Research on Nickel Material Trade Redistribution Strategy Based on the Maximum Entropy Principle

In the double carbon background, riding the wind of new energy vehicles and the battery high nickelization, nickel resources rise along with the trend. In recent years, due to the influence of geopolitical conflicts and emergencies, as well as the speculation and control of international capital with its advantages and rules, the world may face price and security supply risks to a certain extent. Therefore, to obtain the most objective trade redistribution strategy, this paper first constructs the nickel material trade network, identifies the core trading countries and the main trade relations of nickel material trade, and finds that the flow of nickel material mainly occurred between a few countries. On this basis, a trade redistribution model is constructed based on the maximum entropy principle. Taking Indonesia, the largest exporter, and the largest trade relationship (Indonesia exports to China) as examples, the nickel material redistribution between countries when different supply risks occur are simulated. The results can provide an important reference for national resource recovery after the risk of the nickel trade

Complex network of strength price index correlations.

<p>The 4 blue nodes are isolated nodes that have no strong correlation with any other nodes.</p

Structural holes hierarchy of price indices with a degree of influence no less than 10 (top 10 price indices).

<p>Structural holes hierarchy of price indices with a degree of influence no less than 10 (top 10 price indices).</p

The value of the weighted degree of the price index (top 10).

<p>The value of the weighted degree of the price index (top 10).</p

Proportions of macro price indices with correlation relationships.

<p>Proportions of macro price indices with correlation relationships.</p

The <i>k</i>-core in the Price index correlation network structure.

<p>The class of group cluster is shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0061091#pone.0061091.s002" target="_blank">Table S2</a>.</p

Group clusters.

<p><i>g</i> = 17, <i>k</i> = 2.</p

Weighted degree of the macro price index.

<p>Weighted degree of the macro price index.</p

Two measures of PIWN connectivity as a function of the parameter <i>r</i>.

<p>The value <i>r</i> = 0.82 is the measure used in this paper.</p

Distribution of the price index.

<p>A weighted degree between 4.8 and 44.8, following a normal distribution with a confidence level of 0.77.</p