The data set of socio-economic vulnerability parameters in the agricultural and pastoral areas of the Qinghai Tibet Plateau mainly contains the socio-economic vulnerability parameter data at county level. The data time range is from 2000 to 2015, involving 112 counties and districts in Qinghai Province and Tibet Autonomous Region. The main parameters include population density, the proportion of unit employees in the total population, the proportion of rural employees in the total population, the proportion of agricultural, forestry, animal husbandry and fishery employees in rural employees, per capita GDP, per capita savings balance of residents, per capita cultivated land area, per capita grain output, and people Average oil production, livestock stock per unit area, per capita meat production, the proportion of primary and secondary school students in the total population, and the number of hospital beds per 10000 people. The entropy weight method is used to calculate the weight of each index, and ArcGIS is used to spatialize, and finally the county scale socio-economic vulnerability parameter data is obtained. The original data is from the statistical yearbook of Qinghai Province and Tibet Autonomous Region. The data are expressed by shape file and excel file. This data set will provide reference for socio-economic vulnerability assessment and selection of typical agricultural and pastoral areas.
File name: the data is stored in SHP format, and the file name is "SV"_ QTP_ 2000_ Among them, SV stands for social and economic vulnerability, QTP stands for Qinghai Tibet Plateau, 2000_ 2015 is the year.
Data reading mode: the data set can be opened directly by ArcGIS.
ZHAN Jinyan, TENG Yanmin, LIU Shiliang. Data set of socio-economic vulnerability parameters in agricultural and pastoral areas of Qinghai Tibet Plateau (2000-2015). National Tibetan Plateau Data Center, 2020. doi: 10.11888/Socioeco.tpdc.271016. (Download the reference： RIS | Bibtex )
Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.
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| East: 104.67 | West: 73.45 |
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| South: 25.99 | North: 39.83 |
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