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Investment analysis of the private firm under different financial arrangements in infrastructure projects.

ABSTRACT: This study investigates the impact of various financial arrangements on the investment behavior of the private firm in PPP (Public-Private Partnership) projects. The results manifest that: first, the private firm will invest in the project earlier under long-term debt financing than under short-term debt financing or all equity financing; second, the investment boundary of the private sector decreasing with the probability of obtaining long-term debt financing under short-term debt financing, while increasing with the probability of obtaining long-term debt financing under long-term debt financing; third, the optimal debt level under short-term debt financing displays a U-shaped relationship with the refinancing risk probability; fourth, under short-term debt financing, the difference in the optimal capital structure between projects with different volatility of cash flow is larger when the refinancing risk probability is lower; and fifth, the private firm may exit the project earlier under short-term debt financing than under long-term debt financing. These results can help us to understand the investment behavior of the private firm under different financial arrangements.

SUBMITTER: Ding Q

PROVIDER: S-EPMC10871491 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature

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Investment analysis of the private firm under different financial arrangements in infrastructure projects.

Ding Qianxing Q Huang Shanshan S Fu Guohua G Wang Bing B

PloS one 20240216 2

This study investigates the impact of various financial arrangements on the investment behavior of the private firm in PPP (Public-Private Partnership) projects. The results manifest that: first, the private firm will invest in the project earlier under long-term debt financing than under short-term debt financing or all equity financing; second, the investment boundary of the private sector decreasing with the probability of obtaining long-term debt financing under short-term debt financing, wh ...[more]

PMID: 38363762

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Project description:To determine the influence of the weight of the economic effectiveness evaluation criteria of the major investments of listed enterprises, and provide new management ideas for the development of the follow-up enterprises, firstly, the financial benefit evaluation system of investment projects is analyzed and constructed, and the specific evaluation process is analyzed. Then, on this basis, the evaluation index is refined; the basic structure of BP neural network (BPNN) is introduced, and genetic algorithm is used to improve BP neural network. The cost-benefit analysis model is constructed based on the improved BPNN. The listed company A is taken as an example to analyze its development data in recent years, and then the data of 10 listed companies are taken as the research object. Matlab simulation software is used to train and verify the improved BPNN model, analyze and predict the weight value of the financial benefit index of the investment projects of these 10 companies, and then determine the index to improve the financial benefit of the investment projects. Under the analysis of the development data of listed company A in the past 10 years, it is found that the indicators of the listed company's profitability per share, debt risk operation ability, development, and growth ability in the past 10 years are in relatively stable state. The principal component analysis of its 20 secondary sub-indexes is conducted based on the four primary indicators: profitability, debt risk, operational capacity, and development and growth. A total of eight principal components including return on equity (ROE), return on assets (ROA), (total asset turnover) TATO, turnover of account receivable (AR), asset-liability ratio, interest protection multiple, income growth rate, and year-on-year rate of increase for complete assets are extracted. The average error between the final output value, the actual value, and the expected value is 0.0304 and 0.0169, respectively. The weight coefficient of the monetary benefits evaluation indicator of investment items is calculated, and the computed results show that year-on-year rate of increase for complete assets, TOTA, ROA, turnover of total capital, and ROE are important indexes in the financial benefit evaluation of investment projects. It indicates that to improve the financial benefit of investment projects of listed enterprises, it is necessary to enhance the year-over-year growth degree of total properties and ROA.

Dataset Information

Investment analysis of the private firm under different financial arrangements in infrastructure projects.

Publications

Investment analysis of the private firm under different financial arrangements in infrastructure projects.

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