IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

Technological Progress, Factor Endowments and Structural Change:A Note

Listed author(s):
  • Quibria, M.G
  • Srinivasan, T.N.

Economic development is accompanied by structural change. The trade theoretic literature offers two major hypotheses – i. e., the factor-endowment and the total-factor-productivity-- for explaining the stylized facts of structural change. This note revisits these hypotheses. In particular, it explores, with the help of a simple geometric apparatus, the analytical implications of the two hypotheses and draws out their striking similarities. It argues that although the literature has treated these two hypotheses as distinctly different, they are indeed analytically equivalent in the sense that they are both based on a similar type of shifts in the production functions. An important implication of this analytical equivalence is that, compounded with the data problems, it makes the task of empirical testing and discriminating between the two alternative hypotheses virtually impossible.

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:
File Function: original version
Download Restriction: no

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 25613.

in new window

Date of creation: Jul 2010
Publication status: Published in Bangladesh Development Studies Number 4.32(2009): pp. 95-103
Handle: RePEc:pra:mprapa:25613
Contact details of provider: Postal:
Ludwigstraße 33, D-80539 Munich, Germany

Phone: +49-(0)89-2180-2459
Fax: +49-(0)89-2180-992459
Web page:

More information through EDIRC

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.:

in new window

  1. L. Rachel Ngai & Christopher A. Pissarides, 2007. "Structural Change in a Multisector Model of Growth," American Economic Review, American Economic Association, vol. 97(1), pages 429-443, March.
  2. Irving B. Kravis & Robert E. Lipsey, 1982. "Towards an Explanation of National Price Levels," NBER Working Papers 1034, National Bureau of Economic Research, Inc.
  3. Quibria, M. G., 1990. "Note on international differences in service prices and some related empirical phenomena," Journal of Development Economics, Elsevier, vol. 33(2), pages 357-370, October.
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:pra:mprapa:25613. 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: (Joachim Winter)

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.