当代财经 ›› 2018, Vol. 0 ›› Issue (08): 95-.

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省域PPP项目的风险影响因素及其风险测度研究

肖建华   

  1. (江西财经大学 财税与公共管理学院,江西 南昌 330013)
  • 收稿日期:2018-01-08 发布日期:2021-01-21
  • 作者简介:肖建华,江西财经大学教授,博士生导师,博士,主要从事财税理论与政策研究,联系方式showjianhua@126.com。

A Study of the Factors Influencing Provincial PPP Projects and Risk Measurement

XIAO Jian-hua   

  1. (Jiangxi University of Finance and Economics, Nanchang 330013, China)
  • Received:2018-01-08 Published:2021-01-21

摘要: PPP模式对于推动我国经济发展与改善民生发挥了较好的作用,但是在发展过程中,PPP项目面临较大的风险,尤其是各省份在推进PPP项目进程中“心态不一”,其风险程度也存在差异。通过构建PPP项目风险指标体系,运用层次分析法研究了省域PPP项目的风险影响因素,结果表明经济运行环境是导致PPP项目风险的重要原因,其权重达到了52.78%。在确定指标权重的基础上,运用功效系数法对指标打分,并采用线性综合评价模型,计算全国各省份的风险评价综合值。实证结果表明,北京、上海、广东地区的PPP项目风险程度较低,贵州、云南等6个省份的风险程度较高。要防范PPP项目风险,未来应从防范技术风险、预防与惩治腐败、完善PPP法律法规、合理划分市场收益等方面改进。

关键词: PPP项目,层次分析法,项目风险测度,功效系数法

Abstract: PPP Model can play a better role in promoting China’s economic development and improving people’s livelihood. However, during the development process, PPP projects are faced with greater risks. Especially each province has its own concerns during the process of promoting PPP projects, and each has different risks. By constructing a PPP project risk index system, this paper studies the risk factors influencing provincial PPP projects with the method of analytic hierarchy process. The results show that the economic operating environment is an important cause of the risks for PPP projects; its weight is up to 52.78%. On the basis of determining the weight of the index, the efficiency coefficient method is used to grade the index, and the linear comprehensive evaluation model is used to calculate the risk assessment comprehensive value of all the provinces in China. The empirical results show that the risk level of PPP projects in Beijing, Shanghai and Guangdong is relatively lower, but it is relatively higher in other 6 provinces such as Guizhou and Yunnan. Therefore, in order to guard against the PPP project risks, some improvements should be made in the future, such as preventing technical risks, preventing and punishing corruption, improving the laws and regulations on PPP projects, rationalizing market profits, etc..

Key words: PPP projects; analytic hierarchy process; project risk measurement; efficiency coefficient method