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| Simulating Dynamics Prediction with Collaborative Allocation System for Blockchain Resources: Case Study of Guangdong-HongKong-Macao Greater Bay Area |
Wang Xiaoqing1,2,3( ),Chen Dong4 |
1School of Public Administration, Nanjing University of Finance & Economics, Nanjing 210023, China
2College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
3Nanjing University of Finance & Economics Hongshan College, Nanjing 210003, China
4Big Data Development, State Information Center, Beijing 100045, China |
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Abstract [Objective] This paper analyzes the interaction mechanism among key resource allocations in each blockchain, aiming to construct better regional economic blockchains and promote the coordinated economic development. [Methods] Based on the analysis of resource allocation elements in the blockchain and system dynamics theories and methods, we used the Vensim system to simulate and analyze the related blockchain industries. [Results] (Ⅰ) Sensitivity analysis showed: industry chain = capital chain> talent chain> innovation chain; (Ⅱ) In terms of industry chain, the year of 2030 is a key node; (Ⅲ) For capital chain, the years from 2021 to 2025 is the key time period; (Ⅳ) In the talent chain, the years from 2025 to 2035 is the key time period; (Ⅴ) For innovation chain, the whole time is the key node. [Limitations] More research is needed to improve the selection of influencing factors for the “five chains” and examine their internal mechanism thoroughly. [Conclusions] The proposed method provides some guidance for predicting results of resource collaborative allocation.
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Received: 31 August 2021
Published: 07 January 2022
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| Fund:National Social Science Fund of China(18CSH018) |
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Corresponding Authors:
Wang Xiaoqing,ORCID：0000-0001-9383-0852
E-mail: wxq@nufe.edu.cn
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