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Efficiency Measurements in Multi-activity Data Envelopment Analysis with Shared Inputs: An Application to Farmers’ Organizations in Taiwan

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  • Chen, Po-Chi
  • Hsu, Shih-Hsun
  • Chang, Ching-Cheng
  • Ming-Miin, Yu

Abstract

A multi-activity DEA model with variable returns to scale is proposed to provide information on the efficiency performance of organizations with inputs shared among several closely-related activities. The model is applied to study the case of 279 farmers’ cooperatives in Taiwan. The results provide overall and individual performance measures for each activity as well as suggestions for future improvement. Inter-firm networking should be strengthened and thus policies that promote the consolidation of TFCs will not be sufficient to meet the public goal of institutional reform.

Suggested Citation

  • Chen, Po-Chi & Hsu, Shih-Hsun & Chang, Ching-Cheng & Ming-Miin, Yu, 2009. "Efficiency Measurements in Multi-activity Data Envelopment Analysis with Shared Inputs: An Application to Farmers’ Organizations in Taiwan," 2009 Conference, August 16-22, 2009, Beijing, China 51657, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae09:51657
    DOI: 10.22004/ag.econ.51657
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    References listed on IDEAS

    as
    1. Amor Diez-Ticio & Maria-Jesus Mancebon, 2002. "The efficiency of the Spanish police service: an application of the multiactivity DEA model," Applied Economics, Taylor & Francis Journals, vol. 34(3), pages 351-362.
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    4. Wade Cook & Moez Hababou & Hans Tuenter, 2000. "Multicomponent Efficiency Measurement and Shared Inputs in Data Envelopment Analysis: An Application to Sales and Service Performance in Bank Branches," Journal of Productivity Analysis, Springer, vol. 14(3), pages 209-224, November.
    5. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    6. Jenkins, Larry & Anderson, Murray, 2003. "A multivariate statistical approach to reducing the number of variables in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 147(1), pages 51-61, May.
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