中国茶叶生产格局变迁及其影响因素研究
Research on Changes and Influencing Factors of China's Tea Production Pattern
何丽波 1李馨雨 1李细归1
作者信息
- 1. 湖南农业大学 风景园林与艺术设计学院,长沙 410128
- 折叠
摘要
基于1985-2021 年中国茶叶生产面板数据,采用GIS空间分析、多尺度地理加权回归模型探究中国茶叶生产格局的时空演变特征及影响因素.结果表明:(1)1985-2021 年,中国茶叶生产规模不断扩大,生产重心持续"西移",空间集聚存在显著正向规模效应,江南、华南和西南茶区聚集特征以"高高"型和"低高"型聚集为主,江北茶区未出现集聚特征,空间极化现象突出.(2)不同时期影响中国茶叶生产格局变迁的主导因素存在显著差异.1995 年以有效灌溉面积和化肥投入量为主,2010 年降水量、日照时数、受灾面积的影响程度逐步凸显,2020 年后交通运输水平成为显著驱动因素,但是有效灌溉始终是影响茶叶生产格局变迁的主要驱动力.
Abstract
Based on panel data on Chinese tea production from 1985 to 2021,this study employs GIS spatial analysis and multi-scale geographically weighted regression(MGWR)models to explore the spatiotemporal evolu-tion characteristics and influencing factors of China's tea production patterns.The results show that:(1)From 1985 to 2021,China's tea production scale has continuously expanded,with the production center gradually shift-ing westward.There are significant positive scale effects in spatial agglomeration,with tea regions in Jiangnan,South China,and Southwest China mainly characterized by"high-high"and"low-high"agglomerations.In con-trast,the Jiangbei tea region shows no agglomeration characteristics,highlighting spatial polarization.(2)The dominant factors influencing the changes in China's tea production patterns vary significantly across different peri-ods.In 1995,effective irrigation area and fertilizer input were the main factors.By 2010,the impact of precipitati-on,sunlight hours,and affected disaster area gradually became prominent.After 2020,transportation level emerged as a significant driving factor,but effective irrigation has consistently remained the primary driver of chan-ges in tea production patterns.
关键词
茶叶/生产格局/影响因素/多尺度地理加权回归模型Key words
tea/production pattern/influencing factors/multiscale geographically weighted regression model引用本文复制引用
基金项目
国家重点研发计划(2019YFD1100400)
湖南省自然科学基金(2023JJ40329)
湖南省研究生科研创新项目(QL20230183)
出版年
2024
NETL
NSTL
万方数据