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

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.

Netizens’ Perspective towards Electronic Money and Its Essence in the Virtual Economy: An Empirical Analysis with Special Reference to Delhi-NCR, India

This research attempts to evaluate the ongoing position of the modalities exercised in India concerning digital payments. Largely appraised as a success story in the making, this research examines several instrumental factors in India’s digital payment systems. It further extends to identifying the impact of demographic attributes and constructive variables, such as service quality, reliability, satisfaction, and security on digital payment system, Delhi NCR, India. A Google form questionnaire was adopted to collect data through online mode. The researcher collected the primary data from 165 respondents. Purposive sampling method was exercised, along with CFA technique and parameter test used through SPSS (version 25), reliability issue, validity issue, and model fitness achieve through SPSS-AMOS (version 24). The significant peculiarities and analysis are presented further in this research contributing to a precise depiction of findings and then, based on it, the conclusion.

Innovative Growth of the Virtual Economy: A Regulatory Paradigm Shift

Aim. The presented study aims to harmonize the understanding of the innovative growth of the virtual economy within the framework of a regulatory approach from the perspective of the evolution of regulatory mechanisms.Tasks. The authors identify the major conditions and elements of the virtual economy; clarify the definition of the virtual economy; determine the essential characteristics of the innovative growth of the virtual economy; develop a multidimensional matrix of tools for measuring the innovative growth of the virtual economy within the framework of a regulatory approach.Methods. This study uses the methods of scientific analysis and synthesis as well as comparative and systems approach to examine the reflection of innovative growth in the evolution of regulatory mechanisms that determine economic behavior.Results. The acceleration of economic virtualization during the 2020–2021 pandemic has exacerbated the need for a scientific analysis of the ways and directions of innovative economic growth with allowance for intangible, primarily virtual factors, which include traditional symbolic components implemented on the basis of digital tools. The conducted analysis makes it possible to identify four main dimensions that determine directions for the innovative growth of the virtual economy: adaptation to new categories of entities to the extent of personification based on big data; development of new behavioral models; development of institutions and ecosystems; prioritization of a meaningful requirement for harmony and aesthetics on the part of users.Conclusions. A study of the multidimensional model of innovative growth of the virtual economy will make it possible to improve both the decision-making of individual and group entities, and the regulatory mechanisms used by the government.

The Impact of Financial Hoarding on Economic Growth in China

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.

The Development of Social Influence and Aesthetic on Purchase Intention

Due to the development of internet nowadays, people utilize it with games and it results in the development of gaming industries that leads to strong existence of virtual economy. However, the development of the gaming industry in Indonesia was indeed a little late compared to other countries. This study generates a new perspective that describes purchase intention on virtual goods in Massively Multiplayer Online Social Games (MMOSG), Audition, in Indonesia. This research is done through a survey by using questionnaire which acquired 200 Audition players as respondents. The data processing used is structural equation modeling. Results of the study show factors that significantly influence purchase intention on virtual goods are social influence and aesthetic in which purchase intention affects actual purchase behavior, while price utility and satisfaction do not influence purchase intention.

Cryptocurrencies: They´re really that lucrative?

Research background: Cryptocurrency is a digital currency that is intended for online trading. It uses and implements the principles of cryptography to create a distributed, decentralized and secure digital currency. Virtual money is a new and promising branch of the virtual economy that brings many advantages and disadvantages in a global sense. Many people have become involved in cryptocurrency hype because high investments in this digital money have been seized during the pandemic. The rise in revenues from this digital money has gripped the world globally. Purpose of the article: The basic purpose and chosen goal is to analyze the use of cryptomen trading during the global Covid-19 pandemic, as well as investing in these alternative sources of investment, which are gaining more attention every day precisely because of their freedom and detachment. Methods: The article will analyze data that will be compared based on the years before the Covid-19 pandemic and during the Covid-19 pandemic. Based on these data, the investment activity of people, companies, corporations is compared. Findings & Value added: Based on the results in the article, it was found that during the Covid-19 pandemic, the interest in investing in cryptocurrencies increased compared to the interest in investing in cryptocurrencies before the pandemic. The overall result is that people are moving to a new way of holding money, as cryptocurrencies are a new way to the future, as banks are unable to provide such returns from client deposits as cryptocurrencies, but they are associated with much greater risk.

Optimal Combination of Currency Assets and Algorithm Simulation under Exchange Rate Risk

The excess money supply did not lead to a rapid rise in the price index, which in turn triggered inflation. In this case, the redetermination of the demand for money is particularly important. At the same time, with the continuous expansion of the capital market and the rapid development of the virtual economy, the virtual economy is gradually deviating from the real economy. When selecting assets, microentities often incorporate virtual economic assets into investment considerations. Therefore, it is necessary to establish a money demand model that considers the impact of virtual economic assets. This paper uses the asset selection of microentities as the microfoundation to establish a money demand model to explain its economic significance. And based on the money demand model established, a dynamic equilibrium model of the money market was established, and the stability of the dynamic equilibrium point of the money market was verified through mathematical deduction. Based on the dynamic equilibrium model of the money market, the impact of money supply was analyzed. In order to verify the correctness of the aforementioned theory, this paper conducts an empirical analysis. Through cointegration analysis and the vector error correction model (VECM model), the correctness and applicability of the established money demand model are verified, and money demand, total social wealth, spreads between expected stock returns and interest rates, and real estate expectations are found. There is a long-term equilibrium relationship between the rate of return and the interest rate. The total amount of social wealth, the expected rate of return on stocks, and the interest rate spread will have an impact on the demand for money in the short term.