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全国茶叶地理标志产品时空分布及其影响因素分析 被引量:3

Analysis on Temporal and Spatial Distribution and Influencing Factors of Tea Geographical Indication Products in China
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摘要 基于2001—2021年全国茶叶地理标志数据,运用ArcGIS软件核密度分析功能、SPSS软件皮尔森相关性分析,对茶叶地理标志时空分布特征及其影响因素进行研究分析。研究表明:(1)中国茶叶地理标志在我国国土空间上分布,并在我国东南沿海地区与长江流域各省形成了“倒7”型核密度高值区;(2)分时段空间分布上,增长热点区一直存在于东南沿海与长江流域各省份,不断扩大连片最终形成组团现象;(3)影响因素中自然因素是影响茶叶地理标志分布的重要原因,经济政策是影响茶叶地理标志集聚程度的重要原因。据此为成熟稳定地健康发展我国茶叶产业提出针对性对策建议。 Based on the national tea geographical indication data from 2001 to 2021,the temporal and spatial distribution characteristics and influencing factors of tea geographical indications were studied and analyzed by using the nuclear density analysis function of ArcGIS software and Pearson correlation analysis of SPSS software.The results show that:(1)the geographical indications of Chinese tea were distributed in clusters in China’s land space,and an"inverted 7"type high-value nuclear density area had been formed in the southeast coastal areas of China and the provinces of the Yangtze River Basin.(2)In terms of spatial distribution of time periods,growth hotspots had always existed in the southeast coast and provinces of the Yangtze River Basin,and the continuous expansion of contiguous areas eventually formed a group phenomenon.(3)Among the influencing factors,natural factors are the important factors affecting the distribution of geographical indications of tea;Economic policy was an important reason affecting the agglomeration degree of tea geographical indications.Finally,the paper put forward some suggestions and countermeasures for the mature,stable and healthy development of China’s tea industry.
作者 郜尧禹 刘海兰 王德辉 卢素雅 GAO Yaoyu;LIU Hailan;WANG Dehui;LU Suya(School of Geography and Environmental Engineering,Gannan Normal University,Ganzhou 341004,China;Ganzhou City Investment Holding Group Co.Ltd.,Ganzhou 341000,China)
出处 《中国茶叶》 2022年第5期38-44,共7页 China Tea
基金 江西省教育厅科技项目(GJJ151017) 赣南师范大学校级教改项目(150687)。
关键词 茶叶地理标志 核密度分析 相关性分析 空间分布 影响因素 geographical indications of tea nuclear density analysis correlation analysis spatial distribution influence factor
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