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This is an open access book. This edited volume discusses topics in environmental economics with a focus on sustainability, conservation, and responsible resource management. Written in memory of Peter Berck, Professor of Agricultural and Resource Economics at the University of California, Berkeley, the chapters expand upon his insights about the connections between human activities and the natural world. The volume includes a selection of research on agriculture, energy, forestry, fisheries, land use, recycling, and conservation – all parts of the broad question of how natural resources can meet human needs while avoiding environmental degradation. Written from a 21st century perspective, with concerns about climate, renewable energy, biodiversity, and sustainable development, this volume will be of interest to researchers and students of agricultural and resource economics.
"The Economics of the Environment "completely integrates economics and environmental issues, explaining how both market successes and failures affect the environment. This text also shows readers how to measure the value of environmental goods, the use of these measurements in weighing environmental costs against the benefits of economic activity, and the implementation of policies to correct market failures.
This volume comprises fifteen papers exploring the consequences of applying modern time-series methods, particularly co-integrated time-series methods, for the analysis of forest economics problems. The methods represent the forefront of econometrics in this area, and the volume is the first of its kind. An introductory paper explains the econometrics of unit-root processes. Much of what follows in the other papers depends upon only a few of the ideas presented in the introduction. The volume includes tests of, e.g., the Law of One Price, land valuation models, demand and supply models, Granger-causality, and forecast models. The reader will learn a great deal about forest economies, particularly in Northern Europe, and about the practical use of modern time-series methods. The methods presented are applicable to other fields of economics. The volume is aimed at researchers in applied economics and as a supplement to (advanced) theoretical textbooks, mainly in Natural Resource Economics.
First published in 1995. Routledge is an imprint of Taylor & Francis, an informa company.
The volume contains a collection of studies on how the analysis of corpus and psycholinguistic data reveal how linguistic knowledge is affected by the frequency of linguistic elements/stimuli. The studies explore a wide range of phenomena , from phonological reduction processes and palatalization to morphological productivity, diachronic change, adjective preposition constructions, auxiliary omission, and multi-word units. The languages studied are Spanish and artificial languages, Russian, Dutch, and English. The sister volume focuses on language representation.
Modern business cycle theory and growth theory uses stochastic dynamic general equilibrium models. In order to solve these models, economists need to use many mathematical tools. This book presents various methods in order to compute the dynamics of general equilibrium models. In part I, the representative-agent stochastic growth model is solved with the help of value function iteration, linear and linear quadratic approximation methods, parameterised expectations and projection methods. In order to apply these methods, fundamentals from numerical analysis are reviewed in detail. In particular, the book discusses issues that are often neglected in existing work on computational methods, e.g....
The United States face enormous challenges in the energy area. Climate change, biofuels policy, energy security and environmental degradation are all intimately bound up with energy production and consumption. Historically, the federal government has relied on tax subsidies to effect energy policy. With mounting federal deficits, policymakers and advocates are increasingly calling for a rethinking of our energy tax policy. How can the federal tax code strengthen environmental policy and reduce security concerns in the area of energy? The authors tackle such difficult problems as climate change, efficient taxation of oil and gas, and optimal oil tax policy in a world with OPEC oil producers dominating world oil supply. This volume presents a number of innovative policy suggestions backed by sophisticated and cutting-edge research carried out by leading scholars in the area of energy taxation.
First Published in 2006. Routledge is an imprint of Taylor & Francis, an informa company.
Memory-based language processing--a machine learning and problem solving method for language technology--is based on the idea that the direct re-use of examples using analogical reasoning is more suited for solving language processing problems than the application of rules extracted from those examples. This book discusses the theory and practice of memory-based language processing, showing its comparative strengths over alternative methods of language modelling. Language is complex, with few generalizations, many sub-regularities and exceptions, and the advantage of memory-based language processing is that it does not abstract away from this valuable low-frequency information.
Environmental and Natural Resource Economics is the best-selling text for this course, offering a policy-oriented approach and introducing economic theory in the context of debates and empirical work from the field. Students leave the course with a global perspective of both environmental and natural resource economics. Gain flexibility in your course outlines: The text is organized, so that you can fit individual course outlines. Use relevant material: Students identify with up-to-date information, which gives them a global perspective on key issues. Engage students with self-test exercises, debates and examples: Students are able to prepare for their field and learn from an active learning path, which allows them to grasp concepts before moving though the text.