Exploring policy options with a behavioral climate–economy model

By Thomas Fiddaman. 2002

182 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/2f73ac54632daff69aec8d78911f681dc4684181

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Citations in the corpus

Global water resources modeling with an integrated model of the social-economic-environmental system (2011, background): “System dynamics has been applied successfully to water resources systems at catchment to global and daily to annual scales [94,100,35,61,64,107,110,14], climate change and energy-economy modeling [39,31,40,23], and a variety of real-world problems related to policy analysis, economics, biology, medi”
Complexity and the Economics of Climate Change: A Survey and a Look Forward (2017, unknown): “In recent years, a variety of models have been developed to test policy intervention in a world characterized by non-linear dynamics within the climate system (Mastrandrea and Schneider, 2001; Fiddaman, 2002; Sterman et al., 2012, 2013), the economic system (Monasterolo and Raberto, 2016) or both (A”
Fossil fuel depletion and socio-economic scenarios: An integrated approach (2014, unknown): “…models, most focusing on climate change analysis, have been developed (e.g. MESSAGE (Nakicenovic and Riahi, 2003), IMAGE (Bouwman et al., 2006), MERGE (Manne and Richels, 2004), etc.), some based on system dynamics (Bassi and Shilling, 2010; Davies and Simonovic, 2010; Fiddaman, 2002).”
Models for policy-making in sustainable development: The state of the art and perspectives for research (2005, background): “However, systems dynamic models have many applications in management sciences (Sterman, 2000), and in climate and energy policy (Fiddaman, 2002).”
System dynamics modeling for renewable energy and CO2 emissions: A case study of Ecuador (2014, methodology): “According to this identity, CO2 emissions of a given country are broken down into the product of four factors: carbon intensity (defined as the CO2 emitted per unit of energy consumed), energy intensity (defined as the consumed energy per unit of GDP), economic rent (defined as GDP per capita), and ”
Improving behavioral realism in hybrid energy-economy models using discrete choice studies of personal transportation decisions (2005, background): “Some examples of existing attempts include Manne and Richels (1994) and Fiddaman (2002), but their work has had minimal empirical basis and has not looked at behavioral sources of uncertainty.”
Understanding public complacency about climate change: adults’ mental models of climate change violate conservation of matter (2007, unknown): “…and non-carbon energy sources are implemented, existing stocks of GHG-generating capital (automobiles, industrial plant and equipment, housing, infrastructure) are only gradually replaced or retrofitted, while noncarbon alternatives are only gradually developed and deployed (Fiddaman, 2002).”