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October 13, 2025Journal of Education Humanities and Social SciencesOpen Access

Design of Illegal Wildlife Trade Prevention and Control System Based on AHP and Multiple Linear Regression Model--Based on the Practical Path of National Government

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Authors

ZZZhenxuan ZhangXSXiaojing SunWZWenjuan Zhang

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Overview

Integrating AHP and multiple linear regression predicts reduced illegal wildlife trade, highlighting government roles.

Key Points

  • The study predicts a significant decrease in illegal wildlife trade exports through targeted interventions.
  • Using AHP, the national government scores highest in resource allocation, critical for effective intervention.
  • Combined AHP and regression analysis indicates education funding and income as key factors in curbing illegal trade.
  • The multidimensional government strategy offers a framework for enhancing global wildlife trade governance.

Cite This Study

Zhang et al. (2025) studied this question.

synapsesocial.com/papers/68ed4e04d3b1bfa344c60140https://doi.org/10.54097/5evjf761
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Also Consider

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  1. 1Wildlife crime governance in Mexico: an institutional evaluation of capacity, detection, and legal response2025
  2. 2Community-Driven and Data-Informed Governance to Tackle Wildlife Trafficking in Madagascar2025
  3. 3Enhancing Wildlife Trade Monitoring in the European Union—No Need to Reinvent the Wheel2025
  4. 4Seeking Prevention of Continuous Biodiversity Degradation: An Economic Analysis of Law Approach2025
  5. 5From value recognition to effective implementation: the main problems and strengthening paths of law enforcement to combat IUU fishing2025