关于 REMS 和核能对 20 国集团国家二氧化碳减排影响的统计研究

IF 1.7 4区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES
Fatimah M. Alghamdi , Amr R. Kamel , Manahil SidAhmed Mustafa , Mahmoud Mohamed Bahloul , Meshayil M. Alsolmi , Mohamed R. Abonazel
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引用次数: 0

摘要

可再生能源和核能被视为化石燃料能源的清洁环保替代品。但两者孰优孰劣仍有争议。为了实现全球能源综合目标,或许在不久的将来实现碳中和甚至碳负增长,有必要转向更多的可再生能源和核能。其中一种改善能源使用的方法是实施可再生能源管理系统(REMS),这将有助于获得持续可靠的能源来源,从而对可再生资产和可靠供应进行积极有效的管理。本文通过分析 2000 年至 2021 年期间二十国集团(G20)国家二氧化碳(CO2)排放对不可再生能源、可再生能源和核能的依赖程度,调查人们对核能和可再生能源生产技术的态度和看法。本研究采用先进的面板数据计量经济学技术,在 G20 数据集存在异常值的情况下,通过 M-estimation 方法利用稳健随机系数回归(RRCR)模型,研究不可再生能源、可再生能源和核能的使用对 G20 国家二氧化碳减排的影响。计量经济学分析的总体结论证实了可再生能源和核能在减少二氧化碳排放方面的重要性。我们可以得出结论,与存在异常值的经典估算方法相比,稳健的 M-estimate 方法是 G20 数据集的最佳估算技术。结果表明,不可再生能源的能源消耗每增加一个百分点,G20 国家的二氧化碳排放量就会增加 2.5737%。此外,可再生能源消费每增加 1%,所有 G20 国家的二氧化碳排放量就会减少 1.0566%。同样,核能消费每增加 1%,所有 G20 国家的二氧化碳排放量将减少 5.5703%。因此,我们可以得出结论,在所有 G20 国家中,来自可再生能源和核能的能源可大大减少二氧化碳排放量。另一方面,从长远来看,能源消耗总量会增加二氧化碳排放量。根据这些结论,G20 国家必须增加核能的使用,并采用 REMS 减少大多数 G20 国家对化石燃料的依赖,以最大限度地减少二氧化碳排放。这些研究结果对于理解这些变量之间的关系以及在 G20 国家和国家层面实施新的或修订的支持碳中和的政策和倡议至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A statistical study for the impact of REMS and nuclear energy on carbon dioxide emissions reductions in G20 countries

Renewable and nuclear energy are seen as clean and eco-friendly substitutes for energy derived from fossil fuels. Which of the two is better, though, is still up for debate. In order to meet their combined global energy objectives and perhaps become carbon neutral or even carbon negative in the near future, a shift to additional renewable energy sources and nuclear energy will be necessary. One such method of improving energy usage through the implementation of a renewable energy management system (REMS) that will help attain a continuous and reliable source of energy, allowing for the proactive and effective management of renewable assets and dependable supply. This article investigates attitudes and opinions about nuclear and renewable energy production technologies by analyzing the dependence of carbon dioxide (CO2) emissions on non-renewable energy sources, renewable energy sources, and nuclear energy in the group of twenty (G20) countries, over the period from 2000 to 2021. This study employs advanced panel data econometric techniques in the presence of outliers in the G20 dataset, utilizing a robust random coefficient regression (RRCR) model via the M-estimation approach to study the impacts of non-renewable, renewable, and nuclear energy use with respect to CO2 emission mitigation in G20 countries. The overall conclusions of the econometric analysis confirm renewable and nuclear energy's importance in reducing CO2 emissions. We can conclude that the robust M-estimate approach is the best estimation technique for the G20 dataset, as compared to the classical estimation methods in the presence of outliers. The results show that for every percentage point of energy consumption that falls into the category of non-renewable energy, CO2 emissions will increase by 2.5737% for all G20 countries. Also, A 1% rise in renewable energy consumption reduces CO2 emissions by 1.0566% for all G20 countries. Similarly, a 1% increase in nuclear energy consumption will reduce CO2 emissions by 5.5703% for all G20 countries. Therefore, we can conclude that energy derived from renewable sources and nuclear energy greatly cuts CO2 emissions in all G20 countries. Total energy consumption, on the other hand, increases CO2 emissions in the long run. According to these findings, it is pivotal for the G20 countries to increase nuclear energy use and employ REMS to reduce the majority of G20 country's reliance on fossil fuels in order to minimize CO2 emissions. These findings are vital for understanding the relationship between these variables and the implementation of new or revised policies and initiatives supporting carbon neutrality at the G20 countries and national levels.

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来源期刊
自引率
5.90%
发文量
130
审稿时长
16 weeks
期刊介绍: Journal of Radiation Research and Applied Sciences provides a high quality medium for the publication of substantial, original and scientific and technological papers on the development and applications of nuclear, radiation and isotopes in biology, medicine, drugs, biochemistry, microbiology, agriculture, entomology, food technology, chemistry, physics, solid states, engineering, environmental and applied sciences.
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