Overview
- One-stop shopping of Input-Output Analysis (IOA) for Industrial Ecology (IE)
- Truly cross-disciplinary
Part of the book series: Eco-Efficiency in Industry and Science (ECOE, volume 23)
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Table of contents (38 chapters)
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Front Matter
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Material Flow Analysis
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Life Cycle Assessment
Keywords
About this book
Industrial Ecology (IE) is an emerging multidisciplinary field. University departments and higher education programs are being formed on the subject following the lead of Yale University, The Norwegian University of Science and Technology (NTNU), Leiden University, University of Michigan at Ann Arbor, Carnegie Mellon University, University of California at Berkeley, Institute for Superior Technology in Lisbon, Eidgenössische Technische Hochschule (ETH) Zürich, and The University of Tokyo. IE deals with stocks and flows in interconnected networks of industry and the environment, which relies on a basic framework for analysis.
Among others, Input-Output Analysis (IOA) is recognized as a key conceptual and analytical framework for IE. A major challenge is that the field of IOA manifests a long history since the 1930s with two Nobel Prize Laureates in the field and requires considerable analytical rigor. This led many instructors and researchers to call for a high-quality publication on the subject which embraces both state-of-the-art theory and principles as well as practical applications.
Editors and Affiliations
Bibliographic Information
Book Title: Handbook of Input-Output Economics in Industrial Ecology
Editors: Sangwon Suh
Series Title: Eco-Efficiency in Industry and Science
DOI: https://doi.org/10.1007/978-1-4020-5737-3
Publisher: Springer Dordrecht
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer Science+Business Media B.V. 2009
Hardcover ISBN: 978-1-4020-4083-2Published: 20 May 2009
Softcover ISBN: 978-1-4020-6154-7Published: 13 July 2010
eBook ISBN: 978-1-4020-5737-3Published: 13 May 2009
Series ISSN: 1389-6970
Edition Number: 1
Number of Pages: XXXV, 882
Topics: Operations Management, Math. Appl. in Environmental Science, Waste Management/Waste Technology, Industrial Pollution Prevention, Environmental Economics, Economic Theory/Quantitative Economics/Mathematical Methods