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基于引力模型的中国东北粮食市场对气候变化的响应

Response of the Northeast China grain market to climate change based on the gravity model approach.

作者信息

Viet Ha Trinh Thi, Zhou Wenqi

机构信息

College of Engineering, Northeast Agricultural University, Harbin, 150030, China.

出版信息

Heliyon. 2024 Aug 10;10(16):e36139. doi: 10.1016/j.heliyon.2024.e36139. eCollection 2024 Aug 30.

Abstract

Scientific evidence has revealed that climate change negatively affects agricultural crop production both regionally and globally. Previous studies have indicated that the role of climate change is significant in some parts of China. Thus, assessing the impact of the future climate on the grain market is vital for ensuring regional and national food security. In this study, regional climate model (RCM 4.5 and 8.5) simulations were employed to investigate the role of future climate change on a major grain-producing market in China (Northeast China). For this purpose, historical (2004-2017) and future (2020-2076) data were applied in the gravity model to examine the effects of climate change on the Northeast China grain market. The results revealed that the maximum temperature is a crucial climate factor that significantly affects the grain market. The analysis revealed that precipitation was positively related and that the temperature was significantly negatively related to domestic consumption and exports of rice, maize, and soybean. Moreover, the analysis of the RCM (4.5 and 8.5) simulations revealed a negative contribution of the maximum temperature to domestic consumption and export levels. Overall, the analysis enhances our understanding of the impacts of climate change on the Northeast China grain market.

摘要

科学证据表明,气候变化在区域和全球层面均对农作物产量产生负面影响。此前的研究表明,气候变化在中国部分地区的影响显著。因此,评估未来气候对粮食市场的影响对于确保区域和国家粮食安全至关重要。在本研究中,采用区域气候模型(RCM 4.5和8.5)模拟来探究未来气候变化对中国一个主要粮食生产市场(中国东北地区)的作用。为此,将历史数据(2004 - 2017年)和未来数据(2020 - 2076年)应用于引力模型,以检验气候变化对中国东北粮食市场的影响。结果显示,最高温度是一个对粮食市场有显著影响的关键气候因素。分析表明,降水量呈正相关,而温度与大米、玉米和大豆的国内消费及出口呈显著负相关。此外,对RCM(4.5和8.5)模拟的分析显示,最高温度对国内消费和出口水平有负面影响。总体而言,该分析增进了我们对气候变化对中国东北粮食市场影响的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8863/11366875/1ee7875e0bee/gr1.jpg

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