Relationships between renewable energy and the prevalence of morbidity in the countries of the European Union: A panel regression approach

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F21%3A63530458" target="_blank" >RIV/70883521:28120/21:63530458 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/1660-4601/18/12/6548" target="_blank" >https://www.mdpi.com/1660-4601/18/12/6548</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/ijerph18126548" target="_blank" >10.3390/ijerph18126548</a>

Result language

angličtina

Original language name

Relationships between renewable energy and the prevalence of morbidity in the countries of the European Union: A panel regression approach

Original language description

The main objective of the presented study was to examine the associations between the use of renewable energy sources in selected sectors (transport, electricity, heating, and cooling) and the prevalence of selected groups of diseases in the European Union, with an emphasis on the application of statistical methods considering the structure of data. The analyses included data on 27 countries of the European Union from 2010 to 2019 published in the Eurostat database and the Global Burden of Disease Study. Panel regression models (pooling model, fixed (within) effects model, random effects model) were primarily used in analytical procedures, in which a panel variable was represented by countries. In most cases, positive and significant associations between the use of renewable energy sources and the prevalence of diseases were confirmed. The results of panel regression models could be generally interpreted as meaning that renewable energy sources are associated with the prevalence of diseases such as cardiovascular diseases, diabetes and kidney diseases, digestive diseases, musculoskeletal disorders, neoplasms, sense organ diseases, and skin and subcutaneous diseases at a significance level (α) of 0.05 and lower. These findings could be explained by the awareness of the health problem and the response in the form of preference for renewable energy sources. Regarding statistical methods used for country data or for data with a specific structure, it is recommended to use the methods that take this structure into account. The absence of these methods could lead to misleading conclusions.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

50201 - Economic Theory

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

International Journal of Environmental Research and Public Health

ISSN

1661-7827

e-ISSN

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Volume of the periodical

18

Issue of the periodical within the volume

12

Country of publishing house

CH - SWITZERLAND

Number of pages

18

Pages from-to

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UT code for WoS article

000665950900001

EID of the result in the Scopus database

2-s2.0-85107920944