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CHINA_SPATDWM: Stata module to provide spatial distance matrices for Chinese provinces and cities

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Yihua Yu () (Renmin University of China)

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

Abstract

This package contains two Stata data files that are spatial distance weight matrices at the province and city level of mainland China, respectively. The province consists of 4 municipalities (Beijing, Tianjin, Chongqing, and Shanghai) and 5 autonomous regions (Xinjiang, Tibet, Ningxia, Inner Mongolia and Guangxi). The city covers three administrative levels (cities directly under the central government, sub-provincial cities and prefecture-level cities). The distance between any two provinces (or cities) is defined as the great circle distance. The files may be used with Pisati's tools for spatial distance analysis (spmap) and supplement Merryman's china_map package.

Download Info
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File URL: http://fmwww.bc.edu/repec/bocode/c/china_spatdwm.zip
File Format: application/zip
File Function: zipfile of Stata datafiles
Download Restriction: no

Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S457059.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Size:
Programming language: Stata
Requires: Stata version 9.2
Date of creation: 09 Jun 2009
Date of revision:
Handle: RePEc:boc:bocode:s457059

Note: This module may be installed from within Stata by typing "ssc install china_spatdwm". Windows users should not attempt to download these files with a web browser.
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Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Phone: 617-552-3670
Fax: +1-617-552-2308
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Web page: http://fmwww.bc.edu/EC/
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For technical questions regarding this item, or to correct its listing, contact: (Christopher F Baum).

Related research
Keywords: spatial analysis; map; China;

Statistics
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This page was last updated on 2009-12-10.


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