
Abstract There are striking parallels between the ground-breaking economic theories of Frank Ramsey and the current proposals of Kate Raworth in her theory of doughnut economics. Moreover, there are elements of both positions which align well with contemporary efforts to deal with the looming climate catastrophe through forms of de-growth strategies. Ramsey’s theories, introduced in the early 20th century, laid down foundational ideas for understanding how future consumption needs to be balanced against present needs. His notion of optimal growth over time aligns well with Raworth’s insistence that economic factors need to be interpreted within a framework of social justice and the well-being of the planet. Both these theories – reinforced by current work on de-growth strategies – can provide a blueprint for social and economic theory and practice which aims at creating a safe and just space where humanity can thrive without undermining the planet’s health. Key Words: Frank Ramsey, Doughnut Economics, Existential Risks, Inter-generational Ethics, DeGrowth Strategies
Doughnut Economics, DeGrowth Strategies, Frank Ramsey, Existential Risks, Inter-generational Ethics
Doughnut Economics, DeGrowth Strategies, Frank Ramsey, Existential Risks, Inter-generational Ethics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
