Predicting structural changes of the energy sector in an input-output framework
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14230%2F23%3A00132042" target="_blank" >RIV/00216224:14230/23:00132042 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S036054422203064X" target="_blank" >https://www.sciencedirect.com/science/article/pii/S036054422203064X</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.energy.2022.126178" target="_blank" >10.1016/j.energy.2022.126178</a>
Alternative languages
Result language
angličtina
Original language name
Predicting structural changes of the energy sector in an input-output framework
Original language description
The share of renewable energies has to increase significantly in the ongoing energy transition. Such a shift in production technology is expected to have noticeable effects on the energy sector's input structure that is required for its output. This study examines how changes in a country's energy mix affect its energy sector's input coefficients within an input-output framework, using Austria's renewable expansion act as a case study. Predicting input coefficients can be time-consuming and often relies on trends in past data. Our empirical approach is based on a fractional econometric model using panel data on the energy mix and input structures of energy sectors for 26 European countries, and can be efficiently and readily applied to the 26 countries covered in the model. We illustrate the prediction of input coefficients for Austria's energy sector in 2030. We find that input shares from the energy sector to itself would remain high, while mining inputs would decrease. Our model also predicts that increasing the share of renewable energy sources comes with a significant decrease in the share of labor inputs, mainly because operating renewable energy technologies requires less labor than operating non-renewable ones. The presented method allows to assess renewable energy policy plans to anticipate the effects of structural changes in national energy sectors.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Energy
ISSN
0360-5442
e-ISSN
1873-6785
Volume of the periodical
265
Issue of the periodical within the volume
February
Country of publishing house
GB - UNITED KINGDOM
Number of pages
9
Pages from-to
1-9
UT code for WoS article
000904914700001
EID of the result in the Scopus database
2-s2.0-85145566196