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POLITICAL RISK ASSESSMENT MODEL BASED ON THE IMPROVED CATASTROPHE PROGRESSION METHOD

Junna Meng*, Shangbing Jiao, Bin Xue*, Cong Wang*

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Political risk has a strong influence on the investment in infrastructure projects of Chinese enterprises in the countries along "The Belt and Road". It is necessary to make assessment and judgment on the political risk in the early stage of investment. This paper establishes an indicator system of political risk by referencing literature and the reports of consulting companies. Then the author applies the catastrophe progression method to quantitatively evaluate the political risk and optimizes the method by using the intuitionistic fuzzy set with IFWA operator and a new score function while ranking indicators according to importance. On the basis of the study above, more objective and effective political risk evaluation model is established. Finally, the author applies this model to Singapore and Malaysia and verified its effectiveness through calculating and comparing the results. This study contributes to proving reference for the investment decisions of Chinese enterprises.
Original languageEnglish
Title of host publicationProceedings of the American Society for Engineering Management 2019 International Annual Conference
PublisherAmerican Society for Engineering Management
ISBN (Print)9780997519563
Publication statusPublished - Oct 2019
Event2019 ASTM International Annual Conference : A Systems Approach to Engineering Management Solutions - Philadelphia, United States
Duration: 23 Oct 201926 Oct 2019

Publication series

NameInternational Annual Conference Proceedings of the American Society for Engineering Management and 40th Meeting Celebration: A Systems Approach to Engineering Management Solutions, ASEM

Conference

Conference2019 ASTM International Annual Conference
PlaceUnited States
CityPhiladelphia
Period23/10/1926/10/19

Bibliographical note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Research Keywords

  • Catastrophe progression method
  • Infrastructure projects
  • Intuitionistic fuzzy sets
  • Political risk

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