PPP Financing Model in the Infrastructure Construction of the Park Integrating Artificial Intelligence Technology.
Comput Intell Neurosci
; 2022: 6154885, 2022.
Article
in En
| MEDLINE
| ID: mdl-35875778
ABSTRACT
The objective is to study the application of the Public-Private-Partnership (PPP) financing model in the infrastructure construction of the park. By analyzing the operation model of the PPP financing model, combined with the Artificial Intelligence (AI) technology, the theory mechanism that digital infrastructure construction and Internet use affect the quality of employment is proposed. Based on the selection theory of the PPP model for infrastructure construction projects in industrial parks, the application of the PPP financing model in infrastructure construction of industrial parks is discussed in specific cases. According to the actual situation of the case, the combination of the PPP financing model and government direct investment is proposed, and the predicted income results are given. The results manifest that the total score of the qualitative analysis of the value for money (VFM) of the project of the proposed financing model reaches 85.36 points, greater than 60 points. It indicates that the project has passed the qualitative analysis of VFM, and the profit of the project meets expectations. Among them, the after-tax (AT) internal rate of return of project investment reached 4.3%, and the financial internal rate of return of capital amount reached 4.23% AT, exceeding expectations. It illustrates that the designed PPP financing model meets the requirements. In the infrastructure construction of the park, the combination of digital technology and the PPP financing model can provide a more reasonable financing plan, which is feasible for the infrastructure construction of the park.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Artificial Intelligence
/
Public-Private Sector Partnerships
Type of study:
Health_economic_evaluation
/
Prognostic_studies
/
Qualitative_research
Language:
En
Journal:
Comput Intell Neurosci
Journal subject:
INFORMATICA MEDICA
/
NEUROLOGIA
Year:
2022
Document type:
Article
Affiliation country:
China