SSP long run scenarios for European NUTS2 regions
Wolfgang Britz,
Roberto Roson and
Martina Sartori
No 333114, Conference papers from Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project
Abstract:
In this paper we illustrate the development of a modeling framework aimed at producing detailed quantiative estimates for economic variables, consistent with Shared Socio-economic Pathways, and their assumptions about national income and population. Our model not only provides infomation on industrial production levels, employment, consumption patterns, trade _x001d_ows and other macroeconomic variables, but disaggregates them further at the sub-national level, for European NUTS2 regions. Estimates are produced by an especially designed dynamic general equilibrium model (G-RDEM), augmented with a regional down-scaling module. The latter takes into account the di_x001b_erent sectoral composition of the regional economies, their endowments of primary resources, as well as the possible existence of structural and agglomeration externalities. After illustrating the methodology, the paper provides a brief overview of SSP-consistent economic development scenarios produced for the European regions.
Keywords: Research; Methods/; Statistical; Methods (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://ageconsearch.umn.edu/record/333114/files/9383.pdf (application/pdf)
Related works:
Working Paper: SSP Long Run Scenarios for European NUTS2 Regions (2019) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ags:pugtwp:333114
Access Statistics for this paper
More papers in Conference papers from Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().