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China-A Dataset, County-Level Units 1990

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title China-A Dataset, County-Level Units 1990
 
Identifier https://doi.org/10.7910/DVN/BW68TU
 
Creator G. W. Skinner
Mark Henderson
 
Publisher Harvard Dataverse
 
Description The ChinaA Datasets combine the raw geographical units and the essential county-level unit variables used for Skinner's 1990 China Regional Systems analysis. ChinaA MQ Dataset is composed of the ChinaA MQ (Merged Qu) geographic units that have been joined to tabular data compiled from the 1990 Census variables. ChinaA AVARS Dataset containst the analytical variables, based on various calculations using the raw census variables. Related Tables: Six tables (one for each of the GIS data layers) are included in this dataset. Note th
at the tables contain 3,725 rows, while the GIS layers contain only 2,434 Merged Qu geographic units. The greater number of rows in the tables are due to the way in which the Merged Qu were combined from other units. In other words, the table will contain all the Qu (urban district) units for a particular city, but the Skinner analysis subsequently merged some or all of these into a single aggregate, both in terms of data values and in terms of the area to which the aggregated values relate to in geographic space. Variables: the variables published here are a later revision of the ChinaA dataset published previously (in 1995) as CITAS County-level Units 1990. Note that the variables have in some cases been RENUMBERED, so that they no longer match those found in the CITAS version, as documented here: http://citas.csde.washington.edu/data/chinaA/gswa.htm Be sure to verify the written definition for analytical variables in the Codebook, and especially the original operands, (such as a624/a602) in the Raw Variables, to make sure that you are using the correct units and rates of measure. Codebook: ChinaA_code_manual_20120615.pdf
 
Date 2012-06-12
 
Contributor Lex Berman
 
Type census variables, demographics