Cited by 894Economic Growth and ProductivityClimate Change Policy and EconomicsEnergy, Environment, Economic Growth

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Long-term economic growth projections in the Shared Socioeconomic Pathways

Dellink, Rob, Chateau, Jean, Lanzi, Elisa, Magné, Bertrand·2017·Global Environmental Change

DOI 10.1016/j.gloenvcha.2015.06.004

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A contribution to the theory of economic growth
Solow, R. M. (1956) · The Quarterly Journal of Economics · doi:10.2307/1884513 · Cited by 24,483
A Contribution to the Empirics of Economic Growth
Mankiw, N. G., Römer, D., & Weil, D. N. (1992) · The Quarterly Journal of Economics · doi:10.2307/2118477 · Cited by 15,282
Why do Some Countries Produce So Much More Output Per Worker than Others?
Hall, R. E., & Jones, C. I. (1999) · The Quarterly Journal of Economics · doi:10.1162/003355399555954 · Cited by 8,336
World Energy Outlook
Thring, M. W. (1977) · Electronics and Power · doi:10.1049/ep.1977.0180 · Cited by 7,338
The next generation of scenarios for climate change research and assessment
Moss, R. H., Edmonds, J. A., Hibbard, K. A., Manning, M. R., Rose, S. K., van Vuuren, D. P., Carter, T. R., Emori, S., Kainuma, M., Kram, T., et al. (2010) · Nature · doi:10.1038/nature08823 · Cited by 6,467
BP Statistical Review of World Energy
Gurney, J. (1985) · Journal of Policy Analysis and Management · doi:10.2307/3324639 · Cited by 6,313
Econometric policy evaluation: A critique
Lucas, R. E. (1976) · Carnegie-Rochester Conference Series on Public Policy · doi:10.1016/s0167-2231(76)80003-6 · Cited by 6,110
A new scenario framework for climate change research: the concept of shared socioeconomic pathways
O’Neill, B. C., Kriegler, E., Riahi, K., Ebi, K. L., Hallegatte, S., Carter, T. R., Mathur, R., & van Vuuren, D. P. (2014) · Climatic Change · doi:10.1007/s10584-013-0905-2 · Cited by 2,716
Openness, Productivity and Growth: What Do We Really Know?
Edwards, S. (1997) · The Economic Journal · doi:10.1111/1468-0297.00293 · Cited by 2,383
Inequality Among World Citizens: 1820–1992
Bourguignon, F., & Morrisson, C. (2002) · American Economic Review · doi:10.1257/00028280260344443 · Cited by 1,477

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“Recently, a comprehensive simulation to project future global energy use, including hydropower, was conducted using the framework of representative concentration pathways (RCPs) and shared socioeconomic pathways (SSPs: Dellink et al. 2017; KC and Lutz 2017; O’Neill et al. 2014).”
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“Future projections for GDP and population are taken from the SSP database described in Section 2 (Duval and de la Maisonneuve, 2010; KC and Lutz, 2014; Dellink et al., 2015; Riahi et al., 2017); those for precipitations are available in the GAEZ database.”
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Result
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Background
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Background
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Self-citation

Authors: Dellink, R., Chateau, J., Lanzi, E., & Magné, B.
Affiliations: Organisation de Coopération et de Développement Economiques (FR)
Corresponding author: Dellink, Rob
ORCID: Dellink, Rob
Lanzi, Elisa
Venue: Global Environmental Change
Publisher: Elsevier BV
Published: 2017-01
Volume: 42
Pages: 200-214
ISSN: 0959-3780 (ISSN-L)
DOI: 10.1016/j.gloenvcha.2015.06.004
OpenAlex: W793980422
Cited by: 893
References: 36
Citations by year: 2026: 50 · 2025: 92 · 2024: 121 · 2023: 106 · 2022: 117 · 2021: 129 · 2020: 69 · 2019: 85 · 2018: 56 · 2017: 37
FWCI: 93.18
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Global Environmental Change (publishedVersion)
Topics: Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Growth and Productivity
Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Energy, Environment, Economic Growth
Keywords: Shared Socioeconomic Pathways, GDP per capita, convergence, total factor productivity, population growth, physical capital, employment, human capital, fossil fuel resources, energy resources, economic crisis

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Long-term economic growth projections in the Shared Socioeconomic Pathways

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