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The new wealth of nations: How STEM fields generate the prosperity and inequality of individuals, companies, and countries

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  • Podobnik, Boris
  • Christopher Crawford, G.
  • Lichtenstein, Benyamin
  • Lipic, Tomislav
  • Wild, Dorian
  • Zhang, Xin
  • Stanley, H. Eugene

Abstract

Fundamental research in physics has long been a prerequisite for computer scientists and engineers to design innovative products, such as laptops and cell phones. Technological innovations and fundamental research are both part of the so-called STEM fields (Science, Technology, Engineering, and Mathematics), which are known to substantially contribute to economic growth. However, the questions still remain: how much contribution do these fields make to both wealth accumulation and inequality at different levels of analysis? First, analyzing the lists of world’s wealthiest individuals, the Zipf plot analysis demonstrates that STEM billionaires contribute more to wealth inequality than their non-STEM counterparts. Analyzing the companies in the S&P500, we find that STEM firms contribute more to wealth inequality and have larger growth rates on average than the non-STEM firms. Finally, we show that the more STEM graduates in a country, the larger its GDP growth rate. In combination, we demonstrate that STEM is a fractal mechanism that drives wealth accumulation—and the wealth inequality— at different scales of economy—from individual wealth to firm valuation to country GDP.

Suggested Citation

  • Podobnik, Boris & Christopher Crawford, G. & Lichtenstein, Benyamin & Lipic, Tomislav & Wild, Dorian & Zhang, Xin & Stanley, H. Eugene, 2020. "The new wealth of nations: How STEM fields generate the prosperity and inequality of individuals, companies, and countries," Chaos, Solitons & Fractals, Elsevier, vol. 141(C).
    • Handle: RePEc:eee:chsofr:v:141:y:2020:i:c:s0960077920307189
    DOI: 10.1016/j.chaos.2020.110323
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    1. Cai, Zhengyu & Winters, John V., 2017. "Self-employment differentials among foreign-born STEM and non-STEM workers," Journal of Business Venturing, Elsevier, vol. 32(4), pages 371-384.
    2. Xavier Gabaix & Jean‐Michel Lasry & Pierre‐Louis Lions & Benjamin Moll, 2016. "The Dynamics of Inequality," Econometrica, Econometric Society, vol. 84, pages 2071-2111, November.
    3. Boyan Jovanovic & Peter L. Rousseau, 2001. "Why Wait? A Century of Life before IPO," American Economic Review, American Economic Association, vol. 91(2), pages 336-341, May.
    4. Drăgulescu, Adrian & Yakovenko, Victor M., 2001. "Exponential and power-law probability distributions of wealth and income in the United Kingdom and the United States," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 299(1), pages 213-221.
    5. Charles I. Jones & Jihee Kim, 2018. "A Schumpeterian Model of Top Income Inequality," Journal of Political Economy, University of Chicago Press, vol. 126(5), pages 1785-1826.
    6. Charles I. Jones, 2015. "Pareto and Piketty: The Macroeconomics of Top Income and Wealth Inequality," Journal of Economic Perspectives, American Economic Association, vol. 29(1), pages 29-46, Winter.
    7. Xavier Gabaix, 2009. "Power Laws in Economics and Finance," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 255-294, May.
    8. Ana Castaneda & Javier Diaz-Gimenez & Jose-Victor Rios-Rull, 2003. "Accounting for the U.S. Earnings and Wealth Inequality," Journal of Political Economy, University of Chicago Press, vol. 111(4), pages 818-857, August.
    9. Daron Acemoglu & James A. Robinson, 2015. "The Rise and Decline of General Laws of Capitalism," Journal of Economic Perspectives, American Economic Association, vol. 29(1), pages 3-28, Winter.
    10. Rosen, Sherwin, 1981. "The Economics of Superstars," American Economic Review, American Economic Association, vol. 71(5), pages 845-858, December.
    11. Junming Huang & Alexander J. Gates & Roberta Sinatra & Albert-László Barabási, 2020. "Historical comparison of gender inequality in scientific careers across countries and disciplines," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(9), pages 4609-4616, March.
    12. Stiglitz, Joseph E, 1969. "Distribution of Income and Wealth among Individuals," Econometrica, Econometric Society, vol. 37(3), pages 382-397, July.
    13. Xavier Gabaix & Rustam Ibragimov, 2011. "Rank - 1 / 2: A Simple Way to Improve the OLS Estimation of Tail Exponents," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 24-39, January.
    14. Thomas Piketty & Emmanuel Saez, 2003. "Income Inequality in the United States, 1913–1998," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 1-41.
    15. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    16. Morgan R. Frank & David Autor & James E. Bessen & Erik Brynjolfsson & Manuel Cebrian & David J. Deming & Maryann Feldman & Matthew Groh & José Lobo & Esteban Moro & Dashun Wang & Hyejin Youn & Iyad Ra, 2019. "Toward understanding the impact of artificial intelligence on labor," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(14), pages 6531-6539, April.
    17. Benyamin B. Lichtenstein & Bill McKelvey, 2011. "Four types of emergence: a typology of complexity and its implications for a science of management," International Journal of Complexity in Leadership and Management, Inderscience Enterprises Ltd, vol. 1(4), pages 339-378.
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    1. Bruna Bruno & Marisa Faggini, 2021. "To be a STEM or not to be a STEM: Why do countries differ?," Growth and Change, Wiley Blackwell, vol. 52(3), pages 1535-1551, September.
    2. Podobnik, Boris & Dabić, Marina & Wild, Dorian & Di Matteo, Tiziana, 2023. "The impact of STEM on the growth of wealth at varying scales, ranging from individuals to firms and countries: The performance of STEM firms during the pandemic across different markets," Technology in Society, Elsevier, vol. 72(C).
    3. Fernandes, Leonardo H.S. & Silva, José W.L. & de Araujo, Fernando H.A., 2022. "Multifractal risk measures by Macroeconophysics perspective: The case of Brazilian inflation dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    4. Crawford, G. Christopher & Joo, Harry & Aguinis, Herman, 2024. "Under the weight of heavy tails: A power law perspective on the emergence of outliers in entrepreneurship," Journal of Business Venturing Insights, Elsevier, vol. 21(C).

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