scholarly journals Feasibility Analysis Model of Transformation from Real Economy to Virtual Economy Based on Association Rule Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Jing Gao ◽  
Yu Zhao ◽  
Longlong Li ◽  
Samart Deebhijarn

The transformation of the real economy to the virtual economy is one of the necessary ways for social and economic development. By analyzing the definition of real economy and virtual economy, the relationship between them, and the relationship between finance and virtual economy, a feasibility analysis model for the transition from real economy to virtual economy is designed based on association rule algorithm, and provide feasibility analysis for “from entity to virtual.” At the same time, based on the scale measurement theory of virtual economic cycle, this paper establishes the rule-constrained Apriori algorithm model. Then, the input-output structure decomposition method is used to analyze the feasibility of the transformation from the real economy to the virtual economy. Through the analysis, we know that the multiplier value in the real economy is higher than that in the virtual economy, which promotes the substantial growth of its own output. The total amount of virtual economy is growing rapidly, but economic transformation is incomplete. The expansion of the real economy has increased the total output value of virtual laser machines. Therefore, the feasibility of transforming from a real economy to a virtual economy has a good relationship.

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Mingxiang Zhou ◽  
Xiaoyan Zheng

The new generation of information technology (IT) promotes the integration of fintech with the real economy. Existing studies emphasize the relationship between fintech and the real economy over the development level of fintech-served real economy (FtRE). To fill up the gap, this paper explores the evaluation of FtRE based on fintech improvement (FtI). Firstly, an evaluation index system (EIS) was established for fintech service efficiency (FtSE), and FtSE was measured through data envelopment analysis (DEA). Then, fuzzy c-means (FCM) clustering was performed to discretize continuous indices. Drawing on matter-element theories, the authors created the classic domain and node domain of FtRE, as well as the evaluation objects of real economy, calculated the correlation between each factor affecting development level and evaluated development level, and computed the weight coefficient of each index. Finally, the influence of FtI-based FtRE development was empirically analyzed through experiments.


2019 ◽  
Vol 9 (2) ◽  
pp. 284-306
Author(s):  
Hongbin Huang ◽  
Ran Li ◽  
Ya Bai

Purpose The purpose of this paper is to study the influence of investor sentiment on the supply of trade credit, and further explores the difference of the effect of investor sentiment on the supply of trade credit in the environment of strong market competition and weak market competition. Design/methodology/approach The authors use panel estimation techniques to examine the impact of investor sentiment in the Chinese securities market on the supply of corporate trade credit. Findings This paper finds that investor sentiment has positive impact on trade credit through three channels of motivation, willingness and ability. At the same time, this paper finds that investor sentiment has stronger impact on enterprises in strong market competition than enterprises in weak market competition. Research limitations/implications This paper expands the research on the influence of virtual economy on the real economy, analyzes the difference of the influence of investor sentiment on the supply of trade credit under different market competition conditions. Practical implications The paper perfects the mechanism of trade credit decision-making at this stage, and provides more evidence for the virtual economy to act on the real economy. Social implications This paper provides a theoretical basis for the government functional departments to use the investor sentiment to play a positive role in trade credit to improve the market competition and guide the development of China’s capital market in the direction of rationalization and health. Originality/value In combination with market competition environment and industry characteristics, this paper investigates external irrational factors and studies how investor sentiment affects trade credit supply.


2006 ◽  
pp. 83-102 ◽  
Author(s):  
I. Levina

The article presents the results of the research of the decoupling of the financial sector from the real economy. The author examines key theoretical approaches to the analysis of the aforementioned problem emphasizing the main features of this phenomenon and considering the consequences of the decoupling from the point of view of the modern economic development.


Author(s):  
Lihong Zhen

The sports industry is considered the industry with the most vitality, participation, and penetration in the 21st century. From the perspective of practice on a global scale, the demand for the sports market has gradually developed from low-level simplification to high-level multi-polarity, and sports consumption has also shifted from single sports goods to sports services and entertainment sports. The sport industry has become modern society containing emerging industries with large business opportunities. This article mainly uses literature, expert interviews, data collation, logical analysis, and other methods to conduct a comparatively systematic study on the development of the new form of the “Internet+” sports industry. In the study, by comparing the commodity types, organizational forms, and management of the traditional sports industry in terms of management and other aspects, the connotation of the new format of the “Internet+” sports industry is introduced in detail, which is divided into four industries: network broadcasting, smart software and hardware, vertical e-commerce, and e-sports. The research in this article shows that, after accounting, the total scale (total output) of the national sports industry in 2019 was 2,948.3 billion yuan, with a year-on-year added value of 1,124.8 billion yuan. In terms of growth, total output increased by 10.9% over 2018 and 11.6% year-on-year. Among them, sports activities integrated with the Internet have reached 58%. Finally, it will help the transformation and upgrading of Internet+sports and improve its own development level. Returning to the real economy and serving the real economy have become a consensus for the future development of Internet finance.


2021 ◽  
Vol 13 (15) ◽  
pp. 8434
Author(s):  
Yizheng Fu ◽  
Zhifang Su ◽  
Qianqian Guo

In recent years, more and more funds circulate internally in the financial field, which is called “financial hoarding”. After calculations, the scale of China's financial hoarding was 242178 billion yuan in the first quarter of 2003 and jumped to 1801706 billion yuan in the fourth quarter of 2016, which increased by nearly 7.4 times in the past 14 years and accelerated after 2014. The phenomenon that large amounts of money deviate from the real economy to virtual economy is called “shift from real economy to virtual economy”. The large scale of financial hoarding will inevitably influence the economic growth in China. Does financial hoarding promote or inhibit the economy? Does the relationship change with the economic growth rate? To address this issue, this paper first provided theoretical analysis of the relationship between financial hoarding and economic growth. Then, it used the data of the first quarter of 2003 through the fourth quarter of 2016 in China for empirical analysis. The results revealed two facts. Firstly, the simultaneous equations model showed that financial hoarding and economic growth promote each other in the long run and financial hoarding can be conducive to economic growth. Secondly, the MS-VAR model showed that the relationship between financial hoarding and economic growth changed with the economic growth rate. In addition, financial hoarding had a positive effect on the economic growth under both medium and high economic growth regimes, but to a greater extent in high economic growth regimes.


Author(s):  
Zhengjuan Xie ◽  
Jiang Du ◽  
Yongchao Wu

AbstractFinancialization of non-financial corporations is an important factor affecting innovation activities. This paper calculates the optimal financialization of enterprises and the deviation of optimal financialization, divides amples into moderate and excessive financialization, then investigates the relationship between financialization and sustainable innovation in different research samples using the data of A-share manufacturing enterprises in China from 2012 to 2018. The results indicate that the deviation of optimal financialization is negatively related to the persistent innovation of enterprises. However, financialization had significantly different effects on persistent innovation in different research sample. More specifically, excessive financialization could crowd out the persistent innovation, but moderate financialization may promote the persistent innovation. This study provides a new perspective for understanding the relationship between financialization and innovation, and helps finance better serve the real economy.


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