MCDM'11 - paper no. 7

 

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APPLICATION OF DEA MODEL WITH BOOTSTRAP TO EVALUATION OF SMES EFFICIENCY IN THE SPANISH TEXTILE INDUSTRY

Kapelko Magdalena

Abstract:

The Spanish textile industry underwent an important transformation during the 1990s. To survive under new market conditions, firms had to refocus their competitive strategies towards an increase in productive efficiency or an investment in technological development. The purpose of this paper is to evaluate the technical efficiency in the sample of 66 micro, small and medium-sized textile companies that operated in the Spanish region of Catalonia during the 1996-2001 period. Based on the firm-level accounting data we derive efficiency estimates using Data Envelopment Analysis model with bootstrap. The general result of this study shows that firms in the sample are on average relatively highly efficient in their productive process. The bias-corrected efficiency score reaches the 0.817 level and it slightly fluctuates during the period analyzed.

Keywords:

Textile industry, efficiency, DEA, SMEs.

Reference index:

Kapelko Magdalena , (2011), APPLICATION OF DEA MODEL WITH BOOTSTRAP TO EVALUATION OF SMES EFFICIENCY IN THE SPANISH TEXTILE INDUSTRY, Multiple Criteria Decision Making (6), pp. 133-148

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Scopus citations in 2 paper(s):
  1. Bahta, Y. T., Jordaan, H., & Sabastain, G. (2020). Agricultural management practices and factors affecting technical efficiency in zimbabwe maize farming. Agriculture (Switzerland), 10(3) doi:10.3390/agriculture10030078
  2. Mishra, R. K., & Pal, S. (2017). Benchmarking indian SMEs: A DEA approach. International Journal of Process Management and Benchmarking, 7(3), 305-331. doi:10.1504/IJPMB.2017.084907