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Macroeconomic impacts of oil price volatility: mitigation and resilience

Zoheir EBRAHIM, Oliver R. INDERWILDI, David A. KING

《能源前沿（英文）》 2014年第8卷第1期页码 9-24 doi: 10.1007/s11708-014-0303-0

摘要： Dependency on oil-derived fuels in various sectors, most notably in mobility, has left the global economy vulnerable to several macroeconomic economic side effects. Numerous studies have addressed the effect of price volatility on specific economic parameters. However, the current literature lacks a comprehensive review of the interactions between global macroeconomic performance and oil price volatility (OPV). Price volatility is intrinsic in commodity markets, but has been advancing at a faster rate in the crude oil market in comparison to other commodities over the past decade, reflecting the status of oil as the most globalised commodity. In this paper, the analytical literature review and analysis of the behavioral responses of macroeconomic agents to OPV shows that such volatility has several damaging and destabilizing macroeconomic impacts that will present a fundamental barrier to future sustainable economic growth if left unchecked. To ensure macroeconomic isolation from OPV, a combination of supply and demand-side policies have been recommended that can help to mitigate and build resilience to the economic uncertainty advanced by OPV.

关键词： conventional oil price volatility macroeconomy economic stability energy security

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The influence of social media on stock volatility

Xianjiao WU, Xiaolin WANG, Shudong MA, Qiang YE

《工程管理前沿（英文）》 2017年第4卷第2期页码 201-211 doi: 10.15302/J-FEM-2017018

摘要： This study explores the influence of social media on stock volatility and builds a feature model with an intelligence algorithm using social media data from Xueqiu.com in China, Sina Finance and Economics, Sina Microblog, and Oriental Fortune. We find that the effect of social factors, such as increased attention to a stock’s volatility, is more significant than public sentiment. A prediction model is introduced based on social factors and public sentiment to predict stock volatility. Our findings indicate that the influence of social media data on the next day’s volatility is more significant but declines over time.

关键词： stock volatility social data sentiment analysis boosting algorithm

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Partitioning of heavy metals during municipal solid waste incineration on a laboratory fluid bed furnace

LI Jianxin, YAN Jianhua, CHI Yong

《能源前沿（英文）》 2007年第1卷第3期页码 359-364 doi: 10.1007/s11708-007-0054-2

摘要： The content of heavy metals in the main physical compositions of municipal solid waste (MSW) is analyzed. The effects of temperature, chlorine and water on the partitioning of heavy metals are studied using a laboratory fluidized-bed (FB) furnace with simulated MSW composition. The experimental results show that temperature and chloride content in the feed have significant influence on the volatility of heavy metals, especially those of lower boiling point such as Hg, Cd and Zn. The influence of water is slight.

关键词： partitioning municipal volatility significant influence temperature