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 language | English |
|---|---|
| Pages (from-to) | 196-215 |
| Number of pages | 20 |
| Journal | Engineering, Construction and Architectural Management |
| Volume | 28 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 3 Feb 2021 |
Bibliographical note
Publisher Copyright:© 2019, Emerald Publishing Limited.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
Keywords
- China
- artificial intelligence
- decision support systems
- finance
- project management
- risk management
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