加拿大分解能源利用与环境健康的相互作用:协整与反事实分析方法

IF 4.3 3区 工程技术 Q2 ENERGY & FUELS
Md. Idris Ali, Md. Monirul Islam, Brian Ceh
{"title":"加拿大分解能源利用与环境健康的相互作用:协整与反事实分析方法","authors":"Md. Idris Ali,&nbsp;Md. Monirul Islam,&nbsp;Brian Ceh","doi":"10.1155/er/1173970","DOIUrl":null,"url":null,"abstract":"<p>Despite the substantial impact of various energy consumption parameters on the generation of nitrous oxide and methane emissions, which contribute to environmental degradation, most prior research has primarily concentrated on carbon emissions and ecological footprint metrics. This study seeks to address this void by examining the intricate link between total energy usage and its disaggregated components, including natural gas, oil, coal, renewable, and nuclear energy sources, and their role in four critical aspects of the environment in Canada. Incorporating time series data spanning from 1990 to 2022, we employ the dynamic autoregressive distributed lag (DARDL) approach, which reveals that total energy consumption, particularly from nonrenewable sources, such as coal, natural gas, and oil, contributes to environmental degradation by accelerating ecological footprint, carbon, nitrous oxide, and methane emissions. Conversely, renewable and nuclear energy sources have the opposite effect, reducing environmental decay. Additionally, counterfactual analysis examines the effects of (±) 1% and (±) 5% shocks from the predictors to predicted variables. Moreover, the study evaluates the robustness of the findings derived from the DARDL estimation technique by employing the Kernel-based Regularized Least Squares (KRLSs) machine learning algorithm. While the environmental impacts of various energy sources are well-documented, this study offers a novel contribution by analyzing the differentiated effects of both renewable and nonrenewable energy consumption on CO<sub>2</sub>, CH<sub>4</sub>, and N<sub>2</sub>O emissions in a single framework, with a specific focus on the Canadian context. Unlike previous studies, this research integrates economic policy uncertainty and technological innovation as vibrant variables, revealing their distinct roles in amplifying or mitigating environmental degradation. Finally, important policy implications are discussed.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3000,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/1173970","citationCount":"0","resultStr":"{\"title\":\"Interaction Between Decomposed Energy Utilization and Environmental Health in Canada: A Cointegration and Counterfactual Analysis Approach\",\"authors\":\"Md. Idris Ali,&nbsp;Md. Monirul Islam,&nbsp;Brian Ceh\",\"doi\":\"10.1155/er/1173970\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Despite the substantial impact of various energy consumption parameters on the generation of nitrous oxide and methane emissions, which contribute to environmental degradation, most prior research has primarily concentrated on carbon emissions and ecological footprint metrics. This study seeks to address this void by examining the intricate link between total energy usage and its disaggregated components, including natural gas, oil, coal, renewable, and nuclear energy sources, and their role in four critical aspects of the environment in Canada. Incorporating time series data spanning from 1990 to 2022, we employ the dynamic autoregressive distributed lag (DARDL) approach, which reveals that total energy consumption, particularly from nonrenewable sources, such as coal, natural gas, and oil, contributes to environmental degradation by accelerating ecological footprint, carbon, nitrous oxide, and methane emissions. Conversely, renewable and nuclear energy sources have the opposite effect, reducing environmental decay. Additionally, counterfactual analysis examines the effects of (±) 1% and (±) 5% shocks from the predictors to predicted variables. Moreover, the study evaluates the robustness of the findings derived from the DARDL estimation technique by employing the Kernel-based Regularized Least Squares (KRLSs) machine learning algorithm. While the environmental impacts of various energy sources are well-documented, this study offers a novel contribution by analyzing the differentiated effects of both renewable and nonrenewable energy consumption on CO<sub>2</sub>, CH<sub>4</sub>, and N<sub>2</sub>O emissions in a single framework, with a specific focus on the Canadian context. Unlike previous studies, this research integrates economic policy uncertainty and technological innovation as vibrant variables, revealing their distinct roles in amplifying or mitigating environmental degradation. Finally, important policy implications are discussed.</p>\",\"PeriodicalId\":14051,\"journal\":{\"name\":\"International Journal of Energy Research\",\"volume\":\"2025 1\",\"pages\":\"\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-08-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/1173970\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Energy Research\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1155/er/1173970\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Energy Research","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/er/1173970","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

