Decision and Policy Analysis Program, International Center for Tropical Agriculture, Cali, Colombia.
School of Advanced International Studies, Johns Hopkins University, Washington, DC, United States of America.
PLoS One. 2020 Apr 3;15(4):e0231071. doi: 10.1371/journal.pone.0231071. eCollection 2020.
At present, our ability to comprehend the dynamics of food systems and the consequences of their rapid 'transformations' is limited. In this paper, we propose to address this gap by exploring the interactions between the sustainability of food systems and a set of key drivers at the global scale. For this we compile a metric of 12 key drivers of food system from a globally-representative set of low, middle, and high-income countries and analyze the relationships between these drivers and a composite index that integrates the four key dimensions of food system sustainability, namely: food security & nutrition, environment, social, and economic dimensions. The two metrics highlight the important data gap that characterizes national systems' statistics-in particular in relation to transformation, transport, retail and distribution. Spearman correlations and Principal Component Analysis are then used to explore associations between levels of sustainability and drivers. With the exception of one economic driver (trade flows in merchandise and services), the majority of the statistically significant correlations found between food system sustainability and drivers appear to be negative. The fact that most of these negative drivers are closely related to the global demographic transition that is currently affecting the world population highlights the magnitude of the challenges ahead. This analysis is the first one that provides quantitative evidence at the global scale about correlations between the four dimensions of sustainability of our food systems and specific drivers.
目前,我们对食物系统动态及其快速“转型”后果的理解能力有限。在本文中,我们建议通过探索食物系统可持续性与全球范围内一系列关键驱动因素之间的相互作用来弥补这一差距。为此,我们从一组具有代表性的低收入、中等收入和高收入国家中编制了一套 12 个食物系统关键驱动因素的指标,并分析了这些驱动因素与综合指标之间的关系,该综合指标综合了食物系统可持续性的四个关键维度,即:粮食安全与营养、环境、社会和经济维度。这两个指标突出了国家系统统计数据的重要数据差距,特别是在转型、运输、零售和分销方面。然后使用斯皮尔曼相关性和主成分分析来探索可持续性水平和驱动因素之间的关联。除了一个经济驱动因素(商品和服务贸易流量)外,发现食物系统可持续性与驱动因素之间存在统计学意义的大多数相关性似乎都是负面的。大多数这些负面驱动因素与当前影响世界人口的全球人口结构转变密切相关,这突显了未来面临的挑战的规模。该分析首次在全球范围内提供了定量证据,证明了我们食物系统可持续性的四个维度与特定驱动因素之间的相关性。