<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The improvement of China’s economic level makes the society’s requirements and standards for infrastructure constantly improve. In order to effectively promote the rapid development of the rural economy, it is necessary to strengthen the construction of rural infrastructure. This paper provides a comprehensive plan for rural infrastructure construction and analyzes its mechanism of action on rural economic development in depth. Taking rural economic growth as the explanatory variable and infrastructure construction as the explanatory variable, the multiple linear regression model is chosen to analyze the impact of rural infrastructure on rural economic growth. The unknown parameters are estimated by the least squares method. The model is tested and modified based on the diagnostic methods of covariance expansion factor and other covariates to obtain the final results. Through empirical analysis, rural economic growth = -15.1935 + 0.184*rural transportation + 0.0983*rural education + 2.4923*agricultural science and technology + 0.3652*agricultural water conservancy, and agricultural science and technology has the greatest impact on rural economic growth. The local area can improve rural infrastructure in three aspects: investment strength, investment focus, and investment and financing mechanisms.</p>
</abstract>

The improvement of China’s economic level makes the society’s requirements and standards for infrastructure constantly improve. In order to effectively promote the rapid development of the rural economy, it is necessary to strengthen the construction of rural infrastructure. This paper provides a comprehensive plan for rural infrastructure construction and analyzes its mechanism of action on rural economic development in depth. Taking rural economic growth as the explanatory variable and infrastructure construction as the explanatory variable, the multiple linear regression model is chosen to analyze the impact of rural infrastructure on rural economic growth. The unknown parameters are estimated by the least squares method. The model is tested and modified based on the diagnostic methods of covariance expansion factor and other covariates to obtain the final results. Through empirical analysis, rural economic growth = -15.1935 + 0.184*rural transportation + 0.0983*rural education + 2.4923*agricultural science and technology + 0.3652*agricultural water conservancy, and agricultural science and technology has the greatest impact on rural economic growth. The local area can improve rural infrastructure in three aspects: investment strength, investment focus, and investment and financing mechanisms.

Multiple regression analysis of the mechanism of the role of infrastructure development in rural economic growth

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The improvement of China’s economic level makes the society’s requirements and standards for infrastructure constantly improve. In order to effectively promote...

Multiple regression analysis of the mechanism of the role of infrastructure development in rural economic growth

Online veröffentlicht: 05. Aug. 2024

Seitenbereich: -

Eingereicht: 21. März 2024

Akzeptiert: 17. Juni 2024

DOI: https://doi.org/10.2478/amns-2024-2223

Schlüsselwörter
Multiple regression analysis, Least squares method, Multiple covariance test, Rural economy, Infrastructure development

© 2024 Mingda Zhu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Multiple regression analysis of the mechanism of the role of infrastructure development in rural economic growth

Online veröffentlicht: 05. Aug. 2024

Seitenbereich: -

Eingereicht: 21. März 2024

Akzeptiert: 17. Juni 2024

DOI: https://doi.org/10.2478/amns-2024-2223

SchlüsselwörterMultiple regression analysis, Least squares method, Multiple covariance test, Rural economy, Infrastructure development

© 2024 Mingda Zhu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Multiple regression analysis, Least squares method, Multiple covariance test, Rural economy, Infrastructure development