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Institution

International Institute for Applied Systems Analysis

NonprofitLaxenburg, Austria
About: International Institute for Applied Systems Analysis is a nonprofit organization based out in Laxenburg, Austria. It is known for research contribution in the topics: Population & Greenhouse gas. The organization has 1369 authors who have published 5075 publications receiving 280467 citations. The organization is also known as: IIASA.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a spatially explicit optimization model is used to identify optimal locations where greenfield biogas plants could be installed and to determine the most economic and environmentally beneficial mix of conversion technologies and plant capacities.

81 citations

Journal ArticleDOI
TL;DR: In this article, the authors examine recent innovations in financial risk management that extend traditional public-private partnerships to include NGOs, international financial institutions and other donors, and examine three examples of extended partnerships: the Turkish Catastrophe Insurance Pool; the Andhra Pradesh microinsurance program and an index-based weather derivative for farmers facing drought in Malawi.

81 citations

Journal ArticleDOI
TL;DR: In this paper, satellite or other remotely sensed data can be used to provide independent estimates for emissions from power plants, highways, projects, cities, countries, or groups of countries.
Abstract: Can satellite or other remotely sensed data provide independent estimates - or even confirmation of existing estimates - for emissions from power plants, highways, projects, cities, countries, or groups of countries? The answer for now is no; estimates of emissions from fossil fuels are actually one of the best constrained pieces of data in analyzing the global carbon cycle.

81 citations

Journal ArticleDOI
TL;DR: In this paper, a review of a renewables-based technology in a specific policy context and additional insight is provided by employing a real options approach to investigate the specific characteristics of renewables and their associated uncertainties in a stylized setting taking explicitly into account market effects of investment decisions.
Abstract: Promoting renewable energy has been a key ingredient in energy policy seeking to de-carbonize the energy mix and will continue to do so in the future given the European Union's high ambitions to further curb carbon emissions. A wide range of instruments has been suggested and implemented in various countries of the EU. A prominent policy promoting investment in renewable technologies is the use of feed-in tariffs, which has worked well at large scale in, e.g. Germany, but which has only been implemented in a very limited way in countries such as the UK. Being subject to environmental uncertainties, however, renewables cannot be seen in isolation: while renewables-based technologies such as wind and solar energy, for example, suffer from uncertain loads depending on environmental conditions, hydropower allows for the storage of water for release at peak prices, which can be treated as a premium (partially) offsetting higher upfront investment costs. In addition, electricity prices will respond to changes in electric capacity in the market, which is often neglected in standard investment models of the electricity sector. This paper contributes to the existing literature in two ways: it provides a review of a renewables-based technology in a specific policy context and provides additional insight by employing a real options approach to investigate the specific characteristics of renewables and their associated uncertainties in a stylized setting taking explicitly into account market effects of investment decisions. The prices of the model are determined endogenously by the supply of electricity in the market and by exogenous electricity price uncertainty. The inclusion of market effects allows us to capture the full impact of public incentives for companies to invest into wind power and hydro pumped storage installations.

81 citations

Journal ArticleDOI
TL;DR: In this paper, the authors disaggregate past experience into different types, identifying three types of past experiences that are most relevant in terms of affecting response and test the relevance and importance of these three proposed types in an empirical context of warnings issued and response to these warning for two cyclonic events in India.
Abstract: In this paper, we seek to resolve the conflicting findings in literature about the effect of past hazard experience on response to warning. We find that different definitions of past experience in different studies are at the root of these conflicting findings. We disaggregate past experience into different types, identifying three types of past experiences that are most relevant in terms of affecting response. We test the relevance and importance of these three proposed types of past experience in an empirical context of warnings issued and response to these warning for two cyclonic events in India. We then provide the implications of the most relevant aspects of past hazard experience for emergency managers seeking to improve target audiences’ response to warning.

81 citations


Authors

Showing all 1418 results

NameH-indexPapersCitations
Martin A. Nowak14859194394
Paul J. Crutzen13046180651
Andreas Richter11076948262
David G. Streets10636442154
Drew Shindell10234049481
Wei Liu102292765228
Jean-Francois Lamarque10038555326
Frank Dentener9722058666
James W. Vaupel8943434286
Keywan Riahi8731858030
Larry W. Horowitz8525328706
Robert J. Scholes8425337019
Mark A. Sutton8342330716
Brian Walsh8223329589
Börje Johansson8287130985
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202360
202263
2021414
2020406
2019383
2018325