IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

The spatial distribution of poverty in Vietnam and the potential for targeting

  • Minot, Nicholas
  • Baulch, Bob

This paper combines household survey and census data to construct a provincial poverty map of Vietnam and evaluate the accuracy of geographically targeted anti-poverty programs. First, the paper estimates per capita expenditure as a function of selected household and geographic characteristics using the 1998 Vietnam Living Standards Survey. Next, these results are combined with data on the same household characteristics from the 1999 Census to estimate the incidence of poverty in each province. The results indicate that rural poverty is concentrated in ten provinces in the Northern Uplands, two provinces of the central Highlands, and two provinces in the Central Coast. Finally, Receiver Operating Characteristics curves are used to evaluate the effectiveness of geographic targeting. The results show that the existing poor communes system excludes large numbers of poor people, but there is potential to sharpen poverty targeting using a small number of easy-to-measure household characteristics.

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.ifpri.org/sites/default/files/publications/mssdp42.pdf
Download Restriction: no

Paper provided by International Food Policy Research Institute (IFPRI) in its series MSSD discussion papers with number 42.

as
in new window

Length:
Date of creation: 2002
Date of revision:
Handle: RePEc:fpr:mssddp:42
Contact details of provider: Postal: 2033 K Street, NW, Washington, DC 20006
Phone: 202-862-5600
Fax: 202-467-4439
Web page: http://www.ifpri.org/
Email:


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.:

as in new window
  1. van de Walle, Dominique & Gunewardena, Dileni, 2001. "Sources of ethnic inequality in Viet Nam," Journal of Development Economics, Elsevier, vol. 65(1), pages 177-207, June.
  2. Baulch, Bob & Truong Thi Kim Chuyen & Haughton, Dominique & Haughton, Jonathan, 2002. "Ethnic minority development in Vietnam : a socioeconomic perspective," Policy Research Working Paper Series 2836, The World Bank.
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:fpr:mssddp:42. 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: ()

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.