Faculty of Economics and Administrative Sciences, Department of Business Administration, Cyprus International University, Nicosia, Northern Cyprus, TR-10, Mersin, Turkey.
Department of Computing and Informatics, Bournemouth University, Poole, United Kingdom.
Environ Sci Pollut Res Int. 2021 Oct;28(37):52272-52282. doi: 10.1007/s11356-021-14425-0. Epub 2021 May 18.
This research investigates the drivers of consumption-based carbon emissions in Brazil by using a dataset covering the period between 1990 and 2018. These dynamics were examined by employing the ARDL bounds, DOLS, and gradual shift causality tests. The ARDL long- and short-run estimation outcomes reveal that: (a) renewable energy use stimulates the sustainability of the environment; (b) economic growth increases environmental degradation; and (c) technological innovation enhances the quality of the environment. In addition, the gradual shift causality test results disclosed that renewable energy consumption, economic growth, technological innovation and public-private partnership investment in energy can predict consumption-based carbon emissions in Brazil. Therefore, Brazilian policymakers should actively encourage the R&D of low-carbon technologies and renewable energy consumption. Domestic consumption levels, on the other hand, should be targeted, specifically those that are more energy-intensive and cause a rise in CO emissions due to consumption.
本研究利用涵盖 1990 年至 2018 年期间的数据，考察了巴西消费碳排放的驱动因素。通过使用 ARDL 边界、DOLS 和渐进转移因果检验，研究了这些动态。ARDL 长期和短期估计结果表明：（a）可再生能源的使用促进了环境的可持续性；（b）经济增长加剧了环境恶化；（c）技术创新提高了环境质量。此外，渐进转移因果检验结果表明，可再生能源消费、经济增长、技术创新以及能源领域的公私伙伴关系投资可以预测巴西的消费碳排放。因此，巴西政策制定者应积极鼓励低碳技术和可再生能源消费的研发。另一方面，应针对国内消费水平进行有针对性的调整，特别是那些能源密集度更高、因消费而导致二氧化碳排放量上升的消费水平。
