Structural Modelling of the Relationship between the Vulnerability of Ukrainian Regions to COVID-19, Environmental Status and Factors of Readiness of the Medical System

O. Kuzmenko, M. Kashcha, Roman Marchenko
{"title":"Structural Modelling of the Relationship between the Vulnerability of Ukrainian Regions to COVID-19, Environmental Status and Factors of Readiness of the Medical System","authors":"O. Kuzmenko, M. Kashcha, Roman Marchenko","doi":"10.52566/msu-econ.8(2).2021.123-130","DOIUrl":null,"url":null,"abstract":"The division of the regions of Ukraine into “red”, “orange”, “yellow” and “green” zones are the consequences of the differentiated regional impact of the pandemic caused by the COVID-19 virus, but the reasons for such different vulnerabilities have not been clarified yet. The purpose of the study is to construct a system of regression equations containing implicit variables that are common characteristics of industries and help to analyse relationships in a complex system. The methodological tools of the study were: review of current scientific trends using VOSViewer 1.6.10, the main component method, which allows selecting the most significant factors and model with structural equations that reflect the relationship between the three areas of activity. 25 oblasts of Ukraine were selected as the object of the study, since they have different levels of vulnerability to the pandemic and can become a model for studying the regional differentiation of any country. The study presents the results of an empirical analysis of the structure of three areas of activity of the country. Modelling of structural equations to establish the relationship between the factors of vulnerability of the regions of Ukraine from the COVID-19 pandemic, the environmental state and the state of readiness of the medical system is carried out. It is theoretically substantiated that there is a direct connection between the studied areas: environmental, medical and epidemiological, and that deterioration in one industry leads to deterioration in another. The results obtained prove that it is possible to influence the differentiated course of the pandemic, but not after the event. A consistent increase in funding from the state budget for healthcare would have a greater effect, with sufficient financial support for environmental protection. The choice of state strategies must be approached comprehensively, because a narrow reform of the system, such as medical, will not give the maximum effect, without an innovative policy in the field of ecology","PeriodicalId":331060,"journal":{"name":"Scientific Bulletin of Mukachevo State University. Series «Economics»","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Bulletin of Mukachevo State University. Series «Economics»","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52566/msu-econ.8(2).2021.123-130","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

The division of the regions of Ukraine into “red”, “orange”, “yellow” and “green” zones are the consequences of the differentiated regional impact of the pandemic caused by the COVID-19 virus, but the reasons for such different vulnerabilities have not been clarified yet. The purpose of the study is to construct a system of regression equations containing implicit variables that are common characteristics of industries and help to analyse relationships in a complex system. The methodological tools of the study were: review of current scientific trends using VOSViewer 1.6.10, the main component method, which allows selecting the most significant factors and model with structural equations that reflect the relationship between the three areas of activity. 25 oblasts of Ukraine were selected as the object of the study, since they have different levels of vulnerability to the pandemic and can become a model for studying the regional differentiation of any country. The study presents the results of an empirical analysis of the structure of three areas of activity of the country. Modelling of structural equations to establish the relationship between the factors of vulnerability of the regions of Ukraine from the COVID-19 pandemic, the environmental state and the state of readiness of the medical system is carried out. It is theoretically substantiated that there is a direct connection between the studied areas: environmental, medical and epidemiological, and that deterioration in one industry leads to deterioration in another. The results obtained prove that it is possible to influence the differentiated course of the pandemic, but not after the event. A consistent increase in funding from the state budget for healthcare would have a greater effect, with sufficient financial support for environmental protection. The choice of state strategies must be approached comprehensively, because a narrow reform of the system, such as medical, will not give the maximum effect, without an innovative policy in the field of ecology
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
乌克兰地区对COVID-19的脆弱性、环境状况和医疗系统准备因素之间关系的结构建模
将乌克兰地区划分为“红色”、“橙色”、“黄色”和“绿色”区,是新冠肺炎疫情造成的不同地区影响的结果,但造成这种不同脆弱性的原因尚未明确。本研究的目的是建构一个包含隐含变数的回归方程系统,这些隐式变数是产业的共同特征,并有助于分析复杂系统中的关系。本研究的方法学工具是:使用VOSViewer 1.6.10对当前科学趋势进行回顾,主成分法可以选择最重要的因素,并用反映三个活动领域之间关系的结构方程建立模型。乌克兰的25个州被选为研究对象,因为它们对大流行病的脆弱性程度不同,可以成为研究任何国家区域差异的模型。该研究提出了对该国三个活动领域的结构进行实证分析的结果。对结构方程进行建模,以建立乌克兰地区受COVID-19大流行影响的脆弱性因素、环境状态和医疗系统准备状态之间的关系。从理论上证实,所研究的领域:环境、医疗和流行病学之间存在直接联系,一个行业的恶化导致另一个行业的恶化。获得的结果证明,有可能影响大流行的分化过程,但不能在事件发生后。从国家预算中持续增加医疗保健资金将产生更大的效果,同时为环境保护提供足够的财政支持。国家战略的选择必须综合考虑,因为如果没有生态领域的创新政策,医疗等体制的狭隘改革就不会产生最大的效果
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Using Baidu Index to Investigate the Spatiotemporal Characteristics of Knowledge Management in China Current Trends in Digital Transformation of Public Administration Perspectives of Implementing Agricultural Land Market in Ukraine within the Context of Reforms of Agrarian Sector Criterial Description of the Measurement of the Circular Bioeconomy Analysis of the Dynamics of Foreign Currency Exchange Rates in Ukraine Including Seasonality Factors and Demand for Domestic Government Loans Bonds (Over 5-10 Years)
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1