- School of Public Policy
- Climate and Energy Policy Laboratory
Emanuele Massetti is Assistant Professor at the School of Public Policy of the Georgia Institute of Technology, where he teaches Introduction to Statistics (undergraduate), Environmental Economics (graduate) and Cost-Benefit Analysis (graduate and undergraduate).
Emanuele is a CESifo Research Network Affiliate, an Associate REsearcher at Fondazione Eni Enrico Mattei (FEEM) and Affiliate Researcher at the Euro-Mediterranean Center on Climate Change (CMCC).
Before joining Georgia Tech Emanuele was Senior Researcher at the Sustainable Development Unit of Fondazione Eni Enrico Mattei (FEEM).
He holds a PhD in Economics from Catholic University of Milan, a MSc in Economics from University College London and a MA in Economics from Brown University. In 2011-2013 Emanuele was Postdoctoral Fellow at the Yale School of Forestry and Environmental Studies.
His main research interests are in Environmental, Energy and Agricultural Economics and he is one of the authors of WITCH, an Integrated Assessment Model to study optimal climate mitigation policies. His research work now focuses on methods to estimate impacts of and adaptation to climate change.
Emanuele has worked as consultant for the EBRD, the OECD, the UNDP and the UNEP. In 2011-2014 he was Lead Author for the Working Group III of the Fifth Assessment Report of the IPCC.
- PhD, Catholic University of Milan, Economics
- Energy, Climate and Environmental Policy
- PUBP-3120: Stat Analysis-Pub Policy
- PUBP-3600: Sustain,Tech & Policy
- PUBP-4803: Special Topics
- PUBP-6312: Economics-Environ Polcy
- PUBP-8205: Adv Research Methods II
- U.S. Sulfur Dioxide Emission Reductions: Shifting Factors and a Carbon Dioxide Penalty
In: The Electricity Journal
- Quantifying the Ancillary Benefits of the Representative Concentration Pathways on Air Quality in Europe
In: Environmental and Resource Economics [Peer Reviewed]
This paper presents economic benefit estimates of air quality improvements in Europe that occur as a side effect of GHG emission reductions. We consider two climate policy scenarios from two representative concentration pathways (RCPs), in which radiative forcing levels are reached in 2100. The policy tool is a global uniform tax on all GHG emissions in the integrated assessment model WITCH. The resulting consumption patterns of fossil fuels are used to estimate the physical impacts and the economic benefits of pollution reductions on human health and on key assets by implementing the most advanced version of the ExternE methodology with its impact pathway analysis. The mitigation scenario compatible with (Formula presented.) (RCP 2.6) reduces total pollution costs in Europe by 84 %. Discounted cumulative ancillary benefits are equal to about €1.7 trillion between 2015 and 2100, or €17 per abated tonne of (Formula presented.) in Europe. The less strict climate policy scenario (RCP 4.5) generates benefits equal to €15.5 per abated tonne of (Formula presented.). Without discounting, the ancillary benefits are equal to €46 (RCP 2.6) and €51 (RCP 4.5) per tonne of (Formula presented.) abated. For both scenarios, the local benefits per tonne of (Formula presented.) decline over time and vary significantly across countries.
- The macroeconomics of climate policy: Investments and financial flows
November 2015© 2015, Centre for Economic Policy Research. All rights reserved.This chapter illustrates the plausible implications of climate mitigation policy on investments in power generation and on the energy sector in general. The chapter also discusses climate policy related financial flows. The goal is to inform policymakers about a wide range of macroeconomic effects of climate policy and on plausible investment needs in developed and developing countries.
- Heat Waves, Cold Waves, Droughts, Tornadoes, Storms: How Do They Affect United States Agricultural Land Values?
- Migration and Climate Change in Rural Africa
- A Ricardian Analysis of the Impact of Climate Change on European Agriculture
March 2016© 2016 Springer Science+Business Media DordrechtThis research estimates the impact of climate on European agriculture using a continental scale Ricardian analysis. Climate, soil, geography and regional socio-economic variables are matched with farm level data from 41,030 farms across Western Europe. We demonstrate that a median quantile regression outperforms OLS given farm level data. The results suggest that European farms are slightly more sensitive to warming than American farms with impacts from (Formula presented.)5 to (Formula presented.)32 % by 2100 depending on the climate scenario. Farms in Southern Europe are predicted to be particularly sensitive, suffering losses of (Formula presented.)5 to (Formula presented.)9 % per degree Celsius.