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Property Insurance Market Analysis Dataset in Prefecture Level of China (2016)


WANG Xiangnan1
1 Institute of Finance and Banking,Chinese Academy of Social Sciences,Beijing 100028,China

DOI:10.3974/geodb.2018.05.14.V1

Published:Sep. 2018

Visitors:4958       Data Files Downloaded:131      
Data Downloaded:2872.60 MB      Citations:

Key Words:

prefectures of China,property insurance,firm structure,product structure,Acta Geographica Sinica

Abstract:

Based on the Insurance Year Book of China and Cities Statistics Year Book of China (1999, 2017) as well as a series of references about the annual reports from insurance companies, the Property Insurance Market Analysis Dataset in Prefecture Level of China (2016) was developed. The dataset is consisted of: (1) overall development of property insurance market in prefecture level areas of China in 2016; (2) payment level of property insurance market in prefecture level areas of China in 2016; (3) firm structure of property insurance market in prefecture level areas of China in 2016; (4) product structure of property insurance market in prefecture level areas of China in 2016; (5) spatial variation of property insurance market of China in 2016. The dataset is archived in .xlsx data format with data size of 21.9 MB in one data file. The analysis paper based on the dataset was published at the journal of Acta Geographica Sinica, Vol.72, No.8, 2017.

Foundation Item:

National Social Science Foundation of China (18CJY063)

Data Citation:

WANG Xiangnan.Property Insurance Market Analysis Dataset in Prefecture Level of China (2016)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2018. https://doi.org/10.3974/geodb.2018.05.14.V1.

Data Product:

ID Data Name Data Size Operation
1 PropertyInsuranceMarketAnalysisChina2016.xlsx 22454.51KB
Co-Sponsors

Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

The Geographical Society of China

Parteners

Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

Digital Linchao GeoMuseum