Dynamic Optimization in Environmental Economics

Inbunden, Engelska, 2014

Del 15 i serien Dynamic Modeling and Econometrics in Economics and Finance

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Beskrivning

The book presents new developments in the dynamic modeling and optimization methods in environmental economics and provides a huge range of applications dealing with the economics of natural resources, the impacts of climate change and of environmental pollution, and respective policy measures.

Produktinformation

Utgivningsdatum:2014-03-12
Mått:155 x 235 x 26 mm
Vikt:717 g
Format:Inbunden
Språk:Engelska
Serie:Dynamic Modeling and Econometrics in Economics and Finance
Antal sidor:355
Upplaga:2014
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783642540851

Utforska kategorier

Optimering inom Naturvetenskap och teknik
Miljöekonomi inom Ekonomi och Ledarskap
Företagsekonomi inom Ekonomi och Ledarskap

Innehållsförteckning

Interactions between Economy and Climate: Climate Change and Technical Progress: Impact of Informational Constraints.- Environmental Policy in a Dynamic Model with Heterogeneous Agents and Voting.- Optimal Environmental Policy in the Presence of Multiple Equilibria and Reversible Hysteresis.- Modeling the Dynamics of the Transition to a Green Economy.- One-Parameter GHG Emission Policy With R&D-Based Growth.- Pollution, Public Health Care, and Life Expectancy when Inequality Matters.- Uncertain Climate Policy and the Green Paradox.- Uniqueness Versus Indeterminacy in the Tragedy of the Commons - A "Geometric" Approach.- Optimal Extraction of Resources: Dynamic Behavior of Oil Importers and Exporters Under Uncertainty.- Robust Control of a Spatially Distributed Commercial Fishery.- On the Effect of Resource Exploitation on Growth: Domestic Innovation vs. Technological Diffusion Through Trade.- Forest Management and Biodiversity in Size-Structured Forests Under Climate Change.- Carbon Taxes and Comparison of Trading Regimes in Fossil Fuels.- Landowning, Status and Population Growth.- Optimal Harvesting of Size-Structured Biological Populations.