Energy Economics能源经济学
Energy Economics(英文缩写 ENERG ECON),ISSN 0140-9883,eISSN 1873-6181,中文译名:能源经济学 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-11-01 至 2026-10-31，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 9.252 | Q1 |
| 2022 | 12.800 | Q1 |
| 2023 | 13.600 | Q1 |
| 2024 | 14.200 | Q1 |
| 2025 | 13.500 | Q1 |
Energy Economics 最新收录文献
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1. Evaluating Economy-Wide Impacts of Complex Regulations: A Hybrid Linking Approach for Detailed Sector and CGE Models.
1. 评估复杂法规的全经济影响：针对详细部门模型和CGE模型的混合链接方法PMID:日期:2025-05-01We develop a novel methodology for linking a detailed sector model with a computable general equilibrium (CGE) model to estimate the economy-wide social costs and distributional impacts of a complex environmental regulation when an iterative linkage between models is not possible. We demonstrate the linking approach using stylized compliance choices and costs that are consistent with the types of model outputs typically available from a technology-rich sector model. We use this stylized information to calibrate parameters that produce an identical equilibrium response in a corresponding partial equilibrium sub-model of the CGE model. The calibrated parameters, which represent the regulatory requirements, are then passed to the full CGE model to estimate general equilibrium impacts. This methodology allows us to translate partial equilibrium impacts into economy-wide impacts while retaining consistency with the projected compliance behavior from the sector model. We provide a worked example for an illustrative electricity sector regulation using U.S. EPA's CGE model, SAGE, and also discuss the challenges of operationalizing this methodology in a real-world setting.
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2. Insights from Adding Transportation Sector Detail into an Economy-Wide Model: The Case of the ADAGE CGE Model.
2. 将交通部门细节添加到经济范围模型中的见解：ADAGE CGE模型的案例PMID:日期:2023-07Computable general equilibrium (CGE) models provide valuable insights into economy-wide impacts of anticipated future structural changes in the transportation sector, yet few CGE models offer detailed transportation representations. We use an enhanced Applied Dynamic Analysis of the Global Economy (ADAGE) CGE model to incorporate disaggregated transportation modes and technologies in on-road passenger and freight transportation. We assess the impacts of these inclusions on U.S. transportation patterns, energy consumption and greenhouse gas emissions. Simulating illustrative global oil price cases with and without transportation detail, we find subsector mode disaggregation and technology additions in a CGE model significantly alter the impacts of oil prices on global trade and freight patterns, energy consumption, and greenhouse gas (GHG) emissions. We find that: (1) alternative technologies are essential for capturing transportation sector impacts, (2) electrification may reduce emissions with electricity decarbonization, and (3) higher oil prices may hasten electrification.
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3. Forecasting crude oil prices in the COVID-19 era: Can machine learn better?
3. 新冠疫情时代的原油价格预测：机器学习能做得更好吗？PMID:日期:2023-06-15Since the onset of the COVID-19 pandemic, energy price predictability has worsened. We evaluate the effectiveness of the two machine learning methods of shrinkage and combination on the spot prices of crude oil before and during the COVID-19 epidemic. The results demonstrated that COVID-19 increased economic uncertainty and diminished the predictive capacity of numerous models. Shrinkage methods have always been regarded as having an excellent out-of-sample forecast performance. However, during the COVID period, the combination methods provide more accurate information than the shrinkage methods. The reason is that the outbreak of the epidemic has altered the correlation between specific predictors and crude oil prices, and shrinkage methods are incapable of identifying this change, resulting in the loss of information.
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4. COVID-induced sentiment and the intraday volatility spillovers between energy and other ETFs.
4. 新冠疫情引发的情绪与能源及其他ETF之间的日内波动溢出效应PMID:日期:2023-04-20Did Covid19 induce market turmoil impact the intraday volatility spillovers between energy and other ETFs?. To examine this, we first estimate the realized volatility of ETFs using the 5-min high-frequency data. Next, we employ time-varying parameter vector autoregressions (TVP-VAR). Finally, we utilize the wavelet coherence measure to test the time-frequency impact of COVID-induced sentiment on the spillovers by employing investors' psychological and behavioural factors. We find that oil and stock markets are net transmitters while currency, bonds, and silver markets are net receivers. The wavelet analysis embarked significant impact of media coverage and fake news index towards shaping investors' pessimism for their investments. We proposed useful implications for policymakers, governments, investors, and portfolio managers.
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5. The role of the COVID-19 pandemic in time-frequency connectedness between oil market shocks and green bond markets: Evidence from the wavelet-based quantile approaches.
PMID:日期:2023-04-06This study contributes to the existing literature on the relationship between oil market shocks and the green bond market by investigating the impact of the COVID-19 pandemic on their dynamic correlation. We first decompose the oil market shocks into components using a time-frequency framework. Then, we combine wavelet decomposition and quantile coherence and causality methods to discuss changes during the COVID-19 era. We observe positive effects of both supply-driven and demand-driven oil shocks on the green bond market at most quantile levels. However, supply-driven oil price changes play a major role. The results also indicate that long-term changes have a greater impact than short-term changes on the connection between oil and green bond markets. Nevertheless, the COVID-19 pandemic changed the nature of the causal relationship, as we observed no relationship under extreme market conditions during the pandemic era. We argue that the economic and social impacts of the COVID-19 pandemic have left investors focusing on the short-term substitution between oil and green bond markets.
