Cognitive Production Factors in the Digital Economy

Author(s):  
Vladlena V. Preobrazhenskaya ◽  
Evgeniya N. Gorlacheva
2022 ◽  
pp. 132-157
Author(s):  
Poshan Yu ◽  
Ruixin Gong ◽  
Michael Sampat

Compared with the traditional industrial economy, the Chinese digital economy uses brand-new production factors and production organization methods to bring changes to human society and promote the transformation of the economy. This chapter aims to explore the practical problems of adopting blockchain technology in China's digital economy and study how different cities (managed by various local governments) enhance their unique financial technology ecosystem's economic performance and promote RegTech policy in order to improve the digital economy under the central government's institutional setting. This chapter in turn analyzes the recent cases of blockchain in China's financial industry, compares the application and development of the latest financial technology related policies in major cities, and demonstrates how these regulations can promote the development of blockchain technology in the transformation of China's digital economy.


Author(s):  
І. ARTEMIEVA

The article gives accounts of change taking place in the economy under the impact of digital transformations. The article’s objective is to highlight opportunities and threats in the operation of economic entities at various levels, caused by the development of digital economy, with outlining potential ways of effective management of this change. It is argued that digitalization is capable to radically transform the economy. Core characteristics of the digital economy are analyzed, and the most significant economic effects from digitalization are highlighted: the increasing labor productivity and employment, the increasing effectiveness of markets, the increasing quality of existing goods and services and the growing output of newly created ones. The essential principles to be met by government offices in order to maximize domestic benefits from the digital revolution are determined. Digitalization effects are analyzed at industry level, with outlining the categories of industries more and less exposed to digital transformations. At company level, opportunities and threats for individual companies, essential problems related with their adaptation to new conditions, and main features of leader companies are determined. Changes in the activities of individuals, triggered by digitalization, are described. It is concluded that while the digital economy decreases the significance of traditional production factors, qualities like flexibility, adaptability, creativity, innovativeness, orientation on knowledge and learning lifelong become crucially important.   


2018 ◽  
Vol 7 (4.38) ◽  
pp. 456
Author(s):  
Vladimir Dmitriyevich Sekerin ◽  
Mikhail Nikolaevich Dudin ◽  
Evgeniy Veniaminovich Skubriy ◽  
Anna Evgenyevna Gorokhova ◽  
Grigori Vasilevich Komlatsky

The article presents an economic and mathematical model of enterprises’ demand for labor power in the form of a complex function of demand for the products of the enterprise in combination with the specific characteristics of the production process. In the presented economic and mathematical model, the demand for labor power is considered to be dependent on both the labor price and the prices of other production factors.  


2006 ◽  
pp. 28-41 ◽  
Author(s):  
I. Bashmakov

This article deals with the determination of future oil prices. The approach used is based on the evaluation of purchasing power limits and allows to put the limits to monopolistic price setting. Several important findings are formulated: going beyond the upper thresholds of purchasing power stipulates negative relationship between energy costs and GDP growth rates, and this brings the dynamics to energy demand to price elasticity. This approach is also based on what the author calls the economics of constants and variables, i.e. on the existence of very stable macroeconomic proportions, which may be observed throughout the whole period of statistical observations (over 200 years). It provides grounds for two conclusions. First, the upper limit of energy costs to the gross output ratio is determined by the least acceptable profitability. Second, the theoretical postulate on substantial production factors substitution used in the production functions theory may be incorrect. In reality, the change of the economy technological basis leads to the substitution of low quality production factor by the same factor with a higher quality. Application of this approach brings the basis for predicting oil prices for 2006-2008.


2019 ◽  
pp. 59-73 ◽  
Author(s):  
Nikolai M. Svetlov ◽  
Renata G. Yanbykh ◽  
Dariya A. Loginova

In this paper, we assess the effects of agricultural state support of corporate farms on their revenues from agricultural production sales in 14 Russian regions that differ in technology, environment and institutional conditions. In addition to the direct effect of the state support, the indirect effects via labor and capital are revealed. For this purpose, we identify production functions and statistical models of production factors for each of these regions separately. We find out diverse effects of the state support on revenues among the regions. Positive effects prevail. Negative effects are mainly caused by labor reductions that follow subsidy inflows. Another cause of negative effects is the soft budget constraints phenomenon.


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