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The control mode study of PPP project financing management information system

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A Correction to this article was published on 20 February 2022

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Abstract

In recent years, public–private partnership (PPP) mode has been developed greatly in China's infrastructure and public services, which can effectively solve the financial difficulties of local governments. This article selects the residual value risk (RVR) as an important index in the risk control of PPP project and constructs and verifies the pre-optimization method of RVR. A method is presented to control and optimize RVR before the risk occurs. The vulnerability as the breakthrough point of RVR beforehand control through DRCM sensitivity analysis is carried out on the effect of the beforehand control of RVR; then, using the optimal control theory to design RVR beforehand control of optimization process, the correctness and validity of the method are verified by an example.

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References

  • Bodiako AV, Ponomareva SV, Rogulenko TM et al (2017) The goal setting of internal control in the system of project financing. Int J Econ Financ Issues 6(4):55–59

    Google Scholar 

  • Cheng Z, Wang H, Xiong W et al (2021) Public–private partnership as a driver of sustainable development: toward a conceptual framework of sustainability-oriented PPP. Environ Dev Sustain 23(5):1043–1063

    Article  Google Scholar 

  • Cui C, Liu Y, Hope A, Wang J (2018) Review of studies on the public–private partnerships (PPP) for infrastructure projects. Int J Project Manag 36(5):773–794

    Article  Google Scholar 

  • Geng J, Guo J, Meng X et al (2020) Speeding up PPP ambiguity resolution using triple -frequency GPS/BeiDou/Galileo/QZSS data. J Geod 94:6

    Article  Google Scholar 

  • Li X, Li X, Liu G et al (2019) Triple-frequency PPP ambiguity resolution with multi-constellation GNSS: BDS and Galileo. J Geod 93:1105–1122

    Article  Google Scholar 

  • Lu Y, Wang L (2016) Dynamic model design of stakeholders management in urban rail transit PPP projects. Urban Rapid Rail Transit 7(2):44–50

    Google Scholar 

  • Maier J, Rauter L, Rudin D, Marco Niello et al. (2021) α-PPP and its derivatives are selective partial releasers at the human norepinephrine transporter: a pharmacological characterization of interactions between pyrrolidinopropiophenones and high and low affinity monoamine transporters. Neuropharmacology, Vol. 190

  • Min-Rong L V, Accounting D O, University H W (2017) Urban rail transit project PPP financing model of risk management research. Spec Zone Econ 78(30):136–141

    Google Scholar 

  • Sastoque LM, Arboleda CA, Ponz JL (2016) A proposal for risk allocation in social infrastructure projects applying PPP in Colombia. Proc Eng 145(6):1354–1361

    Article  Google Scholar 

  • Srivastava V (2017) Project finance bank loans and PPP funding in India: a risk management perspective. J Bank Regul 18(1):14–27

    Article  Google Scholar 

  • Tang D, Liu F, Wang L et al (2015) Design of risk management and control system for PPP projects based on Temasek model. Constr Econ 23(16):70–75

    Google Scholar 

  • Tariq S, Zhang X (2020) Critical failure drivers in international water PPP projects. J Infrastruct Syst 26(4):1943–1955

    Article  Google Scholar 

  • Wei ZX (2016) Research on risk management of expressway project under PPP financing mode. Value Eng 52(12):957–963

    Google Scholar 

  • Xu X, Bureau TF (2016) Research on the financial investment audit risk management of PPP project. State Acad Forest Adm J 41(13):88–94

    Google Scholar 

  • Yuan J, Li X, Chen K, Skibniewski MJ (2018) Modelling residual value risk through ontology to address vulnerability of PPP project system. Adv Eng Inform 38(5):776–793

    Article  Google Scholar 

  • Zhang L, Sun X, Xue H (2019) Identifying critical risks in Sponge City PPP projects using DEMATEL method: a case study of China. J Clean Prod 226:949–958

    Article  Google Scholar 

  • Zhang B, Chen Y, Yuan Y (2019) PPP-RTK based on undifferenced and uncombined observations: theoretical and practical aspects. J Geod 93:1011–1024

    Article  Google Scholar 

  • Zhou TJ (2017) The PPP model under the reform of the current financial and tax system. Manag Tech Sme 92(53):1032–1038

    Google Scholar 

Download references

Acknowledgements

(1) The research was founded within the project No.19JZ043, entitled: “Strategies to promoting private operators’ efforts in PPP financing”, supported by Education Department of Shaanxi Provincial Government. (2) Youth Fund of Xi’an University of Architecture & Technology. NO.SK19005.

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Correspondence to Junli Cao.

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Communicated by Irfan Uddin.

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Cao, J., Li, L. The control mode study of PPP project financing management information system. Soft Comput 26, 7669–7675 (2022). https://doi.org/10.1007/s00500-021-06715-z

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