Income projections for climate change research: A framework based on human capital dynamics

By Jesús Crespo Cuaresma. 2017

291 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/ba16af8b6565e2c60eb79d7ed16872eaf4babc95

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

In Management, Monitoring, Policy and Law

Citations in the corpus

Future air pollution in the Shared Socio-economic Pathways (2017, methodology): “…by 2050 in all SSPs. Economic growth and the average income in ASIA in 2030 differs significantly across SSPs, with a low value of 10 billion US2005$ in SSSP3 and a high value of 28 billion US2005billion$ in SSP5 (see also (Crespo Cuaresma, 2017) for details on economic assumptions in SSPs).”
Projections of declining fluvial sediment delivery to major deltas worldwide in response to climate change and anthropogenic stress (2019, methodology): “Themodel used for producing the GNP data is based primarily on population demographics, productivity growth, physical capital accumulation, and country-specific factors (CrespoCuaresma 2015).”
The Effects of Climate Change on GDP by Country and the Global Economic Gains From Complying With the Paris Climate Accord (2018, unknown): “1164 As indicated above, we calculate world GDP in 2100 using 2017 world GDP in US$ (IMF, 2018, from the World Economic Outlook database) and economic growth from the corresponding SSPs (SSP1 for 2 ∘C, SSP2 for 3∘C and SSP5 for 4∘C; Crespo Cuaresma, 2017; International Institute for Applied Systems ”
The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview (2017, background): “…end, we present new SSP narratives (O ’ Neill et al., 2016a) and associated quantitative descriptions for key scenario drivers, such as population (KC and Lutz, 2016), economic growth (Crespo Cuaresma, 2016; Dellink et al., 2016; Leimbach et al., 2016), and urbanization (Jiang and O ’ Neill, 2016).”
The Shared Socio-economic Pathways : Trajectories for human development and global environmental change (2017, background): “…the SSP narratives (O’Neill et al., 2017), quantitative descriptions for key scenario drivers such as population (KC and Lutz, 2017), three alternative economic growth prospects (Crespo Cuaresma, 2017; Dellink et al., 2017; Leimbach et al., 2017), and urbanization (Jiang and O’Neill, 2017).”
Less Than 2 °C Warming by 2100 Unlikely (2017, unknown): “Our predictive distribution of future world GDP per capita largely spans the range of scenarios used by the IPCC 20–22 , although there are large differences on a country-by-country basis.”
Future growth patterns of world regions – A GDP scenario approach (2017, background): “According to the characterization as high, medium and low GDP growth scenario, we assumed a medium long-term TFP growth rate (gL) for the technological leader of 0.7% per year and an increase and decrease of this rate by 50% for the high growth and low growth scenario, respectively, i.e.: (I) S TF…”