This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Which Households Are Most Distant from Health Centers in Rural China? Evidence from a GIS Network Analysis

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
John Gibson () (University of Waikato)
Xiangzheng Deng (Chinese Academy of Sciences)
Geua Boe-Gibson (University of Waikato)
Scott Rozelle
Jikun Huang

Additional information is available for the following registered author(s):

Abstract

In this paper we have two objectives - one empirical; one methodological. Although China’s leaders are beginning to pay attention to health care in rural China, there are still concerns about access to health services. To examine this issue, we use measures of travel distances to health services to examine the nature of coverage in Shaanxi Province, our case study. The mean distance by road to the nearest health center is still more than 6 kilometers. When we use thresholds for access of 5 and 10 kilometers we find that more than 40 (15) percent of the rural population lives outside of these 5 (10) kilometer service areas for health centers. The nature of the access differs by geographical region and demographic composition of the household. The methodological contribution of our paper originates from a key feature of our analysis in which we use Geographic Information System (GIS) network analysis methods to measure traveling distance along the road network. We compare these measures to straight-line distance measures. Road distances (produced by network analysis) produce measures (using means) that are nearly twice as great as straight-line distances. Moreover, the errors in the measures (that is, the difference between road distances and straight-line distances) are not random. Therefore, traditional econometric methods of ameliorating the effects of measurement errors, such as instrument variables regression, will not produce consistent results when used with straight-line distances.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. 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: ftp://mngt.waikato.ac.nz/RePEc/wai/econwp/0819.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by University of Waikato, Department of Economics in its series Working Papers in Economics with number 08/19.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 18 pages
Date of creation: 31 Dec 2008
Date of revision:
Handle: RePEc:wai:econwp:08/19

Contact details of provider:
Postal: Private Bag 3105, Hamilton, New Zealand
Phone: 64 7 838 4045 (Administrator)
Fax: 64 7 838 4331
Web page: http://www.mngt.waikato.ac.nz/econ
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Brian Silverstone).

Related research
Keywords: health access; measurement error; network analysis;

Find related papers by JEL classification:
I12 - Health, Education, and Welfare - - Health - - - Health Production
O15 - Economic Development, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

This paper has been announced in the following NEP Reports:

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.:
  1. John Gibson & David McKenzie, 2007. "Using the Global Positioning System (GPS) in Household Surveys For Better Economics and Better Policy," Working Papers in Economics 07/04, University of Waikato, Department of Economics. [Downloadable!]
  2. Javier Escobal & Sonia Laszlo, 2008. "Measurement Error in Access to Markets," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(2), pages 209-243, 04. [Downloadable!] (restricted)
    Other versions:
  3. Ravallion, Martin & Chen, Shaohua, 2007. "China's (uneven) progress against poverty," Journal of Development Economics, Elsevier, vol. 82(1), pages 1-42, January. [Downloadable!] (restricted)
    Other versions:
Full references

Statistics
Access and download statistics

Did you know? Apart from a small start up grant in the 1990's, RePEc has received no funding and lives on the help of volunteers.

This page was last updated on 2009-12-2.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.