Li Junjie, Xiao Qin, Wu Haixia, Li Jianping
Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
State Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China, The Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Foods. 2024 Feb 16;13(4):604. doi: 10.3390/foods13040604.
The challenging international landscape and exacerbated extreme weather conditions contribute to the instability of global grain trade, complicating its impact on food security. This complexity is particularly pronounced for varieties like rice, which are heavily affected by policy-driven trade restrictions. There is insufficient research on how a country's rice trade characteristics affect food security. A network analysis approach is adopted to intricately dissect the structural characteristics of rice trade. To explore causality with food insecurity, this paper chooses structural holes and centrality as representatives of trade network characteristics and regresses them on the food insecurity indicator. With cross-national data spanning over 30 years, the network analysis provides a clear portrayal of the dynamic changes in international rice trade. The overall resilience of the trade network has increased, but specific countries' vulnerability has also risen. Unlike the changing trends in features observed in grain and food trade networks, there is a notable intensification in the imbalance of power distribution in the rice trade network compared to over 30 years ago. The panel data regression results show that constraint, indicating the scarcity of structural holes or connections to stronger trading partners, significantly and positively influences a country's level of food insecurity. Based on these findings, the policy proposal for importing countries emphasizes creating strategic trade connections. By choosing appropriate trade partners that reduce constraint, food security can be enhanced, even without improvements in other conditions.
具有挑战性的国际形势和日益加剧的极端天气状况导致全球粮食贸易不稳定,使其对粮食安全的影响变得复杂。这种复杂性在水稻等品种上尤为明显,水稻受到政策驱动的贸易限制的严重影响。关于一个国家的水稻贸易特征如何影响粮食安全的研究不足。采用网络分析方法深入剖析水稻贸易的结构特征。为了探究与粮食不安全的因果关系,本文选择结构洞和中心性作为贸易网络特征的代表,并将它们与粮食不安全指标进行回归分析。通过跨越30多年的跨国数据,网络分析清晰地描绘了国际水稻贸易的动态变化。贸易网络的整体韧性有所增强,但特定国家的脆弱性也有所上升。与谷物和粮食贸易网络中观察到的特征变化趋势不同,与30多年前相比,水稻贸易网络中权力分配的不平衡显著加剧。面板数据回归结果表明,约束(即与更强贸易伙伴的结构洞或联系稀缺)对一个国家的粮食不安全水平有显著的正向影响。基于这些发现,进口国的政策建议强调建立战略贸易联系。通过选择合适的贸易伙伴来减少约束,即使在其他条件没有改善的情况下,也可以提高粮食安全。