Analysis of the Structure Characteristics and Influencing Factors of the Global Flower Trade Network

Global flower trade plays an important economic, cultural and environmental role in international trade, so it is of great significance to construct and analyze flower trade network. Through the construction of the global flower trade network from 2014 to 2023, this paper analyzes its structural characteristics and space-time evolution law, and finds that the global flower trade network has an obvious core-edge structure, and core countries such as the Netherlands, Germany and the United States occupy a dominant position in the trade, and the network stability is high. Then, from the perspective of flower planting, the explanatory variables were set in combination with flower transportation, national politics, economy and culture, etc., and the influencing factors of global flower trade were analyzed using the QAP model. The regression results showed that economic development level and geographical proximity had a significant positive impact on flower trade, while water resource richness had a negative impact, and language similarity promoted trade development.

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Publication Details

Journal
Applied and Computational Engineering
Published
2024-11-26
DOI
https://doi.org/10.54254/2755-2721/2024.17898
Primary Topic
Ecology and Conservation Studies
Type
article
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article

Analysis of the Structure Characteristics and Influencing Factors of the Global Flower Trade Network

F. Benjamin Zhan, Xiangmin Zhang
Applied and Computational Engineering
Ecology and Conservation Studies
article

Analysis of the Structure Characteristics and Influencing Factors of the Global Flower Trade Network

F. Benjamin Zhan, Xiangmin Zhang
article en

Abstract

Global flower trade plays an important economic, cultural and environmental role in international trade, so it is of great significance to construct and analyze flower trade network. Through the construction of the global flower trade network from 2014 to 2023, this paper analyzes its structural characteristics and space-time evolution law, and finds that the global flower trade network has an obvious core-edge structure, and core countries such as the Netherlands, Germany and the United States occupy a dominant position in the trade, and the network stability is high. Then, from the perspective of flower planting, the explanatory variables were set in combination with flower transportation, national politics, economy and culture, etc., and the influencing factors of global flower trade were analyzed using the QAP model. The regression results showed that economic development level and geographical proximity had a significant positive impact on flower trade, while water resource richness had a negative impact, and language similarity promoted trade development.

Applied and Computational EngineeringVol. 109(1)
China University of Geosciences (Beijing) (CN)
Openalex Percentile: Top 88%
Ecology and Conservation Studies
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