Socio-natural antientropic potential: the role of economy and innovations

Matsenko

Kalinichenko

et al. 2023

journal

The article develops the concept of key categories related to the phase transition to a new socio-economic formation: industrial revolutions Industries 3.0, 4.0, 5.0; the transition implementation mechanism; transformational processes; trialectic mechanisms of system formation. The key features of the economic system, which can be formed through a phase transition, are conditionally characterized. In particular, such an economy can be called a sustainable economy because it ensures the achievement of sustainable development goals. The essence of modern industrial revolutions (Industries 3.0, 4.0, 5.0) is revealed through which the specified phase transition is realized. In particular, Industries 5.0 is a phenomenon of human adaptation to a cybergized environment, during which the personal basis of a person develops, in particular, based on the synergistic integration of human cognitive abilities and artificial intelligence, as well as human biological nature and technical means. Based on a trialectic view of the system-forming factors of the beginning (material, informational and synergistic), the key groups of instruments for ensuring the specified phase transition were characterized, in particular, the group of instruments that provide the material prerequisites for the implementation of the phase transition can include: the introduction of alternative energy; large-scale energy accumulation; implementation of additive technologies (3D printing); formation of cyber-physical systems; implementation of the Internet of Things; miniaturization of economic assets. In the group of information prerequisites, the following instruments can be listed: mass computerization; sensory revolution; dematerialization of economic systems; the formation of the cloud as a global memory system and a global control centre; mass adoption of RFID tags. The group for ensuring synergistic prerequisites consists of globalization of Internet communications; creation of EnerNet (unified information and energy systems); creation of a global GPS; transition to network economic systems; formation of virtual enterprises.

Section: стаття надійшла до редакції 3022023unclassified

Instruments for Ensuring the Phase Transition of Economic Systems to Management Based on Industries 3.0, 4.0, 5.0

Matsenko

Kalinichenko

et al. 2023

journal

“…• Systemic (third-order effect) -includes changes in the behavior of economic entities and other non-technological factors due to the trend towards the introduction of digital technologies (Melnyk, 2021). A systemic impact of digital transformations is mostly considered to be promising, but its results have a significant time lag.…”

Section: Digital Public Services (E-government E-health)mentioning

confidence: 99%

Digital and economic transformations for sustainable development promotion: A case of OECD countries

Environmental Economics

Kubatko

Piven

et al. 2022

Self Cite

Digitalization, dematerialization of production and consumption, and structural shifts in the direction of service economy forming do promote to reduction of material use and sustainable development. The paper aims to investigate the role of digital, structural, economic, and social factors in sustainable development promotion in OECD countries. The paper uses the data on digital achievements, social and economic development of OECD member states from World Bank data sources for the period 2007–2018. The random-effects GLS regression model is used, and empirical regression models to estimate the influence of key factors related to digital transformation on GDP per capita and CO2 emissions per capita are constructed. The results of the regression analysis show that using the number of Internet users as an indicator for achievement in digitalization has a positive and statistically significant influence on GDP per capita due to lower transaction costs and higher share service economy. An increase in urbanization rates (as an indicator of capital concentrations and labor specialization) by one percent promotes a GDP per capita increase of 299 USD. Also, an increase in Gini coefficient by one percentage point correlates with decrease in GDP per capita on 196 USD and the reduction of CO2 per capita by 0.12 tones due to the structural shifts in aggregate demand. Still, improvements in digital transformations have no significant environmental effect in OECD members, while processes related to urbanization, income inequality, and share of industrial output are important drivers for CO2 per capita reduction. AcknowledgmentsThe paper contains the results of a study conducted within the framework of research projects: “Sustainable development and resource security: from disruptive technologies to digital transformation of Ukrainian economy” (No. 0121U100470); “Fundamental bases of the phase transition to an additive economy: from disruptive technologies to institutional sociologization of decisions” (No. 0121U109557).

“…The latter represents an open stationary system. In particular, the efficient use of the energy potential is defined through the information algorithm of the system and the degree of interaction between particular subsystems (Melnyk, 2021).…”

Section: Information and Synergymentioning

confidence: 99%

Socio-economic innovations in systems analysis: environmental and economic aspects

Yevdokimov

et al. 2022

IJETM

Current socio-economic development framework provides insufficient opportunities to apply traditional decision making and managerial tools. Specifically, it ignores the bifurcation (qualitative) changes in economic systems as well as critical relationships between the economy and environment. This results in nonlinear relationships between socio-economic and environmental factors. In fact, ecological and economic effects are complex multi-factorial phenomena. The paper offers a methodological approach that defines the overall effect from economic activities of an economic agent with the help of a correction coefficient, which is based on the ratio of internal and external effects. This methodology is applied to define the correction coefficients in the Ukrainian economy on the basis of the data collected over more than 40 years. The paper also offers the analysis of investment business projects in Sumy Region showing internal, external effects, and integral results of the investment business projects.