摘要
【目的】产业融合不仅能够提升茶产业的整体竞争力,还能够促进当地经济的多元化发展,是提升农业新质生产力和振兴乡村的重要途径。探究中国四大茶区三产融合的时空分异特征及影响因素对促进茶产业升级、推动产区经济发展具有重要意义。【方法】基于“三产融合发展”政策背景,以2012—2021年中国四大茶区44个茶叶主产地(干毛茶年均产量1万t以上的地级行政单元,后文简称产地)为研究对象,从主体、技术、产品、业务、市场等5个维度,应用熵值法测算三产融合水平,采用核密度估计、收敛性分析、多尺度地理加权回归、钻石模型等空间分析方法,探讨其三产融合的时空分异格局,并定量识别相关影响因素的空间异质性。【结果】①2012—2021年,四大茶区三产融合水平总体得到提高,呈现波动增长态势;②茶区三产融合存在典型的空间集聚与显著正向的收敛特征,高融合产地有所增加,不同产地间的融合差距在缩小;③茶区三产融合影响因素表现出明显的空间异质性,华南茶区、西南茶区主要受外商投资、土地资源和教育支出影响;江北、江南茶区受土地资源影响最大。【结论】须结合各茶区的自身资源禀赋和经济发展特点,从提升土地利用效率、改善投资环境、加强教育投入等方面因地制宜制定三产融合优化策略,以增强产业间协同发展的联动效应和跨区域联盟合作,促进区域经济可持续发展。
[Objective]Industrial integration not only enhances the overall competitiveness of the tea industry but also promotes diversified local economic development,serving as an important means to improve the new quality productive forces of agriculture and revitalize rural areas.Exploring the spatiotemporal evolution patterns and influencing factors of the integration of primary,secondary,and tertiary industries in China’s four major tea-producing regions is of significant importance for promoting the upgrading of the tea industry and driving economic growth in these regions.[Methods]Based on the policy background of primary,secondary,and tertiary industries integration,this study focused on 44 major tea-producing areas of China’s four tea-producing regions.The entropy method was employed to measure the level of industrial integration in these areas across five dimensions:actors,technology,products,business,and markets.Using spatial analysis techniques such as kernel density estimation,convergence analysis,the diamond model,and Multi-scale Geographically Weighted Regression,the study explored the spatiotemporal change patterns of industrial integration and the spatial heterogeneity of influencing factors.[Results](1)From 2012 to 2021,the level of industrial integration in four major tea regions consistently improved,showing a fluctuated development trend;(2)A typical pattern of spatial agglomeration and convergence was observed in these regions,with the overall level of integration increasing,the number of highly integrated areas growing,and the gap between different regions narrowing;(3)The influencing factors of industrial integration exhibited significant spatial heterogeneity:the Southern and Southwest regions are predominantly shaped by foreign investment,land resources,and educational spending;the South and North of Yangtze River regions are predominantly influenced by land resources.[Conclusion]Tailored strategies for integrating primary,secondary,and tertiary industries should align with the unique resources and economic characteristics of each teaproducing region.Emphasis should be placed on improving land use efficiency,investment environments,and education,to enhance inter-industry synergy and cross-regional collaboration,promoting sustainable economic growth.
作者
郑菲菲
詹慧龙
雷国铨
陈梅英
ZHENG Feifei;ZHAN Huilong;LEI Guoquan;CHEN Meiying(Institute of Agricultural Economics and Development,Chinese Academy of Agricultural Sciences,Beijing 100081,China;Center for Rural Social Development,Ministry of Agriculture and Rural Affairs,Beijing 100122,China;College of Landscape Architecture and Art,Fujian Agriculture and Forestry University,Fuzhou 350002,China;College of Economics and Management,Fujian Agriculture and Forestry University,Fuzhou 350002,China)
出处
《资源科学》
CSSCI
CSCD
北大核心
2024年第12期2532-2545,共14页
Resources Science
基金
国家社会科学基金项目(20BJY128)。
关键词
三产融合
时空分异
影响因素
多尺度地理加权回归
四大茶区
中国
primary,secondary,and tertiary industries integration
spatiotemporal differentiation
influencing factors
Multi-scale Geographically Weighted Regression(MGWR)
four major teaproducing regions
China
作者简介
郑菲菲,女,福建泉州人,博士研究生,研究方向为农业经济管理。E-mail:fafufay@163.com;通讯作者:雷国铨,男,福建莆田人,教授,研究方向为茶产业资源开发与利用。E-mail:lgq707816@163.com。
