University of Montreal, Canada
University of Yaoundé I, Cameroon
National School of Applied Statistics and Economics, Ivory Coast
Africa Climate Policy Centre (ACPC)
United Nations Statistics Division, New York
National Institute of Statistics, Cameroon
Calvin Atewamba is a research fellow at the United Nations University-Institute for Natural Resources in Africa (UNU-INRA). He is also a resource person for the Africa Adaptation Research Centers (AARC) at the International Development Research Centre (IDRC).
Before joining UNU-INRA, he was a climate economics and low carbon development research fellow for Africa Climate Policy Centre (ACPC) of the United Nations Economic Commission for Africa (UNECA), since August 2011. In January – March 2011, he was a visiting scholar to the United Nations Statistics Division in New York. Between 2004 and 2005, he was a statistician-economist at the National Bureau for Technical Studies and Development in Ivory Coast. He later joined the National Institute of Statistics of Cameroon in the same capacity. He holds a PhD. in Economics from University of Montreal, with a specialty in environmental and resources economics, financial economics and econometrics. His MSc. was in mathematics from University of Yaoundé I in Cameroon. In addition, he possesses a Statistician & Economist Engineer Degree from National School of Applied Statistics and Economics in Ivory Coast.
His research interests center on improving the understanding of resource quantities and prices behaviour, mainly through the analysis of market features such as market power, exploration of new reserves, heterogeneity, durability and uncertainty. He has extensive experience working on empirical models to estimate the in-situ price and the optimal extraction rate of non-renewable natural resources based on the Hotelling model of the exploitation of exhaustible resources. In the environment arena, he has worked on adaptation and mitigation of climate change issues. He has developed models on cost-benefit analysis of climate policy options. Currently, he is working on a new type of climate-economic models derived from Agent-Based modeling (ABM) techniques to provide a more realistic behavioural foundation of the economic agents’ capacity to adapt to changing climate. He has over 20 technical and peer reviewed articles to his credit.