能源不确定性对发电环境管理的中介作用:巴基斯坦的证据

IF 8 Q1 ENERGY & FUELS Energy nexus Pub Date : 2024-09-13 DOI:10.1016/j.nexus.2024.100327
Muhammad Shahbaz , Bekhzod Kuziboev , Kamil Pícha , Ilyos Abdullaev , Leon Moise Minani , Sharifa Jumaniyazova
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引用次数: 0

摘要

这项开创性的研究利用月度数据,研究了巴基斯坦 2019M01 和 2022M10 期间的二氧化碳强度、化石燃料总量和分类、清洁能源和核能,以及作为中介变量的能源不确定性之间的关系。为此,采用 ARDL 约束检验法来确定所研究因素的长期关系。实证结果表明,在能源不确定性的中介效应下,可再生能源和核能发电与二氧化碳强度呈负相关。相比之下,化石燃料发电在总量分析中对二氧化碳强度有正向影响。此外,能源不确定性中介作用下的分类结果显示,只有水能降低了二氧化碳强度,而可再生能源、生物能、风能和太阳能对二氧化碳强度没有影响。煤炭和天然气能源都会导致二氧化碳浓度上升。核能也与二氧化碳强度呈负相关。在综合和分类分析中,能源不确定性的增加也会导致二氧化碳强度的下降。小波相干性分析表明,几乎在整个使用期间,二氧化碳强度和能源不确定性都是动态相互依存的。
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Mediating role of energy uncertainty for environmental management in electricity generation: The evidence from Pakistan
This groundbreaking study examines the relationship between CO2 intensity, aggregated and disaggregated fossil fuels, clean and nuclear energy, and, as a mediating variable, energy uncertainty for Pakistan during 2019M01 and 2022M10 with monthly data. To this end, the ARDL Bound Testing method is used to identify the long-run relationship of the studied factors. The empirical results suggest that under the mediating effect of energy uncertainty, renewables and nuclear energy in electricity generation have a negative association with CO2 intensity. In contrast, fossil fuels in generating electricity influence positively CO2 intensity in the aggregated analysis. Moreover, the disaggregated results under the mediating role of energy uncertainty reveal that only hydro energy reduces CO2 intensity as renewables, bioenergy, wind, and solar energy do not impact CO2 intensity. Both coal and gas energies cause a rise in CO2 intensity. Regarding nuclear energy, it also has a negative relation with CO2 intensity. The increase in energy uncertainty leads to a fall in CO2 intensity in aggregated and disaggregated analyses as well. Wavelet coherence analysis shows that CO2 intensity and energy uncertainty depend on each other dynamically for almost the whole employed period.
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来源期刊
Energy nexus
Energy nexus Energy (General), Ecological Modelling, Renewable Energy, Sustainability and the Environment, Water Science and Technology, Agricultural and Biological Sciences (General)
CiteScore
7.70
自引率
0.00%
发文量
0
审稿时长
109 days
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