Path analysis of influencing government's excessive behavior in PPP project: Based on field dynamic theory

Jiaqi Liu, Jicai Liu, Zehui Bu, Yining Zhou and Peifen He

Transportation Research Part A: Policy and Practice, 2022, vol. 166, issue C, 522-540

Abstract: The excessive behavior of the government is a common phenomenon in the practice of PPP projects such as transportation, municipal engineering and environmental governance. Analyzing the excessive behaviors of the government in PPP projects is very important to improve project performance and success. Based on the field dynamic theory, the demand of government and the external environment participating in PPP are the important reasons for excessive behavior. Through literature analysis, 14 government demands and 10 environmental factors that influence the government's excessive behavior are identified, and a hypothesis model of the influencing path of government's excessive behavior is constructed. 166 valid data are collected through a questionnaire survey. Carrying out factor analysis, hypothesis, and path test, the main findings are as follows: Government’s demands are divided into the demand of satisfying public activities, self-interest, responsibility, and relieving financial pressure; External environmental factors are divided into social conditions, department mechanism, and project information; The demand for responsibility plays a restraining role, while the other types of demand are opposite, and these demands play an intermediary role in the impact path of external environment on excessive behavior; Among the environmental factors, only the lack of project information has a direct influence on the government excessive behavior; In the feasibility subsidy project, the risk of excessive behavior is high, especially for transportation projects with certain toll nature. The study provides suggestions for reducing the risk of government behavior in PPP projects.

Keywords: PPP project, government's excessive behavior; Demand; External environmental factors; Path analysis (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1016/j.tra.2022.11.011

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