Coupling Coordination between Leisure Agriculture and Tourism in Hebei Province
Leisure agriculture is an emerging industry with strong tourism.Exploring the coupling and coordination relationship between leisure agriculture and tourism is an important basis to promote their sustainable development.Based on this,this paper took Hebei province as an example to construct an evaluation index system of leisure agriculture and tourism,entropy weight method was used to determine the index weight,linear weighting method was used to measure the comprehensive development index of the two systems,and finally the coupled coordination degree model was used to estimate the coupled coordination degree of leisure agriculture and tourism in Hebei province from 2013 to 2022.The empirical results showed that the change trend of comprehensive development index of leisure agriculture and tourism in Hebei province is generally consistent,showing a trend of first rising and then falling,with an inverted V-shaped form;the index increased from 2013 to 2019,and gradually decreased after 2019 due to the impact of the epidemic;the coupling degree of the two systems is low and currently in the antagonistic stage,the development of the coupling coordination degree has gone through seven stages:moderate dissonance,mild dissonance,near dissonance,reluctant coordination,primary coordination,reluctant coordination,on the verge of dissonance.The later epidemic has a great impact on the development of the two systems.In terms of classification,leisure agriculture dominates,and the two systems support and promote each other significantly.Based on this,in order to promote the further healthy development of the coupling coordination relationship between leisure agriculture and tourism in Hebei province,we should establish the coupling coordination development management mechanism,strengthen the government support and improve the infrastructure.
leisure agriculturetourismcomprehensive development indexentropy weight methodcoupling coordination degree
万方数据
维普
