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确定欧盟国家绿色技术创新加速器和自然资源脱碳:来自 MMQR 的证据。

Determining the green technology innovation accelator and natural resources towards decarbonization for the EU countries: evidence from MMQR.

机构信息

Department of Economics, Hasan Kalyoncu University, Gaziantep, Türkiye.

Department of Travel Tourism and Entertainment Services, Trabzon University, Trabzon, Türkiye.

出版信息

Environ Sci Pollut Res Int. 2024 Mar;31(12):19002-19021. doi: 10.1007/s11356-024-32302-4. Epub 2024 Feb 15.

DOI:10.1007/s11356-024-32302-4
PMID:38358628
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10924010/
Abstract

Gearing up for green technology innovation (GTI) and natural resources has become even more important in the transition to a zero-emission life, a green economy, and sustainable development goals. This attempt has become a situation that needs to be overpowered much sooner by the European countries, which have encountered challenges in many ways, especially regarding natural resources, energy supply, and the climate crisis. In this vein, the current study follows the novel, robust Method of Moment Quantile-Regression (MM-QR), which successfully yields heterogeneous information structure across quantiles, to examine the determinants of GTI for 15 EU countries over the period of 2003-2018. MM-QR estimation results indicate that the determinants of green technology innovation are heterogeneous across the EU countries. While green growth (GG) has an adverse impact on GTI in middle- and high-GTI countries, the effect of ecological footprint on GTI is positive for countries in the highest-GTI countries. The positive effects of financial development (FD) on GTI are revealed for all countries. Remarkably, environmental taxes have an adverse and positive influence on GTI in the lowest and highest quantile countries, respectively. Finally, renewable energy and greenfield FDI have no effect on GTI. Governments can promote GTI by providing financial resources, in the most immaculate way, to firms that engage in green technology projects, as well as by encouraging these through environmental taxes.

摘要

为绿色技术创新 (GTI) 和自然资源做好准备,在向零排放生活、绿色经济和可持续发展目标过渡的过程中变得更加重要。这种尝试已经成为欧洲国家需要尽快克服的局面,这些国家在许多方面都面临挑战,特别是在自然资源、能源供应和气候危机方面。在此背景下,本研究采用新颖、稳健的矩量分位数回归 (MM-QR) 方法,该方法成功地在分位数之间产生了异质的信息结构,以研究 2003-2018 年期间 15 个欧盟国家绿色技术创新的决定因素。MM-QR 估计结果表明,绿色技术创新的决定因素在欧盟各国之间存在异质性。虽然绿色增长 (GG) 对中高绿色技术创新国家的绿色技术创新有不利影响,但生态足迹对最高绿色技术创新国家的绿色技术创新有积极影响。金融发展 (FD) 对所有国家的绿色技术创新都有积极影响。值得注意的是,环境税对最低和最高分位数国家的绿色技术创新分别有不利和积极的影响。最后,可再生能源和绿地外国直接投资对绿色技术创新没有影响。政府可以通过以最完善的方式向从事绿色技术项目的企业提供财政资源,以及通过环境税来鼓励这些企业,从而促进绿色技术创新。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67bb/10924010/6b7bf9b1bfed/11356_2024_32302_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67bb/10924010/77deb9185d18/11356_2024_32302_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67bb/10924010/6b7bf9b1bfed/11356_2024_32302_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67bb/10924010/77deb9185d18/11356_2024_32302_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67bb/10924010/6b7bf9b1bfed/11356_2024_32302_Fig2_HTML.jpg

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Synergistic effect of pollution reduction and carbon emission mitigation in the digital economy.数字经济中污染减排与碳排放缓解的协同效应。
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Environmental regulation and the growth of the total-factor carbon productivity of China's industries: Evidence from the implementation of action plan of air pollution prevention and control.
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