在开发改进的粮食安全指数时应用地理空间技术和决策模型
E C Chukwuma1,2, O O D Afolabi3, C C Okonkwo1
1Department of Agricultural and Bioresources EngineeringFaculty of Engineering, Nnamdi Azikiwe University, Awka, Nigeria.
Scientific reports
|December 5, 2024
概括
这项研究为尼日利亚推出了新的混合食品安全指数 (HFSI),揭示了贫困对粮食安全产生重大影响. 调查结果表明,优先考虑减轻贫困和女性.
科学领域:
- 农业经济学 农业经济学
- 食品安全研究 食品安全研究
- 地理信息系统 (GIS) 是指地理信息系统.
背景情况:
- 发展中国家面临着严重的粮食安全危机.
- 现有的粮食安全评估缺乏局部背景和具体信息.
- 准确的评估对于有效的粮食不安全减缓政策至关重要.
研究的目的:
- 提出和验证一个新的混合食品安全指数 (HFSI).
- 用局部变量评估尼日利亚各州的粮食安全.
- 确定尼日利亚粮食不安全的主要驱动因素.
主要方法:
- 混合食品安全指数 (HFSI) 的发展.
- 混合多标准决策模型 (MCDM) 与地理空间技术的整合.
- 分析数据,包括食品消费,贫困,价格波动,通货膨胀,气候和道路基础设施.
主要成果:
- 地理空间分析表明,与北方地区相比,尼日利亚南部的粮食安全更好.
- 贫困水平被确定为影响粮食安全的最重要因素 (优先权重为0.1487).
- 指标的表现从北向南总体上有所改善,突出地区差异.
结论:
- 减贫计划对于提高尼日利亚的粮食安全至关重要.
- 建议优先考虑妇女发展计划.
- 高粮食安全指数为决策者提供基于证据的见解,以应对粮食安全挑战.
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