PPP Financing Model in the Infrastructure Construction of the Park Integrating Artificial Intelligence Technology

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.

Government Artificial Intelligence Readiness and Brain Drain: Influencing Factors and Spatial Effects in the European Union Member States

“…Regarding the control variables of the models, the contribution of GOVERNMENT EX-PENDITURE in strengthening the capacity of governments to implement artificial intelligence is confirmed and demonstrates a positive relationship with dependent variable: the higher the volume of government spending, the higher the government's readiness in artificial intelligence. The results confirm the general assumptions from previous literature (Wang & Cui, 2022;Bredt, 2019;Duan et al, 2019;Bose et al, 2007) and the resorts of such an interdependence are related to the innovative and relatively expensive technical character of the state's investments in the artificial intelligence infrastructure and software for the public services. Also, the personnel needed to develop and manage informatic applications and infrastructure based on artificial intelligence leads to significant government spending.…”

“…AI's application in government spans various domains: in Public Services, it could automate tasks like application processing and inquiry handling; in Policy and Decision-making, it could analyze extensive datasets for policy shaping; in Law Enforcement and Public Safety, technologies like facial recognition and predictive analytics could augment safety efforts; in Infrastructure and Resource Management, AI could assist in resource management and infrastructure planning (Wang & Cui, 2022); and in Healthcare, AI could improve public health outcomes by analyzing medical data for disease detection and treatment optimization (Gomes de Sousa et al, 2019).…”

“…Another important aspect of government spending is investment in the infrastructure needed to support AI implementation (Wang & Cui, 2022). This may include the development of high-speed communication networks, data centers and other technological resources that enable the efficient use of AI in public services and decision-making processes.…”

Integrated models of the combination of EU grant funding and private funding in the energy sector of Ukraine based on Public-Private Partnership

“…The EU's approach to PPPs is based on the European Commission's PPP guidelines, which emphasize the need for transparency and competition in the procurement process. Practical studies of PPPs in the energy sector in other countries provide insight into best practices (Vagliasindi 2012b;Vagliasindi 2012c;Vagliasindi 2013;Wang and Cui 2022), which can be applied in Ukraine. For example, the literature states (FC-World Bank 2014) that a successful PPP requires clear project goals, clearly defined risk allocation, and a solid financial structure.…”

Construction mode optimal selection method for intelligent sensing system in zero‐carbon parks

“…Liu [9] discussed the characteristics of the commonly used project management model and the new innovative model. Wang and Cui [10] explored the application of public-private-partnership (PPP) business model in the infrastructure construction of industrial parks, and Liu [11] found that the introduction of build-operate-transfer (BOT) mode is important for environmental protection and pollution control in industrial parks. In recent years, some scholars began to try to explore the construction mode of data platform.…”