全球农产品贸易具有深远的社会生态影响,从潜在的增加粮食供应和农业效率,为了取代当地社区,并激励环境破坏。供应链粘性,被理解为供应链参与者之间贸易关系的稳定性,缓和农业商品生产的影响和供应链干预的可能性。然而,什么因素决定粘性,也就是说,如何以及为什么农民,贸易商,食品加工机,和消费国,发展和维护与特定生产地区的贸易关系,尚不清楚。这里,我们使用巴西大豆供应链的数据,一种基于广泛的基于行动者的实地考察的混合方法方法,和解释性回归模型,识别和探索影响生产场所和供应链参与者之间粘性的因素。我们发现四组因素很重要:经济激励,制度上的推动者和约束,社会和权力维度,以及生物物理和技术条件。在我们探索的因素中,大豆加工基础设施的过剩产能,(即,破碎和储存设施)对增加粘性很重要,外向型生产也是如此。相反,由农场门大豆价格和较低的土地使用权安全性表示的市场需求波动是降低粘性的关键因素。重要的是,我们揭示了决定粘性的因素中的异质性和背景特异性,建议量身定制的供应链干预措施是有益的。了解供应链粘性不会,本身,提供银弹解决方案来阻止森林砍伐,但这是理解供应链参与者和生产地区之间关系的关键先决条件,确定供应链可持续性干预措施的切入点,评估此类干预措施的有效性,预测贸易流动的结构调整,并在区域规划中考虑供应链参与者的采购模式。
The global trade of agricultural commodities has profound social-ecological impacts, from potentially increasing food availability and agricultural efficiency, to displacing local communities, and to incentivizing environmental destruction. Supply chain stickiness, understood as the stability in trading relationships between supply chain actors, moderates the impacts of agricultural commodity production and the possibilities for supply-chain interventions. However, what factors determine stickiness, that is, how and why farmers, traders, food processors, and consumer countries, develop and maintain trading relationships with specific producing regions, remains unclear. Here, we use data on the Brazilian soy supply chain, a mixed methods approach based on extensive actor-based fieldwork, and an explanatory regression model, to identify and explore the factors that influence stickiness between places of production and supply chain actors. We find four groups of factors to be important: economic incentives, institutional enablers and constraints, social and power dimensions, and biophysical and technological conditions. Among the factors we explore, surplus capacity in soy processing infrastructure, (i.e., crushing and storage facilities) is important in increasing stickiness, as is export-oriented production. Conversely, volatility in market demand expressed by farm-gate soy prices and lower land-tenure security are key factors reducing stickiness. Importantly, we uncover heterogeneity and context-specificity in the factors determining stickiness, suggesting tailored supply-chain interventions are beneficial. Understanding supply chain stickiness does not, in itself, provide silver-bullet solutions to stopping deforestation, but it is a crucial prerequisite to understanding the relationships between supply chain actors and producing regions, identifying entry points for supply chain sustainability interventions, assessing the effectiveness of such interventions, forecasting the restructuring of trade flows, and considering sourcing patterns of supply chain actors in territorial planning.