scholarly journals Symmetric Reciprocal Symbiosis Mode of China’s Digital Economy and Real Economy Based on the Logistic Model

Symmetry ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1136
Author(s):  
Guoteng Xu ◽  
Tingjie Lu ◽  
Yiman Liu

The convergence of the digital economy and real economy is an irreversible trend. This article uses the adjusted Logistic coevolution Model as the main tool to study the interaction factors in the convergence concentrating on conducting the empirical research by using four dimensions data from 2005 to 2019 in China to calculate the intrinsic growth rate, the maximum environmental capacity, the coevolution factors and other key indicators. The study could further simulate and predict the coevolution of the digital economy and real economy under various modes, in attempt to explore an objective reference and theoretical basis for the convergence in China, which could help to fill the research gap to some extent.

2021 ◽  
Vol 13 (23) ◽  
pp. 13236
Author(s):  
Rui Meng ◽  
Lirong Zhang ◽  
Hongkuan Zang ◽  
Shichao Jin

Low-carbon energy technology is the most fundamental way to control carbon emissions. The Sanjiangyuan region in Qinghai Province must put environmental conservation in first place during development, because of its important function of national ecological protection. The comprehensive benefits of photovoltaic technology in this area need to be evaluated. In this paper, a new multicriteria decision model (MCDM) is established, with the four dimensions of “environment-society-economy-population”, and 16 specific indicators are developed by combining the coupling coordination degree (CCD) and the decision-making trial and evaluation laboratory (DEMATEL) method. MCDM can contribute to screening out key indicators that should be of high concern. The evaluation results show that the four dimensions of “environment-society-economy-population” in the Sanjiangyuan region are highly correlated, and the PPAT is creating a coordinated development; the elements of population and environment play a decisive role in the comprehensive benefits based on five key indicators and three indicative indicators. The paper provides suggestions for the local government to further implement the PV poverty alleviation industry, under the condition that the natural environmental capacity of the region and the natural ecosystem are fully respected and undisturbed.


2021 ◽  
pp. 1-31
Author(s):  
Guoteng Xu ◽  
Tingjie Lu ◽  
Xia Chen ◽  
Yiman Liu

The paper constructs a research model mainly based on the Deng’s correlation analysis model on the convergence level measurement, the GM (1,1) coordinated development prediction model and PLS-Structural Equation Model (PLS-SEM) analysis model on the influencing factors. The data about China’s digital economy and real economy from 2005 to 2019 (totaled 2,250) is adopted to conduct an empirical analysis of the convergence level from 2005 to 2019 and predict the development trend from 2020 to 2029. The paper could further analyze the influencing factors of convergence, in an attempt to put forward relevant development suggestions. We hope the study could provide an objective reference and theoretical basis for improving the convergence level in China in some extent.


2020 ◽  
Vol 120 (7) ◽  
pp. 1287-1307
Author(s):  
Yuan Cao ◽  
Desheng Wu ◽  
Lei Li

PurposeNon-financial corporate debt is one of the important sources of systematic risk in the real economy. Assessing a measure of systematic risk in corporation debt is currently a key challenge. In this regard, we propose a two-tier risk contagion networks model.Design/methodology/approachAssessing a measure of systematic risk in corporation debt is currently a key challenge. In this regard, we propose a two-tier risk contagion networks model based on four dimensions: concept definition, data structure, risk contagion network construction, and risk measurement indicators construction. We take the Jiangsu bond issuer guarantee network as a sample area.FindingsTaking the Jiangsu bond issuer guarantee network as a sample area, we find that there is a strong correlation between the debts of non-financial corporation in China, and it is easy to become a potential regional systematic risk source. In addition, our empirical research also reveals that external risk exposure and node degree of network are two key indicators when identifying key risk-contagion enterprises.Originality/valueThe main contributions of this study are two-fold. First, this article proposes a two-tier risk contagion networks model to measure systematic risk in non-financial corporation. Second, this article describes the structure of the corporate risk contagion network.


Entropy ◽  
2021 ◽  
Vol 23 (3) ◽  
pp. 349
Author(s):  
Yuan Ma ◽  
Jingzhi Men ◽  
Mingyu Li ◽  
Xiaoyan Li

Rapid industrial development has caused a series of environmental problems, which is not conducive to sustainable development of society as a whole. It is necessary to build a sustainable development evaluation system. Most of the existing literature has evaluated corporate sustainable performance from the economy, environment and society on the basis of triple bottom lines. Considering the research gap and the practice need, an evaluation system is established from four dimensions, referred to as economy, society, environment and responsibility management, and 29 indicators are designed to measure these four dimensions. Twenty seven listed Chinese mining corporations are selected as research samples, and the entropy-weight-based Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is applied to calculate indicators’ weights. Results show that the four dimensions of sustainable performance weights from high to low are society, environment, economy, and management process.


E-Management ◽  
2020 ◽  
Vol 3 (1) ◽  
pp. 68-74
Author(s):  
Ya. V. Miller

In the last decade unprecedented technological changes have taken place, resulting in the emergence of a fundamentally new economic model. Based on the widespread spread of smartphones, the world has become more “connected”. The digitalization of demand and supply contributed to the creation of entirely new digital markets managed by platform enterprises based on an open business model, that enabled external consumers and producers to connect and interact with each other. A more interconnected world generates vast amounts of data, allowing platform companies to invest in machine learning and artificial intelligence and ultimately improve their efficiency. Finally, a steady digitalization of business processes, markets and global value chains is observed. In these circumstances, approaches to value addition are fundamentally changing in the context of new dimensions of the digital economy, the analysis of which was the purpose of our study. It has been identified, that in the absence of a standardized international methodology for measuring the digital economy, the latter is so far possible on disparate development-left and national statistics. Initiatives taken at the international level to overcome national differential approaches are still insufficient, as there is a lack of statistics and variables related to digital data. It has been revealed, that the lack of quality statistics on key indicators of the digital economy makes it difficult to assess the value added in the world economy scale and international comparisons. Much of the challenges of measuring value added in the digital economy, as shown in the article, are related to the principle of “scale without mass,” the intangible nature of capital, the intense growth of large-scale cross-border data flows, and the emergence of new sources of value creation.


