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Population and climate change

The International Institute for Applied Systems Analysis (IIASA) and Cambridge University Press are pleased to announce the publication of Population and Climate Change by Brian C. O'Neill, F. Landis MacKellar, and Wolfgang Lutz. Population and Climate Change provides the first systematic in-depth treatment of links between two major themes of the 21st century: population growth and associated demographic trends such as aging, and climate change. The multidisciplinary team of authors integrates both natural science and social science perspectives intended for members of both communities.

The book examines the role of demographic factors in greenhouse gas emissions and asks how population trends affect the ability of societies and institutions to respond to the potential impacts of climate change. Based on this review, it considers whether climate change strengthens the case for population policies.

The book will be of primary interest to researchers in the fields of climate change, demography, and economics. It will also be useful to policy-makers and NGO's dealing with issues of population dynamics and climate change, and to teachers and students on courses such as environmental studies, demography, climatology, economics, earth systems science, and international relations. It provides overview chapters aimed at non-specialists on climate change, population, and population-economy-environment interactions that provide sufficient context for understanding the interdisciplinary analysis also presented in the book.

According to Partha Dasgupta, renowned economist at Cambridge University, "This is the first systematic, quantitative work to be done on population, climate, and the environment. It is expert, thorough, and, what is most pertinent, believable. It will prove to be the starting point for anyone who wishes to understand and work on this most important of problem areas." Brian C. O'Neill is an assistant professor at the Wat
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Contact: Karen Gerwitz
gerwitz@iiasa.ac.at
43-2236-807 370
International Institute for Applied Systems Analysis
7-Nov-2000


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