School of Business Administration, Jimei University, Xiamen, 3610021, China.
Department of Economics, Abdul Wali Khan University Mardan, Mardan, Pakistan.
Environ Sci Pollut Res Int. 2022 May;29(22):33809-33825. doi: 10.1007/s11356-022-18577-5. Epub 2022 Jan 15.
This paper proposes a novel model for the cyclical and non-linear association between innovation in green and sustainable technologies and carbon dioxide (CO) emissions using foreign direct investment, gross domestic consumption, and renewable energy consumption as control variables for OECD economies. First, the findings validated the long-run cointegration among variables. Second, the significant long-term negative nexus between renewable energy consumption, positive shocks to innovation in green and sustainable technologies, and CO emission was validated. Third, income per capita (GDP) and the negative shocks to innovation in green and sustainable technologies contributed to the CO emissions. Based on these findings, this study offers some policy implications to mitigate CO emissions.
本文提出了一个新的模型,用于研究经合组织经济体中绿色和可持续技术创新与二氧化碳(CO)排放之间的周期性和非线性关系,使用外国直接投资、国内生产总值(GDP)、消费和可再生能源消费作为控制变量。首先,研究结果验证了变量之间的长期协整关系。其次,验证了可再生能源消费、绿色和可持续技术创新的积极冲击与 CO 排放之间存在显著的长期负关联。第三,人均收入(GDP)和绿色和可持续技术创新的负冲击导致了 CO 排放的增加。基于这些发现,本研究提出了一些政策建议,以减轻 CO 排放。