The political economist Benjamin Friedman once compared modern Western society to a stable bicycle whose wheels are kept spinning by economic growth. Should that forward-propelling motion slow or cease, the pillars that define our society – democracy, individual liberties, social tolerance and more – would begin to teeter. Our world would become an increasingly ugly place, one defined by a scramble over limited resources and a rejection of anyone outside of our immediate group. Should we find no way to get the wheels back in motion, we’d eventually face total societal collapse. [...]
Safa Motesharrei, a systems scientist at the University of Maryland, uses computer models to gain a deeper understanding of the mechanisms that can lead to local or global sustainability or collapse. According to findings that Motesharrei and his colleagues published in 2014, there are two factors that matter: ecological strain and economic stratification. The ecological category is the more widely understood and recognised path to potential doom, especially in terms of depletion of natural resources such as groundwater, soil, fisheries and forests – all of which could be worsened by climate change.
That economic stratification may lead to collapse on its own, on the other hand, came as more of a surprise to Motesharrei and his colleagues. Under this scenario, elites push society toward instability and eventual collapse by hoarding huge quantities of wealth and resources, and leaving little or none for commoners who vastly outnumber them yet support them with labour. Eventually, the working population crashes because the portion of wealth allocated to them is not enough, followed by collapse of the elites due to the absence of labour. The inequalities we see today both within and between countries already point to such disparities. For example, the top 10% of global income earners are responsible for almost as much total greenhouse gas emissions as the bottom 90% combined. Similarly, about half the world’s population lives on less than $3 per day.
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