Mamkhezri Jamal, Khezri Mohsen
Department of Economics, Applied Statistics, and International Business, New Mexico State University, Las Cruces, NM 88003 USA.
Department of Economics, School of Management and Economics, University of Kurdistan Hewlêr, 30 Meter Avenue, Erbil, Kurdistan Region Iraq.
Environ Dev Sustain. 2023 Feb 27:1-30. doi: 10.1007/s10668-023-03026-1.
The primary motivation of this paper is the lack of consensus on the impact of renewable energy (RE) and research and development (R&D) expenditure on COemissions in the literature. Current literature has mostly ignored the spillover effect of R&D on COemissions by increasing the intensity effect of technology, leading to biased results. Further, little is known about the impact of previous epidemics on COemissions. This study fills these gaps by evaluating the spillover effects of RE and R&D on COemissions in a global panel of 54 countries from 2003 to 2017. Using a two-way time- and spatial-fixed-effects panel analysis, we find both income-induced and scale effects of economic growth are present in our panel, though the scale effect is the dominant one. Our findings indicate that economic growth increases COemissions at a decreasing rate, validating the Environmental Kuznets Curve hypothesis, and that urbanization and foreign trade worsen the environment. We also find that epidemic episodes before COVID-19 had a nonsignificant impact on COemissions internationally. More importantly, our results confirm the presence of both the intensity and scale effects of R&D, with the intensity effect being the dominant one. We find overwhelming evidence that global R&D investment led to an overall (direct plus spillover) reduction of COemissions, driven by its spillover effect, through two channels: RE and economic growth. Finally, we find that RE installations assist with reducing COemissions internationally, though RE composition and state of R&D can lead to different findings. Our findings have significant policy implications for sustainable development. Our RE and R&D-spillover results support the policy recommendation of shifting to high-tech clean energy sources.
本文的主要动机是文献中对于可再生能源(RE)和研发(R&D)支出对碳排放的影响缺乏共识。当前文献大多忽略了研发对碳排放的溢出效应,即通过提高技术强度效应来影响碳排放,从而导致结果有偏差。此外,对于以往疫情对碳排放的影响知之甚少。本研究通过评估2003年至2017年全球54个国家面板中可再生能源和研发对碳排放的溢出效应,填补了这些空白。使用双向时间和空间固定效应面板分析,我们发现面板中存在经济增长的收入诱导效应和规模效应,尽管规模效应占主导。我们的研究结果表明,经济增长使碳排放增速下降,验证了环境库兹涅茨曲线假说,并且城市化和对外贸易会使环境恶化。我们还发现,新冠疫情之前的疫情事件在国际上对碳排放的影响不显著。更重要的是,我们的结果证实了研发的强度效应和规模效应都存在,其中强度效应占主导。我们发现有压倒性的证据表明,全球研发投资通过可再生能源和经济增长这两个渠道产生溢出效应,从而总体上(直接效应加溢出效应)导致碳排放减少。最后,我们发现可再生能源装置有助于在国际上减少碳排放,尽管可再生能源的构成和研发状况可能会导致不同的结果。我们的研究结果对可持续发展具有重要的政策意义。我们关于可再生能源和研发溢出效应的结果支持转向高科技清洁能源的政策建议。