Analysis of the degree to which the industry is affected by the epidemic based on the housing provident fund payment data

DOI

10.2991/assehr.k.201214.672How to use a DOI?

Keywords

Housing provident fund, data analysis, epidemic, industry

Abstract

Affected by the outbreak of the novel coronavirus pneumonia (COVID-19) in early 2020, the economy of all walks of life in China has been affected to varying degrees. To analyze the extent to which various industries in a certain provincial city(call it A city) are affected by the epidemic, this paper statistically analyzed the payment data of housing provident fund in A city over the last three years. According to the final time of paying the housing provident fund, the dataset is divided into the following three categories: the final payment time is after June 2020, the final payment time is January to May 2020, and the final payment time is before December 2019. It also conducts statistical analysis on the jump payment behavior, deferred payment behavior, number of employees, monthly payment, and other data in various segments in different industries, and finally explained the industries are affected by the epidemic and their impact.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xue Chen
AU  - Lan Zhang
AU  - Yang Song
AU  - Juan Liu
AU  - Cailing Zhang
AU  - Meilan Jiang
PY  - 2020
DA  - 2020/12/16
TI  - Analysis of the degree to which the industry is affected by the epidemic based on the housing provident fund payment data
BT  - Proceedings of the 2020 3rd International Conference on Humanities Education and Social Sciences (ICHESS 2020)
PB  - Atlantis Press
SP  - 1082
EP  - 1089
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201214.672
DO  - 10.2991/assehr.k.201214.672
ID  - Chen2020
ER  -