A comprehensive analysis of environmental externality, combining theory, algorithms, and applications to provide a unified and balanced framework.
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Zili Yang is Professor of Economics at the State University of New York at Binghamton. He has collaborated with Professor William Nordhaus, winner of the 2018 Nobel Prize for Economics, on the development of the RICE model. He is the author of Strategic Bargaining and Cooperation in Greenhouse Gas Mitigations (The MIT Press, 2008).
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Paperback. Condición: new. Paperback. This innovative book models pollution mitigation as a negative externality whilst also providing desirable and useful solutions, such as establishing the triangular equivalence relationship among the Lindahl equilibrium without transfers, the Nash bargaining solution with the payoffs of the Cournot-Nash equilibrium as the status quo point, and the social optimum under the Lindahl weights. By introducing programming algorithms to validate these relationships numerically, Zili Yang bridges the gap between analytical results and empirical modelling, ultimately solving the Lindahl equilibrium and hybrid Nash equilibria in the influential RICE model. This text demonstrates the complexity and variety of environment externality problems, ranging from mixed externality to correlated externalities to environmental externality under IRS and policy applications. Integrating theory, algorithms and applications in a comprehensive framework, The Environment and Externality will benefit scholars and students working across environmental, resource and climate change economics. An up-to-date and comprehensive discussion of environmental externality and climate change economics, combining relevant theory, algorithms and applications in a comprehensive framework. It combines analytical results and an algorithmic 'tool box' that can be applied by scholars and students to their own individual research and modelling. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781108708302
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