Economic Complexity Based Recommendation Enhance the Efficiency of the Belt and Road Initiative
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National Engineering Laboratory on Big data Application on Improving Government Governance Capabilities, Guangdong Province Key Laboratory of Popular High Performance Computers, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China
2
Department of Physics, University of Fribourg, Chemin du Musée 3, 1700 Fribourg, Switzerland
*
Author to whom correspondence should be addressed.
Entropy 2018, 20(9), 718; https://doi.org/10.3390/e20090718
Received: 31 July 2018
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Revised: 14 September 2018
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Accepted: 17 September 2018
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Published: 19 September 2018
(This article belongs to the Special Issue Economic Fitness and Complexity)
The Belt and Road initiative (BRI) was announced in 2013 by the Chinese government. Its goal is to promote the cooperation between European and Asian countries, as well as enhancing the trust between members and unifying the market. Since its creation, more and more developing countries are joining the initiative. Based on the geographical location characteristics of the countries in this initiative, we propose an improvement of a popular recommendation algorithm that includes geographic location information. This recommendation algorithm is able to make suitable recommendations of products for countries in the BRI. Then, Fitness and Complexity metrics are used to evaluate the impact of the recommendation results and measure the country’s competitiveness. The aim of this work is to provide countries’ insights on the ideal development direction. By following the recommendations, the countries can quickly increase their international competitiveness.
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MDPI and ACS Style
Liao, H.; Huang, X.-M.; Vidmer, A.; Zhang, Y.-C.; Zhou, M.-Y. Economic Complexity Based Recommendation Enhance the Efficiency of the Belt and Road Initiative. Entropy 2018, 20, 718. https://doi.org/10.3390/e20090718
AMA Style
Liao H, Huang X-M, Vidmer A, Zhang Y-C, Zhou M-Y. Economic Complexity Based Recommendation Enhance the Efficiency of the Belt and Road Initiative. Entropy. 2018; 20(9):718. https://doi.org/10.3390/e20090718
Chicago/Turabian StyleLiao, Hao, Xiao-Min Huang, Alexandre Vidmer, Yi-Cheng Zhang, and Ming-Yang Zhou. 2018. "Economic Complexity Based Recommendation Enhance the Efficiency of the Belt and Road Initiative" Entropy 20, no. 9: 718. https://doi.org/10.3390/e20090718
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