife trade. This study provides useful reference and practical guidance for taking effective measures to deal with IWT.
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