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Role of Technological Innovation in Strengthening Energy Security and Advancing Carbon Neutrality: Implications for Green Investment in China

Huma Naz et al.

Politicka Ekonomie: teorie, modelovani, aplikace2026https://doi.org/10.18267/j.polek.1533article
ABDC B
Weight
0.50

What the paper says

This study examines the impact of advanced technologies, including built environment technology, electricity grade technology, hydrogen technology, offshore water technology, electric vehicles technology and renewable energy integration, on China's transition toward a low-carbon economy.Utilizing time-series data from the World Development Indicators and the Global Electric Vehicle databases , we analyzed the effectiveness of these innovations in reducing carbon emissions while fostering economic and environmental resilience.Our findings reveal that technological advancements contribute to decarbonization efforts and drive substantial green investments, reinforcing China's position as a global leader in sustainable energy transitions.The findings also show a significant positive influence of vehicle electrification on green investment and zero-carbon capture in the country.The results offer valuable insights for policymakers and investors on environmental sustainability to balance energy security.It also provides guidelines for global economies seeking to achieve economic growth.

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https://doi.org/https://doi.org/10.18267/j.polek.1533

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@article{huma2026,
  title        = {{Role of Technological Innovation in Strengthening Energy Security and Advancing Carbon Neutrality: Implications for Green Investment in China}},
  author       = {Huma Naz et al.},
  journal      = {Politicka Ekonomie: teorie, modelovani, aplikace},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.18267/j.polek.1533},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.