Application and Research of Analytic Hierarchy Process in Green GDP Development Planning of Smart City

Abstract

In order to improve the statistical analysis ability of green gross domestic product (GDP) development in cities, a green GDP development planning and prediction model based on an analytic hierarchy process (AHP) is proposed. Statistical variables are variables such as echo sounding, profitability, green economic development level, and residual capital of urban green GDP development. According to the variables, we used the AHP to calculate the resource and environment cost accounting, constructed the constraint parameter model of the urban green GDP development, and used the descriptive statistical analysis method to perform statistical analysis of the urban green GDP development plan and perform a paired sample test on the sample. The independent sample test uses logistic regression analysis to predict the urban green GDP development plan and a management strategy adjustment method to predict the urban green GDP development. The evaluation plan and AHP are used to quantify the green GDP development plan of the city.