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Investment Risk Assessment and Control Strategy About Countries Along the Belt and Road Based on the TOPSIS Methods

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Recent Trends in Decision Science and Management

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1142))

Abstract

This paper establishes five major indicators of political risk, economic foundation, diplomatic relations, solvency, and social resilience and 39 secondary indicators of the national investment risk assessment index system along the belt and road. In each of the first-level indicators, the linear comprehensive evaluation model is used to analyze the risk along the countries along the belt and road. Finally, the risk rankings of countries under this index are obtained and then according to the income. Sort scores, the higher the score, the lower the risk. Finally, based on the factors considered in this paper, the investment risks of countries along the belt and road are given.

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References

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Author information

Authors and Affiliations

  1. Army Engineering University of PLA, Nanjing, 211101, Jiangsu, China

    Huaren Zhou, Gang Wang, Jia Yao & Xiaoyang Li

Authors
  1. Huaren Zhou
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  2. Gang Wang
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  3. Jia Yao
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  4. Xiaoyang Li
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Corresponding author

Correspondence to Huaren Zhou .

Editor information

Editors and Affiliations

  1. Department of Applied Economics, Hunan International Economics University (International Trade Direction), Changsha, China

    Tao-Sheng Wang

  2. Department of Mechanical Engineering, University of Saskatchewan, Saskatoon, SK, Canada

    Andrew W. H. Ip

  3. Department of Business Systems and Analytics, La Salle University, Philadelphia, PA, USA

    Madjid Tavana

  4. Victoria Business School, Victoria University of Wellington, Wellington, New Zealand

    Vipul Jain

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Cite this paper

Zhou, H., Wang, G., Yao, J., Li, X. (2020). Investment Risk Assessment and Control Strategy About Countries Along the Belt and Road Based on the TOPSIS Methods. In: Wang, TS., Ip, A., Tavana, M., Jain, V. (eds) Recent Trends in Decision Science and Management. Advances in Intelligent Systems and Computing, vol 1142. Springer, Singapore. https://doi.org/10.1007/978-981-15-3588-8_10

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