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Shared Socio-economic pathways and global income distribution

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  • van der Mensbrugghe, Dominique

Abstract

New socio-economic pathways have been developed in the context of ongoing work for the Intergovernmental Panel on Climate Change (IPCC), starting with the Fifth Assessment Report (AR5). Economists, part of the Integrated Assessment Modeling Consortium (IAMC) and linked to the IPCC process, have been developing so-called shared socio-economic pathways (or SSPs) that are designed to span the spectrum of potential outcomes for the global economy along two broad axes—relating to the challenges of adaptation and mitigation respectively. Part of the storyline of the SSPs relates to relative developments of per capita incomes, i.e. different assumptions about processes of income convergence and divergence. To date, most of the analysis on income distribution has focused on the across country distribution of global GDP. The main purpose of this paper is to combine the across country analysis with within country assumptions about income distribution and to assess the implications for global and regional income distribution when populations are merged into larger entities. A focus on across country analysis provides a distorted picture of what the current distribution is and how it may evolve. Even in the most optimistic growth scenario, the degree of improvement in the Gini coefficient, one measure of global income distribution, is not nearly so great when taking into consideration within country distribution. This paper provides some insight into global income distribution taking into account differential macro growth rates as well as the changing within-country distribution. The main drivers—GDP and population—are taken from the publicly available database for the five SSP scenarios. The base distribution information is sourced from the World Bank’s Povcal website for developing countries and from the OECD for the OECD countries. The available country distributional data is used to calibrate parameterized distribution functions (e.g. log-normal). These latter are projected forward in time with assumptions about their evolution consistent with an interpretation of the SSP storylines. The parameterized distribution functions are then used to construct artificial household distributions for each country. These latter are then pooled in different regional aggregations, including a world aggregation, to assess implications for regional and global income distribution.

Suggested Citation

  • van der Mensbrugghe, Dominique, 2015. "Shared Socio-economic pathways and global income distribution," Conference papers 332567, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    • Handle: RePEc:ags:pugtwp:332567
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    References listed on IDEAS

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    1. Buhong Zheng, 1997. "Aggregate Poverty Measures," Journal of Economic Surveys, Wiley Blackwell, vol. 11(2), pages 123-162, June.
    2. Ravallion, Martin & Chen, Shaohua, 1997. "What Can New Survey Data Tell Us about Recent Changes in Distribution and Poverty?," The World Bank Economic Review, World Bank, vol. 11(2), pages 357-382, May.
    3. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    4. Wolfson, Michael C, 1994. "When Inequalities Diverge," American Economic Review, American Economic Association, vol. 84(2), pages 353-358, May.
    5. Brian O’Neill & Elmar Kriegler & Keywan Riahi & Kristie Ebi & Stephane Hallegatte & Timothy Carter & Ritu Mathur & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared socioeconomic pathways," Climatic Change, Springer, vol. 122(3), pages 387-400, February.
    6. Chateau, J. & Dellink, R. & Lanzi, E. & Magne, B., 2012. "Long-term economic growth and environmental pressure: reference scenarios for future global projections," Conference papers 332249, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    7. repec:bla:jecsur:v:11:y:1997:i:2:p:123-62 is not listed on IDEAS
    8. Ravallion, Martin & Chen, Shaohua, 2003. "Measuring pro-poor growth," Economics Letters, Elsevier, vol. 78(1), pages 93-99, January.
    9. Elmar Kriegler & Jae Edmonds & Stéphane Hallegatte & Kristie Ebi & Tom Kram & Keywan Riahi & Harald Winkler & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared climate policy assumptions," Climatic Change, Springer, vol. 122(3), pages 401-414, February.
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