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农学学报 ›› 2025, Vol. 15 ›› Issue (8): 88-100.doi: 10.11923/j.issn.2095-4050.cjas2024-0113

• 三农问题研究 三农产业结构 • 上一篇    

中国茶叶增产格局与贡献因素分析

毛昭庆1(), 张晓娇1, 刘树芳2, 曾贞2, 伏成秀2()   

  1. 1 云南省农业科学院农业经济与信息研究所,昆明 650205
    2 云南省农业科学院农业环境资源研究所,昆明 650205
  • 收稿日期:2024-06-05 修回日期:2024-10-13 出版日期:2025-08-18 发布日期:2025-08-18
  • 通讯作者:
    伏成秀,男,1987年出生,江苏扬州人,硕士,助理研究员,主要从事农业农村生态经济研究。通信地址:650200 云南省昆明市盘龙区北京路2238号 云南省农业科学院农业环境资源研究所,Tel:0871-65892205,E-mail:
  • 作者简介:

    毛昭庆,女,1990年出生,湖北潜江人,硕士,助理研究员,主要从事农业产业经济研究。通信地址:650200 云南省昆明市盘龙区北京路2238号 云南省农业科学院农业经济与信息研究所,Tel:0871-65899802,E-mail:

  • 基金资助:
    云南省重大科技专项“云南高原特色有机农业产业技术体系研究与应用”(202202AE090029)

Analysis of Pattern and Contribution Factors of Increasing Tea Production in China

MAO Zhaoqing1(), ZHANG Xiaojiao1, LIU Shufang2, ZENG Zhen2, FU Chengxiu2()   

  1. 1 Institute of Agricultural Economics and Information, Yunnan Academy of Agricultural Sciences, Kunming 650205
    2 Agricultural Environment and Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming 650205
  • Received:2024-06-05 Revised:2024-10-13 Online:2025-08-18 Published:2025-08-18

摘要:

本研究旨在探讨中国茶叶产量增长的主要贡献因素及其空间格局特征。通过分析1991—2022年中国各省域的茶叶种植面积、产量和单产数据,运用对数平均迪氏分解法(LMDI)模型,从全国、区域和省域3个层面进行分析。结果表明,(1)从增长数量来看,1991—2022年中国茶叶生产规模不断扩大,茶园面积和茶叶产量均呈现出持续增长的发展态势,茶叶种植面积增长前3位的四川、云南、贵州共贡献了茶叶种植面积总增长量的47.73%,茶叶产量增长前4位的四川、湖北、福建、云南共贡献了茶叶产量总增长量的59.53%,西南茶区是中国茶叶增产的主导区域。(2)从增长幅度来看,低于全国平均增速的“滞后增产”层级和高于全国平均增速的“超速增产”层级的省份最多,均有6个省份,分别是浙江、安徽、重庆、湖南、江西、广东以及云南、湖北、贵州、陕西、河南、山东,西南茶区位于“快速增产”层级,江北茶区位于“超速增产”层级。(3)西南茶区的茶叶种植面积贡献最明显,华南茶区的茶叶单产贡献最显著,全国有16个省份的茶叶种植面积贡献较大,仅有3个省份的茶叶单产贡献较大,茶叶种植面积扩大对增产贡献极显著的省份有贵州、山东、甘肃、江苏和西藏,茶叶单产提升对增产贡献极显著的省份仅有海南。为提高全国茶叶生产能力和增长潜力,应加强茶叶生产基地建设,深化茶叶精深加工,提升茶叶品牌效益。

关键词: 中国茶叶, 西南茶区, 茶叶, 增产, 空间格局, 贡献因素, LMDI模型

Abstract:

In order to analyze the contribution factors and spatial pattern of tea production increase in China, based on the tea planting area, yield, and unit yield data of Chinese provinces from 1991 to 2022, the logarithmic mean divisia index (LMDI) model was used to analyze from national, regional, and provincial levels. The results showed that: (1) in terms of growth quantity, the scale of tea production in China continued to expand from 1991 to 2022, and both tea garden area and tea production showed a sustained growth trend. Sichuan, Yunnan, and Guizhou, the top three regions in terms of tea planting area growth, contributed 47.73% of the total growth of tea planting area. Sichuan, Hubei, Fujian, and Yunnan, the top four regions in terms of tea production growth, contributed 59.53% of the total growth of tea production. The southwest tea region was the leading area for increasing tea production in China. (2) In terms of growth rate, the provinces with lower than the national average growth rate are Zhejiang, Anhui, Chongqing, Hunan, Jiangxi, and Guangdong; and the provinces with above the national average growth rate are Yunnan, Hubei, Guizhou, Shaanxi, Henan, and Shandong. The southwest tea region is considered as the "rapid production increase" level, while the Jiangbei tea region is at the "speeding production increase" level. (3) The contribution of tea planting area in southwest tea area is the most obvious, and the contribution of tea yield per unit area in south China tea area is the most significant. There are 16 provinces in China that contribute more to tea planting area, and only 3 provinces contribute more to tea yield per unit area. The provinces that make a significant contribution to the increase of tea planting area include Guizhou, Shandong, Gansu, Jiangsu and Xizang. The province that makes a significant contribution to the increase of unit yield is only Hainan. In order to improve the national tea production capacity and growth potential, we should strengthen the construction of tea production base, deepen the deep processing of tea, and enhance the efficiency of tea brand.

Key words: China's tea, southwest tea region, tea, increase production, spatial pattern, contribution factors, LMDI model