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Decomposition analysis of air pollutants during the transition and post-transition periods in the Czech Republic

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11230%2F21%3A10427588" target="_blank" >RIV/00216208:11230/21:10427588 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11690/21:10427588

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=8Gb.4_fcZJ" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=8Gb.4_fcZJ</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.rser.2021.111137" target="_blank" >10.1016/j.rser.2021.111137</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Decomposition analysis of air pollutants during the transition and post-transition periods in the Czech Republic

  • Original language description

    In index decomposition analysis, it is common to decompose changes in energy-related CO2 emissions to give the effects of five contributing factors. However, it is extremely challenging to derive the equivalent air pollutant emission coefficient by fuel type for air pollutants. As a result, air pollutant emissions have typically been decomposed into three factors, i.e. the scale, structure, and emission intensity factors. Using a unique facility-level dataset for the Czech Republic, we decompose air pollutant emissions into five factors, i.e. by decomposing the emission intensity effect further into the fuel-intensity, fuel-mix, and emission-fuel intensity factors. We use the Logarithmic Mean Divisia Index method to decompose annual changes in the emissions of four types of air quality pollutants stemming from large stationary emission sources. Our analysis covers the period 1990-2019, during which the Czech economy transited from a centrally-planned to a market economy and implemented strict environmental regulation to become a full member of the European Union. The emissions decreased substantially in the 1990s, remained then at stable levels, and declined again thereafter. Effects contributed to the changes are quantified. We also study how the results differ if one relies on the standard 3-factor decomposition and on a 4-factor analysis.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50201 - Economic Theory

Result continuities

  • Project

    <a href="/en/project/GA18-26714S" target="_blank" >GA18-26714S: Developing Hybrid Modelling Framework for Regulatory Impact Assessment: CGE-TIMES</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Renewable and Sustainable Energy Reviews

  • ISSN

    1364-0321

  • e-ISSN

  • Volume of the periodical

    145

  • Issue of the periodical within the volume

    July

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    13

  • Pages from-to

    1-13

  • UT code for WoS article

    000663168000010

  • EID of the result in the Scopus database

    2-s2.0-85105348101