Biogeographical Conditions, the Transition to Agriculture and Long-Run Growth
AbstractWe use new data on the timing of the transition to agriculture, developed by Putterman and Trainor (2006), to test the theory of Diamond (1997) and Olsson and Hibbs (2005) that an earlier transition is reflected in higher incomes today. Our results confirm the theory, even after controlling for institutional quality and other geographical factors. The date of transition is correlated with prehistoric biogeography (the availability of wild grasses and large domesticable animal species). The factors conducive to high per capita incomes today are good institutions, an early transition to agriculture, access to the sea and a low incidence of fatal malaria. Geographical influences have been at work in all of these proximate determinants of per capita income.
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Bibliographic InfoPaper provided by University of Nottingham, CREDIT in its series Discussion Papers with number 08/15.
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agriculture; geography; growth; institutions;
Other versions of this item:
- Bleaney, Michael & Dimico, Arcangelo, 2011. "Biogeographical conditions, the transition to agriculture and long-run growth," European Economic Review, Elsevier, vol. 55(7), pages 943-954.
- O11 - Economic Development, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
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- John Shea, 1997.
"Instrument Relevance in Multivariate Linear Models: A Simple Measure,"
The Review of Economics and Statistics,
MIT Press, vol. 79(2), pages 348-352, May.
- John Shea, 1996. "Instrument Relevance in Multivariate Linear Models: A Simple Measure," NBER Technical Working Papers 0193, National Bureau of Economic Research, Inc.
- Robert E. Hall & Charles I. Jones, 1999.
"Why Do Some Countries Produce So Much More Output per Worker than Others?,"
NBER Working Papers
6564, National Bureau of Economic Research, Inc.
- Robert E. Hall & Charles I. Jones, 1999. "Why Do Some Countries Produce So Much More Output Per Worker Than Others?," The Quarterly Journal of Economics, MIT Press, vol. 114(1), pages 83-116, February.
- Arvind Subramanian & Francesco Trebbi & Dani Rodrik, 2002. "Institutions Rule," IMF Working Papers 02/189, International Monetary Fund.
- David H. Romer & Jeffrey A. Frankel, 1999. "Does Trade Cause Growth?," American Economic Review, American Economic Association, vol. 89(3), pages 379-399, June.
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