摘要

尽管各种能源消耗参数对导致环境退化的氧化亚氮和甲烷排放产生重大影响,但大多数先前的研究主要集中在碳排放和生态足迹指标上。本研究试图通过研究总能源使用与其分解组成部分(包括天然气、石油、煤炭、可再生能源和核能)之间的复杂联系,以及它们在加拿大环境的四个关键方面的作用,来解决这一空白。结合1990年至2022年的时间序列数据,我们采用动态自回归分布滞后(DARDL)方法,揭示了总能源消耗,特别是来自煤炭、天然气和石油等不可再生能源的能源消耗,通过加速生态足迹、碳、氧化亚氮和甲烷的排放,加剧了环境退化。相反,可再生能源和核能具有相反的效果,可以减少环境退化。此外,反事实分析检验了预测因子(±)1%和(±)5%冲击对被预测变量的影响。此外,该研究通过采用基于核的正则化最小二乘(KRLSs)机器学习算法,评估了DARDL估计技术得出的结果的稳健性。虽然各种能源对环境的影响已被充分记录,但本研究通过在单一框架内分析可再生能源和不可再生能源消耗对CO2、CH4和N2O排放的不同影响,并特别关注加拿大的背景,提供了一个新颖的贡献。与以往的研究不同,本研究将经济政策不确定性和技术创新作为动态变量,揭示了它们在放大或缓解环境退化中的独特作用。最后,讨论了重要的政策含义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Interaction Between Decomposed Energy Utilization and Environmental Health in Canada: A Cointegration and Counterfactual Analysis Approach

Interaction Between Decomposed Energy Utilization and Environmental Health in Canada: A Cointegration and Counterfactual Analysis Approach

Despite the substantial impact of various energy consumption parameters on the generation of nitrous oxide and methane emissions, which contribute to environmental degradation, most prior research has primarily concentrated on carbon emissions and ecological footprint metrics. This study seeks to address this void by examining the intricate link between total energy usage and its disaggregated components, including natural gas, oil, coal, renewable, and nuclear energy sources, and their role in four critical aspects of the environment in Canada. Incorporating time series data spanning from 1990 to 2022, we employ the dynamic autoregressive distributed lag (DARDL) approach, which reveals that total energy consumption, particularly from nonrenewable sources, such as coal, natural gas, and oil, contributes to environmental degradation by accelerating ecological footprint, carbon, nitrous oxide, and methane emissions. Conversely, renewable and nuclear energy sources have the opposite effect, reducing environmental decay. Additionally, counterfactual analysis examines the effects of (±) 1% and (±) 5% shocks from the predictors to predicted variables. Moreover, the study evaluates the robustness of the findings derived from the DARDL estimation technique by employing the Kernel-based Regularized Least Squares (KRLSs) machine learning algorithm. While the environmental impacts of various energy sources are well-documented, this study offers a novel contribution by analyzing the differentiated effects of both renewable and nonrenewable energy consumption on CO2, CH4, and N2O emissions in a single framework, with a specific focus on the Canadian context. Unlike previous studies, this research integrates economic policy uncertainty and technological innovation as vibrant variables, revealing their distinct roles in amplifying or mitigating environmental degradation. Finally, important policy implications are discussed.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
International Journal of Energy Research
International Journal of Energy Research 工程技术-核科学技术
CiteScore
9.80
自引率
8.70%
发文量
1170
审稿时长
3.1 months
期刊介绍: The International Journal of Energy Research (IJER) is dedicated to providing a multidisciplinary, unique platform for researchers, scientists, engineers, technology developers, planners, and policy makers to present their research results and findings in a compelling manner on novel energy systems and applications. IJER covers the entire spectrum of energy from production to conversion, conservation, management, systems, technologies, etc. We encourage papers submissions aiming at better efficiency, cost improvements, more effective resource use, improved design and analysis, reduced environmental impact, and hence leading to better sustainability. IJER is concerned with the development and exploitation of both advanced traditional and new energy sources, systems, technologies and applications. Interdisciplinary subjects in the area of novel energy systems and applications are also encouraged. High-quality research papers are solicited in, but are not limited to, the following areas with innovative and novel contents: -Biofuels and alternatives -Carbon capturing and storage technologies -Clean coal technologies -Energy conversion, conservation and management -Energy storage -Energy systems -Hybrid/combined/integrated energy systems for multi-generation -Hydrogen energy and fuel cells -Hydrogen production technologies -Micro- and nano-energy systems and technologies -Nuclear energy -Renewable energies (e.g. geothermal, solar, wind, hydro, tidal, wave, biomass) -Smart energy system
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信