Kinetic modeling of knowledge and wealth dynamics in national and global markets

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Authors: Marzia Bisi, Martina Conte, Maria Groppi
Cited by: 2
References: 42

Abstract

We propose a kinetic model to describe the dynamical evolution of wealth and knowledge in national and global markets, starting from a microscopic description of individual interactions. The model is built upon interaction rules that account for a strong interdependence between the microscopic variables, influencing agents’ trading and saving propensities, knowledge acquisition, and the stochastic market effects. We begin with a domestic market scenario and extend the framework to international trade, incorporating the possibility of individual transfers between different countries. The dynamics of the system are described through Boltzmann-type equations, which allow for a detailed study of the evolution of the agent distribution in each country. In this context, we study the evolution of macroscopic quantities of the system, focusing on the number density of individuals, and the mean wealth and knowledge of each population, and we discuss these results in relation to existing models in the literature. Finally, under a quasi-invariant trading limit, we derive simplified Fokker–Planck type equations that reveal some emergent behaviors of the system, including the formation of Pareto tails in the long-term wealth and knowledge distributions.

Fields of Study & Subjects

Economic Development and Digital Transformation Complex Systems and Time Series Analysis

Publication details

Journal / source
Mathematical Models and Methods in Applied Sciences
Publisher
World Scientific Pub Co Pte Ltd
Volume
36
Issue
06
Pages
1271–1305
Publication date
11 February 2026
Language
EN