Examining the consumption of oil on total factor productivity and CO2 emissions: an analysis of highly oil-consuming countries

IF 2.5 Q3 MANAGEMENT
Mohd Arshad Ansari, Mohammad Rais Ahmad, Pushp Kumar, A. Yadav, Rajveer Kaur Ritu
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Abstract

Purpose This study aims to examine the impact of oil consumption on carbon dioxide (CO2) emissions and total factor productivity (TFP) in highly oil-consuming countries of the world from 1995 to 2019. Design/methodology/approach For this purpose, fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) are applied. Findings FMOLS and DOLS models reveal that oil consumption, human capital, population, trade openness and nonrenewable energy have a significant positive effect on CO2 emissions. While information and communication technology (ICT), as proxied by mobile and natural resources, has a significant negative effect on CO2 emissions. In the case of TFP, oil consumption, ICT and natural resources have a significant positive effect on the TFP. On the other hand, trade openness, population, human capital and nonrenewable energy have a significant negative effect on TFP. The results of this study can help to provide policy recommendations to reduce CO2 emissions in studied highly oil-consuming countries of the world. Originality/value Due to the threat to sustainable development, climate change has become a major topic for debate around the world. The influence of oil consumption on CO2 emission and TFP is less known in the available literature. Another significance of this study is that many researchers considered aggregate energy consumption to study this relationship, but the authors have studied the effect of energy consumption, particularly from oil in the top oil-consuming countries, which is a significant shortcoming of the present research.
研究石油消费对全要素生产率和二氧化碳排放的影响:对高石油消费国的分析
目的 本研究旨在探讨 1995 年至 2019 年期间石油消费对世界高石油消费国二氧化碳(CO2)排放量和全要素生产率(TFP)的影响。 设计/方法/途径 为此采用了完全修正普通最小二乘法(FMOLS)和动态普通最小二乘法(DOLS)。 研究结果 FMOLS 和 DOLS 模型显示,石油消费、人力资本、人口、贸易开放度和不可再生能源对二氧化碳排放有显著的正向影响。而以移动和自然资源为代表的信息和通信技术(ICT)对二氧化碳排放有明显的负面影响。就全要素生产率而言,石油消费、信息和通信技术以及自然资源对全要素生产率有显著的正向影响。另一方面,贸易开放度、人口、人力资本和不可再生能源对全要素生产率有明显的负面影响。本研究的结果有助于为所研究的世界高石油消耗国家提供减少二氧化碳排放的政策建议。 独创性/价值 由于可持续发展受到威胁,气候变化已成为全世界争论的主要话题。石油消费对二氧化碳排放和全要素生产率的影响在现有文献中鲜为人知。本研究的另一个意义在于,许多研究者在研究这一关系时考虑的是能源消费总量,但作者研究的是能源消费的影响,尤其是石油消费大国的石油消费影响,这是本研究的一个重大缺陷。
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来源期刊
CiteScore
6.80
自引率
22.60%
发文量
63
期刊介绍: The International Journal of Energy Sector Management aims to facilitate dissemination of research on issues relating to supply management (covering the entire supply chain of resource finding, extraction, production, treatment, conversion, transportation, distribution and retail supply), demand and usage management, waste management, customer and other stakeholder management, and solutions thereto. The journal covers all forms of energy (non-renewable and renewable), forms of supply (centralised or decentralised), ownership patterns (public or private, cooperative, joint, or any other), market structures (formal, informal, integrated, disintegrated, national, international, local, etc.) and degress of commoditisation (e.g. internationally traded, regionally traded, non-traded, etc.). The journal aims to cover a wide range of subjects relevant to the management of the energy sector, including but not limited to: Management of scarce resources (economic, financial, human and natural), projects, activities and concerns (e.g. regulatory, social and environmental aspects), technologies and knowledge Business strategy, policy and planning as well as decision support systems for energy sector management Business organisation, structure and environment, and changes thereto Globalisation and multi-cultural management Management of innovation, change and transition.
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