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Viable Ramsey economies

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  • Noël Bonneuil
  • Raouf Boucekkine

Abstract

The Ramsey model of economic growth is revisited from the perspective of viability theory. The Ramsey model, augmented with minimal consumption and sustainability criteria, becomes a viability problem. The framework allows for a clear picture of optimal viable, optimal non‐viable, and viable non‐optimal paths. The drastic sacrifices in terms of present consumption required by the implementation of Brundtland sustainability are visualized, the rich countries bearing the major part of the burden. The econometric analysis of viability sets enhances the role of technological progress in ensuring Brundtland sustainability. Preference parameters such as the pure time preference rate are statistically non‐significant. Le modèle de Ramsey de croissance économique est repris sous l'angle de la viabilité. Augmentée d'un critère de consommation minimale et d'un critère de soutenabilité, la croissance endogène devient un problème de viabilité. Les solutions comprennent les sentiers optimaux viables, les sentiers optimaux non viables, et les sentiers viables non‐optimaux. Les sacrifices en termes de consommation présente, nécessaires à la soutenabilité selon Brundtland, montrent que les pays riches doivent assumer la majeure partie du fardeau. L'analyse économétrique des volumes des ensembles de viabilité souligne le rôle du progrès technologique. Le taux pur de préférence temporelle s'avère statistiquement non significatif.

Suggested Citation

  • Noël Bonneuil & Raouf Boucekkine, 2014. "Viable Ramsey economies," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 47(2), pages 422-441, May.
  • Handle: RePEc:wly:canjec:v:47:y:2014:i:2:p:422-441
    DOI: 10.1111/caje.12084
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    1. repec:dau:papers:123456789/6869 is not listed on IDEAS
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    Cited by:

    1. Bonneuil, N. & Boucekkine, R., 2016. "Optimal transition to renewable energy with threshold of irreversible pollution," European Journal of Operational Research, Elsevier, vol. 248(1), pages 257-262.
    2. Jacek B. Krawczyk & Vladimir P. Petkov, 2022. "A Qualitative Game of Interest Rate Adjustments with a Nuisance Agent," Games, MDPI, vol. 13(5), pages 1-24, August.
    3. Girol Karacaoglu & Jacek B. Krawczyk, 2021. "Public policy, systemic resilience and viability theory," Metroeconomica, Wiley Blackwell, vol. 72(4), pages 826-848, November.
    4. Phoebe Koundouri & Georgios I. Papayiannis & Athanasios Yannacopoulos, 2022. "Optimal Control Approaches to Sustainability under Uncertainty," DEOS Working Papers 2215, Athens University of Economics and Business.
    5. Germain, Marc, 2017. "Optimal Versus Sustainable Degrowth Policies," Ecological Economics, Elsevier, vol. 136(C), pages 266-281.
    6. Marc Germain, 2016. "A simple degrowth model," Working Papers 2016.21, FAERE - French Association of Environmental and Resource Economists.
    7. Pedro Gajardo & Luc Doyen, 2018. "Viability standards and multi-criteria maximin," Cahiers du GREThA (2007-2019) 2018-04, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    8. Valérie Angeon & Samuel Bates, 2020. "Implementing the agroecological transition: an analysis of decision-making rules in banana farming systems in the French West Indies [Mettre en œuvre la transition agroécologique : une analyse des ," Post-Print hal-03135324, HAL.
    9. Noël Bonneuil & Raouf Boucekkine, 2016. "Viable Nash Equilibria in the Problem of Common Pollution," Working Papers halshs-01341983, HAL.

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    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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