ENERGY JOURNAL能源杂志
ENERGY JOURNAL(英文缩写 ENERG J),ISSN 0195-6574,eISSN 1944-9089,中文译名:能源杂志 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：2025-10-01 至 2026-09-30，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 | 3.494 | Q2 |
| 2022 | 2.900 | Q2 |
| 2023 | 1.900 | Q2 |
| 2024 | 2.400 | Q2 |
| 2025 | 2.800 | Q1 |
ENERGY JOURNAL 最新收录文献
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1. Speculative Trading in Energy Markets: Evidence from Macroeconomic Surprises.
PMID:日期:2025-10-24Speculative trading in energy and commodity markets has been blamed for increased volatility, price distortions, and market inefficiency, with negative effects on the real economy. We take a new approach to investigate the impact of speculative trading using macroeconomic announcements and high-frequency data. We study the impact of twenty-six macroeconomic announcement releases on energy commodities (crude oil, natural gas) as our baseline case, which we contrast with metals (gold, silver, copper, and palladium). We find that increased speculative trading lessens the impact of macroeconomic surprises on futures markets, as measured by price drift, volatility, and bid-ask spreads. Our full-sample results show that increased trading by speculators improves liquidity and price discovery, while reducing volatility. We document a damping effect on volatility that is stronger for procyclical commodities such as crude oil and natural gas than for precious metals such as gold, which is a safe haven. In sub-sample analysis where we separate the effects of money managers and swap dealers, we find that the positive effects that we document are driven by money managers. Since traditional market participants prefer stability, our results suggest a beneficial impact of increased trading and speculation. G13 - Contingent Pricing; Futures Pricing; option pricing; G14 - Information and Market Efficiency; Event Studies; Insider Trading; Q41 - Energy: Demand and Supply; Prices; Q43 - Energy and the Macroeconomy.
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2. Energetic and Economic Aspects of Rebound, Part II: Applications of the Framework.
PMID:日期:2025-07-24Widespread implementation of energy efficiency is a key greenhouse gas emissions mitigation measure, but rebound can "take back" energy savings. However, the absence of solid analytical foundations hinders empirical determination of rebound magnitudes. In Part I, we developed foundations of a rigorous, analytical, consumer-sided rebound framework that is approachable for both energy analysts and economists. In this paper (Part II), we develop energy, expenditure, and consumption planes, a novel, mutually consistent, and numerically precise way to visualize and illustrate rebound. Further, we operationalize the macro factor ( ) for macroeconomic rebound. Using the framework and rebound planes, we calculate and show total rebound (using ) for two examples: energy efficiency upgrades of a car (56.2%) and an electric lamp (67.0%). We also calculate rebound when extending the framework to include an energy price effect. Finally, we provide information about new open-source software tools for calculating rebound magnitudes and visualizing rebound effects. O13, Q40, Q43.
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3. Energetic and Economic Aspects of Rebound, Part I: Foundations of a Rigorous Analytical Framework.
PMID:日期:2025-07-07Widespread implementation of energy efficiency is a key greenhouse gas emissions mitigation measure, but rebound can "take back" energy savings. However, the absence of solid analytical foundations hinders empirical determination of the size of rebound. A new clarity is needed, one that involves both economics and energy analysis. In this paper (Part I), we advance foundations of a rigorous analytical framework for consumer-sided rebound that starts at the microeconomic level and is approachable for both energy analysts and economists. We develop foundations of a framework that (i) clarifies the energy, expenditure, and consumption aspects of rebound, (ii) combines embodied energy with operations, maintenance, and disposal effects (under a new "emplacement effect"), and (iii) provides the first operationalized link between microeconomic and macroeconomic levels. The framework enables determination of the effects of non-marginal energy service price decreases, satiated demand for the energy service, and reduced economy-wide energy demand. : O13, Q40, Q43.