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Efficiency Analysis and Finance Strategy for an Automotive Parts Maker Using DEA and Logistic Regression Model
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 Title & Authors
Efficiency Analysis and Finance Strategy for an Automotive Parts Maker Using DEA and Logistic Regression Model
Sin, Jeong-Hun; Hwang, Seung-June;
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 Abstract
This study applied DEA analysis to measure the relative efficiency of 35 companies that produce automobile body components. First, the input and output, the improvement target value of the calculated variables, and the reference group for benchmarking for inefficient groups to become efficient groups were established through DEA analysis. In addition, whether inefficiency was due to technical inefficiency or size was analyzed in connection with the cases of the actual companies through the measurement of scale efficiency. Second, a route for efficiency improvement was derived through DEA-Tier analysis by defining the possible group for benchmarking in actuality within the production industry of automobile body components where the primary cooperative company belonged. Third, the financial variables that generate the difference between efficient and inefficient groups were derived through logistic regression analysis. Financial strategies that determine the direction the indices should be improved to allow the inefficient group to become an efficient one were recommended. This research is expected to provide diagnostic methods for management efficiency and the direction of improvement to enhance the management efficiency of automotive parts makers by identifying the causes of the inefficiency of domestic automotive parts makers empirically. The study also provides financial strategies together with the target values of efficiency improvement for each individual company.
 Keywords
DEA;Efficiency Analysis;Automobile;Logistic Regression;
 Language
Korean
 Cited by
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