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山东省农产品地理标志空间分布及影响因素分析
引用本文:王懋楠,王目文. 山东省农产品地理标志空间分布及影响因素分析[J]. 科技和产业, 2022, 22(9): 368-373
作者姓名:王懋楠  王目文
作者单位:山东农业大学 经济管理学院,山东 泰安 271000;山东农业大学 经济管理学院,山东 泰安 271000;山东女子学院 工商管理学院,济南 250300
摘    要:农产品地理标志是一种优质的区域品牌,是推动乡村振兴的重要手段。以农业农村部注册登记的农产品地理标志为基础数据,运用ArcGIS制图、泊松回归等方法,实证研究山东省农产品地理标志的空间分布及其影响因素。结果表明,山东省不同种类农产品地理标志空间分布上呈现出空间非均衡状态,不同地市之间差异较大,总体呈现出东多西少的分布格局。自然条件对于农产品地理标志的空间分布影响最大。山东省各地政府应该结合国家相应的政策法规,出台一些有针对性的规章制度来推动当地农产品地理标志产业的发展,因地制宜,逐步优化农产品地理标志的空间格局,要加强农产品地理标志的利用,发挥农产品地理标志的品牌效应,帮助农民增收增产,促进区域农业经济的发展。

关 键 词:农产品地理标志  空间分布  影响因素  泊松回归  山东省

Analysis on the Spatial Distribution and Influencing Factors of Geographical Indications of Agricultural Products in Shandong Province
Abstract:Geographical indication of agricultural products is a high-quality regional brand and an important means to promote rural revitalization. Taking the geographical indications of agricultural products registered by the Ministry of agriculture as the basic data, the spatial distribution and influencing factors of geographical indications of agricultural products in Shandong Province are empirically studied by using the methods of ArcGIS mapping and Poisson regression. The results show that the spatial distribution of geographical indications of different kinds of agricultural products in Shandong Province shows a spatial imbalance, and there are great differences between different cities, showing a distribution pattern of more in the East and less in the West. Natural conditions have the greatest impact on the spatial distribution of geographical indications of agricultural products. Local governments in Shandong Province should issue some targeted rules and regulations to promote the development of local agricultural geographical indication industry, adjust measures to local conditions, gradually optimize the spatial pattern of agricultural geographical indications, strengthen the utilization of agricultural geographical indications, give full play to the brand effect of agricultural geographical indications, help farmers increase income and output, and promote the development of regional agricultural economy.
Keywords:geographical indications of agricultural products   spatial distribution   influencing factors   Poisson regression   Shandong Province
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