Performance Evaluation of Urban Water Environment Treatment PPP Projects Based on Cloud Model and OWA Operator
Author(s): |
Hongbo Jiao
Yongchao Cao Huimin Li |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 14 February 2023, n. 2, v. 13 |
Page(s): | 417 |
DOI: | 10.3390/buildings13020417 |
Abstract: |
The public-private partnership (PPP) model has become one of the marketization models for water environment treatment projects. Evaluating the performance of these projects is vital for their long-term success. Performance evaluations can inform the government when allocating expenditures for the operation and maintenance of services and can guide the private sector’s operation and maintenance management of projects. By attending to the specific characteristics of urban water environment treatment PPP projects (UWETP-PPP), this study developed a performance evaluation system and corresponding performance evaluation model comprised of eight first_level indicators and fifty second-level indicators. This model was used to evaluate a water environment treatment and ecological restoration project located in Xuchang, China. The results generated by the performance evaluation model indicated that this project was satisfactory and used the PPP model with a very high level of success, which accurately reflected real-world assessments of the project and verified the effectiveness of the model. This research provides guidance for the government in designing a performance evaluation mechanism that implements the specific characteristics of PPP projects. It also provides practical value for the operation management and performance improvement of PPP projects in China. |
Copyright: | © 2023 by the authors; licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
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data sheet - Reference-ID
10712550 - Published on:
21/03/2023 - Last updated on:
10/05/2023