Akademik Veri Yönetim Sistemi
Econometrics of Green Energy Handbook, Economic and Technological Development, Springer Nature, ISBN:978-3-030-46846-0, Daniel Balsalobre-Lorente,Muhammad Shahbaz, Editör, Springer Nature, Chur, ss.31-53, 2020
This paper observes the possible co-movements of oil price and CO2
emissions in China by following wavelet coherence and wavelet partial coherence
analyses to be able to depict the short-run and long-run co-movements at both lowand
high frequencies. To this end, this research might provide the current literature with
the output of potential short-run and long-run structural changes in CO2 emissions
upon a shock (a change) in oil prices in China together with the control variables of
world oil prices, fossil energy consumption and renewable consumption and urban
population in China. Therefore, this research aims at determining wavelet coherencies
between the variables and phase differences to exhibit the leading variable in
potential co-movements. By following the time domain and frequency domain analyses
of this research, one may claim that the oil prices in China have considerable
negative impact on CO2 emissions at high frequencies for the periods 1960–2014
and 1971–2014 in China. Besides, one may underline as well other important output
of the research exploring that the urban population and CO2 emissions have positive
associations, move together for the period 1960–2014 in China. Eventually, this
paper might suggest that authorities follow demand-side management policies considering
energy demand behavior at both shorter cycles and longer cycles to diminish
the CO2 emissions in China.