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Global Energy Price Volatility and Agricultural Commodity Prices in Malaysia. 全球能源价格波动与马来西亚农产品价格。
Pub Date : 2022-01-01 Epub Date: 2022-10-15 DOI: 10.1007/s41247-022-00105-1
Saeed Solaymani

Few studies have differentiated oil demand shocks from oil supply shocks in the literature that has investigated the impacts of these issues on the prices of agricultural products. This study attempts to investigate this problem by employing a structural vector autoregression (SVAR) technique on Malaysian data from January 1993 to December 2019. We found that the reactions of agricultural commodity prices to the changes in global oil prices largely depend on whether they result from oil demand shocks or oil supply shocks. Global oil demand shocks before the food price crisis (2006-2008) can explain a large share of the changes in prices of agricultural products, while after that period, their capacity to explain these changes becomes much weaker. After the food crisis period, the contribution of the oil supply shock to changes in the prices of agricultural products is higher than that of the oil demand shock. We can conclude that the role of oil supply in the economy in explaining changes in the prices of agricultural commodities is stronger after the food price crisis. This is because Malaysia's economy, as a net oil exporter, benefits from higher oil prices resulting in higher demand for agricultural products and, consequently, higher prices for agricultural commodities.

在研究这些问题对农产品价格影响的文献中,很少有研究将石油需求冲击与石油供应冲击区分开来。本研究试图通过对马来西亚 1993 年 1 月至 2019 年 12 月的数据采用结构向量自回归(SVAR)技术来研究这一问题。我们发现,农产品价格对全球石油价格变化的反应主要取决于石油需求冲击还是石油供应冲击。在粮食价格危机(2006-2008 年)之前,全球石油需求冲击可以解释农产品价格变动的很大一部分原因,而在这一时期之后,其解释这些变动的能力则大大减弱。在粮食危机时期之后,石油供应冲击对农产品价格变化的贡献要高于石油需求冲击。我们可以得出结论,在粮食价格危机之后,经济中的石油供应对农产品价格变化的解释作用更强。这是因为马来西亚作为一个石油净出口国,其经济受益于石油价格上涨,从而导致对农产品的需求增加,农产品价格也随之上涨。
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引用次数: 0
The Energy Return on Investment of Whole-Energy Systems: Application to Belgium. 全能源系统投资的能源回报:在比利时的应用。
Pub Date : 2022-01-01 Epub Date: 2022-10-19 DOI: 10.1007/s41247-022-00106-0
Jonathan Dumas, Antoine Dubois, Paolo Thiran, Pierre Jacques, Francesco Contino, Bertrand Cornélusse, Gauthier Limpens

Planning the defossilization of energy systems while maintaining access to abundant primary energy resources is a non-trivial multi-objective problem encompassing economic, technical, environmental, and social aspects. However, most long-term policies consider the cost of the system as the leading indicator in the energy system models to decrease the carbon footprint. This paper is the first to develop a novel approach by adding a surrogate indicator for the social and economic aspects, the energy return on investment (EROI), in a whole-energy system optimization model. In addition, we conducted a global sensitivity analysis to identify the main parameters driving the EROI uncertainty. This method is illustrated in the 2035 Belgian energy system for several greenhouse gas (GHG) emissions targets. Nevertheless, it can be applied to any worldwide or country energy system. The main results are threefold when the GHG emissions are reduced by 80%: (i) the EROI decreases from 8.9 to 3.9; (ii) the imported renewable gas (methane) represents 60 % of the system primary energy mix; (iii) the sensitivity analysis reveals this fuel drives 67% of the variation of the EROI. These results raise questions about meeting the climate targets without adverse socio-economic impact, demonstrating the importance of considering the EROI in energy system models.

规划能源系统的去化石化,同时保持对丰富的初级能源资源的获取,是一个涉及经济、技术、环境和社会各方面的重要的多目标问题。然而,在能源系统模型中,大多数长期政策都将系统成本作为减少碳足迹的主要指标。本文首次开发了一种新颖的方法,通过在全能源系统优化模型中添加社会和经济方面的替代指标,即能源投资回报率(EROI)。此外,我们进行了全球敏感性分析,以确定驱动EROI不确定性的主要参数。该方法在2035年比利时能源系统的几个温室气体(GHG)排放目标中得到了说明。然而,它可以适用于任何世界或国家的能源系统。当温室气体排放量减少80%时,主要有三个方面的结果:(1)EROI从8.9降低到3.9;(ii)进口可再生天然气(甲烷)占系统一次能源结构的60%;(iii)敏感性分析显示,该燃料驱动67%的EROI变化。这些结果提出了如何在不产生不利社会经济影响的情况下实现气候目标的问题,表明了在能源系统模型中考虑EROI的重要性。
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引用次数: 3
Deriving EROI for Thirty Large Oil Companies Using the CO2 Proxy from 1999 to 2018 1999 - 2018年30家大型石油公司的EROI分析
Pub Date : 2021-11-27 DOI: 10.1007/s41247-021-00095-6
Luciano Celi
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引用次数: 0
Analysis of the Long-Term Impact of Energy Expenditure on Economic Growth: A Case Study of China 能源消费对经济增长的长期影响分析——以中国为例
Pub Date : 2021-11-27 DOI: 10.1007/s41247-021-00094-7
Ke Zhao, Jingxuan Feng, Lianyong Feng
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引用次数: 0
A Comprehensive Net Energy Analysis and Outlook of Energy System in China 中国能源系统综合净能量分析与展望
Pub Date : 2021-11-25 DOI: 10.1007/s41247-021-00091-w
Hongshu Yan, Lianyong Feng, Jianliang Wang, Yuanying Chi, Yue Ma
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引用次数: 1
A Review at the Utilization of Renewable Energy in an Agricultural Operation 可再生能源在农业生产中的应用综述
Pub Date : 2021-11-14 DOI: 10.1007/s41247-021-00092-9
R. Babu, S. Raj, B. R. Prasad
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引用次数: 1
How Much Energy Storage can We Afford? On the Need for a Sunflower Society, Aligning Demand with Renewable Supply 我们能负担得起多少能源储存?向日葵社会的需要,调整需求与可再生供应
Pub Date : 2021-09-23 DOI: 10.1007/s41247-022-00097-y
Harald Desing, R. Widmer
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引用次数: 2
Do Primary Energy Consumption and Economic Growth Drive Each Other in Pakistan? Implications for Energy Policy 巴基斯坦一次能源消费与经济增长是否相互推动?对能源政策的影响
Pub Date : 2021-09-01 DOI: 10.1007/s41247-021-00090-x
Shazia Farhat Durrani, I. Jan, Munir Ahmad
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引用次数: 11
Energy Efficiency, Monetary Costs, and Sustainability of Brazilian Rainfed and Irrigated Rice Cropping Systems 巴西雨养和灌溉水稻种植系统的能源效率、货币成本和可持续性
Pub Date : 2021-08-21 DOI: 10.1007/s41247-021-00089-4
Elen Presotto, Gabrielli do Carmo Martinelli, G. Allegretti, E. Talamini
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引用次数: 1
Interdependence of Growth, Structure, Size and Resource Consumption During an Economic Growth Cycle 经济增长周期中增长、结构、规模与资源消耗的相互依存关系
Pub Date : 2021-06-04 DOI: 10.1007/s41247-021-00093-8
C. King
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引用次数: 5
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