Research on risk prediction and prevention and control measures of economic management of engineering construction based on econometric model

Author:

Yang Jingsi1,Li Zhenhai1,Yang Ge1

Affiliation:

1. 1 Economic and Technological Research Institute, State Grid Heilongjiang Electric Power Co., Ltd ., Harbin, Heilongjiang, 150010 , China .

Abstract

Abstract To provide construction units with comprehensive and accurate information to assist in decision-making, this paper utilizes econometric models to use the Internet for management monitoring and engineering construction schedule scheduling. The parametric linearity constraint test method is set up, production function examples are established for engineering tests, and statistics are approximated to obey degrees of freedom and cardinal distribution. To obtain the inverse of the estimated information matrix, the least squares method is employed to maximize the engineering construction expression. The engineering economic management error value is found to be the lowest value of 0.84, the maximum value of elasticity coefficient is 0.379, and the minimum value of covariance is 0.185. To fully improve the risk prediction capability of engineering construction, econometric modeling techniques must be integrated.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Reference22 articles.

1. Wang, L., & Abbas, S. (2022). Application of numerical deconstruction in enterprise economic management. Mathematical Problems in Engineering, 2022.

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3. Salah, S. A. (2020). Analyzing engineering-related delays using quality function deployment in construction projects. Civil Engineering Journal, 6(9), 1779-1797.

4. Choi, J. H., Lee, Y., & Kwak, Y. H. (2020). A socioeconomic ripple effect analysis of integrative national construction standards codification efforts: system dynamics approach. IEEE Transactions on Engineering Management, PP(99).

5. Petroutsatou, K., Ladopoulos, I., & Nalmpantis, D. (2021). Hierarchizing the criteria of construction equipment procurement decision using the ahp method. IEEE Transactions on Engineering Management, PP(99), 1-12.

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