There are important interactions between climate and air quality strategies, and development, economic and social policy objectives. However, maximizing the potential co-benefits from these - well-documented - interactions poses a host of complex challenges to decision makers. Unless put into context, these interactions could not only prohibit a cost-effective solution to both problems, but also lead to important trade-offs that unnecessarily waste important resources.
Model analyses, based on latest scientific findings and validated data, can provide valuable information on the design of (cost-)effective strategies that meet multiple policy objectives and yield potentially large economic synergies.
With an interdisciplinary team of researchers, MAG builds innovative methodologies that bring together relevant insights from recent research on geo-physical and economic aspects of pollution control. The program develops advanced analytical tools to identify pollution control strategies that put least burden to the economy while maximizing a wide range of environmental benefits. Together with a network of collaborators, MAG uses these tools to inform international negotiations and national planners in different regions of the world.
Integrated model for robust emission trading under uncertainties: cost-effectiveness and environmental safety
Technological Forecasting and Social Change, Article in press (Published online 31 January 2014) More
Pursuing air pollutant co-benefits of CO2 mitigation in China: a provincial level analysis
Applied Energy, 144:165-174 (april 2015) (Published online 27 February 2015) More
Evaluation of black carbon emission inventories using a Lagrangian dispersion model - a case study over southern India
Atmospheric Chemistry and Physics, 15(3):1447-1461 (February 2015) More
Last edited: 17 April 2014
International Institute for Applied Systems Analysis (IIASA)
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