Dynamics of global pork trade networks during 2000-2019 and its implications for China: A complex network analysis

Li, Tian-xiang; Liu, Xingyu; Wang, Rongbo; Zhu, Jiabin

doi:10.31497/zrzyxb.20210616

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…Shutters and Muneepeerakul applied social network analysis to investigate international agricultural trade networks and their relationship to patterns of international development [17]. As research continues, further trade network studies of various food types have emerged, including those focusing on seafood [18], meat [19,20], cereal [21], and soybean [22]. Research into the growing segmentation of trade networks involving wheat [23,24], maize [25], and rice [26] provides important theoretical support for developing more beneficial, evidence-based food security strategies.…”

Section: Introductionmentioning

confidence: 99%

Characterizing the Structural Evolution of Cereal Trade Networks in the Belt and Road Regions: A Network Analysis Approach

Chen

Zhang

2022

Foods

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Cereal trade is essential for economic and commercial cooperation among countries along the “Belt and Road” (BRI). It helps ensure food security and contributes to building a community of interests and destinies for the BRI countries. Based on the UN Comtrade database, this study, using a network analysis approach, investigates the structural characteristics and spatiotemporal dynamics of cereal trade networks among the “Belt and Road” countries. Results show that: (1) The cereal trade among the BRI countries has formed well-connected and complex trade networks, and the “Belt and Road” initiative has significantly promoted cereal trade networks among the BRI countries. (2) The backbone structures of cereal trade networks along the BRI are in geographical proximity. India, Russia, and Ukraine are the most important trading partners and absolute core nodes in the trade networks, influencing the entire cereal trade networks. (3) The BRI cereal trade networks exhibit significant core-periphery structures, with considerable power asymmetries between the countries reflecting food supply and demand differences. In general, the BRI cereal trade networks have developed from relatively diversified to polarized. Supply chains in the cereal trade network are dominated by a few large countries and are fragile, with weak resilience and low resistance to risk. Therefore, governments should continue to strengthen regional cooperation, optimize cereal trade network structure, enhance their reserve capacity, and build a stronger system to guarantee food security and prevent risk. All these measures will support the food security of the “Belt and Road” countries.

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Section: Introductionmentioning

confidence: 99%

Characterizing the Structural Evolution of Cereal Trade Networks in the Belt and Road Regions: A Network Analysis Approach

Chen

Zhang

2022

Foods

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“…In this way, the circulation process of agricultural product trade can be viewed as a whole system. Researchers have also studied the spatial interaction patterns (Gephart et al, 2015;Dong et al, 2018) and evolutionary laws of the network (Wang et al, 2018;Li et al, 2021) and analyzed the determinants of APC Yang et al, 2021). Spatial interaction analysis is of great significance for understanding the movement rules of individual flow components and the spatial characteristics of intercity linkages, which have become a new perspective for studying the patterns and mechanisms of geographic systems (Liu et al, 2020;Pei et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal interaction pattern of the Beijing agricultural product circulation

Zhao

Cheng

2023

J. Geogr. Sci.

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Identifying the spatiotemporal interaction pattern of agricultural product circulation (APC) is crucial for agricultural resource adjustment and food security. Current studies are mostly based on static statistical data over an entire year or a specific period, which cannot describe the spatial pattern of APC and its seasonal variation on a fine spatiotemporal scale. Thus, this study extracts an APC trip chain based on national truck trajectory data and constructs the flow network of the Beijing APC with the city as the spatial unit and the season as the temporal unit. The spatial interaction pattern and seasonal variation in APC are then analyzed from the network spatial form, city node function role, and transportation corridors. The results are as follows: (1) Compared with methods based on static statistical data, the proposed method provides a more complete and refined depiction of the spatiotemporal interaction pattern of APC. (2) The flow network of the Beijing APC involves 316 cities in China, of which 143 cities play a major role with typical seasonal characteristics. These cities can be divided into perennial core cities, perennial major cities, core cities in winter-spring, major cities in winter-spring, core cities in summer-autumn, and major cities in summer-autumn, contributing 2.6%–40.3% to the Beijing APC. (3) There are 6 transportation corridors for the Beijing APC. The Beijing-Tianjin-Hebei corridor and coastal corridor contribute 53.5% and 12.8% of the annual supply, respectively, with a balanced supply in all seasons. The Beijing-Kunming corridor and Beijing-Guangzhou corridor contribute 14.3% and 9.0%, respectively, with much higher supplies in winter and spring. The northeast and northwest corridors contribute 7.3% and 3.3%, respectively, mainly in the summer and autumn. These results help deepen the understanding of agricultural product supply patterns and provide a reference for the design and optimization of agricultural product transportation routes.

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Dynamics of global pork trade networks during 2000-2019 and its implications for China: A complex network analysis

Cited by 2 publications

References 12 publications

Characterizing the Structural Evolution of Cereal Trade Networks in the Belt and Road Regions: A Network Analysis Approach

Characterizing the Structural Evolution of Cereal Trade Networks in the Belt and Road Regions: A Network Analysis Approach

Spatiotemporal interaction pattern of the Beijing agricultural product circulation

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