Literature DB >> 30259818

Psychological origins of the Industrial Revolution.

Nicolas Baumard1.   

Abstract

Since the Industrial Revolution, human societies have experienced high and sustained rates of economic growth. Recent explanations of this sudden and massive change in economic history have held that modern growth results from an acceleration of innovation. But it is unclear why the rate of innovation drastically accelerated in England in the eighteenth century. An important factor might be the alteration of individual preferences with regard to innovation resulting from the unprecedented living standards of the English during that period, for two reasons. First, recent developments in economic history challenge the standard Malthusian view according to which living standards were stagnant until the Industrial Revolution. Pre-industrial England enjoyed a level of affluence that was unprecedented in history. Second, behavioral sciences have demonstrated that the human brain is designed to respond adaptively to variations in resources in the local environment. In particular, Life History Theory, a branch of evolutionary biology, suggests that a more favorable environment (high resources, low mortality) should trigger the expression of future-oriented preferences. In this paper, I argue that some of these psychological traits - a lower level of time discounting, a higher level of optimism, decreased materialistic orientation, and a higher level of trust in others - are likely to increase the rate of innovation. I review the evidence regarding the impact of affluence on preferences in contemporary as well as past populations, and conclude that the impact of affluence on neurocognitive systems may partly explain the modern acceleration of technological innovations and the associated economic growth.

Entities:  

Keywords:  Life History Theory; cultural evolution; psychology of poverty

Year:  2018        PMID: 30259818     DOI: 10.1017/S0140525X1800211X

Source DB:  PubMed          Journal:  Behav Brain Sci        ISSN: 0140-525X            Impact factor:   12.579


  5 in total

1.  Evoked and transmitted culture models: Using bayesian methods to infer the evolution of cultural traits in history.

Authors:  Alexandre Hyafil; Nicolas Baumard
Journal:  PLoS One       Date:  2022-04-07       Impact factor: 3.240

Review 2.  Life-history theory in psychology and evolutionary biology: one research programme or two?

Authors:  Daniel Nettle; Willem E Frankenhuis
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-06-01       Impact factor: 6.237

3.  Tracking historical changes in trustworthiness using machine learning analyses of facial cues in paintings.

Authors:  Lou Safra; Coralie Chevallier; Julie Grèzes; Nicolas Baumard
Journal:  Nat Commun       Date:  2020-09-22       Impact factor: 17.694

Review 4.  In Search of the Missing Links Between Economic Insecurity and Political Protest: Why Does Neoliberalism Evoke Identity Politics Instead of Class Interests?

Authors:  Juha Siltala
Journal:  Front Sociol       Date:  2020-04-29

5.  Why and How Did Narrative Fictions Evolve? Fictions as Entertainment Technologies.

Authors:  Edgar Dubourg; Nicolas Baumard
Journal:  Front Psychol       Date:  2022-03-01
  5 in total

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