Structural risk of diversified project financing of city investment company in China based on the best worst method

Yuning Wang, Xiaohua Jin

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: City investment companies (CICs) in China, set up and funded by the government, are playing an important role in the construction of urban infrastructure in China. The purpose of this paper is to analyze the structural risk of diversified project financing of CICs and explore its key influencing factors. Design/methodology/approach: The best worst method (BWM) is used in this study to empirically analyze and quantitatively study the optimization of the structural risk of diversified financing of CICs. Findings: In this study, the structural risk of diversified financing of CICs has been clearly defined, and its key evaluation indexes, including the structure of projects, the structure of financing, asset-liability ratio, earnings before interest and tax margin, the rate of return on capital and the ratio of long-term debt and short-term debt, have been determined. What is more, a comprehensive evaluation system of the structural risk of diversified financing has been established. Originality/value: This study has established a comprehensive evaluation system of the structural risk of diversified financing. Based on the validated systematic evaluation, comparison and ranking of the structural risk of diversified financing of CICs by using the BWM, the ranking results can help investors to select the CICs with small structural risk of diversified financing to invest.
Original languageEnglish
Pages (from-to)196-215
Number of pages20
JournalEngineering, Construction and Architectural Management
Volume28
Issue number1
DOIs
Publication statusPublished - 2021

Keywords

  • China
  • artificial intelligence
  • decision support systems
  • finance
  • project management
  • risk management

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