Abstract
The traditional tourism-driven real estate economic growth quality evaluation model has the problem of low fitting degree and dynamic degree. In order to solve this problem, a tourism-driven real estate economic growth quality evaluation method based on an analytic hierarchy process (AHP) is proposed. In order to reduce the solution scale of tourism-driven real estate economic growth quality evaluation, the analytic hierarchy process is used to calculate the possibility index, severity index, and economic growth quality index of tourism-driven real estate economic growth and screen and rank the economic growth quality. The discrete zoning model is used to determine the economic growth level of tourism-driven real estate. Using the Mahalanobis distance of multiattribute vector of economic growth quality evaluation index, the distance from the risk element to positive ideal solution and negative ideal solution is defined. By calculating the closeness of data economic growth quality element, this paper constructs a tourism-driven real estate economic growth quality evaluation model. The experimental results show that the model has high dynamics and reliability and greatly improves the joint evaluation effect of tourism-driven real estate economic growth quality.
Highlights
Due to the great differences in resource endowment, traffic location, realistic foundation, human capital, and openness of the real estate industry, there must be imbalance in promoting economic growth [1], in order to reflect the economic growth level of different types of real estate industries, reveal the characteristics and influencing factors of real estate economic growth differences, so as to provide basis for formulating macrocontrol policies and guiding regional coordinated development, and carry out statistical evaluation of economic growth quality [2, 3].Reference [4] examines the convergence of military expenditure and economic growth in 35 African countries between 1990 and 2015
Based on the statistical evaluation index system of tourismdriven real estate economic growth constructed above, a tourism-driven real estate economic growth quality evaluation model is constructed based on the analytic hierarchy process (AHP) method
The results show that the tourism-driven real estate economic growth quality evaluation index of this method has the best classification and recognition ability
Summary
Due to the great differences in resource endowment, traffic location, realistic foundation, human capital, and openness of the real estate industry, there must be imbalance in promoting economic growth [1], in order to reflect the economic growth level of different types of real estate industries, reveal the characteristics and influencing factors of real estate economic growth differences, so as to provide basis for formulating macrocontrol policies and guiding regional coordinated development, and carry out statistical evaluation of economic growth quality [2, 3].Reference [4] examines the convergence of military expenditure and economic growth in 35 African countries between 1990 and 2015. The empirical results further show that regional economic communities (RECs) have formed different convergence and divergence clubs, showing considerable heterogeneity in basic defense and growth models. This method does not deeply analyze the factors affecting economic growth, resulting in limitations in the evaluation results. The agent acts as a prisoner’s dilemma, making money or losing money according to different payment matrices, cooperation probability, and interaction frequency and simulating different economic exchange conditions. This method provides a reference for economic evaluation in different regions.
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