본문 바로가기
KERD
논문KCI 등재

Does green innovation mitigate consumption-based carbon emissions? The role of nuclear energy consumption and energy productivity in G-7 nations

Zhen Wang|Qianqian Ding|Mehboob Muhammad Yasir|Shehzadi Amina
한국원자력학회 (Korean Nuclear Society)|2025.05|Nuclear Engineering and Technology|제57권 제5호|DOI 10.1016/j.net.2024.103384

2

조회

0

다운로드

0

인용

0

참고문헌

키워드

Green innovationEnergy productivityNuclear energy efficiencyEnvironmental sustainabilityG-7 nations
주제분류원자력공학

초록

Green innovation, clean energy consumption, and improved energy productivity are crucial for addressing global climate change and combating ecological degradation and are emphasized for their dynamic role in creating a sustainable future. In that sense, this research probed the influences of green innovation, nuclear energy use, and energy productivity on consumption-based carbon emissions in the G-7 economies from 1990 to 2021. Advanced econometric methods were employed, including CS-ARDL for long-run linkage, AMG and CCEMG for robustness, and the DH causality approach. The long-run results specified that green innovation, utilizing nuclear energy resources, and improving energy productivity support decreasing consumption-based carbon emissions. This work recommended implementing the investment in green innovations, expanding nuclear energy consumption, and utilizing energy productivity to lower the existing consumption-based emissions level through policy implementation for G-7 nations.

Abstract

Green innovation, clean energy consumption, and improved energy productivity are crucial for addressing global climate change and combating ecological degradation and are emphasized for their dynamic role in creating a sustainable future. In that sense, this research probed the influences of green innovation, nuclear energy use, and energy productivity on consumption-based carbon emissions in the G-7 economies from 1990 to 2021. Advanced econometric methods were employed, including CS-ARDL for long-run linkage, AMG and CCEMG for robustness, and the DH causality approach. The long-run results specified that green innovation, utilizing nuclear energy resources, and improving energy productivity support decreasing consumption-based carbon emissions. This work recommended implementing the investment in green innovations, expanding nuclear energy consumption, and utilizing energy productivity to lower the existing consumption-based emissions level through policy implementation for G-7 nations.

관련 논문AI추천

Does nuclear energy reduce consumption-based carbon emissions: The role of environmental taxes and trade globalization in highest carbon emitting countriesMa Benjiang, Mehboob Muhammad Yasir, Sadiq Muhammad, Zhang Yunsheng한국원자력학회 · Nuclear Engineering and Technology2024 · 제56권 제1호Nuclear energy consumption, nuclear fusion reactors and environmental quality: The case of G7 countriesAyfer Gedikli, Mehmet Akif Oncü, Nigar Demircan Çakar, Seyfettin Erdogan한국원자력학회 · Nuclear Engineering and Technology2022 · 제54권 제4호The effect of nuclear energy on the environment in the context of globalization: Consumption vs production-based CO2 emissionsDanish, Recep Ulucak, Seyfettin Erdogan한국원자력학회 · Nuclear Engineering and Technology2022 · 제54권 제4호Evaluating the asymmetric effects of nuclear energy on carbon emissions in PakistanIlhan Ozturk, Isma Samreen, Muhammad Tariq Majeed, Tania Luni한국원자력학회 · Nuclear Engineering and Technology2022 · 제54권 제5호Environmental footprint impacts of nuclear energy consumption: The role of environmental technology and globalization in ten largest ecological footprint countriesDagestani Abd Alwahed, Sadiq Muhammad, Wen Fenghua한국원자력학회 · Nuclear Engineering and Technology2022 · 제54권 제10호A step towards a sustainable environment in top-10 nuclear energy consumer countries: The role of financial globalization and nuclear energyAli Mumtaz, Khalid Waqar, Samour Ahmed, Soomro Suhaib Ahmed, Tursoy Turgut한국원자력학회 · Nuclear Engineering and Technology2025 · 제57권 제1호

이 간행물의 다른 논문 (59건)

Hydrogen concentration prediction in a Passive Autocatalytic Recombiner using machine learning algorithms박성군, 정재훈, 김원준, Nguyen Duc HaySafety evaluation of transportation containers for radioactive material using equivalent test models양윤영, 강현구, 이주찬, 임종민, 도호성Development and validation of an aerosol transport module in the primary circuit for evaluating the retention of fission product particles released during severe accidents in nuclear power plantsZhang Bin, Xu Tao, Li Jishen, Zhou Haohao, Lyu Huanwen, Tan Yi, Zhang Hongyue, Wang JunlongIntegration of artificial intelligence within an advanced filtering framework for real-time system state estimation and risk prediction with application to a nuclear microreactorAhmed Ibrahim, Croci Andrea, Antonello Federico, Zio EnricoDynamic structural characteristics of rotor components during the start-up transition of the LFR main coolant pumpZhu Rongsheng, Lu Yonggang, Zhang Zequan, Liu Zhiwang, Presas Alexandre
원문 보기