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  Structural change scenarios within the SSP framework

Leimbach, M., Marcolino, M. A., Koch, J. (2023): Structural change scenarios within the SSP framework. - Futures, 150, 103156.
https://doi.org/10.1016/j.futures.2023.103156

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https://doi.org/10.5281/zenodo.7433139 (Supplementary material)
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 Creators:
Leimbach, Marian1, Author           
Marcolino, Marcos Araujo1, Author           
Koch, Johannes1, Author           
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: Shared socio-economic pathway (SSP) scenarios represent a consistent set of socioeconomic assumptions and a major input of Integrated Assessment Models on climate change. This study added a driver that is missing so far in the SSP framework
- the evolution of the sectoral structure of economies. A newly constructed set of
structural change scenarios is presented. These structural change scenarios represent a well-known characteristic that accompanies the process of economic growth
and development - the reallocation of economic activity between the three major
sectors agriculture, manufacturing and services. While we construct scenarios for
the sectoral shares of labor, value-added and energy based on historical data and an
econometric approach, which comes with some limitation, these scenarios are linked
to the SSP GDP scenarios and hence implicitly capture properties of the narratives
underlying them. We find that the pattern and speed of structural change differ
under different SSPs. Moreover, while the scenarios for developing countries reproduce structural change patterns (e.g., hump-shape of manufacturing labor share),
observed for developed countries in the past, the projected transformation, in particular the reduction of labor shares in the agricultural sector, represents a tremendous
challenge.

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Language(s): eng - English
 Dates: 2023-04-032023-04-132023-06
 Publication Status: Finally published
 Pages: 42
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.futures.2023.103156
Organisational keyword: RD3 - Transformation Pathways
PIKDOMAIN: RD3 - Transformation Pathways
Research topic keyword: Economics
Regional keyword: Global
Model / method: Quantitative Methods
MDB-ID: No MDB - stored outside PIK (see DOI)
Working Group: Macroeconomic modeling of climate change mitigation and impacts
 Degree: -

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Title: Futures
Source Genre: Journal, SSCI, Scopus
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Pages: - Volume / Issue: 150 Sequence Number: 103156 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1873-6378
Publisher: Elsevier