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6. A threshold effect of COVID-19 risk on oil price returns.
6. COVID-19风险对油价收益的阈值效应PMID:日期:2023-03-09Using U.S. data, we investigate how the COVID-19 pandemic influences oil price returns in an asset pricing framework. Unlike earlier studies, we consider a threshold model to allow for the possibility that COVID-19 risk may not play a role until it reaches a certain level. Based on WTI crude oil spot price data from January 2020 to December 2021, our findings show that oil returns significantly decline with the daily number of COVID-19 deaths but only if the daily death toll exceeds approximately 2100. In addition, a more severe COVID-19 pandemic can substantially increase the exposure of oil returns to various systematic risk factors, which has not been documented in previous literature.
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7. COVID-19 and the quantile connectedness between energy and metal markets.
7. COVID-19与能源和金属市场之间的分位数关联性PMID:日期:2022-11-26This study analyzes the relationship between clean and dirty energy sources and energy metals during the COVID-19 pandemic. We document a sharp increase in connectedness after the COVID-19 pandemic, that is asymmetric at the lower and upper quantiles, with stronger dependence among the variables at the upper quantiles. Among the energy metals, cobalt is the least connected to the energy markets. Finally, our empirical results show a switch in the net connectedness indexes of energy metals and clean energy after January 2021. Our results have implication for investors and policy makers for energy and metal under various market conditions.
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8. Measuring downstream supply chain losses due to power disturbances.
8. 衡量电力扰动造成的下游供应链损失PMID:日期:2022-10Power outages in the U.S. affect many firms' economic activity and are likely to result in downstream supply chain disruptions. This paper examines the impact of power disturbances in the supply chain for four industries: manufacturing, durable goods manufacturing, nondurable goods manufacturing, and total private industry. This indirect impact includes the losses at downstream firms that might not receive supplies on time due to disturbances at their suppliers' facilities. This is measured using observations of value added before and after power disturbances rather than the more common method of modeling an economy. This paper tests four hypotheses related to the effect of power disturbances with all four of them being supported by the model results. Further, using simulation we estimate the indirect costs of power disturbances. The results suggest that power disturbances have a statistically significant effect on gross domestic product (i.e., value added), particularly in manufacturing where power disturbances in the supply chain had a statistically significant effect. While this industry represents 12.8 % of private industry value added, it experiences 36.8 % of the supply chain losses due to power disturbances, as suggested by the results of the simulation. Power disturbances in the supply chain affected all four industries with nondurable goods being affected the most. This creates a significant disconnect between the stakeholder that invests in reliability in the power grid and the stakeholders that experience the bulk of losses.
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9. The discrepancies in the impacts of COVID-19 lockdowns on electricity consumption in China: Is the short-term pain worth it?
9. 新冠肺炎封锁措施对中国电力消费影响的差异：短期阵痛是否值得？PMID:日期:2022-09-15The COVID-19 pandemic caused severe economic contraction and paralyzed industrial activity. Despite a growing body of literature on the impacts of COVID-19 mitigation measures, scant evidence currently exists on the impacts of lockdowns on the economic and industrial activities of developing countries. Our study provides an empirical assessment of lockdown measures using 298,354 data points on daily electricity consumption in 396 sub-industries. To infer causal relationships, we employ difference-in-differences models that compare cities with and without lockdown policies and provide quantitative evidence on whether the long-term gain of lockdowns outweighs the short-term loss. The results show that lockdown policies led to a significant short-term drop in electricity consumption of 15.2% relative to the control group. However, the electricity loss under the no-lockdown scenario is 2.6 times larger than that under the strict lockdown scenario within 4 months of the outbreak. Discrepancies in the impacts among industries are identified, and even within the same industry, lockdowns have heterogeneous effects. The impact of lockdowns on small and medium-sized enterprises in developing countries is seriously underestimated, raising concerns about the distributional impact of subsidy measures. This study serves as a crucial reference for the government when facing public health emergencies and shocks to support better policies.
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10. Financing national scale energy projects in developing countries - An economy-wide evaluation of Ghana's Bui Dam.
PMID:日期:2022-07Large energy infrastructure can imply special financing arrangements between governments in developing economies and investors or lenders. These arrangements can lead to economy-wide and sector-specific impacts which need to be considered in the project economic evaluation. By considering the case of the Bui Dam in Ghana, we use a macroeconomic approach to determine how the economic performance of critical energy infrastructure manifests during the construction, financing and operation phases. The analysis uses an integrated modelling framework that combines a Computable General Equilibrium (CGE) model of Ghana with a water balance model of the Lower Volta River Basin. The results highlight the importance of including indirect and induced effects, in addition to the direct effects from project operation, as they influence the scale and temporal evolution of the economic impacts. The collateral from the infrastructure loan agreement consisting in cocoa exports to China nearly doubles the project's positive GDP impact and has a significant multiplier effect over urban and rural household income compared to a standard commercial loan. We finish with a discussion of how the proposed investment-oriented modelling framework can contribute to ex-ante strategic assessments of proposed energy infrastructure in developing countries.