IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this paper

Land Productivity and Economic Development: Caloric Suitability vs. Agricultural Suitability

Listed author(s):
  • Oded Galor
  • Omer Ozak

This paper establishes that the Caloric Suitability Index (CSI) dominates the commonly used measure of agricultural suitability in the examination of the effect of land productivity on comparative economic development. The analysis demonstrates that the agricultural suitability index does not capture the large variation in the potential caloric yield across equally suitable land, reflecting the fact that land suitable for agriculture is not necessarily suitable for the most caloric-intensive crops. Hence, in light of the instrumental role played by caloric yield in sustaining and supporting population growth, and given importance of pre-industrial population density for the subsequent course of economic development, the Caloric Suitability Index dominates the conventional measure in capturing the effect of land productivity on pre-colonial population density and the subsequent course of economic development.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.brown.edu/academics/economics/sites/brown.edu.academics.economics/files/uploads/2015-5_paper_0.pdf
Download Restriction: no

Paper provided by Brown University, Department of Economics in its series Working Papers with number 2015-5.

as
in new window

Length:
Date of creation: 2015
Handle: RePEc:bro:econwp:2015-5
Contact details of provider: Postal:
Department of Economics, Brown University, Providence, RI 02912

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as
in new window


  1. Oded Galor & Ömer Özak, 2016. "The Agricultural Origins of Time Preference," American Economic Review, American Economic Association, vol. 106(10), pages 3064-3103, October.
  2. Ashraf, Quamrul & Galor, Oded, 2008. "Dynamics and Stagnation in the Malthusian Epoch: Theory and Evidence," CEPR Discussion Papers 7057, C.E.P.R. Discussion Papers.
  3. Quamrul Ashraf & Oded Galor, 2011. "Dynamics and Stagnation in the Malthusian Epoch," American Economic Review, American Economic Association, vol. 101(5), pages 2003-2041, August.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:bro:econwp:2015-5. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Brown Economics Webmaster)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.