Predicting economic growth with classical physics and human biology

TL;DR

This paper models economic growth by integrating classical physics and human biology, analyzing data on work, life expectancy, and infrastructure to derive insights into long-term economic evolution and recovery dynamics.

Contribution

It introduces a novel framework combining physics and biology to explain economic growth and recovery, providing analytic solutions for key variables.

Findings

Time shifts relate to infrastructure lifetime during recovery.

Per capita outputs converge at G7 level.

A heritable quantity with a 62-year reaction time influences demand.

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.