 Analyzing energy innovation-emissions nexus in China: A novel dynamic simulation methodDanish, and Recep Ulucak () Energy, 2022, vol. 244, issue PB Abstract: Rising climate change and global warming issues highlight the potential role of research and development in the energy sector. By considering this critical role, the current study outlines the impact of energy innovation on carbon dioxide (CO2) emissions for China. For this, the study produces empirical outputs by conducting a newly developed, dynamic autoregressive distributed lag simulation method. The study discloses robust findings that point out a mitigating effect of energy innovation on carbon dioxide emissions and validate the Environmental Kuznets Curve hypothesis. Empirical results highlight the significant role of energy innovation to decrease environmental pollution and inspire policymakers to increase the spending of the public budget on energy research development and demonstration as well as supporting innovative attempts and enterprises. On the other hand, empirical findings do not provide concrete evidence to support the pollution haven hypothesis in China. Keywords: Energy innovation; Environmental Kuznets curve; Pollution haven hypotheses; Dynamic ARDL Method (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:244:y:2022:i:pb:s036054422103259x DOI: 10.1016/j.energy.2021.123010 Access Statistics for this article Energy is currently edited by Henrik Lund and Mark J. Kaiser More articles in Energy from Elsevier |
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