Satisfaction analysis of the implementation of public management policies in towns and cities using parametric modeling

Abstract

In this paper, firstly, based on the parametric model, we extracted the factors affecting the satisfaction of the implementation of public policies in towns and cities, and factor analyzed the variables, and established the correlation structure between the variable factors through the logistic distribution function. Then PLS is used to measure the indicator weights, and the parameters are stabilized and predicted to be estimated through iteration. Finally, the satisfaction parameter indicators are repositioned to establish a satisfaction assessment system for public management policy implementation. The results show that the satisfaction assessment system contains a variety of assessment indicators, and the measurement reliability coefficients are all above 0.75. The satisfaction assessment system constructed in this paper can guide the public to set up rational and practical expectations.