程云洁, 燕鑫. 全球花卉贸易网络结构演变及驱动因素分析[J]. 云南农业大学学报(社会科学), 2024, 18(2): 65−73. doi: 10.12371/j.ynau(s).202312009
引用本文: 程云洁, 燕鑫. 全球花卉贸易网络结构演变及驱动因素分析[J]. 云南农业大学学报(社会科学), 2024, 18(2): 65−73. doi: 10.12371/j.ynau(s).202312009
CHENG Yunjie, YAN Xin. Analysis on the Evolution of Global Flower Trade Network Structure and Driving Factors[J]. Journal of Yunnan Agricultural University (Social Science), 2024, 18(2): 65-73. DOI: 10.12371/j.ynau(s).202312009
Citation: CHENG Yunjie, YAN Xin. Analysis on the Evolution of Global Flower Trade Network Structure and Driving Factors[J]. Journal of Yunnan Agricultural University (Social Science), 2024, 18(2): 65-73. DOI: 10.12371/j.ynau(s).202312009

全球花卉贸易网络结构演变及驱动因素分析

Analysis on the Evolution of Global Flower Trade Network Structure and Driving Factors

  • 摘要: 随着人们消费观念的转变和全球物流水平的不断提高,花卉已成为居民的日常消费品,全球花卉的消费与需求规模不断扩大,厘清其贸易网络结构演变及驱动因素,对加强全球花卉贸易联系,提高我国花卉国际循环利用能力具有重要意义。基于UN comtrade数据库选取2012—2021年全球花卉贸易数据,运用社会网络法构建全球花卉贸易网络研究其网络拓扑结构特征,运用QAP分析法研究全球花卉贸易网络发展的驱动因素。结果显示:全球花卉贸易网络具有较高连通性和相互依赖程度,贸易网络社区分化程度逐渐减弱;发达国家在花卉贸易网络中拥有较大的影响力,新兴花卉国家正不断发展。两国间的经济距离、地理邻近性、语言邻近性对全球花卉贸易网络的作用显著为正,两国间的物流水平距离、农业技术距离、水资源禀赋距离对全球花卉贸易网络的作用显著为负。

     

    Abstract: With the change of people’ s consumption concept and the continuous improvement of global logistics level, flowers have become a daily consumer goods of residents, and the scale of global flower consumption and demand is expanding constantly. Based on the UN comtrade database, the data of global flower trade from 2012 to 2021 were selected, and the social network method was used to construct the global flower trade network to study the characteristics of its network topology. The results showed that, the global flower trade network had a high degree of connectivity and interdependence, and the degree of community differentiation in the trade network gradually weakened. Developed countries had a great influence in the flower trade network, and emerging flower countries were constantly developing. The economic distance, geographical proximity and language proximity between the two countries had significantly positive effects on the global flower trade network, while the logistics level distance, agricultural technology distance and water endowment distance between the two countries had significantly negative effects on the global flower trade network.

     

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