Abstract
China’s Belt and Road Initiative (BRI) is a massive development plan in scale and scope. It aims at facilitating China’s connectivity with the rest of the world through trade, investment, and infrastructure projects. Therefore, understanding the human and social dynamics and socio-behavioral tendencies through Belt and Road development, and quantifying, and mapping the spatial-temporal distribution of environmental vulnerability caused by natural and human-made impacts are needed for understanding environmental protection and Road restoration issues. Understanding the trends in ecological, cultural and behavioral evolution and their driving factors is critical to revealing changes in ecosystem’s structure and function. However, less is known about the nonlinear relationship between greening trends and statistical instrumentation. Thus, we want to share HEU experience concerning new Business Statistics cause implementation. In the example of a practical case concerning Belt and Road initiative development, the authors show for students sampling distribution and sampling modeling processes, and understand their implementations. On the example of Belt and Road case, the students learn sampling to collect data and the theorems of sampling distribution.
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Notes
- 1.
The Belt and Road Big Data Service Platform on Ecological and Environ-mental Protection. www.greenbr.org.cn, last accessed 2022/11/13.
- 2.
Education Action Plan for the Belt and Road Initiative - Xinhua Silk Road (imsilkroad.com), last accessed 2022/11/13.
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Steblyanskaya, A., Wang, Z. (2023). Sustainable Development Issues of the Belt and Road Initiative in Educational Modeling Cases. In: Agarwal, N., Kleiner, G.B., Sakalauskas, L. (eds) Modeling and Simulation of Social-Behavioral Phenomena in Creative Societies. MSBC 2022. Communications in Computer and Information Science, vol 1717. Springer, Cham. https://doi.org/10.1007/978-3-031-33728-4_10
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