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Illegal wildlife trade poses a huge threat to global biodiversity and ecological balance, and this thesis finds it difficult to regulate and constrain it. Based on the literature analysis this thesis believes that national governments are in an important position to regulate illegal wildlife trade, so this thesis collectes 10 indicators such as the total number of national nature reserves, and the country’s financial ratings to measure whether countries are suitable to our project. The thesis determined the weights of the indicators based on the criteria importance through intercriteria correlation (CRITIC) method and calculated that the UK was the best client for the program with a score of 21. 822.Then, the thesis defines the index WIT to quantify the illegal wildlife trade in the UK. The thesis collected the import and trade statistics of ivory and humpback whales, etc in the UK as indicators, determined the weights of the indicators using entropy weighting and coefficient of variation method (EWM-CVM) and calculated the value of WIT using the method of TOPSIS. By the way, the thsis collectes 18 indicators in sustainable development and use the same method to calculate the index SHD. After that, the thesis calculates the Spearman’s correlation coefficient between WIT and SHD to be -0.92, which indicates that the illegal wildlife trade seriously affects the British society.
Zhao et al. (Mon,) studied this question.