Graduate School of Economics and Management, Ural Federal University, Yekaterinburg, Russia.
Department of Economics, University of Western Australia, Perth, Australia.
Environ Sci Pollut Res Int. 2021 Jul;28(27):36004-36017. doi: 10.1007/s11356-021-13326-6. Epub 2021 Mar 8.
Within a framework that includes economic activity, real interest rate, grants, and subsidies, we aim to explore the role of renewable energy, technological innovation, and particularly the environmentally damaging militarization in driving green growth, which fosters sustainable economic growth by ensuring the values of natural assets, considering OECD countries. Our examination affirms a positive proposition between the development of renewable energy, technological innovation, and green growth in the long run by implementing the cross-sectional dependency panel autoregressive-distributed lags (CS-ARDL) framework in a dynamic heterogeneous panel setting. The findings also suggest that militarization is antagonistic to green growth. Our decomposed analysis is compatible with our premier analysis, indicating a conducive impact of both biomass and non-biomass types of renewable energy on green growth. We also document a negative association between the real interest rate (RIR) and green growth, while income muddles the results. The robustness tests confirm the sensitivity of our main findings to the magnitude of the subsidies and grants provided to renewable energy. The paper concludes with several policy recommendations.
在包含经济活动、实际利率、赠款和补贴的框架内,我们旨在探索可再生能源、技术创新的作用,特别是环境破坏的军事化对绿色增长的推动作用,通过确保自然资产的价值来促进可持续经济增长,考虑到经合组织国家。我们的研究在动态异质面板环境中实施横截面相依面板自回归分布滞后(CS-ARDL)框架,证实了可再生能源、技术创新和绿色增长在长期内的积极发展。研究结果还表明,军事化不利于绿色增长。我们的分解分析与我们的主要分析一致,表明生物质和非生物质可再生能源类型对绿色增长都有积极的影响。我们还记录了实际利率(RIR)与绿色增长之间的负相关关系,而收入则使结果变得复杂。稳健性检验证实了我们的主要发现对可再生能源提供的补贴和赠款数量的敏感性。本文最后提出了一些政策建议。