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The mutual influence of knowledge and individual wealth growth

Author

Listed:
  • Xia Zhou

    (Yili Normal University
    Southwestern University of Finance and Economics)

  • Shaoyong Lai

    (Yili Normal University
    Southwestern University of Finance and Economics)

Abstract

Employing the kinetic theory, we investigate the mutual role of knowledge accumulation and individual wealth growth. For the accumulation of individual knowledge, we introduce a learning function with the spirit of prospect theory to describe the microscopic variation of agents’ knowledge and develop a kinetic model of knowledge evolution. Considering the wealth depending on knowledge and their mutual dependence, we construct a joint evolutionary model of knowledge and individual wealth. Our numerical experiments demonstrate that if knowledge reduces the risk of individual wealth growth or increases the wealth of low-wealth groups, wealth inequality decreases. In the case that the wealthy have more opportunities to choose good educational environment to learn knowledge, both knowledge and wealth inequality increase. When considering the government or state educational input, the inequality of knowledge and wealth decreases. Graphic Abstract

Suggested Citation

  • Xia Zhou & Shaoyong Lai, 2023. "The mutual influence of knowledge and individual wealth growth," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 96(6), pages 1-22, June.
    • Handle: RePEc:spr:eurphb:v:96:y:2023:i:6:d:10.1140_epjb_s10051-023-00543-w
    DOI: 10.1140/epjb/s10051-023-00543-w
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    References listed on IDEAS

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    1. Maarten C.J. van Rooij & Annamaria Lusardi & Rob J.M. Alessie, 2012. "Financial Literacy, Retirement Planning and Household Wealth," Economic Journal, Royal Economic Society, vol. 122(560), pages 449-478, May.
    2. Annamaria Lusardi & Pierre-Carl Michaud & Olivia S. Mitchell, 2017. "Optimal Financial Knowledge and Wealth Inequality," Journal of Political Economy, University of Chicago Press, vol. 125(2), pages 431-477.
    3. Düring, Bertram & Toscani, Giuseppe, 2008. "International and domestic trading and wealth distribution," CoFE Discussion Papers 08/02, University of Konstanz, Center of Finance and Econometrics (CoFE).
    4. repec:ecj:econjl:v:122:y:2012:i::p:449-478 is not listed on IDEAS
    5. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    6. Lorenzo Pareschi & Giuseppe Toscani, 2014. "Wealth distribution and collective knowledge. A Boltzmann approach," Papers 1401.4550, arXiv.org.
    7. Gualandi, Stefano & Toscani, Giuseppe, 2018. "Pareto tails in socio-economic phenomena: A kinetic description," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-17.
    8. Alina K. Bartscher & Moritz Kuhn & Moritz Schularick, 2020. "The College Wealth Divide: Education and Inequality in America, 1956-2016," Review, Federal Reserve Bank of St. Louis, vol. 102(1), pages 19-49.
    9. Fabian T. Pfeffer, 2018. "Growing Wealth Gaps in Education," Demography, Springer;Population Association of America (PAA), vol. 55(3), pages 1033-1068, June.
    10. Rimma Sagiyeva & Aziza Zhuparova & Rashid Ruzanov & Raigul Doszhan & Askar Askerov, 2018. "Intellectual input of development by knowledge-based economy: problems of measuring in countries with developing markets," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 6(2), pages 711-728, December.
    11. Watkins, Alfred, 2003. "From knowledge to wealth : transforming Russian science and technology for a modern knowledge economy," Policy Research Working Paper Series 2974, The World Bank.
    12. David Santiago Quevedo & Carlos José Quimbay, 2020. "Non-conservative kinetic model of wealth exchange with saving of production," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 93(10), pages 1-12, October.
    13. Bertram Düring & Lorenzo Pareschi & Giuseppe Toscani, 2018. "Kinetic models for optimal control of wealth inequalities," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 91(10), pages 1-12, October.
    14. Pareschi, Lorenzo & Toscani, Giuseppe, 2013. "Interacting Multiagent Systems: Kinetic equations and Monte Carlo methods," OUP Catalogue, Oxford University Press, number 9780199655465, December.
    15. Gualandi, Stefano & Toscani, Giuseppe, 2019. "Size distribution of cities: A kinetic explanation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 221-234.
    16. Maldarella, Dario & Pareschi, Lorenzo, 2012. "Kinetic models for socio-economic dynamics of speculative markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(3), pages 715-730.
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