It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Future economic growth will affect societal well-being and the environment, but is uncertain. We describe a multidecadal pattern of gross domestic product (GDP) per capita growth rising, then declining, as regions become richer. An empirically fitted differential-equation model and an integrated assessment model—International Futures—accounting for this pattern both predict 21st-century economic outlooks with slow growth and income convergence compared to the Shared Socioeconomic Pathways, similar to SSP4 (“Inequality”). For World Bank income groups, the differential-equation model could have produced, from 1980, consistent projections of 2100 GDP per capita, and more accurate predictions of 2010s growth rates than the International Monetary Fund’s short-term forecasts. Both forecasts were positively biased for the low-income group. SSP4 might therefore represent a best-case—not worst-case—scenario for 21st-century economic growth and income convergence. International Futures projects high poverty and population growth, and moderate energy demands and carbon dioxide emissions, within the Shared Socioeconomic Pathway range.
Socioeconomic scenarios with persistent inequality like that projected in SSP4 may represent best-case rather than worst-case scenarios for economic growth and income convergence in the 21st century, suggest differential-equation modelling and an integrated assessment model.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details




1 University of Colorado Boulder, Center for Social and Environmental Futures, Cooperative Institute for Research in Environmental Sciences, Boulder, USA (GRID:grid.266190.a) (ISNI:0000000096214564); University of Colorado Boulder, Department of Environmental Studies, Boulder, USA (GRID:grid.266190.a) (ISNI:0000000096214564); University of Colorado Boulder, Department of Economics, Boulder, USA (GRID:grid.266190.a) (ISNI:0000000096214564)
2 University of Colorado Boulder, Center for Social and Environmental Futures, Cooperative Institute for Research in Environmental Sciences, Boulder, USA (GRID:grid.266190.a) (ISNI:0000000096214564); University of Colorado Boulder, Department of Environmental Studies, Boulder, USA (GRID:grid.266190.a) (ISNI:0000000096214564)
3 University of Denver, Frederick S. Pardee Center for International Futures, Josef Korbel School of International Studies, Denver, USA (GRID:grid.266239.a) (ISNI:0000 0001 2165 7675)
4 University of Minnesota, Department of Ecology, Evolution and Behavior, St. Paul, USA (GRID:grid.17635.36) (ISNI:0000000419368657); University of California Santa Barbara, Bren School of Environmental Science and Management, Santa Barbara, USA (GRID:grid.133342.4) (ISNI:0000 0004 1936 9676)