Coupling relationship between agricultural economy and ecological environment in Shaanxi Province from the perspective of rural revitalization
Purposes—To study the coupling relationship between agricultural economic system and rural ecological environment system in Shaanxi Province for the relationship is of great significance for achieving high-quality development in the Yellow River Basin.Methods—Relevant data indicators of the agricultural economic system and rural ecological environment system in Shaanxi Province from 2012 to 2021 were collected and organized,the entropy method was used to construct an evaluation in-dex system,and the comprehensive development index was calculated.Finally,the coupling coordina-tion model and gray prediction model were used to evaluate and predict the coupling relationship be-tween agricultural economic system and rural ecological environment system in Shaanxi Province.Re-sults—During the period from 2012 to 2021,the comprehensive level index of agricultural economic system in Shaanxi Province shows an M-shaped growth trend,with a change range of 0.294~0.710,among which,the change of farmers'living standard index is relatively small,with a change range of 0.074~0.164,and the change of agricultural development situation index is large,with a change range of 0.140~0.381;the comprehensive index of rural ecological environment system is fluctuating and increasing,with a range of 0.215~0.639,and the indices of human-driven subsystem and natural condition subsystem are relatively stable;the coupling and coordination degree of agro-economic sys-tem and rural ecological and environmental system is in a coordinated development stage,with a range of 0.501~0.804.Conclusions—During the period from 2012 to 2021,the indicators of agricultural economic system and rural ecological environment system in Shaanxi Province show an upward trend,and the coupling and coordination degree of the two systems continue to improve,and they will be in a good coordinated development type in the future.
agricultural economyrural ecological environmentcoupling coordinationgray pre-diction model