Abstract
(JEL codes: Q2, D00)
Sustainability of biodiverse renewable natural resources requires
a pricing regime that can takes into account intrinsic rates
of growth, heterogeneous harvesting rates, and the interdependence
of species. Drawing on the theory of renewable natural resource
pricing, we develop a discrete model of dynamic optimization
of multiple species of renewable natural resources, along with
an index of relative biodiversity. Using a sustainable yield
framework, we then illustrate how interdependence can be factored
within a dynamic optimization model to derive the corresponding
shadow prices, and how the corresponding index of relative biodiversity
will change over time. In turn, the corresponding shadow prices
can be used to determine the value of harvesting permits consistent
with species interdependence and sustainable growth.
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