Abstract

To provide an accurate evaluation model or method for the specific output value and economic benefits of sports events, this paper attempts to establish a simple regional sports economic benefit data evaluation model to predict the best financing mode. We mainly use the methods of questionnaire survey, expert evaluation and SWOT to establish the quantitative model of regional sports economy in Yingxian County, and generate the corresponding level indicators. During such period, the industry proportion index is used to measure the level of sports industry agglomeration. Then, combined with the relevant data of a region from 2017 to 2020, this paper empirically analyzes the relationship between the development of sports industry and economic growth in the region, calculates the weight of each index and influencing factors by AHP method, and uses the index smoothing method to intelligently predict and evaluate the level of GDP. It is proved the conclusion can provide a certain policy reference for the decision-makers in the game of regional sports economy and the formulation of economic development strategy.

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