Practical Application of Intelligent Technology in Grassroots Public Governance and Its Enhancement of Governance Effectiveness

Abstract

Abstract The application and development of intelligent technology in the field of public management has accelerated the governance mode change and process evolution. As a new mode and direction of governance system and technological innovation in the new era, holistic smart governance has a high theoretical coupling with grassroots public governance. Based on the transformation path of grassroots public governance, the study designs a holistic smart governance model for the application of intelligent technology in grassroots public governance and then measures the effectiveness of grassroots public holistic smart governance using the static DEA model and the dynamic Malmquist index model. Subsequently, data from 16 regions in Province M are taken as examples for empirical analysis, and the augmented regression number model is utilized to explore the relative strengths of the influencing factors and the ways of influencing them. The results show that M4, M7, M9, M12, M13 and M15, six regions realize DEA effective, but the average value of the annual technology change index is greater than 1 only in M7, M12 and M15, some regions have poor technological innovation capacity, production technology is difficult to innovate, and the innovation capacity and grassroots public governance are not coordinated with the input governance. M = 3055 under the augmented regression tree in the ratio of housing expenditure to per capita disposable income has the greatest impact on grassroots public governance in society (27.54%), which needs to be focused on. The study concludes that governance effectiveness can be realized in five areas: governance philosophy, governance objectives, governance approach, governance structure, and governance path.