Country-Specific Market Impacts of Climate Change

By R. Mendelsohn, W. Morrison, M. Schlesinger, N. Andronova. 2000

443 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Global and Planetary Change, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/c421c73ffc99636d68482add3b6a8cb067ad27fe

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Citations in the corpus

Why Worry about Climate Change? A Research Agenda (2008, unknown): “In fact, some of the total cost estimates (Maddison, 2003; Mendelsohn et al., 2000a,b; Nordhaus, 2006; Rehdanz and Maddison, 2005) have yet to be used for marginal cost estimation, so that the empirical basis is actually smaller.”
Why economic dynamics matter in assessing climate change damages : illustration on extreme events (2007, background): “…the legitimacy of the very low percent of GDP losses estimated by the published assessments of climate change damages (e.g., Peck and Teisberg, 1992; Nordhaus, 1998; Mendelsohn et al., 2000; Tol, 2002a,b), and the consequently unambitious optimal abatement trajectories suggested by these studies.”
Equity Weighting and the Marginal Damage Costs of Climate Change (2009, unknown): “Regional temperature follows from multiplying the global mean temperature by a fixed factor, which corresponds to the spatial climate change pattern averaged over 14 GCMs (Mendelsohn et al., 2000).”
Estimating global impacts from climate change (2004, background): “While different GCMs can give a sense for the range of potential impacts within a single sector or in the context of a global impact model (Mendelsohn et al., 2000a), cross-sector evaluation of impacts generated by different regional climate scenarios is problematic.”
The Economic Effects of Climate Change (2009, background): “In this approach, estimates of the “physical effects” of climate change are obtained one by one from natural science papers, which in turn may be based on some combination of climate models, Note: Where available, estimates of the uncertainty are given in parentheses, either as standard deviations…”
The uncertainty about the social cost of carbon: A decomposition analysis using fund (2013, unknown): “Regional temperatures follow from multiplying the global mean temperature by a fixed factor, which corresponds to the spatial climate change pattern averaged over 14 General Circulation Models (Mendelsohn et al. 2000).”
The Marginal Damage Costs of Different Greenhouse Gases: An Application of FUND (2014, unknown): “Regional temperatures follow from multiplying the global mean temperature by a fixed factor, which corresponds to the spatial climate change pattern averaged over 14 GCMs (Mendelsohn et al. 2000).”
Infinite uncertainty, forgotten feedbacks, and cost-benefit analysis of climate policy (2007, background): “Regional temperature follows from multiplying the global mean temperature by a fixed factor, which corresponds to the spatial climate change pattern averaged over 14 GCMs ( Mendelsohn et al. 2000 ).”
Risk, Stress, and Capacity (2008, background): “Scholars note that the expected ecological, social, and economic impacts of climate change are geographically uneven (Mendelsohn, Nordhaus, and Shaw 1994; Mendelsohn et al. 2000).”
Estimating global damages from sea level rise with the Coastal Impact and Adaptation Model (CIAM) (2015, methodology): “Similarly, Yohe’s result has been integrated in the Global Impact Model (Mendelsohn et al, 2000).”