2021 ◽  

This publication presents the latest key statistics on development issues for the economies of Asia and the Pacific. It sets out the region’s current status in relation to the Sustainable Development Goals, and provides economic, financial, social, and environmental indicators for the 49 regional members of the Asian Development Bank. It covers global value chains and also highlights initiatives of national statistics offices to provide timely data for planning and policymaking. A special supplement, Capturing the Digital Economy, sets out a framework for measuring the importance of the digital economy in national and global production processes.


Author(s):  
Immo H. Wernicke

The financial crisis of 2008 reveals a significant distortion of the information system and a systemic crisis of the internationally agreed upon National Accounts Approach in Germany. Reports on economic growth and on political key indicators like Gross Domestic Product (GDP) failed, when in 2008 the bankruptcy of the finance system and in 2011 the end of the EURO were to be feared. Comments on the poor statistical results were expressed by the German chancellor Angela Merkel first in 2008. The investigation of the political relevance and reliability of official results reveal distortions and failures that are due to National Accounts and its “toxically infected” database. Positivists like Popper, Carnap, and Friedman criticized for long the tautological bookkeeping approach. Schumpeter puts aggregations to planned economies. The “monetary curtain” of Mises, however, hides the “real economy” and the “bubbles” created by credit financing. Adam Smith might oppose the macro-economic theory of Paul Samuelson and John Meynard Keynes, as they do not differentiate between market production and state and bank services. GDP is a false political reference for monitoring and controlling economic stability. The enterprises, their balances, cash flow, liquidity, and equity are neglected. National assets, like natural resources and property, infrastructure, and logistics and geographical issues are inadequately covered by the present system. Data are poor on the impact of public debt and public ownership on the markets. Data bases are “toxically infected” due to “false response,” “shadow economy,” and “off-shore-hidden-money.” The framework of National Accounts needs revision to improve political relevance and reliability. Investigation is needed to estimate the bias of the database. Audited stocktakings and re-evaluations of accounts and balances are preconditions.


Author(s):  
Vikniswari Vija Kumaran ◽  
Shelena Soosay Nathan ◽  
Azham Hussain ◽  
Nor Laily Hashim

<p>This study is aimed to explore the dimensions for appropriate deaf people usability evaluation model for M-banking application in order to enhancetheir satisfaction. Through the systematic literature review (SLR) conducted, four dimensions (efficiency, effectiveness, satisfaction and accessibility) have been identified to be appropriate to suit the need of m-banking application usability evaluation especially for the deaf people. Furthermore, innovation and technologies through digital economy are practical and aptly accessible to allows persons who are deaf to fully participate in society, education, and business while also providing prospects for personal and professional advancement. Moreover, this study will be able to provide recommendation to the upper management of Malaysia Banks to concern on mobile services in order to enhance the deaf customers’ satisfaction. Financial and economy implications together with future research suggestions are also discussed in this study.</p>


2021 ◽  
Vol 6 (1) ◽  
pp. 83-91
Author(s):  
Nataliia Kholiavko ◽  
Antonina Djakona

The purpose of the current study is to analyze the impact of higher education and universities on the dynamics of the digital economy. The authors hypothesized to distinguish three components (educational, research, innovation) in the digital economy development. Within this article, the results of using index and cluster analysis methods to determine the impact of the educational component on the processes of digital economy development in Ukraine at the macroeconomic and meso-economic levels are presented. The special attention is put on the educational component because the higher educational institutions concentrate intellectual capital of the country, as well as prepare future specialists for the needs of digital economy. Moreover the universities’ scientists make an impact on digital economy development by conducting research and transferring their results technological innovations, information and communicational technologies, etc.) into the real economy. During the research, main problems of digital economy development, determined by the poor quality of educational services, insufficient commercialization of university research results in the real economy, are identified. The authors conclude that solving the identified problems requires synchronization of interests and establishing a long-term partnership between universities, business, the state and the public. Importance of optimizing the state regulatory influence on economic entities in the context of digitalization of the national economy is emphasized. In particular, it is proposed to group the set of measures of state regulation into three vectors, namely: neutral-encouraging (support of positive dynamics of intensive development), incentive-providing (resource and information support of development processes) and initiative-mentoring (motivation and coordination of development processes).


2021 ◽  
Vol 274 ◽  
pp. 10003
Author(s):  
Olga Maksimchuk ◽  
Elena Maznitsa ◽  
Larisa Chizho

The conditions of the digital economy dictate new challenges in order to correct structural imbalances; answers to these challenges are possible in the format of innovations. Since the beginning of the pandemic, it has become even more obvious that enterprises that have actively introduced innovations, in particular digital technologies and products, have become successful players in all markets. And tax stimulation has always been the most effective tool for innovation in economic activity.The purpose of this study is to substantiate the role of tax potential in stimulating the effectiveness of innovation in the digital economy. The object of research is the tax potential of the territory. The subject of the research is tax stimulation for the efficiency of innovation in the digital economy. The article presents the advantages and disadvantages of the existing tax system for stimulating innovation in Russia, the tax benefits as the main tool for stimulating innovation in the Russian Federation, the proposals for improving legislation on taxes and fees.


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