Librería Samer Atenea
Librería Aciertas (Toledo)
Kálamo Books
Librería Perelló (Valencia)
Librería Elías (Asturias)
Donde los libros
Librería Kolima (Madrid)
Librería Proteo (Málaga)
Rigorous, yet written in a way that facilitates understanding of complex material, Environmental Economics: An Integrated Approach provides practical and working knowledge of how environmental policy analysis is developed. This is a true textbook, detailing the tools required to conduct that analysis and also discusses weaknesses in the existing methods, underlining areas for future improvement. This approach allows readers to get a sense of what is known and what is not known about environmental economics. The book discusses why we have environmental problems and how we would optimally react if we had perfect information about environmental benefits and costs. It then describes methods in use-and their flaws-to acquire the information necessary to enact environmental policy. The book starts with a categorization of goods types, concluding that environmental problems stem from non-excludable goods that are either rivalrous or non-rivalrous. The author introduces the Coase Theorem in the first chapter, then details how households and firms would behave when facing a zero price on pollution versus a price on pollution set equal to presumed known marginal damages. He connects the economic system with the environmental system by aggregating up from individual decisions to the aggregate market system and the aggregate environmental quality. But, of course, the information available is rarely perfect. Clarifying the information difficulties faced by households, firms, and policy makers, the author recognizes that there is both a knowledge gap and a communication gap. He then covers the methods policy makers employ in an attempt to gain sufficient insight into marginal benefits and marginal costs to properly set a marginal damage tax, properly limit emission rights, or properly provide public goods. The book then examines the nature of these methods and their likely bias, before concluding that surviving the next 50 to 100 years will lead to a w
