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Gesell's Natural Economic Order as a Blueprint for a “Fairconomy” and a Sustainable Future

Félix Fuders

American Journal of Economics and Sociology2026https://doi.org/10.1111/ajes.70037article
AJG 2ABDC B
Weight
0.37

Abstract

The unsustainable trajectory of modern economic structures, especially the growth imperative, and the increasing disparity in income distribution, both widely acknowledged as barriers to sustainability, are fundamentally linked to the existing monetary system. However, the scope of this issue extends beyond sustainability alone, encompassing unemployment, inflation, and recurring financial crises, which are all intrinsically tied to the structural framework of current monetary mechanisms. This article contends that true sustainability can only be achieved by transitioning from an artificially structured monetary system to a more natural alternative, as advocated by Silvio Gesell. Implementing such a system is essential for approaching the theoretical construct of “perfect competition”, which remains unattainable under existing financial paradigms, and for realizing what Max‐Neef et al. (1991) describe as “development at human scale”, a model that prioritizes the fulfillment of fundamental human needs.

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https://doi.org/https://doi.org/10.1111/ajes.70037

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@article{félix2026,
  title        = {{Gesell's Natural Economic Order as a Blueprint for a “Fairconomy” and a Sustainable Future}},
  author       = {Félix Fuders},
  journal      = {American Journal of Economics and Sociology},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1111/ajes.70037},
}

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Gesell's Natural Economic Order as a Blueprint for a “Fairconomy” and a Sustainable Future

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.