文章摘要
张 婷,李书曼,伏开放,王瑾梵.广东省粮食供应链风险评估实证分析及控制策略研究[J].广东农业科学,2024,51(9):79-90
查看全文    HTML 广东省粮食供应链风险评估实证分析及控制策略研究
Empirical Analysis and Control Strategies of Grain Supply Chain Risk Assessment in Guangdong Province
  
DOI:10.16768/j.issn.1004-874X.2024.09.008
中文关键词: 粮食安全  粮食供应链风险评估指标体系  风险控制策略  因子分析  熵权法 -TOPSIS  灰色关联分析
英文关键词: grain security  risk assessment index of the grain supply chain  risk control strategy  factor analysis  entropy weight method - TOPSIS  gray relational analysis
基金项目:广东省哲学社会科学规划项目(GD24YXW04,GD23YGL17);广东省教育厅特色创新项目(2022WTSCX078); 清远市哲学社会科学规划课题(QYSK2024145,QYSK2024005)
作者单位
张 婷,李书曼,伏开放,王瑾梵 (1. 广东金融学院工商管理学院广东 广州 5105212. 广东金融学院金融数学与统计学院 广东 广州 5105213. 广东金融学院金融与投资学院广东 广州 510521) 
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中文摘要:
      摘 要:【目的】广东省作为全国最大的粮食主销区,其粮食安全问题在全国粮食安全大局中占有特殊重要地位, 该研究对广东省粮食供应链风险进行评估并提出控制策略。【方法】以国家统计局 2003—2021 年的数据为基础, 采用 SPSS 进行因子分析构建包含自然灾害受灾面积、突发环境事件次数、粮食类居民消费价格指数等 12 个指标的 粮食供应链风险评估指标体系。运用 Stata 进行熵权法 -TOPSIS,对样本数据进行粮食供应链风险评估分析,运用 Python 进行灰色关联法分析变化原因。【结果】广东省粮食供应链风险具体可总结为 3 个阶段:风险较高阶段(2003— 2007 年),2004 年风险贴合度为 0.62,达到近 20 年峰值;风险波动阶段(2008—2012 年),粮食供应链风险相 比于上一阶段有所下降,在平均风险上下起伏;风险稳定阶段(2013—2021 年),这一阶段的风险贴合度处于 0.3~0.4, 维持在平均水平左右。【结论】2003 年以来广东省粮食供应链风险整体呈下降趋势;外部风险较低,能够有效保 障粮食的外部供给,但粮食产量和储备不足;内部供给风险仍然较高,其中粮食产量、粮食企业抗风险能力、粮食 类居民消费价格指数是影响粮食供应链风险的主要因素,其灰色关联度分别为 0.831、0.824 和 0.805。该研究提出 改善粮食生产条件、转型粮企经营思维、优化粮食物流体系、拓宽粮食进口渠道等 4 个策略,以提高广东省粮食生 产并增加自给率、降低粮食供应链风险。
英文摘要:
      Abstract:【Objective】As the largest grain sales area in China, the grain security issue of Guangdong Province occupies a special important position in the overall situation of national grain security. The study evaluates the risk of the grain supply chain in Guangdong Province and proposes control strategies for the risks.【Method】Based on the data of National Bureau of Statistics from 2003 to 2021, we used SPSS to conduct factor analysis and constructed a risk assessment index system of grain supply chain from the production end, including 12 indicators such as the area affected by natural disasters, the number of environmental emergencies and the consumer price index for grain in Guangdong Province. By using Stata for entropy weight method - TOPSIS, the sample data were analyzed for grain supply chain risk assessment, and Python was used for gray relation analysis to analyze the causes of changes.【Result】The results of empirical analysis show that the risk of the grain supply chain in Guangdong Province can be summarized as three phases: the relatively higher risk phase (2003-2007), with a risk fit of 0.62 in 2004, reaching the peak in the past 20 years; the risk fluctuation phase (2008-2012), in which the risk of the grain supply chain declined compared with the previous phase, undulating up and down compared with the average level of risk; and the risk stabilization phase (2013-2021), in which the risk fit was between 0.3 and 0.4, maintaining around the average level. 【Conclusion】As a whole, the risk of the grain supply chain in Guangdong Province has been on a downward trend since 2003; the external risks are relatively low, and it can effectively safeguard the external supply of grain, but the grain production and reserves are insufficient; the internal supply risks are still high, among which the grain production, the risk-resistant capacity of grain enterprises and the consumer price index for grains are the main factors affecting the risk of the grain supply chain, with gray relations of 0.831, 0.824 and 0.805, respectively. In order to improve the self-sufficiency rate of grain in Guangdong Province and reduce the risk of the grain supply chain, four strategies for controlling the risk of the grain supply chain are proposed: improving the conditions of grain production, transforming the management mindsets of grain enterprises, optimizing the grain logistics system, and broadening the channels of grain imports.
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