Distributional aspects of climate change impacts

By Richard S. J. Tol, Thomas E. Downing, Onno Kuik, Joel B. Smith. 2004

296 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management, Monitoring, Policy and Law

View Paper: https://www.semanticscholar.org/paper/ffc79a78f3aedbb6b38fe8364c7a238640ae11f3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Angela Druckman
2. S. Carattini
3. J. Paavola
4. Tim Jackson
5. W. Adger
6. A. Baranzini
7. Jordi Roca
8. K. O’Brien

In Management, Monitoring, Policy and Law

1. W. Adger
2. Angela Druckman
3. Tim Jackson
4. J. Paavola
5. Jordi Roca
6. K. O’Brien
7. T. Tanner
8. Richard B. Howarth

Citations in the corpus

• Fair adaptation to climate change (2006, background): “Some northern countries such as Russia are predicted to benefit from climate change while many developing countries are predicted to suffer greater relative losses (see Tol et al., 2004; Fankhauser and Tol, 1996).”
• Carbon pricing in climate policy: seven reasons, complementary instruments, and political economy considerations (2017, background): “For instance, many studies show that unmitigated climate change impacts would be unequal among countries and that poorest countries will be more affected than richer.(62) Paradoxically, carbon pricing provides an excellent instrument to address undesirable distributional consequences—notably if taki”
• Media attention for climate change around the world: A comparative analysis of newspaper coverage in 27 countries (2013, background): “This is due to geographical conditions, but also infrastructural factors and monetary or institutional capacities to accomplish adaptation measures play a role (Füssel, 2010; Tol et al., 2004; Nath 6 and Behera, 2010).”
• Vulnerability, poverty and the need for sustainable adaptation measures (2007, background): “One may be wealthy and vulnerable to climate change (e.g. living in high-risk, uninsured areas), or one may be poor and not vulnerable to climate change (e.g. able to use traditional knowledge to adapt to changing conditions) (Tol et al., 2004; Lind and Eriksen, 2006; Schipper and Pelling, 2006).”
• Measuring resource inequalities: The concepts and methodology for an area-based Gini coefficient (2008, background): “For example Tol et al (2004) developed a Gini coefficient for global climate change impacts.”
• Towards a New Political Economy of Climate Change and Development (2011, background): “…income inequalities, with commentators highlighting the unequal distribution of the impacts of climate change and the resulting inequity and unfairness given that poor people globally have contributed least to the problem (Adger et al. 2006; Kates 2000; Tol et al. 2004; Tanner and Mitchell 2008).”
• The Social Cost of Carbon and its Policy Implications (2003, unknown): “See Fankhauser et al. (1997) and Tol et al. (2003) for a discussion.”