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Your search keyword '"Cui, Junfu"' showing total 12 results
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12 results on '"Cui, Junfu"'

2. Coupled coordination analysis of green finance on economic growth based on big data

Author

Guo Su, Zhang Taile, and Cui Junfu

Subjects
mapreduce algorithm, rough set, information entropy, green finance, parallel computing, 35q91, Mathematics, QA1-939
Abstract

Exploring the coupled and coordinated relationship between green finance and economic growth is to achieve the high-quality dual development of green and economy. This paper studies the rough set and information entropy attribute approximate calculation based on MapReduce parallel computing framework under big data technology. The basic principles of rough set and information entropy are described, and the MapReduce algorithm is used to calculate information entropy, mutual information, and attribute kernel, which shows that MapReduce calculation is always on the key-value pairs. For the correlation analysis of green finance and economic growth, the coupled coordination model of green finance and economic growth is constructed using the MapReduce algorithm, and the coupled coordination analysis of green finance and economic growth is carried out for this model. From the comprehensive evaluation index, the comprehensive evaluation index of green finance and economic growth increased by 6308.44% and 2242.21%, respectively. The coupling degree of green finance and economic growth increased by 164.66% and 835.84% from the coupling degree and coordination degree, respectively. Thus, the coupling relationship between green finance and economic growth based on big data is relatively low, but the coordination degree is high, indicating that the two influence each other and interact.

Published
2024
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8. Research on the correlation between corporate financial performance and strategic risk based on panel data model

Author

Guo, Su, Cui, Junfu, and Zhang, Taile

Abstract

In recent years, the trend of economic globalisation and multilateral trade has expanded rapidly, and the risk issues related to enterprises have received widespread attention. For this problem of the panel data model, the research uses the entropy theory of ordinal space to quantify the strategic risk of the enterprise, and constructs a panel-PLS estimation model to analyse the financial correlation of the enterprise. The results show that in most industries, the difference between the entropy value of rising and falling in the ranking of enterprises is 0.008, which is in a relatively stable state. Corporate strategic risk is negatively correlated with ROE and total asset turnover, and positively correlated with non-current asset turnover and dividend payout ratio. The above results can be used to predict the risk situation of the enterprise strategy and arrange targeted management decisions, which can promote the long-term development of the enterprise.

Published
2024
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