Predicting structural changes of the energy sector in an
input-output framework

J 2023

Predicting structural changes of the energy sector in an input-output framework

WIMMER, Lorenz; Jan KLUGE; Hannes ZENZ a Christian KIMMICH

Základní údaje

Originální název

Predicting structural changes of the energy sector in an input-output framework

Autoři

WIMMER, Lorenz (40 Rakousko); Jan KLUGE (40 Rakousko); Hannes ZENZ (40 Rakousko) a Christian KIMMICH (276 Německo, domácí)

Vydání

Energy, Oxford, Elsevier, 2023, 0360-5442

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

50202 Applied Economics, Econometrics

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

article - open access

Impakt faktor

Impact factor: 9.000

Kód RIV

RIV/00216224:14230/23:00132042

Organizační jednotka

Fakulta sociálních studií

DOI

https://doi.org/10.1016/j.energy.2022.126178

UT WoS

000904914700001

EID Scopus

2-s2.0-85145566196

Klíčová slova anglicky

Input coefficients; Fractional multinomial logit; Renewable energy; Structural change; National accounts

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 31. 10. 2023 09:45, Mgr. Blanka Farkašová

Anotace

V originále

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.

Přiložené soubory

Predicting_structural_changes_of_the_energy_sector.pdf

Citovat

WIMMER, Lorenz; Jan KLUGE; Hannes ZENZ a Christian KIMMICH. Predicting structural changes of the energy sector in an input-output framework. Energy. Oxford: Elsevier, 2023, roč. 265, February, s. 1-9. ISSN 0360-5442. Dostupné z: https://doi.org/10.1016/j.energy.2022.126178.

@article{2330338,
   author = {Wimmer, Lorenz and Kluge, Jan and Zenz, Hannes and Kimmich, Christian},
   article_location = {Oxford},
   article_number = {February},
   doi = {https://doi.org/10.1016/j.energy.2022.126178},
   keywords = {Input coefficients; Fractional multinomial logit; Renewable energy; Structural change; National accounts},
   language = {eng},
   issn = {0360-5442},
   journal = {Energy},
   title = {Predicting structural changes of the energy sector in an input-output framework},
   url = {https://www.sciencedirect.com/science/article/pii/S036054422203064X},
   volume = {265},
   year = {2023}
}

TY  - JOUR
ID  - 2330338
AU  - Wimmer, Lorenz - Kluge, Jan - Zenz, Hannes - Kimmich, Christian
PY  - 2023
TI  - Predicting structural changes of the energy sector in an input-output framework
JF  - Energy
VL  - 265
IS  - February
SP  - 1-9
EP  - 1-9
PB  - Elsevier
SN  - 03605442
KW  - Input coefficients
KW  - Fractional multinomial logit
KW  - Renewable energy
KW  - Structural change
KW  - National accounts
UR  - https://www.sciencedirect.com/science/article/pii/S036054422203064X
N2  - 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.
ER  -

WIMMER, Lorenz; Jan KLUGE; Hannes ZENZ a Christian KIMMICH. Predicting structural changes of the energy sector in an input-output framework. \textit{Energy}. Oxford: Elsevier, 2023, roč.~265, February, s.~1-9. ISSN~0360-5442. Dostupné z: https://doi.org/10.1016/j.energy.2022.126178.

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