All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

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

  • 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

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

  • 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