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Relationship between electricity and economic growth for long-term periods: New possibilities for energy prediction (CROSBI ID 293590)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

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

Podaci o odgovornosti

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

engleski

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

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.

Energy ; Gross domestic product ; Long-term energy prediction

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Podaci o izdanju

228

2021.

1-12

objavljeno

0360-5442

1873-6785

10.1016/j.energy.2021.120539

Povezanost rada

Interdisciplinarne tehničke znanosti, Rudarstvo, nafta i geološko inženjerstvo

Poveznice
Indeksiranost