TY - JOUR
T1 - Data envelopment analysis in resource allocation
T2 - An application to forest management
AU - Kao, Chiang
N1 - Funding Information:
This research is supported by the Natonail Science Council of the Repulic boCfna hurincdoteNn.torac NSC85-2416-H006-003.
PY - 2000/9
Y1 - 2000/9
N2 - This paper discusses the resource allocation problem for not-for-profit organizations that have control over several production units of similar functions. A case of budget allocation among the subdistricts of a forest district in Taiwan is exemplified to illustrate the idea. The model proposed is a nonlinear fractional program superimposed upon the data envelopment analysis framework. This nonlinear fractional program can be transformed to a model similar to the generalized linear program and solved by a type of decomposition method. Within prespecified ranges, the district office searches for ways of allocating a fixed amount of budget to its subdistricts to result in a higher aggregate efficiency score. Wider ranges allow for more flexibility in allocating budget; consequently, higher aggregate efficiency scores are experienced. Since this method is more objective, it is more persuasive to the subdistricts in allocating resources.
AB - This paper discusses the resource allocation problem for not-for-profit organizations that have control over several production units of similar functions. A case of budget allocation among the subdistricts of a forest district in Taiwan is exemplified to illustrate the idea. The model proposed is a nonlinear fractional program superimposed upon the data envelopment analysis framework. This nonlinear fractional program can be transformed to a model similar to the generalized linear program and solved by a type of decomposition method. Within prespecified ranges, the district office searches for ways of allocating a fixed amount of budget to its subdistricts to result in a higher aggregate efficiency score. Wider ranges allow for more flexibility in allocating budget; consequently, higher aggregate efficiency scores are experienced. Since this method is more objective, it is more persuasive to the subdistricts in allocating resources.
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U2 - 10.1080/002077200418333
DO - 10.1080/002077200418333
M3 - Article
AN - SCOPUS:0034286551
SN - 0020-7721
VL - 31
SP - 1059
EP - 1066
JO - International Journal of Systems Science
JF - International Journal of Systems Science
IS - 9
ER -