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The Effect of Energy Consumption, Income, and Population Growth on CO2 Emissions: Evidence from NARDL and Machine Learning Models

文献类型：期刊论文

作者Ahmed, Mansoor1; Huan, Wen1; Ali, Nafees2,3; Shafi, Ahsan4; Ehsan, Muhsan5; Abdelrahman, Kamal6; Khan, Anser Ali7; Abbasi, Saiq Shakeel8; Fnais, Mohammed S.6
刊名SUSTAINABILITY
出版日期2023-08-01
卷号15期号:15页码:19
关键词energy consumption CO2 emission NARDL machine learning models China India USA
DOI10.3390/su151511956
英文摘要With population and income growth, the need for energy has increased in developing and emerging economies, which has inevitably led to an increase in carbon dioxide emissions (CO(2)e). This paper investigates the impact of energy consumption on CO(2)e influenced by population growth, energy consumption per capita, and income. In particular, this paper investigates whether or not an increase in energy consumption, energy intensity, energy consumption per capita, population growth, and income impacts CO(2)e in China, India, and the USA. The study applied the non-linear Autoregressive distributed lag (NARDL) and machine learning techniques. We found a significant impact of energy consumption per capita on the CO2 emissions in China, India, and USA. Furthermore, the results revealed that, when income increased, CO2 emissions increased in India, but decreased in the USA. The results confirmed that population growth increases CO2 emissions only in India. The results revealed that a decrease in energy intensity significantly improves the environmental quality in China and India. Finally, we forecasted the CO(2)e trend from 2017 to 2025. The results revealed an upcoming increase in CO(2)e levels in China and India. Conversely, the forecasted results demonstrated a downward trend of CO(2)e emissions in the USA.
资助项目King Saud University, Riyadh, Saudi Arabia[RSP2023R351]
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001045794500001
出版者MDPI
源URL[http://119.78.100.198/handle/2S6PX9GI/39205]  
专题中科院武汉岩土力学所
通讯作者Shafi, Ahsan; Ehsan, Muhsan
作者单位1.Software Engn Inst Guangzhou, Dept Finance & Econ, Guangzhou 510900, Peoples R China
2.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.China Univ Geosci, Sch Publ Adm, Wuhan 430074, Peoples R China
5.Bahria Univ, Bahria Sch Engn & Appl Sci, Dept Earth & Environm Sci, Islamabad 44000, Pakistan
6.King Saud Univ, Coll Sci, Dept Geol & Geophys, POB 2455, Riyadh 11451, Saudi Arabia
7.Clark Univ, Int Dev Community & Environm IDCE, Worcester, MA 01610 USA
8.Tyche Consultants SMC Pvt Ltd, Islamabad 44000, Pakistan
推荐引用方式
GB/T 7714		 Ahmed, Mansoor,Huan, Wen,Ali, Nafees,et al. The Effect of Energy Consumption, Income, and Population Growth on CO2 Emissions: Evidence from NARDL and Machine Learning Models[J]. SUSTAINABILITY,2023,15(15):19.
APA Ahmed, Mansoor.,Huan, Wen.,Ali, Nafees.,Shafi, Ahsan.,Ehsan, Muhsan.,...&Fnais, Mohammed S..(2023).The Effect of Energy Consumption, Income, and Population Growth on CO2 Emissions: Evidence from NARDL and Machine Learning Models.SUSTAINABILITY,15(15),19.
MLA Ahmed, Mansoor,et al."The Effect of Energy Consumption, Income, and Population Growth on CO2 Emissions: Evidence from NARDL and Machine Learning Models".SUSTAINABILITY 15.15(2023):19.

入库方式： OAI收割

来源：武汉岩土力学研究所

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