Research on the spatial evolution of coffee industry in Yunnan Province based on the value chain

doi:10.3969/j.issn.1004-9479.2025.05.20230733

Abstract

Abstract:

From the perspective of value chain, this paper applied the ArcGIS spatial analysis method to analyze the spatial layout evolution of the coffee industry in Yunnan Province, and used the Geographic Detector to explore the related influencing factors. The results showed that: ① From 2000 to 2020, the coffee enterprises in Yunnan province were generally distributed in a clustered state in space, and the degree of agglomeration increased continuously; ② The coffee enterprises in different links of the value chain of the coffee industry in Yunnan province formed obvious location preferences in different regions, and there were close connections among the links; ③ Various factors such as resource endowment factors, socio-economic factors, industrial agglomeration factors, and technological progress factors comprehensively affected the spatial layout of the value chain as a whole.

Key words: value chain, the coffee industry, spatial evolution, impact factors, Yunnan Province

摘要：

基于价值链视角，采用ArcGIS空间分析方法分析云南省咖啡产业的空间布局和演变特征，并利用地理探测器探究其相关影响因素。结果表明：①2000—2020年间，云南省咖啡企业在空间上总体呈聚集状态分布，且聚集程度不断提高；②云南省咖啡产业价值链中不同环节的企业在不同地区形成了明显的区位偏好，且各环节之间存在紧密联系；③资源禀赋、社会经济、产业集聚效应、技术进步等因素综合影响了咖啡产业价值链整体的空间布局形态。

关键词: 价值链, 咖啡产业, 空间演化, 影响因素, 云南省

Dan YANG, Yilun XU. Research on the spatial evolution of coffee industry in Yunnan Province based on the value chain[J]. World Regional Studies, 2025, 34(5): 124-136.

杨丹, 徐逸伦. 基于价值链的云南省咖啡产业空间发展演化研究[J]. 世界地理研究, 2025, 34(5): 124-136.

Figures/Tables 9

Fig.1 Link division of coffee industry value chain

Fig.2 Development trend of coffee industry in Yunnan Province，2000-2020

Tab.1 The nearest neighbor point index and geographic concentration index of coffee enterprises in Yunnan Province by period

指数	2000年	2005年	2010年	2015年	2020年
最邻近点指数 $R$	0.39	0.37	0.40	0.23	0.19
地理集中指数 $G$	46.14	46.61	50.01	52.52	51.94

Tab.1 The nearest neighbor point index and geographic concentration index of coffee enterprises in Yunnan Province by period

指数	2000年	2005年	2010年	2015年	2020年
最邻近点指数 $R$	0.39	0.37	0.40	0.23	0.19
地理集中指数 $G$	46.14	46.61	50.01	52.52	51.94

Fig.3 Distribution map of nuclear density of enterprises in upstream planting links

Fig.4 Distribution map of nuclear density of enterprises of middle reaches of processing links

Fig.5 Distribution map of nuclear density of downstream enterprises

Tab.2 Influencing factors of the spatial evolution of coffee enterprises in Yunnan Province

影响因素	指标	单位	获取或计算方法	指标意义
资源禀赋	咖啡种植面积	万亩	统计年鉴、云南省咖啡产业报告	地区咖啡种植生产能力
社会经济	地区经济发展水平	亿元	统计年鉴	地区的经济水平
	城镇化水平	%	统计年鉴	地区的城镇发展水平
	旅游接待人数	万人	统计年鉴	地区的消费市场潜力
	路网密度	km/km²	公路里程÷辖区面积	地区的交通运输水平
产业集聚效应	其他环节企业数量	个	实际企业数量	价值链各环节的联系度
技术进步	已申请专利数量	个	国家知识产权局服务平台专利检索及分析系统	地区相关技术创新水平

Tab.3 Detection results(q) of influencing factors of spatial differentiation of enterprises of upstream planting links, middle reaches of processing links and downstream enterprises

自变量		咖啡种植面积	地区经济发展水平	城镇化水平	旅游接待人数	路网密度	上游种植企业数量	中游加工其余数量	下游分销企业数量	已申请专利数量
2000年	上游	1.000^***	0.238	0.055	0.238	0.19	—	1.000^***	0.259	0.393
	中游	0.886^***	0.24	0.101	0.24	0.163	0.886^***	—	0.294	0.424
	下游	0.261	0.666	0.37	0.66	0.336	0.147	0.833^**	—	0.606
2005年	上游	0.994^***	0.232	0.179	0.164	0.232	—	0.994^***	0.168	0.236
	中游	0.858^**	0.331	0.181	0.272	0.171	0.847^***	—	0.243	0.32
	下游	0.033	0.919^***	0.43	0.911^***	0.189	0.001	0.923^***	—	0.942^***
2010年	上游	1.000^***	0.157	0.088	0.268	0.448	—	0.999^***	0.183	0.115
	中游	0.905^***	0.236	0.113	0.321	0.41	0.908^***	—	0.195	0.152
	下游	0.046	0.944^***	0.417	0.953^***	0.461	0.046	0.930^***	—	0.934^***
2015年	上游	0.999^***	0.347	0.175	0.172	0.437	—	0.993^***	0.054	0.504
	中游	0.958^***	0.372	0.154	0.182	0.428	0.958^***	—	0.07	0.562
	下游	0.062	0.917^***	0.905^**	0.938^***	0.48	0.087	0.872^**	—	0.872^**
2020年	上游	1.000^***	0.191	0.181	0.263	0.45	—	0.995^***	0.151	1.000^***
	中游	0.889^***	0.278	0.188	0.359	0.37	0.865^**	—	0.218	0.968^***
	下游	0.088	0.827^**	0.813^*	0.837^**	0.396	0.083	0.5	—	0.783

Fig.6 Influence mechanism of spatial distribution of coffee value chain in Yunnan Province

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