With the rapid economic and social development of China, many countries around the world have ushered in a boom in the construction of overseas Chinese studies institutions, which is worth analyzing from the perspective of geography. Based on 378 overseas Chinese studies institutions data, the organizational structure, spatio-temporal pattern and driving mechanisms of overseas Chinese studies institutions are explored. This study finds that: ① Overseas Chinese studies institutions mainly rely on the construction of universities, and are mostly set up as independent institutions or divided into larger research areas such as East Asia, Asia, and the Asia-Pacific region, presenting a trend of simultaneous research in humanities and social sciences. ② The number of overseas Chinese studies institutions shows a "toothbrush-shaped" growth, which can be divided into three stages: initial exploration, vigorous development, adjustment and optimization, and the purpose in each stage is different, focusing on historical China to contemporary China. ③ The global spatial pattern of overseas Chinese studies institutions is extremely unbalanced, showing the pattern of "pan-north, dual-core, and multi-point", mainly driven by the internationalization level of higher education and economic and trade factors. Seeking economic and trade cooperation or drawing on economic development experience has become the third main motivation for the establishment of overseas Chinese studies institutions in addition to political and academic purposes. Finally, the problems existing in this study and the future directions are summarized and prospected.

The illegal wildlife trade poses a severe threat to the survival of endangered species and is a critical area of research in ecologically-centered green criminology. Domestic studies on this issue, however, remain underdeveloped. Focusing on the Yunnan-Guangxi region, this study systematically analyzes the multidimensional characteristics, spatiotemporal patterns, and distribution network structures of illegal wildlife trade using public case data from China Judgements Online from 2013 to 2023. The study employs a combination of mathematical statistics, spatial analysis, and social network analysis methods. The results show that: ①the crimes primarily involved mammals, birds, and reptiles, with elephants, rhesus monkeys, and tortoises as typical species; the main perpetrators were predominantly males aged 41~50, with low educational levels, mainly engaged in agricultural work. ②The number of offenses initially increased, peaking in 2019, and declined sharply after 2020 due to COVID-19 containment measures. Monthly analysis reveals that January and July were high-incidence periods, with a peak occurring in spring. ③Spatially, criminal activities were concentrated in border regions and provincial capitals, forming a dual-core pattern with significant clustering. ④Distribution networks are mainly provincial, while cross-provincial and international routes rely on border nodes to establish smuggling corridors with Vietnam and Myanmar, ultimately converging on the southeastern coast (Guangdong and Fujian). Different forms of criminal organizations, including organized, general, and unorganized groups, exhibit notable differences in distribution network structure, node functions, and trafficking routes. The study recommends combating illegal wildlife trade through strengthening border enforcement, monitoring key nodes, big data-driven management, and community participation.