Exploring the risk and economic vulnerability of global energy supply chain interruption in the context of Russo-Ukrainian war

Cui, Lianbiao; Yue, Suyun; Nghiem, Xuan-Hoa; Duan, Manli

doi:10.1016/j.resourpol.2023.103373

Cited by 87 publications

(29 citation statements)

References 17 publications

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“…6. The dampening effects of green finance and the Russia–Ukrainian war on CO2 emissions have been confirmed by Bakry et al . (2023a) for developing countries and Cui et al . (2023) for several countries only.…”

Section: Notesmentioning

confidence: 97%

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Does technological progress make OECD countries greener? New evidence from panel CS-ARDL

Nghiem

Bakry

Al‐Malkawi

et al. 2023

MEQ

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PurposeThis paper aims to examine the impact of information and telecommunication technologies (ICT-proxied by mobile phone subscription and Internet usage) on carbon dioxide (CO2) emissions in the Organization for Economic Cooperation and Development (OECD) countries from 1990 to 2018.Design/methodology/approachThe Cross-section Autoregressive Distributed Lag (CS-ARDL) model is employed to address the potential cross-section dependence problem. Common Correlated Effects Mean Group (CCEMG) and Augmented Mean Group (AMG) estimators are used to test for robustness of results.FindingsResults reveal contrasting effects of mobile phone subscription and Internet usage on CO2 emissions. While mobile phone penetration helps mitigate CO2 emissions, Internet usage tends to increase the emissions. Findings show that renewable energy is beneficial to the environment while economic growth is harmful to the environment. The effects of financial development and trade openness seem negligible.Practical implicationsThis study offers practical implications for policymakers. As different proxies of ICT could have contradictory impact on CO2, governments should be cautious against utilizing ICT to mitigate CO2. Findings point to the benefits of renewable energy in alleviating CO2 emissions. Therefore, governments are strongly advised to implement policies facilitating renewable energy consumption.Originality/valuePrevious studies ignored the problem of cross-section dependence which could lead to biased results and cause misleading inferences. This study aims to fill this void in the literature.

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Section: Notesmentioning

confidence: 97%

“…6. The dampening effects of green finance and the Russia-Ukrainian war on CO2 emissions have been confirmed by Bakry et al (2023a) for developing countries and Cui et al (2023) for several countries only. However, there has been no study on the impact of green finance and other unexpected events on CO2 emissions in the OECD.…”

mentioning

confidence: 88%

Does technological progress make OECD countries greener? New evidence from panel CS-ARDL

Nghiem

Bakry

Al‐Malkawi

et al. 2023

MEQ

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“…With many years of unceasing efforts, the EU countries have already realized the primitive accumulation for their renewables industries. However, after the outbreak of the Russia‐Ukraine conflict , crises such as soaring energy prices and energy supply security have suddenly turn that efforts into a shackle that restrict the development of the EU (Cui et al, 2023). Consequently, in 2022 the EU launched the REPowerEU program, which aims to gradually terminate the EU's dependence on Russian fossil fuels by 2030.…”

Section: Introductionmentioning

confidence: 99%

Assessing the efficiency and the justice of energy transformation for the United States of America, China, and the European Union

Liu

Zhao

Han

2023

Sustainable Development

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A conceptual framework is constructed to discuss the Energy Transformation Efficiency and the Energy Transformation Justice for Carbon Neutrality and sustainable development. Both the Slack Based Measure‐based Efficiency Model and the improved Energy Transformation Justice Model are applied to measure the transformation efficiency and the transformation justice respectively. Then for empirical analysis, the influencing mechanism of the energy transformation efficiency and justice on the energy economy is analyzed by using the panel data of the USA, China and the EU from 2000 to 2020 with the Panel Smooth Transition Regression (PSTR). The results reveal that: The energy transformation efficiency requires a subtle balance between three essential inputs and two important outputs, while the energy transformation justice associated with five dimensions can describe both the equal opportunity and the procedural justice. Both the energy transformation efficiency and the energy transformation justice are improving year by year, and they are not completely mutually exclusive at present. As far as the performance is concerned, the EU is the best of all at both the efficiency and the justice, the USA is better than China at the justice, but China is better than the USA at the efficiency. In terms of interrelationship, there is an obvious Regime Switching Effect when the energy transformation efficiency and justice influencing on the energy economy growth. Furthermore, note that the state transition of both the efficiency and the justice can be limited by the economic situation of energy sector in each economy.

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“…Energy is one of the most viable resources to fulfill the multi-criteria assessment [1]. The crisis in energy has been triggered by the Russo-Ukrainian war [2]. The production and consumption of energy in industrialized nations have been extensively studied [3], but studies on the efficient consumption of energy in developing countries have either not been done or have only recently been started.…”

Section: Introductionmentioning

confidence: 99%

A Robust Optimization Approach for Smart Energy Market Revenue Management

Zhang,

Sun,

Yang

et al. 2023

Energies

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We propose a network optimization model for smart energy market management in the context of an uncertain environment. The network optimization considers the stochastic programming approach to capture the randomness of the unknown demands. We utilize the particle swarm optimization technique in the proposed model to solve the proposed optimization problem. The present research is based on the inclusion of stochastic demands and uncertain energy prices. Optimizing produced energy is crucial for efficient usage and meeting the targets. The proposed model also focuses on addressing sustainability concerns by minimizing energy consumption in the scheduling process. An improved particle swarm optimization technique is implemented for energy-efficient production. Parameters such as number of particles, iterations, and energy usage specification are customized. A fitness function is taken that considers both completion time and energy consumption. The optimal of energy consumption is also visualized. The decision makers employ risk aversion in the objective function of the optimization problem to measure the risk deviation of the expected energy management.

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Exploring the risk and economic vulnerability of global energy supply chain interruption in the context of Russo-Ukrainian war

Cited by 87 publications

References 17 publications

Does technological progress make OECD countries greener? New evidence from panel CS-ARDL

Does technological progress make OECD countries greener? New evidence from panel CS-ARDL

Assessing the efficiency and the justice of energy transformation for the United States of America, China, and the European Union

A Robust Optimization Approach for Smart Energy Market Revenue Management

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