Quantifying the Robustness of Countries’ Competitiveness by Network-Based Methods
In economic researches, much effort was devoted to the problem of how to increase the economics of countries. However, the development of a country may fluctuate a lot due to international and domestic problems. Thus, we should also evaluate the robustness of countries against unexpected economic re...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/5738135 |
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| _version_ | 1832565416763850752 |
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| author | Ming-Yang Zhou Xiao-Yu Li Wen-Man Xiong Hao Liao |
| author_facet | Ming-Yang Zhou Xiao-Yu Li Wen-Man Xiong Hao Liao |
| author_sort | Ming-Yang Zhou |
| collection | DOAJ |
| description | In economic researches, much effort was devoted to the problem of how to increase the economics of countries. However, the development of a country may fluctuate a lot due to international and domestic problems. Thus, we should also evaluate the robustness of countries against unexpected economic recessions. In this paper, we use perturbation to quantify the robustness of countries using two renowned algorithms: method of reflections (MR) and fitness-complexity method (FCM). The robustness characterizes the stability of countries’ competitiveness against economic recessions. The experiments in the international trade networks show that FCM could characterize the robustness better than MR. High fitness countries of FCM have strong robustness against economic crises, which enlarges the application fields of FCM. Additionally, we simulate the trade conflict between USA and China. The simulation results show that China suffers much in the trade conflict, while USA loses very little and has strong robustness in this conflict. |
| format | Article |
| id | doaj-art-01b209c40c4140f7a3cca65da4382575 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-01b209c40c4140f7a3cca65da43825752025-02-03T01:07:48ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/57381355738135Quantifying the Robustness of Countries’ Competitiveness by Network-Based MethodsMing-Yang Zhou0Xiao-Yu Li1Wen-Man Xiong2Hao Liao3Guangdong Province Key Laboratory of Popular High Performance Computers, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, ChinaGuangdong Province Key Laboratory of Popular High Performance Computers, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, ChinaGuangdong Province Key Laboratory of Popular High Performance Computers, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, ChinaGuangdong Province Key Laboratory of Popular High Performance Computers, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, ChinaIn economic researches, much effort was devoted to the problem of how to increase the economics of countries. However, the development of a country may fluctuate a lot due to international and domestic problems. Thus, we should also evaluate the robustness of countries against unexpected economic recessions. In this paper, we use perturbation to quantify the robustness of countries using two renowned algorithms: method of reflections (MR) and fitness-complexity method (FCM). The robustness characterizes the stability of countries’ competitiveness against economic recessions. The experiments in the international trade networks show that FCM could characterize the robustness better than MR. High fitness countries of FCM have strong robustness against economic crises, which enlarges the application fields of FCM. Additionally, we simulate the trade conflict between USA and China. The simulation results show that China suffers much in the trade conflict, while USA loses very little and has strong robustness in this conflict.http://dx.doi.org/10.1155/2018/5738135 |
| spellingShingle | Ming-Yang Zhou Xiao-Yu Li Wen-Man Xiong Hao Liao Quantifying the Robustness of Countries’ Competitiveness by Network-Based Methods Complexity |
| title | Quantifying the Robustness of Countries’ Competitiveness by Network-Based Methods |
| title_full | Quantifying the Robustness of Countries’ Competitiveness by Network-Based Methods |
| title_fullStr | Quantifying the Robustness of Countries’ Competitiveness by Network-Based Methods |
| title_full_unstemmed | Quantifying the Robustness of Countries’ Competitiveness by Network-Based Methods |
| title_short | Quantifying the Robustness of Countries’ Competitiveness by Network-Based Methods |
| title_sort | quantifying the robustness of countries competitiveness by network based methods |
| url | http://dx.doi.org/10.1155/2018/5738135 |
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