Mathematical Sciences Discipline, School of Science, RMIT University, Melbourne, Victoria, Australia.
Sci Total Environ. 2020 Nov 1;741:139616. doi: 10.1016/j.scitotenv.2020.139616. Epub 2020 Jun 15.
Climate change is one of the serious issues humankind is currently facing. It impacts almost all the processes in nature and threatens the existence of species and biodiversity; hence, the whole process of the food cycle. To mitigate the influence of climate change on vital processes in nature, we need to understand the pattern and magnitude of the relationship between climate change and impacted processes in nature. In this article, we explore the impact of climate change on wheat production in terms of short and long-run relationships between world wheat production, carbon dioxide emissions, and surface temperature anomalies. We present new information on the nexus between climate change and wheat production using autoregressive distributed lag (ARDL) models and ARDL bounds test of cointegration. We observe a significant cointegration relationship among world wheat production, carbon dioxide emissions, and surface temperature anomalies series. Lagged short-run impacts of temperature anomalies and carbon dioxide emissions are found significant. The long-run impact of both series on world wheat production is significant with a high correction speed to any instability between wheat production and the proxies of climate change.
气候变化是人类目前面临的严重问题之一。它几乎影响了自然界中的所有过程,威胁着物种和生物多样性的存在;因此,整个食物链过程也受到了影响。为了减轻气候变化对自然界重要过程的影响,我们需要了解气候变化与受影响的自然过程之间关系的模式和幅度。在本文中,我们探讨了气候变化对小麦生产的影响,分析了世界小麦产量、二氧化碳排放和地表温度异常之间的短期和长期关系。我们使用自回归分布滞后 (ARDL) 模型和协整的 ARDL 边界检验,提供了关于气候变化与小麦生产之间关系的新信息。我们观察到世界小麦产量、二氧化碳排放和地表温度异常系列之间存在显著的协整关系。温度异常和二氧化碳排放的短期滞后影响被发现是显著的。这两个系列对世界小麦产量的长期影响是显著的,并且对小麦生产和气候变化指标之间的任何不稳定都具有较高的修正速度。