Outline

Ingegneria Sismica

Ingegneria Sismica

Management Optimization Path of Grassroots Public Service Collaboration Mechanisms in Digital Governance Scenarios

Author(s): Xueru Wang1, Zongjian Fan1
1College of Marxism, Xinjiang Normal University, Urumqi, Xinjiang, 830000, China
Wang, Xueru. and Fan, Zongjian. “Management Optimization Path of Grassroots Public Service Collaboration Mechanisms in Digital Governance Scenarios.” Ingegneria Sismica Volume 43 Issue 1: 1-13, doi:10.65102/is2026532.

Abstract

Grassroots governance is the cornerstone of China’s governance system, and the level and effectiveness of governance at the grassroots level are directly related to the development and stability of the whole national society. Based on the social survey data of grassroots public service coordination mechanism in 105 villages in Province A in 2024, the article selects the influencing factors of grassroots public service coordination and determines 14 independent variables based on one-way ANOVA and Lasso regression model, and analyzes the relevant influencing factors of the management optimization paths of the grassroots public service coordination mechanism by using multicategorical ordered logistic regression model. The results show that the clarity of the policy framework, the uniformity of regulations and standards, the orientation of assessment and incentives, the leadership and political determination, the appropriateness of the organizational structure, the adequacy of resource security, the degree of integration of platforms, the quality and security of data, the applicability of technology, the digital literacy of personnel, the awareness and ability of collaboration, the effectiveness of the training system, the degree of process optimization, and the accessibility and inclusiveness of services have a significant impact on the management optimization of grass-roots public service collaborative mechanisms. Optimization has a significant impact. It is recommended that the government improve the main governance capacity, promote the construction of a collaborative governance infrastructure platform, improve the relevant supporting mechanisms, and increase the publicity of the governance collaborative mechanism.

Keywords
multicategorical ordered logistic regression model; one-way ANOVA; Lasso regression model; grassroots public services; digital governance

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