This manual, which has been jointly developed by the OECD and Eurostat, aims to provide a firm basis for constructing comparable statistics of the environmental industry.

This study presents a synthesis of 17 country studies on environmental goods and services (EG & S) commissioned by the OECD, UNCTAD and the UNDP. The countries examined are Brazil, Chile, China, Cuba, the Czech Republic, the Dominican Republic, Guatemala, Honduras, Israel, Kenya, Korea, Mexico, Nicaragua, Pakistan, Panama, Thailand and Vietnam. Its aim is to identify determinants of demand for EG & S; to show common themes and experiences in the EG & S markets of different countries; and to draw attention to key trade, environment and development policy linkages. It also seeks to contribute to the exchange of expertise and experience in the area of trade and environment so that liberalisation of trade in EG & S can benefit all countries, developing and developed alike.

This book examines the extent to which there are trade impediments to the transfer and adoption of environmental goods and services and how can these be addressed by global trade negotiations.

Environmental statistics is a rapidly growing field, supported by advances in digital computing power, automated data collection systems, and interactive, linkable Internet software. Concerns over public and ecological health and the continuing need to support environmental policy-making and regulation have driven a concurrent explosion in environmental data analysis. This textbook is designed to address the need for trained professionals in this area. The book is based on a course which the authors have taught for many years, and prepares students for careers in environmental analysis centered on statistics and allied quantitative methods of data evaluation. The text extends beyond the introductory level, allowing students and environmental science practitioners to develop the expertise to design and perform sophisticated environmental data analyses. In particular, it: Provides a coherent introduction to intermediate and advanced methods for modeling and analyzing environmental data. Takes a data-oriented approach to describing the various methods. Illustrates the methods with real-world examples Features extensive exercises, enabling use as a course text. Includes examples of SAS computer code for implementation of the statistical methods. Connects to a Web site featuring solutions to exercises, extra computer code, and additional material. Serves as an overview of methods for analyzing environmental data, enabling use as a reference text for environmental science professionals. Graduate students of statistics studying environmental data analysis will find this invaluable as will practicing data analysts and environmental scientists including specialists in atmospheric science, biology and biomedicine, chemistry, ecology, environmental health, geography, and geology.

This volume is a compendium of working papers intended to be a practical tool for negotiations on liberalising trade in environmental goods and services.