危机中最脆弱的暴露:基于多准则决策分析的采购能力指数分析

J. Barajas
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摘要

本文提出了一种多标准决策分析方法,用于制定菲律宾地方政府单位(lgu)的采购能力指数。该指数用于评估地方政府单位在危机时期,特别是在2019冠状病毒病大流行背景下的复原力。本研究利用菲律宾政府于2020年1月至6月公布的两个开放数据集,确定了采购能力指数的五个标准:合同批准预算总额、内部收入分配、中标数量、发布招标数量和资金利用率。然后采用标准影响损失(CILOS)法确定识别出的一组标准的权重向量,并基于这些向量的加权和计算指数。这项研究发现,资金利用率和内部收入分配是确定地方政府单位在大流行病等危机期间获得货物或服务的能力的两个最重要的标准。这种见解与回顾文献中所揭示的从美国、英国和加拿大的用例中得出的观察结果是一致的。结果还显示,地方政府部门可以根据其采购能力分为三类:低、中、高。此外,开发的指标促进了地方政府部门按照采购能力进行排名,揭示了II、III、VI、VII、VIII和X地区的地方政府部门预算拨款不足,强烈建议国家政府紧急干预。总的来说,开发的指数可以作为一个有价值的决策援助工具,帮助政府确定需要额外支持的地方政府单位,以获得所需的资源或服务,以减轻危机的后果。
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Uncovering the Most Vulnerable in Times of Crisis: Analyzing Procurement Capacity Index with Multi-Criteria Decision-Analysis
This paper presents a multi-criterion decision analysis approach to developing a procurement capacity index for local government units (LGUs) in the Philippines. The index serves to assess the resilience of LGUs in times of crisis, particularly in the context of the COVID-19 pandemic. This study utilized two open datasets published by the Philippine government from January to June 2020, and identified five criteria for the procurement capacity index: total approved budget of the contract, internal revenue allotment, number of awarded tenders, number of tenders posted, and fund utilization rate. This study then employed the criterion impact loss (CILOS) method to determine the weight vectors of the identified set of criteria, and calculate the index as a weighted sum based on these vectors. This study found that the fund utilization rate and internal revenue allotment are the two most important criteria for determining the capacity of an LGU to secure goods or services during a crisis such as the pandemic. This insight is consistent with observations drawn from use cases in the US, UK, and Canada as revealed in reviewed literature. Results also revealed that LGUs can be categorized into three clusters based on their procurement capacities: low, medium, and high. Moreover, the developed index facilitated the ranking of LGUs according to their procurement capacity, revealing that LGUs located in Regions II, III, VI, VII, VIII, and X have insufficient budget allocation, thus strongly suggesting urgent intervention from the national government. Overall, the developed index can serve as a valuable decision aid tool to assist the government in identifying LGUs that need additional support to procure resources or services required to mitigate the consequences of a crisis.
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