Analysis of uneven distribution of diseases COVID-19 in the Czech Republic

被引：0
|
作者：
Hanousek, Jakub [1 ]
机构：
[1] Univ Economist & Business, Fac Informat & Stat, Dept Econometr, Winston Churchil Sq, Prague, Czech Republic
来源：
39TH INTERNATIONAL CONFERENCE ON MATHEMATICAL METHODS IN ECONOMICS (MME 2021) | 2021年
关键词：
COVID; 19; DEA; unwanted outputs;
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
The COVID - 19 pandemic affected more, or less each of us. The goal of this article is to measure regional uneven distribution in 77 districts in the Czech Republic. The data cover a period since March 2020 to March 2021 and comes from Institute of Health Information and Statistics of the Czech Republic. The regional variations are measured by dual DEA models with unwanted outputs. Data envelopment analysis is a method based on a linear programming that measure efficiency of production units. The advantage of this method is an optimalization weights of each criteria (inputs, outputs) to maximize a score from each unit. The production unit in this paper is a one region in the Czech Republic. There are 77 units. In order to stop the spread of disease, the Government of the Czech Republic applied national prohibitions. The results of this study show us that the regional variation of spread of diseases are huge. The regional prohibition probably would be preferable and more effective in this situation.
引用
收藏
页码：147 / 154
页数：8
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