Zeye Fu, Jiahao Zou, Luxin Han and Qi Zhang
A model for calculating the global overpressure time history of a single cloud detonation from overpressure time history of discrete positions in the range of single cloud…
Abstract
Purpose
A model for calculating the global overpressure time history of a single cloud detonation from overpressure time history of discrete positions in the range of single cloud detonation is to be proposed and verified. The overpressure distribution produced by multiple cloud detonation and the influence of cloud spacing and fuel mass of every cloud on the overpressure distribution are to be studied.
Design/methodology/approach
A calculation method is used to obtain the global overpressure field distribution after single cloud detonation from the overpressure time history of discrete distance to detonation center after single cloud detonation. On this basis, the overpressure distribution produced by multi-cloud under different cloud spacing and different fuel mass conditions is obtained.
Findings
The results show that for 150 kg fuel, when the spacing of three clouds is 40 m, 50 m, respectively, the overpressure range of larger than 0.1 MPa is 5496.48 mˆ2 and 6235.2 mˆ2, which is 2.89 times and 3.28 times of that of single cloud detonation. The superposition effect can be ignored when the spacing between the three clouds is greater than 60 m. In the case of fixed cloud spacing, once the overpressure forms continuous effective superposition, the marginal utility of fuel decreases.
Originality/value
A model for calculating the global overpressure time history of a single cloud detonation from overpressure time history of discrete positions in the range of single cloud detonation is proposed and verified. Based on this method, the global overpressure field of single cloud detonation is reconstructed, and the superimposed overpressure distribution characteristics of three cloud detonation are calculated and analyzed.
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Zhouhai Chen, Hong Wang and Jiahao Hu
Food labels are increasingly used to provide information to consumers. As a common design strategy used for food package labels globally, label frame is often used to expand the…
Abstract
Purpose
Food labels are increasingly used to provide information to consumers. As a common design strategy used for food package labels globally, label frame is often used to expand the perceived breadth of a brand and create a broader brand image. We evaluated the effect of the presence or absence of a non-genetically modified organism (non-GMO) label frame on consumers' preferences for non-GMO foods.
Design/methodology/approach
This study collected data from 120 MBA students at a university in Sichuan, China, and 126 foreign volunteers in a shopping mall in Chengdu, Sichuan Province. The study investigates the effect of the presence or absence of non-GMO label frame (i.e. label with or without an outline) on non-GMO food preferences through a field survey and two controlled experiments. To empirically analyse the psychological mechanisms by which non-GMO label frames affect consumers' preferences for non-GMO food, we set up the mediating variable of food association of safety.
Findings
For ordinary consumers, a framed non-GMO label is more likely to evoke food association of safety and further enhance consumer preference for non-GMO foods. It facilitates consumers' choice of healthier foods. This finding did not otherwise vary across demographic characteristics.
Originality/value
This study is the first to examine the influence of non-GMO label frames on consumers' non-GMO food preferences, which is an innovative research question. The findings of this study are instructive for food manufacturers and policymakers to better design and use non-GMO label frames to attract more consumers to choose non-GMO foods.
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Jiahao Zhang and Yu Wei
This study conducts a comparative analysis of the diversification effects of China's national carbon market (CEA) and the EU ETS Phase IV (EUA) within major commodity markets.
Abstract
Purpose
This study conducts a comparative analysis of the diversification effects of China's national carbon market (CEA) and the EU ETS Phase IV (EUA) within major commodity markets.
Design/methodology/approach
The study employs the TVP-VAR extension of the spillover index framework to scrutinize the information spillovers among the energy, agriculture, metal, and carbon markets. Subsequently, the study explores practical applications of these findings, emphasizing how investors can harness insights from information spillovers to refine their investment strategies.
Findings
First, the CEA provide ample opportunities for portfolio diversification between the energy, agriculture, and metal markets, a desirable feature that the EUA does not possess. Second, a portfolio comprising exclusively energy and carbon assets often exhibits the highest Sharpe ratio. Nevertheless, the inclusion of agricultural and metal commodities in a carbon-oriented portfolio may potentially compromise its performance. Finally, our results underscore the pronounced advantage of minimum spillover portfolios; particularly those that designed minimize net pairwise volatility spillover, in the context of China's national carbon market.
Originality/value
This study addresses the previously unexplored intersection of information spillovers and portfolio diversification in major commodity markets, with an emphasis on the role of CEA.