Estimating hydrogen demand function: A structural time series model

Karimi, Mohammad Sharif and Ghavidel Doostkouei, Saleh and Naysary, Babak and Mousavi, Mir Hossein (2024) Estimating hydrogen demand function: A structural time series model. Journal of Cleaner Production, 455. p. 142331. ISSN 0959-6526

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This paper utilizes a Structural Time Series Model (STM) with an underlying component to estimate the global hydrogen demand function. This approach allows for the discernment of the ongoing impact of technology and the dynamic changes in consumer behavior that affect hydrogen demand over time. To estimate the hydrogen demand function, the analysis incorporates key variables, including hydrogen price, natural gas price, oil price, and GDP (Gross Domestic Product) per capita. The study utilizes quarterly global data from the first quarter of 2009 to the fourth quarter of 2021. In comparing the underlying components influencing hydrogen demand, the study suggests that advancements in production technology, organizational technology, and changes in consumer behavior collectively contribute to a gradual leftward shift in the global hydrogen demand curve over time. The study uncovered that, in the short term, global hydrogen demand demonstrates high inelasticity. Furthermore, the results reveal. a complementary relationship between natural gas and hydrogen, although this complementarity diminishes significantly over time. Additionally, the findings suggest that oil. can function as a substitute for hydrogen, with the substitution effect intensifying in the long term. Interestingly, hydrogen is initially perceived as a luxury commodity, yet over the long term, it transitions to behaving as a normal commodity.

Item Type: Article
Identification Number:
22 April 2024Accepted
25 April 2024Published Online
Uncontrolled Keywords: Hydrogen demand, Structural time series model, Natural gas price, Oil price
Subjects: CAH17 - business and management > CAH17-01 - business and management > CAH17-01-07 - finance
Divisions: Faculty of Business, Law and Social Sciences > Birmingham City Business School
Depositing User: Babak Naysary
Date Deposited: 14 May 2024 12:08
Last Modified: 14 May 2024 12:08

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