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Looking at Local Government Resilience through Network Data Envelopment Analysis

Authors: Domingo, Sonny N.; Manejar, Arvie Joy A.;

Looking at Local Government Resilience through Network Data Envelopment Analysis

Abstract

The study looks into the disaster risk resilience of provincial governments in the Philippines using World Bank (WB) socioeconomic resiliency estimates and cross-sectional data generated by the Department of Interior and Local Government and the Philippine Statistics Authority. Treating provincial governments as decisionmaking units (DMUs) with bureaucratic sub-units at the provincial and city/municipal levels, composite efficiency scores were generated using an integrated Data Envelopment Approach. A WB-generated socioeconomic resiliency scorecard at the provincial level provided comparative output references for the model. Results show that disaster risk reduction and management inputs at the provincial and sub-province levels greatly contribute to improving socioeconomic capacity and decreasing asset risk. However, DMU efficiency scores varied across the different sub-regional domains. A majority of provincial subDMUs also got higher efficiency ratings compared to their municipal/community subDMU counterparts, implying the need to rebalance support and disaster resilience -related initiatives at the sub-provincial levels.

Keywords

ddc:330, Data Envelopment Analysis, Disaster Resiliency, Disaster Risk Reduction and Management

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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