Economic Complexity Based Recommendation Enhance the Efficiency of the Belt and Road Initiative
Hao Liao,
Xiao-Min Huang,
Alexandre Vidmer,
Yi-Cheng Zhang,
Ming-Yang Zhou
Affiliations
Hao Liao
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
Xiao-Min Huang
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
Alexandre Vidmer
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
Yi-Cheng Zhang
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
Ming-Yang Zhou
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
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.
