Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 1122584

Relationship between electricity and economic growth for long-term periods: New possibilities for energy prediction


Koščak Kolin, Sonja; Karasalihović Sedlar, Daria; Kurevija, Tomislav
Relationship between electricity and economic growth for long-term periods: New possibilities for energy prediction // Energy (Oxford), 228 (2021), 1-12 doi:10.1016/j.energy.2021.120539 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1122584 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Relationship between electricity and economic growth for long-term periods: New possibilities for energy prediction

Autori
Koščak Kolin, Sonja ; Karasalihović Sedlar, Daria ; Kurevija, Tomislav

Izvornik
Energy (Oxford) (0360-5442) 228 (2021); 1-12

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Energy ; Gross domestic product ; Long-term energy prediction

Sažetak
The main scope of this research was to develop and apply new methodology for energy prediction during a long-term period, based on the logarithmic relationship between electricity per capita and GDP per capita. This relationship was proven to be valid until 1989. It contains changeable energy and financial indicators and a dynamic rate of growth K, in the form of hyperbolic curves. With a range of slopes from 0.1 to 6, it enables a new economic classification of countries. Further research of this method, called IKoMet, has made the application of this relationship for future periods possible through the deduction of new energy and financial indicators. It was first applied to Italy, by the determination of indicators for a prediction after 1990. The results show that energy growth in the first period was more than ten times faster in comparison to the following period, while financial growth was almost twice as large in the first period. This procedure was also successfully applied for Switzerland, thus it can be concluded that IKoMet could generally be used for long-term energy prediction.

Izvorni jezik
Engleski

Znanstvena područja
Rudarstvo, nafta i geološko inženjerstvo, Interdisciplinarne tehničke znanosti



POVEZANOST RADA


Ustanove:
Rudarsko-geološko-naftni fakultet, Zagreb

Poveznice na cjeloviti tekst rada:

doi www.sciencedirect.com

Citiraj ovu publikaciju:

Koščak Kolin, Sonja; Karasalihović Sedlar, Daria; Kurevija, Tomislav
Relationship between electricity and economic growth for long-term periods: New possibilities for energy prediction // Energy (Oxford), 228 (2021), 1-12 doi:10.1016/j.energy.2021.120539 (međunarodna recenzija, članak, znanstveni)
Koščak Kolin, S., Karasalihović Sedlar, D. & Kurevija, T. (2021) Relationship between electricity and economic growth for long-term periods: New possibilities for energy prediction. Energy (Oxford), 228, 1-12 doi:10.1016/j.energy.2021.120539.
@article{article, author = {Ko\v{s}\v{c}ak Kolin, Sonja and Karasalihovi\'{c} Sedlar, Daria and Kurevija, Tomislav}, year = {2021}, pages = {1-12}, DOI = {10.1016/j.energy.2021.120539}, keywords = {Energy, Gross domestic product, Long-term energy prediction}, journal = {Energy (Oxford)}, doi = {10.1016/j.energy.2021.120539}, volume = {228}, issn = {0360-5442}, title = {Relationship between electricity and economic growth for long-term periods: New possibilities for energy prediction}, keyword = {Energy, Gross domestic product, Long-term energy prediction} }
@article{article, author = {Ko\v{s}\v{c}ak Kolin, Sonja and Karasalihovi\'{c} Sedlar, Daria and Kurevija, Tomislav}, year = {2021}, pages = {1-12}, DOI = {10.1016/j.energy.2021.120539}, keywords = {Energy, Gross domestic product, Long-term energy prediction}, journal = {Energy (Oxford)}, doi = {10.1016/j.energy.2021.120539}, volume = {228}, issn = {0360-5442}, title = {Relationship between electricity and economic growth for long-term periods: New possibilities for energy prediction}, keyword = {Energy, Gross domestic product, Long-term energy prediction} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





    Contrast
    Increase Font
    Decrease Font
    Dyslexic Font