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On the attainment of the maximum sustainable yield in the Verhulst–Lotka–Volterra model

On the attainment of the maximum sustainable yield in the Verhulst-Lotka-Volterra model
Authors: Luca Lambertini; George Leitmann;

On the attainment of the maximum sustainable yield in the Verhulst–Lotka–Volterra model

Abstract

We reformulate the Verhulst-Lotka-Volterra model of natural resource extraction under the alternative assumptions of Cournot behaviour and perfect competition, to revisit the tragedy of commons vs the possibility of sustainable harvesting. We stress the different impact of demand elasticity on the regulator’s possibility of driving industry harvest to the maximum sustainable yield in the two settings. The presence of a flat demand function offers the authority a fully effective regulatory tool in the form of the exogeneous price faced by perfectly competitive firms, to drive their collective harvest rate at the maximum sustainable yield. The same cannot happen under Cournot competition, as in this case the price is endogenous and the regulator’s policy is confined to limiting access to the common pool.

Country
Italy
Keywords

L13, open-loop controls, Q20, Environmental economics (natural resource models, harvesting, pollution, etc.), ddc:330, differential games, Q28, sustainability, SECS-P/01 Economia politica, C73, Population dynamics (general), Quaderni - Working Paper DSE, tragedy of commons, Special types of economic markets (including Cournot, Bertrand), resource extraction, tragedy of commons; sustainability; differential games; resource extraction, Differential games (aspects of game theory)

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    5
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Average
Green
bronze