Predicting economic growth with classical physics and human biology

Hans G. Danielmeyer; Thomas Martinetz

Predicting economic growth with classical physics and human biology

Institut für Neuro- und Bioinformatik

Abstract

We collect and analyze the data for working time, life expectancy, and the pair output and infrastructure of industrializing nations. During S-functional recovery from disaster the pair’s time shifts yield 25 years for the infrastructure’s physical lifetime. At G7 level the per capita outputs converge and the time shifts identify a heritable quantity with a reaction time of 62 years. It seems to control demand and the spare time required for enjoying G7 affluence. The sum of spare and working time is fixed by the universal flow of time. This yields analytic solutions for equilibrium, recovery, and long-term evolution for all six variables with biologically stabilized parameters.

Originalsprache	Englisch
Zeitschrift	arXiv:1212.1286 [q-fin.GN]
Seitenumfang	4
Publikationsstatus	Veröffentlicht - 06.12.2012

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 3 – Gesundheit und Wohlergehen
SDG 8 – Angemessene Arbeitsbedingungen und wirtschaftliches Wachstum
SDG 9 – Industrie, Innovation und Infrastruktur

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https://arxiv.org/abs/1212.1286v1

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M3 - Journal articles

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Predicting economic growth with classical physics and human biology

Abstract

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