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Frontier analysis of the Philippine manufacturing efficiency

Authors: Eduardo S. Gayosa; Emilyn C. Cabanda;

Frontier analysis of the Philippine manufacturing efficiency

Abstract

This research investigates the efficiency of 100 firms from ten selected manufacturing industries in the Philippines over the period 1995–2004, using the two frontier models. The aim of this research is to evaluate and measure the technical efficiency of selected firms by applying the data envelopment analysis (DEA) and stochastic frontier analysis (SFA) approaches. A total of 1,000 pooled data are analysed using both DEA and SFA methods. New findings reveal that the average technical efficiency scores of DEA and SFA are 57.4% and 82.63, respectively, but no statistically significant correlation found. New results also suggest that older firms tend to be more technically inefficient than younger firms while larger firms tend to be more technically efficient than smaller firms. Significantly, this research has also found that an imposition of higher tariff rates can make firms to be technically inefficient. Overall, this research provides significant evidences on the usefulness of two frontier methods for evaluating manufacturing efficiency as alternative tools of performance measurement for managerial decision making.

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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!
2
Average
Average
Average
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