Cost-Effective Control of Urban Smog: The Significance of the Chicago Cap-and-Trade Approach

Cost-Effective Control of Urban Smog: The Significance of the Chicago Cap-and-Trade Approach


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Containing rigorous hard evidence, this book is of immense practical use to postgraduates, researchers and business communities affected by or working in environmental regulation. The author, a leading name in the environmental economics community, examines the problem of urban smog in cityscapes and the difficulty of achieving cost-effective controls.

Analyzing the key areas of urban smog, low-level ozone and volatile organic compound emissions and their impact on health and welfare of communities this text assesses and evaluates the performance of emissions trading systems and suggests alternative market designs for incentive control of pollution. Taking a well-reasoned approach to the contentious area of the use of market incentives to achieve environmental goals, it provides a study of the pioneering cap-and-trade market, particularly focusing on its poor performance in Chicago.

A perfect supplementary text postgraduates and researchers, this is also an essential read for all those interested in environmental economics.

Product Details

ISBN-13: 9780415647045
Publisher: Taylor & Francis
Publication date: 05/03/2013
Series: Routledge Explorations in Environmental Economics Series
Pages: 208
Product dimensions: 6.25(w) x 9.25(h) x 0.44(d)

Table of Contents

1. Introduction 2. The Political Economy of the Chicago Market 3. Expectations and Actual Performance 4. Traditional Regulations and Market Incentives 5. Simulated Performance of Alternative Market 6. Explaining Unanticipated Market Performance 7. Hot Spots, Spikes, and Emissions Trading 8. Alternative Market Designs: The Experimental Approach 9. Conclusions and Policy Recommendations for Market Redesign Appendix A. Measurement of Daily Ozone and Precursor Concentrations and Selected Meteorological Variables Appendix B. Explanation of Generalized Least Squares (GLS) and Generalized Additive Models (GAM) Estimation Techniques

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