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Dynamics Prediction Simulation Research of Blockchain Resource Collaborative Allocation System: Taking Guangdong-Hong Kong-Macao Greater Bay Area as an example
Wang Xiaoqing,Chen Dong
(Nanjing University of Finance & Economics, Nanjing ,210003, China) (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China) (Nanjing University of Finance & Economics Hongshan College, Nanjing ,210003, China) (Big Data Development, State Information Center Beijing, 100045, China)
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[Objective] Analyze the interaction mechanism between key resource allocations in each block chain, and strengthen the construction of regional economic block chain and the coordinated development of the economy.

[Methods] Based on the analysis of resource allocation elements in the "blockchain" and system dynamics research theories and methods, through theoretical research and analysis of the causal relationship between important resource elements in the blockchain, combined with Vensim software system simulation, analysis of the industry in the blockchain The operation rules and relevance and sensitivity of the chain, the innovation chain, the talent chain, and the capital chain.

[Results] (1) According to sensitivity analysis, industry chain = capital chain> talent chain> innovation chain; (2) In terms of industry chain, the year of 2030 is a key node; (3) In terms of capital chain, the years from 2021 to 2025 is the key Time period; (4) In the talent chain, the years form 2025 to 2035 is the key time period; (5) In the innovation chain, the whole time is the key node.

[Limitations] In this paper, the selection of the influencing factors of the "five chains" is relatively rough, and the research on its mechanism is not thorough. At present, it only starts from some intuitive influencing factors, and establishes a system dynamic model through data collection to achieve a limited degree of predictive analysis.

[Conclusions] The method used provides methodological guidance for the prediction of resource collaborative allocation results.

Key words Guangdong-Hong Kong-Macao Greater Bay Area      collaborative resource allocation      system dynamics      Vensim simulation      correlation      sensitivity      
Published: 07 January 2022
ZTFLH:  TP393  

Cite this article:

Wang Xiaoqing, Chen Dong. Dynamics Prediction Simulation Research of Blockchain Resource Collaborative Allocation System: Taking Guangdong-Hong Kong-Macao Greater Bay Area as an example . Data Analysis and Knowledge Discovery, 0, (): 1-.

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