灾害对农业部门造成的损害和损失评估(格鲁吉亚案例研究)

Grigol Modebadze
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引用次数: 0

摘要

自然灾害和人为灾害可能扰乱农业部门并对其产生负面影响。0由于气候变化的影响,灾害可能会变得更加频繁和严重,因此需要对其造成的破坏和损失进行评估,因为准确的部门具体灾害损失和损害数据是减少灾害风险和制定政策的重要指标。本文回应了建立格鲁吉亚农业部门损失评估统一方法的必要性。本文介绍了一个农业部门损害评估的综合公式。评估公式的设计符合仙台框架的要求,同时加强了对农业损害的多时间维度评估。拟议的方法不同于其他众所周知的方法(拉加经委会-达拉、粮农组织和联合国开发计划署的方法),排除了某些方面,并增加了相关变量(例如,按区域、灌溉和品种划分的每公顷产量;在考虑到多年生作物完全恢复之前的生产能力等)。收集的数据可用于计算农业部门的补偿金额,并改进补偿程序。此外,它还将使相关政府机构、私人保险公司和研究机构能够开发(校准)损害和损失评估模型。关键词灾害评估,损失和损失,农业部门,格鲁吉亚JEL代码:Q10,Q18,Q58
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Damage and Loss Assessment in Agriculture Sector Caused by Hazards (Georgian Case Study)
Natural and man-made hazards may disrupt and affect negatively agricultural sector. 0Damage and loss caused by disasters which are likely to become more frequent and severe due to Climate Change effects, need to be assessed, because precise sector-specific disaster losses and damage data are a vital indication for disaster risk reduction and policy-making. This paper responds to the necessity of creation a unified methodology for the damage and loss assessment in Agriculture Sector in Georgia. The paper introduces a comprehensive formula for damage assessment in agriculture sector. Assessment formulas has been designed to be compliant to the Sendai Framework requirements while enforcing the assessment of damages in agriculture with a multi-temporal dimension. The proposed methodology differs from other well know methodologies (ECLAC- DaLA, FAO and UNSDR methodologies) by excluding certain aspects and adding relevant variables (e.g. yield per hectare by region, irrigation and varieties; production capacity until full recovery of perennial crops etc. has been considered). Collected data can be used to calculate volume of compensation in agriculture sector and improve compensation procedures. As well as, it will enable relevant government agencies, private insurance companies, and research institutes to develop (calibrate) damage and loss assessment models. Keywords Disaster Assessment, Damage and Loss, Agriculture Sector, Georgia JEL Codes: Q10, Q18, Q58
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