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

<p>With the in-depth implementation of the rural revitalization strategy, it is of great significance to study the supervision and governance mechanism of national audit in the implementation of the rural revitalization strategy. As the main components with smaller contribution rates will be discarded when evaluating and analyzing the influencing factors of rural revitalization, it may affect the analytical judgment of the actual problem. Therefore, based on stepwise regression, this paper adopts ridge regression to correct multicollinearity, with the help of the ridge trace diagram to judge the correlation between independent variables intuitively and quickly, and through the ridge calculation as much as possible to retain the independent variables that have a greater impact on rural revitalization. The principal component-ridge regression model is proposed because it takes into account the advantages and disadvantages of various regression methods. To solve the problem of unstable regression coefficients caused by multiple covariances, to analyze the important influencing factors of state auditing on rural revitalization according to the regression coefficients, and to establish the governance optimization path of state auditing to promote rural revitalization. According to the regression results, the government audit variable has a significance level of 1%. The comprehensive governance function of government audit has a regression coefficient of -0.038 that shows significant and negative results at a 1% confidence level. The performance scores of rural sustainability as well as financial dimensions are in the range of 0.8 to 1, which is a good level.</p>
</abstract>

With the in-depth implementation of the rural revitalization strategy, it is of great significance to study the supervision and governance mechanism of national audit in the implementation of the rural revitalization strategy. As the main components with smaller contribution rates will be discarded when evaluating and analyzing the influencing factors of rural revitalization, it may affect the analytical judgment of the actual problem. Therefore, based on stepwise regression, this paper adopts ridge regression to correct multicollinearity, with the help of the ridge trace diagram to judge the correlation between independent variables intuitively and quickly, and through the ridge calculation as much as possible to retain the independent variables that have a greater impact on rural revitalization. The principal component-ridge regression model is proposed because it takes into account the advantages and disadvantages of various regression methods. To solve the problem of unstable regression coefficients caused by multiple covariances, to analyze the important influencing factors of state auditing on rural revitalization according to the regression coefficients, and to establish the governance optimization path of state auditing to promote rural revitalization. According to the regression results, the government audit variable has a significance level of 1%. The comprehensive governance function of government audit has a regression coefficient of -0.038 that shows significant and negative results at a 1% confidence level. The performance scores of rural sustainability as well as financial dimensions are in the range of 0.8 to 1, which is a good level.

Multidimensional Attribution and Governance Optimization Path of State Audit to Promote Rural Revitalization in the Information Age

Jiangxi University of Finance and Economics

Zhanjiang University of Science and Technology

Applied Mathematics and Nonlinear Sciences

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

With the in-depth implementation of the rural revitalization strategy, it is of great significance to study the supervision and governance mechanism of...

Multidimensional Attribution and Governance Optimization Path of State Audit to Promote Rural Revitalization in the Information Age

Publié en ligne: 31 janv. 2024

Pages: -

Reçu: 26 déc. 2023

Accepté: 02 janv. 2024

DOI: https://doi.org/10.2478/amns-2024-0288

Mots clés
Multicollinearity, Stepwise regression, Ridge regression, Principal component-ridge regression, Rural revitalization

© 2024 Rong Huang et al., published by Sciendo

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

Multidimensional Attribution and Governance Optimization Path of State Audit to Promote Rural Revitalization in the Information Age

Publié en ligne: 31 janv. 2024

Pages: -

Reçu: 26 déc. 2023

Accepté: 02 janv. 2024

DOI: https://doi.org/10.2478/amns-2024-0288

Mots clésMulticollinearity, Stepwise regression, Ridge regression, Principal component-ridge regression, Rural revitalization

© 2024 Rong Huang et al., published by Sciendo

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

Mots clés
Multicollinearity, Stepwise regression, Ridge regression, Principal component-ridge regression, Rural revitalization