2021
DOI: 10.1038/s41598-021-89519-3
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Entropic measure unveils country competitiveness and product specialization in the World trade web

Abstract: We show how the Shannon entropy function can be used as a basis to set up complexity measures weighting the economic efficiency of countries and the specialization of products beyond bare diversification. This entropy function guarantees the existence of a fixed point which is rapidly reached by an iterative scheme converging to our self-consistent measures. Our approach naturally allows to decompose into inter-sectorial and intra-sectorial contributions the country competitivity measure if products are partit… Show more

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Cited by 12 publications
(6 citation statements)
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“…Among these indicators, indicator A comprises TC, while indicator B comprises AMS, EP, and RCA. Due to the varying degrees of variation exhibited by each indicator, Entropy-TOPSIS was employed to adjust the weights of each indicator, thereby deriving the indicator weights and measurements 28 , 29 .The advantages of choosing Entropy-Topsis are mainly reflected in the following three points: (1) The classical Topsis method assigns the same weights to each indicator by default, which may influence the results to a certain extent. In contrast, the use of Entropy-Topsis can reduce the subjective assignment of weights, thereby minimizing bias; (2) Entropy-Topsis, in comparison to other methods, transforms numerical values into a sorted evaluation, making it more convenient for the comprehensive evaluation of the international competitiveness of industries; (3) Through Entropy-Topsis, multiple basic indicators are integrated, making it more suitable for reflecting the comprehensive level of the research object, especially when it is characterized by complexity.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Among these indicators, indicator A comprises TC, while indicator B comprises AMS, EP, and RCA. Due to the varying degrees of variation exhibited by each indicator, Entropy-TOPSIS was employed to adjust the weights of each indicator, thereby deriving the indicator weights and measurements 28 , 29 .The advantages of choosing Entropy-Topsis are mainly reflected in the following three points: (1) The classical Topsis method assigns the same weights to each indicator by default, which may influence the results to a certain extent. In contrast, the use of Entropy-Topsis can reduce the subjective assignment of weights, thereby minimizing bias; (2) Entropy-Topsis, in comparison to other methods, transforms numerical values into a sorted evaluation, making it more convenient for the comprehensive evaluation of the international competitiveness of industries; (3) Through Entropy-Topsis, multiple basic indicators are integrated, making it more suitable for reflecting the comprehensive level of the research object, especially when it is characterized by complexity.…”
Section: Methodsmentioning
confidence: 99%
“…However, there are dissenting voices arguing that in the context of today's global value chain division of labor, a single RCA indicator cannot accurately capture competitiveness 26 , 27 . Therefore, we draw upon existing studies 20 , 28 , 29 and employ Entropy-Topsis to construct a comprehensive evaluation index system for assessing the international competitiveness of industries from a trade perspective.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The use of a single-indicator measurement has also been the subject of controversy and doubt 26,27 . Therefore, we draw upon existing studies 20,28,29 and employ Entropy-Topsis to construct a comprehensive evaluation index system for assessing the international competitiveness of industries from a trade perspective.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Overbury [18] believed that in a closed-loop economic system, minimizing entropy could reduce economic costs, save resources, and control disasters. Teza [19] measured the complexity of national economic efficiency and product diversification through Shannon entropy, and demonstrated its results in a network model between two layers composed of 5016 (products) and 223 (countries) nodes. For waste utilization, Busu [20] constructed a mathematical model of circular economy, based on the second law of thermodynamics, he evaluated the process of circular economy in the EU, and verified the correctness of the results through Shannon entropy.…”
Section: The Complexity Of Dynamic Iterative Modelmentioning
confidence: 99%
“…The complexity of multi-layer price and information competition model Overbury [18]; Teza [19]; Busu [20]; Lou [21]…”
Section: Rapid Price or Output Changes Can Cause Chaosmentioning
confidence: 99%