Study of nonlinearity of capital redistribution in economic systems

The objective of this study is to test the hypothesis of insignificance of the impact of capital redistribution nonlinearity on economic systems as a whole using digital models given large estimation errors that occur in reality. For this purpose, it is proposed to use a digital model. The expansion of its application areas proves that this model is becoming increasingly universal. Therefore, it is necessary to reconsider the accuracy of the justifications used in it. The model regards the market as a new cooperative entity. To promote the digital model as a universal tool, it is necessary to remove the contradiction of nonlinearity. A more subtle analysis involves including randomized individual Leontief matrices in solving the main problems of the economy. In the course of surveys of ordinary people and professional economists, it was revealed that their results show a significant spread in estimates of the fundamentality of the requirement for redistribution nonlinearity. In methodological terms, empirical results were obtained by modeling the impact of income nonlinearity on countries with different levels of capital and resource endowment. To take into account huge random fluctuations in the dynamics of economic system development given large estimation errors, it seems advisable to use a competition scheme of two almost identical countries that differ in three factors: redistribution nonlinearity; level of random estimation errors; availability of natural resources.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-10
DOI
https://doi.org/10.5281/zenodo.14878299
Primary Topic
Antenna Design and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Study of nonlinearity of capital redistribution in economic systems

Zenodo (CERN European Organization for Nuclear Research)
Antenna Design and Analysis
article

Study of nonlinearity of capital redistribution in economic systems

article en

Abstract

The objective of this study is to test the hypothesis of insignificance of the impact of capital redistribution nonlinearity on economic systems as a whole using digital models given large estimation errors that occur in reality. For this purpose, it is proposed to use a digital model. The expansion of its application areas proves that this model is becoming increasingly universal. Therefore, it is necessary to reconsider the accuracy of the justifications used in it. The model regards the market as a new cooperative entity. To promote the digital model as a universal tool, it is necessary to remove the contradiction of nonlinearity. A more subtle analysis involves including randomized individual Leontief matrices in solving the main problems of the economy. In the course of surveys of ordinary people and professional economists, it was revealed that their results show a significant spread in estimates of the fundamentality of the requirement for redistribution nonlinearity. In methodological terms, empirical results were obtained by modeling the impact of income nonlinearity on countries with different levels of capital and resource endowment. To take into account huge random fluctuations in the dynamics of economic system development given large estimation errors, it seems advisable to use a competition scheme of two almost identical countries that differ in three factors: redistribution nonlinearity; level of random estimation errors; availability of natural resources.

Zenodo (CERN European Organization for Nuclear Research)
Central Economics and Mathematics Institute (RU)
Openalex Percentile: Top 46%
Antenna Design and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.