关键词: 水资源, 种植结构, 耦合协调度, 时空差异, 驱动因素

Abstract:

Sorting out the coupling relationship and driving factors between water resource and planting structure is great significance in Shanxi Province， which faces water shortage and monotonous food production structure. Based on the coupling mechanism of the two systems among 11 prefecture-level cities in Shanxi Province from 2007 to 2020， this research analyzes the spatial and temporal patterns of the coupling coordination of the two systems and its driving factors by utilizing the coupling coordination degree model and the geo-detector model. The results show that： （1） The overall development level of water resources and planting structure in Shanxi Province remains at a low level. The comprehensive development index of the composite system demonstrates a high level in the Jinzhong and southeastern regions of Shanxi， whereas it exhibits a low level in the northern and southern regions of the province. （2） The coupling coordination degree between the two systems in Shanxi Province tends to be favorable， albeit at a generally low level. Over the study period， it gradually evolves from imminent dissonance towards primary coordination. In terms of spatial distribution， the coupling coordination degree among the prefecture-level cities， from highest to lowest， is as follows： Yangquan City Taiyuan City Lvliang City Jincheng City Jinzhong City Xinzhou City Changzhi City Linfen City Shuozhou City Datong City Yuncheng City. （3） The coupling coordination degree of the two systems in Shanxi Province exhibits spatial agglomeration characteristics， albeit with a relatively weak agglomeration intensity. Over the study period， the agglomeration degree initially increases and subsequently decreases. Notably， regions with a high coupling coordination degree exert a comparatively weaker influence on neighboring cities. （4） The dominant factors affecting the coupling coordination degree of the two systems in Shanxi Province include the agricultural mechanization level， the proportion of water used in primary industries， the proportion of water allocated to ecological environments， the proportion of domestic water use， the proportion of groundwater supply， and the per capita water consumption. Furthermore， the interaction among these factors results in a synergistic effect that enhances the coupling coordination degree.

Key words: water resources, planting structure, coupling coordination degree, spatial and temporal differences, driving factors