Economics of Global Allocations of the Green Climate Fund

This book provides an incisive and economic assessment of the global warming adaptation policy and programs carved out by the United Nations Framework Convention on Climate Change, the Green Climate Fund (GCF), by relying on the four scientific traditions that have been advanced on the economics of adaptation to climate change in agricultural and natural resource enterprises. Substantially expanding and refocusing on the book Micro-behavioral Economics of Global Warming: Modeling Adaptation Strategies in Agricultural and Natural Resource Enterprises published by Springer in 2015, this book elucidates the theories and summarizes the empirical results and predictions from the four traditions of adaptation modelling: a microbehavioral economic model of adaptation, an agronomic-economic modelling, a statistical model of yield/productivity changes, and an ecosystem model of climate change impacts. The four modeling traditions are freshly analyzed and applied to the assessments of the 93+ GCF-funded projects and programs through the end of 2018. 

Professor S. Niggol SEO is a natural resource economist who specializes in the study of global warming. Born in a rural village in South Korea in 1972, he received a Ph.D. degree in Environmental and Natural Resource Economics from Yale University in May 2006 with a dissertation on micro-behavioral models of global warming. While at Yale, he learned from Professors Robert Mendelsohn and William Nordhaus (Nobel Prize in 2018) on the economics of global warming. Since 2003, he has worked on various World Bank projects on climate change in Africa, Latin America, and Asia. He held Professor positions in the UK, Spain, and Australia from 2006 to 2015. He has been on the editorial boards of the three journals: Climatic Change, Food Policy, Applied Economic Perspectives and Policy. He received an Outstanding Applied Economic Perspectives and Policy Article Award from the Agricultural and Applied Economics Association (AAEA) in Pittsburgh in June 2011 for developing a behavioral economic model of adaptations to climate change.