The paper combines analytic and numeric tools to investigate a nonlinear optimal control problem relevant to the economics of climate change. The problem describes optimal investments into pollution mitigation and environmental adaptation at a macroeconomic level. The steady-state analysis of this problem focuses on the optimal ratio between adaptation and mitigation. In particular, we analytically prove that the long-term investments into adaptation are profitable only for economies above certain efficiency threshold. Numerical simulation is provided to estimate how the economic efficiency and capital deterioration affect the optimal policy. © EDP Sciences, 2014
This work develops a framework for the analysis at the macro-level of the relationship between adapt...
\ua9 1999, Springer Japan. This paper models an economy with a stock pollution problem that must cho...
We study optimal adaptation to climate change when the harmful consequences of global warming are as...
The paper combines analytic and numeric tools to investigate a nonlinear optimal control problem rel...
The paper combines analytic and numeric tools to investigate a nonlinear optimal control problem rel...
The paper analytically explores the optimal policy mix between mitigation and environmental adaptati...
The paper analytically explores the optimal allocation of investments into mitigation and environmen...
Atolia M, Loungani P, Maurer H, Semmler W. Optimal control of a global model of climate change with ...
In this paper we focus on a long-term dynamic analysis of the optimal adaptation/mitigation mix in t...
This work develops a framework for the analysis at the macro-level of the relationship between adapt...
Abstract: We study the optimal role of mitigation and adaptation strategies for “environmentally sma...
We formulate and study a nonlinear game of n symmetric countries that produce, pollute, and spend pa...
This paper analyzes the optimal mix of adaptation and mitigation expenditures in a cost-effective se...
Adaptation for Mitigation / Masako Ikefuji, Jan R. Magnus, Hiroaki Sakamoto. Fondazione Eni Enrico M...
This work develops a framework for the analysis at the macro-level of the relationship between adapt...
This work develops a framework for the analysis at the macro-level of the relationship between adapt...
\ua9 1999, Springer Japan. This paper models an economy with a stock pollution problem that must cho...
We study optimal adaptation to climate change when the harmful consequences of global warming are as...
The paper combines analytic and numeric tools to investigate a nonlinear optimal control problem rel...
The paper combines analytic and numeric tools to investigate a nonlinear optimal control problem rel...
The paper analytically explores the optimal policy mix between mitigation and environmental adaptati...
The paper analytically explores the optimal allocation of investments into mitigation and environmen...
Atolia M, Loungani P, Maurer H, Semmler W. Optimal control of a global model of climate change with ...
In this paper we focus on a long-term dynamic analysis of the optimal adaptation/mitigation mix in t...
This work develops a framework for the analysis at the macro-level of the relationship between adapt...
Abstract: We study the optimal role of mitigation and adaptation strategies for “environmentally sma...
We formulate and study a nonlinear game of n symmetric countries that produce, pollute, and spend pa...
This paper analyzes the optimal mix of adaptation and mitigation expenditures in a cost-effective se...
Adaptation for Mitigation / Masako Ikefuji, Jan R. Magnus, Hiroaki Sakamoto. Fondazione Eni Enrico M...
This work develops a framework for the analysis at the macro-level of the relationship between adapt...
This work develops a framework for the analysis at the macro-level of the relationship between adapt...
\ua9 1999, Springer Japan. This paper models an economy with a stock pollution problem that must cho...
We study optimal adaptation to climate change when the harmful consequences of global warming are as...