Factors influencing hydrogen’s strategy in practice: a panel data analysis

The aim of this paper is to analyze the factors affecting hydrogen as well as Carbon Capture and Storage Technologies (“CCS”) policies with refer to countries’ upstream capacity of hydrocarbon activities. By using a panel data of 79 countries in 20 years, the interactive model will take into consideration Oil Reserves in relationship with Fossil Fuel Consumption, Blue or Green hydrogen projects and other variables with respect to countries. Stata 17 was used for the analysis. The results confirm the hypothesis that countries with high fossil fuel consumption rather invest in blue hydrogen instead of green, towards a “zero-carbon-emission” perspective, but oil capacities and reservoirs still pushes down energy transition. Moreover, those countries which are able to invest in hydrogen projects have good institutional and economic situation to do so. Future research should exploit Green Finance policy decision criteria on green and blue hydrogen.

The aim of this paper is to analyze the factors affecting hydrogen as well as Carbon Capture and Storage Technologies (“CCS”) policies with refer to countries’ upstream capacity of hydrocarbon activities. By using a panel data of 79 countries in 20 years, the interactive model will take into consideration Oil Reserves in relationship with Fossil Fuel Consumption, Blue or Green hydrogen projects and other variables with respect to countries. Stata 17 was used for the analysis. The results confirm the hypothesis that countries with high fossil fuel consumption rather invest in blue hydrogen instead of green, towards a “zero-carbon-emission” perspective, but oil capacities and reservoirs still pushes down energy transition. Moreover, those countries which are able to invest in hydrogen projects have good institutional and economic situation to do so. Future research should exploit Green Finance policy decision criteria on green and blue hydrogen.


ISSN 1121-9041

CiteScore:
2020: 3.8
CiteScore measures the average citations received per peer-reviewed document published in this title.
CiteScore values are based on citation counts in a range of four years (e.g. 2016-2019) to peer-reviewed documents (articles, reviews, conference papers, data papers and book chapters) published in the same four calendar years, divided by the number of these documents in these same four years (e.g. 2016 —19).
Source Normalized Impact per Paper (SNIP):
2019: 1.307
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR)
2019: o.657
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal's impact.
Journal Metrics: CiteScore: 1.0 , Source Normalized Impact per Paper (SNIP): 0.381 SCImago Journal Rank (SJR): 0.163

Supported by


Edited by


GEAM - Associazione Georisorse e Ambiente c/o Dipartimento di Ing.dell’Ambiente, del Territorio e delle infrastrutture Politecnico di Torino
Copyright @ GEAM - Designed by DESIGN GANG - Privacy Policy