Hydrogen production and storage R&D technologies for carbon neutrality in Canada: evidence from energy transition and emission reduction dynamics
Sustainable Energy Technologies and Assessments, cilt.93, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 93
- Basım Tarihi: 2026
- Doi Numarası: 10.1016/j.seta.2026.105288
- Dergi Adı: Sustainable Energy Technologies and Assessments
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, Geobase, INSPEC
- Anahtar Kelimeler: Carbon neutrality, Energy related R&D technologies, Fourier approximation, Hydrogen production, Hydrogen storage
- Hatay Mustafa Kemal Üniversitesi Adresli: Evet
Özet
This study examines the long-run relationship between hydrogen-related R&D expenditures and carbon dioxide (CO2) emissions in Canada over 2004Q1–2024Q4 using the Fourier ADL cointegration approach, complemented by FMOLS and CCR estimators. The findings confirm a stable long-run association among the variables. Both estimation methods consistently indicate that hydrogen production R&D and hydrogen storage R&D are associated with lower CO2 emissions, with estimated long-run elasticities ranging from − 0.007 to − 0.009 and from − 0.010 to − 0.013, respectively. In contrast, GDP and transportation services are positively associated with emissions, whereas trade openness has no statistically significant long-run relationship. These findings suggest that sustained hydrogen-related innovation may support Canada’s decarbonization pathway by facilitating the long-term diffusion and commercialization of clean energy technologies. Therefore, Canada should prioritize sustained investment in hydrogen production and storage R&D, expand hydrogen infrastructure, and integrate hydrogen innovation into national energy and industrial policies to accelerate progress toward carbon neutrality and long-term emissions reduction. Nevertheless, the findings should be interpreted in light of two limitations: the quarterly series are derived from annual data using the quadratic match-sum procedure, and the analysis relies on aggregate CO2 emissions rather than sector-specific or life-cycle emission measures.