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研发投入和可再生能源消费如何推动碳中和?来自 G7 经济体的证据。

How Do R&D and Renewable Energy Consumption Lead to Carbon Neutrality? Evidence from G-7 Economies.

机构信息

Business School, Zhengzhou University, Zhengzhou 450001, China.

出版信息

Int J Environ Res Public Health. 2023 Mar 5;20(5):4604. doi: 10.3390/ijerph20054604.

Abstract

The discussion about whether research and development and advanced energy structure can efficiently control pollution has gained the consideration of researchers across the globe. However, there is a lack of enough empirical and theoretical evidence to support this phenomenon. To offer support of empirical evidence along with theoretical mechanism, we examine the net Impact of research and development (R&D) and renewable energy consumption (RENG) on CO2E utilizing panel data from G-7 economies for 1990-2020. Moreover, this study investigates the controlling role of economic growth and nonrenewable energy consumption (NRENG) in the R&D-CO2E models. The results obtained from the CS-ARDL panel approach verified a long-run and short-run relationship between R&D, RENG, economic growth, NRENG, and CO2E. Short- and long-run empirical results suggest that R&D and RENG improve environmental stability by decreasing CO2E, while economic growth and NRENG increase CO2E. Particularly, long-run R&D and RENG reduce CO2E with the effect of -0.091 and -0.101, respectively, while in the short run, they reduce CO2E with the effect of -0.084 and -0.094, respectively. Likewise, the 0.650% (long run) and 0.700% (short-run) increase in CO2E is due to economic growth, while the 0.138% (long run) and 0.136% (short run) upsurge in CO2E is due to an increase in NRENG. The findings obtained from the CS-ARDL model were also verified by the AMG model, while D-H non-causality approach was applied to check the pair-wise relationship among variables. The D-H causal relationship revealed that policies to focus on R&D, economic growth, and NRENG explain variation in CO2E but not vice versa. Furthermore, policies considering RENG and human capital can also affect CO2E and vice versa, meaning there is a round effect between the variables. All this indication may guide the concerned authorities to devise comprehensive policies that are helpful to environmental stability and in line with CO2E reduction.

摘要

关于研究与开发和先进能源结构是否能够有效控制污染的讨论已经引起了全球研究人员的关注。然而,目前还缺乏足够的经验和理论证据来支持这一现象。为了提供经验证据和理论机制的支持,我们利用 1990-2020 年 G7 经济体的面板数据,检验了研发(R&D)和可再生能源消费(RENG)对二氧化碳排放总量(CO2E)的净影响。此外,本研究还调查了经济增长和不可再生能源消费(NRENG)在 R&D-CO2E 模型中的控制作用。CS-ARDL 面板方法的结果验证了 R&D、RENG、经济增长、NRENG 和 CO2E 之间存在长期和短期关系。短期和长期的实证结果表明,R&D 和 RENG 通过减少 CO2E 来改善环境稳定性,而经济增长和 NRENG 则增加 CO2E。具体而言,长期 R&D 和 RENG 分别以-0.091 和-0.101 的效应降低 CO2E,而在短期内,它们分别以-0.084 和-0.094 的效应降低 CO2E。同样,经济增长导致 CO2E 增加 0.650%(长期)和 0.700%(短期),而 NRENG 增加导致 CO2E 增加 0.138%(长期)和 0.136%(短期)。CS-ARDL 模型的结果也得到了 AMG 模型的验证,同时还应用了 D-H 非因果关系方法来检查变量之间的两两关系。D-H 因果关系表明,专注于 R&D、经济增长和 NRENG 的政策可以解释 CO2E 的变化,但反之则不然。此外,考虑 RENG 和人力资本的政策也可以影响 CO2E,反之亦然,这意味着变量之间存在循环效应。所有这些迹象都可能指导有关当局制定有助于环境稳定和减少 CO2E 的综合政策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/983d/10002110/25145d385db2/ijerph-20-04604-g001.jpg

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