基于农用地集约利用和市场可达性评价方法,计算了兴化市各乡镇农用地集约利用程度和农产品消费市场可达性并通过统计方法初步分析了两者的关系。结果表明:(1)农用地集约利用程度与农产品消费市场可达性具有明显的空间差异;(2)农用地集约利用程度与农产品消费市场可达性之间的秩相关系数为0.23,在α=0.05的置信水平上相关关系不显著,这说明县域尺度下农业用地集约利用与农产品消费市场可达性之间的空间模式已经突破了传统的"农产品消费市场可达性-农业生产方式-农用地集约利用程度"农业区位论模式。

On the basis of previous researches on agriculture land intensive use and the evaluation methods of market accessibility, this paper examines the agriculture land intensive use level and the agricultural products consumption market accessibility of Xinghua County as well as their relationship. The method of mathematical statistics is adopted in this research. This research is based on Land Use Planning of Xinghua County (2006-2020) and supported by National Natural Science Foundation (40801222, 40601098). The result shows that (1) there are obvious spatial differences of agriculture land intensive use levels and agriculture consumption market accessibility ranks among towns in Xinghua County. The comprehensive evaluation value of agriculture land intensive use level of different towns varies from-1 to 2.4. (2) the rank correlation coefficient of the agriculture land intensive use level and agriculture products consumption market accessibility is 0.23. Therefore, it is clear that the Thunen Agriculture Location Theory of spatial distribution that "agriculture products consumption market Accessibility-Agricultural production activities-agricultural land intensive use level" is not adapted to the situation of a county scale. However, we could not deny the profound influence of agriculture products consumption market accessibility on the agricultural production activities. In a modern market economy, the improvement of the market system relies on the regional transport network. Agricultural production activities and consumption of agricultural products have been far exceeded the traditional spatial pattern described by Thunen Agriculture Location Theory as a single city market center model. At larger spatial scales, agriculture products consumption market accessibility would still have far-reaching influence on agricultural production activities by the agriculture products shipment cost.