We invite you to a seminar in the Conference Room at FBE on Wednesday, October 30, 2024, from 9:00 AM to 1:00 PM on Socioeconomic Projections for Climate Change Research and Socioeconomic Scenarios and Climate Change: Methodological Approaches.
The lecture will be delivered by Jesús Crespo Cuaresma, Professor of Macroeconomics at WU Vienna University of Economics and Business. Below are the abstracts for both parts:
- Socioeconomic projections for climate change research
This lecture introduces the theoretical framework behind the income and poverty projections employed in the context of the so-called Shared Socioeconomic Pathways (SSPs). The SSPs are employed by the Intergovernmental Panel on Climate Change to frame scenarios for future socioeconomic developments at the global level and combine projections of demographic and economic variables.
- Socioeconomic scenarios and climatic change: Methodological approaches
This lecture presents the existing methodologies employed to create long-run internally consistent projections of GDP per capita, absolute poverty, and institutional variables for climate change research. We emphasize the importance of assessing model uncertainty in conditional predictions of socioeconomic variables.
Please register your attendance using the link here.
Prof. Cuaresma primarily publishes in Economics, Environmental Sciences, Management, Social Sciences, Mathematical Methods, and Business Finance.
- Number of records in Web of Science: 117
- Number of citations in Web of Science: 4675
- H-index: 30
Prof. Jesús Crespo Cuaresma has worked or is currently working at the following institutions:
– Vienna University of Economics and Business (WU)
– Scientific consultant to the World Bank
– Austrian Institute of Economic Research
– Wittgenstein Centre for Demography and Global Human Capital
– Austrian Institute of Economic Research (WIFO)
– International Institute for Applied Systems Analysis (IIASA)
– Norwegian School of Economics (NHH)
– University of Innsbruck
– Masaryk University
– World Data Lab WDL
– Austrian National Bank
– University of the Philippines Manila