Author(s)

Kai Zhao ¹, Hantao Zhang ¹

Affiliation(s)

¹ School of Economics and Modern Finance, Gannan University of Science and Technology, Ganzhou, China

Corresponding Author

Hantao Zhang

ABSTRACT

The ever-expanding global demand for wildlife consumption and related illegal trade is one of the major threats to biodiversity conservation. The recent outbreak of COVID-19 has drawn wide attention to the public health and safety of wildlife trade and consumption. In this paper, the correlation analysis of wildlife trade and its impact is conducted through time series prediction model. First, this paper adopted the method of aggregate analysis, classified the data in the attachment, and made bar contrast charts and pie charts. By analyzing and comparing, we found that this Primate was the most traded species when divided by groups in Macaca fascicularis and by species. This paper choice the time sequence model to analyze the dates. This study analyzes the annual data from several aspects, such as the species of main trading animals, main trading purposes and trading volume. This study provides a comparative analysis of trends and a visual analysis of this primate. In the end, we find that Primates occupies a very large proportion in the trade every year, and wild animals are used for commerce almost every year.

KEYWORDS

Wildlife Trade, Aggregate Analysis, Time Series, Illegal Trade, Biodiversity Conservation

CITE THIS PAPER

Kai Zhao, Hantao Zhang, The Analysis of Wildlife Trade Based on Aggregate Analysis Model and Time Series Prediction. Financial Engineering and Risk Management (2024) Vol. 7: 44-51. DOI: http://dx.doi.org/10.23977/ferm.2024.070206.

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