主管单位:中国科学技术协会
主办单位:中国地理学会
承办单位:华东师范大学

世界地理研究 ›› 2024, Vol. 33 ›› Issue (8): 174-188.DOI: 10.3969/j.issn.1004-9479.2024.08.20222523

• 城市与产业 • 上一篇    

云南省县域边境地方贸易时空演变及驱动因素

刘宇斯1,3(), 李灿松1,2,3,4(), 葛旭瑞1, 王涛1, 王帆1   

  1. 1.云南师范大学,地理学部,昆明 650500
    2.云南师范大学,教育部国别与区域研究中心缅甸研究中心,昆明 650500
    3.西南联合研究生院,昆明 650092
    4.云南省社会科学院,昆明 650100
  • 收稿日期:2022-12-27 修回日期:2023-04-06 出版日期:2024-08-15 发布日期:2024-08-21
  • 通讯作者: 李灿松
  • 作者简介:刘宇斯(1995—),男,博士研究生,研究方向为南亚东南亚地缘政治与民族地理,E-mail:2500218059@qq.com
  • 基金资助:
    云南省科技基础专项重点项目(202001AS070032);云南省教育厅科学研究基金项目(2023Y0524)

Spatial and temporal evolution of border trade in Yunnan counties and its influencing factors

Yusi LIU1,3(), Cansong LI1,2,3,4(), Xurui GE1, Tao WANG1, Fan WANG1   

  1. 1.a Department of Geography, 1b. Myanmar Research Center, Center for Country and Regional Studies, Ministry of Education, Yunnan Normal University, Kunming 650500, China; 2. Southwest United Graduate School, Kunming 650092, China; 3. Yunnan Academy of Social Sciences, Kunming 650100, China
  • Received:2022-12-27 Revised:2023-04-06 Online:2024-08-15 Published:2024-08-21
  • Contact: Cansong LI

摘要:

借助CV系数和GIS空间分析刻画云南省县域边境贸易时空演变特征及发展模式,结合边境贸易发展水平模型,深入分析其发展格局,并运用地理探测器探析其边境贸易的驱动机制。结果表明:①云南省县域边境贸易整体呈现上升趋势,且县域间总量差异较大分布不均,以西部瑞丽市、南部勐腊县为代表的县域贸易总量较高,而西南部西盟县、西北部泸水等县域整体贸易量较小。②2010—2020年,云南县域边境贸易发展格局变化差异明显,边境贸易中心呈“L”形特征,并逐渐向中缅边境方向转移。③同期,西部、东南部边境县域边境贸易发展水平较高,增速稳定;西北、西南部发展水平低,增长较快;南部发展水平较高,增长缓慢。④影响县域边境贸易的主要驱动因素为政策和交通因素,次要驱动因素为人均GDP,同时边境县域所对应邻国不同,其驱动因素也存在差异。

关键词: 边境贸易, 时空演变, 县域边境, 驱动因素, 云南省

Abstract:

Using Coefficient of Variation and GIS spatial analysis, we detected the spatial and temporal evolution and development patterns of border trade in Yunnan counties, analyze the development pattern of border trade in depth by combining with the model of border trade development level, and explore the driving mechanism of border trade by using geographic probes. The results show that: ① the overall trend of county border trade in Yunnan Province is on the rise, and the total volume varies unevenly among counties, with Ruili City in the west and Mengla County in the south as the representative counties with higher total trade volume, while the overall trade volume in Ximeng County in the southwest and Lushui County in the northwest is smaller.② From 2010 to 2020, the development pattern of county border trade in Yunnan Province varies.③ During the same period, the border trade development in the western and southeastern border counties is high and the growth rate is stable; the development in the northwestern and southwestern counties is low and the growth is fast; the development in the southern counties is high and the growth is slow.④ The main driving factors affecting the border trade in the counties factors are policy and transportation factors, and the secondary driver is GDP per capita, while there are differences in the driving factors of border counties with different neighboring countries.

Key words: border trade, temporal and spatial evolution, county borders, driving factors, Yunnan Province