陕西省农业生态经济系统综合评估及空间聚集特征分析

The analysis of comprehensive assessment of agricultural eco-economy system and its feature on gathering in Shaanxi Province

基于陕西省农业生态经济统计数据,构建农业生态经济综合评估指标体系,采用熵权法确定权重系数,对陕西省各县(区)进行农业生态经济系统综合评估,在此基础上基于地理事物空间分布的自相关理论,进一步探索其在空间分布上的聚集特征。研究结果表明,近十年全省变化波动较大。2007年陕西省农业生态经济水平的空间差异呈现出由以西安市为中心的关中地区向陕北、陕南递减的态势。各县(区)的农业生态经济系统及其子系统间的相互关系也具较大差异,关中地区各县(区)各系统间协调得最好,陕北地区最差。2007年陕西省各县(区)的农业生态经济水平主要趋向于低低集聚,而表现为高高集聚的县(区)主要集中于西安市各县(区)及其临近区域,陕北和陕南地区的空间集聚主要表现为低低集聚。另外,关中地区边缘个别市、县表现为非集聚现象,且分布于高高集聚地区的外缘,其非集聚地区地理分布较为集中。

Based on statistical data of agricultural eco-economy in Shaanxi Province,a comprehensive evaluation index system for agricultural eco-economy was built;Using entropy weight method to determine the weight coefficients,comprehensive assessment was made of agricultural eco-economy system in various counties（districts） of Shaanxi;Then based on self-related theories of spatial distribution of geographic things,their distribution in space and the aggregation characteristics were further explored.The results showed that the province＇s agricultural eco-economy has fluctuated greatly in the past ten years.There was a decreasing trend of spatial differences from Xi＇an,as the center of the Guanzhong region,to the northern and southern parts of Shaanxi in 2007.The relations between agricultural eco-economy system and its subsystems in every county（districts） have a larger difference.Coordination of the inter-systems in counties（districts） of Guanzhong area is the best while that in northern Shaanxi was the worst.Agricultural eco-economy level of counties（districts） in the province in 2007 mainly tended to low-low aggregation.During the this period of time,the agricultural eco-economy level in the counties（districts） in Xi＇an and its surrounding area showed high-high aggregation,while that in the northern and southern parts of Shaanxi turned out low-low aggregation.In addition,the agricultural eco-economy level in a few cities and counties at the edge of Guanzhong region showed non-aggregation,and these cities and counties were mainly located in concentration at the edge of high-high aggregation area.