Future growth patterns of world regions – A GDP scenario approach

Abstract Global GDP projections for the 21st century are needed for the exploration of long-term global environmental problems, in particular climate change. Greenhouse gas emissions as well as climate change mitigation and adaption capacities strongly depend on growth of per capita income. However, long-term economic projections are highly uncertain. This paper provides five new long-term economic scenarios as part of the newly developed shared socio-economic pathways (SSPs) which represent a set of widely diverging narratives. A method of GDP scenario building is presented that is based on assumptions about technological progress, and human and physical capital formation as major drivers of long-term GDP per capita growth. The impact of these drivers differs significantly between different shared socio-economic pathways and is traced back to the underlying narratives and the associated population and education scenarios. In a highly fragmented world, technological and knowledge spillovers are low. Hence, the growth impact of technological progress and human capital is comparatively low, and per capita income diverges between world regions. These factors play a much larger role in globalization scenarios, leading to higher economic growth and stronger convergence between world regions. At the global average, per capita GDP is projected to grow annually in a range between 1.0% (SSP3) and 2.8% (SSP5) from 2010 to 2100. While this covers a large portion of variety in future global economic growth projections, plausible lower and higher growth projections may still be conceivable. The GDP projections are put into the context of historic patterns of economic growth (stylized facts), and their sensitivity to key assumptions is explored.

[1]  Jean Chateau,et al.  Long-term economic growth projections in the Shared Socioeconomic Pathways , 2017 .

[2]  Pierre Desprairies,et al.  World Energy Outlook , 1977 .

[3]  Aie World Energy Outlook 2009 , 2000 .

[4]  J. Mccombie,et al.  Economic Growth and the Balance-of-Payments Constraint , 1993 .

[5]  Simon Johnson,et al.  Chapter 6 Institutions as a Fundamental Cause of Long-Run Growth , 2005 .

[6]  E. Kemp-Benedict Downscaling global income scenarios assuming institutional convergence or divergence , 2012 .

[7]  P. Romer Endogenous Technological Change , 1989, Journal of Political Economy.

[8]  Arjan Lejour,et al.  Worldscan; a model for international economic policy analysis , 2006 .

[9]  N. Kaldor Capital Accumulation and Economic Growth , 1961 .

[10]  David L. Dollar Outward-Oriented Developing Economies Really Do Grow More Rapidly: Evidence from 95 LDCs, 1976-1985 , 1992, Economic Development and Cultural Change.

[11]  R. Barro,et al.  A New Data Set of Educational Attainment in the World, 1950-2010 , 2010 .

[12]  R. Lucas On the Mechanics of Economic Development , 1988 .

[13]  Jesus Crespo Cuaresma,et al.  Income projections for climate change research: A framework based on human capital dynamics , 2017 .

[14]  William Easterly Reliving the 1950s: the big push, poverty traps, and takeoffs in economic development , 2006 .

[15]  W. Easterly Economic stagnation, fixed factors, and policy thresholds , 1994 .

[16]  G. Psacharopoulos Returns to investment in education: A global update , 1994 .

[17]  R. King Capital fundamentalism, economic development, and economic growth , 1994 .

[18]  Alexei G. Sankovski,et al.  Special report on emissions scenarios , 2000 .

[19]  Wolfgang Lutz,et al.  The human core of the shared socioeconomic pathways: Population scenarios by age, sex and level of education for all countries to 2100 , 2017, Global environmental change : human and policy dimensions.

[20]  S. Durlauf A theory of persistent income inequality , 1992 .

[21]  James A. Robinson,et al.  Institutions as a Fundamental Cause of Long-Run Growth , 2005 .

[22]  David Autor,et al.  Skills, Tasks and Technologies: Implications for Employment and Earnings , 2010 .

[23]  Mark Setterfield,et al.  What is Endogenous Growth Theory , 2007 .

[24]  K. Riahi,et al.  The roads ahead: Narratives for shared socioeconomic pathways describing world futures in the 21st century , 2017 .

[25]  Moses Abramovitz,et al.  Resources and Output Trends in the United States since 1870. , 1957 .

[26]  Oded Galor,et al.  Convergence ? : Inferences from Theoretical Models , 2017 .

[27]  Dani Rodrik,et al.  Unconditional Convergence in Manufacturing , 2013 .

[28]  C. I. Jones,et al.  The New Kaldor Facts: Ideas, Institutions, Population, and Human Capital , 2009 .

[29]  R. Solow TECHNICAL CHANGE AND THE AGGREGATE PRODUCTION FUNCTION , 1957 .

[30]  Giovanni Dosi,et al.  Hierarchies, markets and power: Some foundational issues on the nature of contemporary economic organizations , 1995 .

[31]  D. Weil,et al.  A Contribution to the Empirics of Economic Growth Author ( s ) : , 2008 .

[32]  Keywan Riahi,et al.  A new scenario framework for climate change research: the concept of shared socioeconomic pathways , 2013, Climatic Change.

[33]  D. Pearce,et al.  Climate change scenarios and long term projections , 2009 .

[34]  Lant Pritchett,et al.  Divergence, big time , 1997 .

[35]  Danny Quah,et al.  Empirics for economic growth and convergence , 1996 .

[36]  Keywan Riahi,et al.  A new scenario framework for Climate Change Research: scenario matrix architecture , 2014, Climatic Change.

[37]  G. Dosi,et al.  The Process of Economic Development: Introducing Some Stylized Facts and Theories on Technologies, Firms and Institutions , 1994 .