Research on the Economic Effect Model of Automobile Exhibition Based on Analytic Hierarchy Process

Abstract

With the continuous advancement of global economic integration, automobile exhibitions play an increasingly important role in promoting the integration of the automobile industry and regional economic growth due to their strong industrial driving effect. However, in the actual operation process, how to accurately quantify the specific impact of exhibition activities on local economy has become an urgent problem to be solved. Analytic Hierarchy Process (AHP) is a multi criteria decision-making method that combines qualitative and quantitative analysis. It can help decision-makers effectively handle multiple interrelated factors in complex decision-making environments. This article constructs a model framework for evaluating the economic effects of automobile exhibitions based on the Analytic Hierarchy Process, aiming to objectively and comprehensively reflect the economic benefits brought by exhibition activities. By applying the model to relevant data in Beijing from 2013 to 2022, the research results show that the model can not only accurately quantify the specific contribution of automobile exhibitions to the economy of Beijing, but also has more accurate and explanatory power compared to traditional evaluation methods. It can not only help government departments formulate exhibition related policies more scientifically, but also provide more targeted development strategy guidance for enterprises.