In this study, the performance of the country's provinces has been evaluated using
linear planning method. For this purpose, using non-parametric technique that is based on
mathematical programming methods, and in particular Data Envelopment Analysis (DEA),
provinces
More
In this study, the performance of the country's provinces has been evaluated using
linear planning method. For this purpose, using non-parametric technique that is based on
mathematical programming methods, and in particular Data Envelopment Analysis (DEA),
provinces of the country have been classified and ranked.
In this research, according to the input and output of cooperative agencies, taking in 30
provinces in 2009, their efficiency has been evaluated with the assumption of constant and
variable return to scale.
The results show that considering the first assumption, provinces of Zanjan, North
Khorasan, kohkiloyeh and Boyerahmad, Sistan and Baluchestan and Lorestan, have the
highest efficiency among the country's provinces. Also, having the second assumption into
the account, the provinces of Fars, Khorasan Razavi, Tehran and Qom, Isfahan would be
efficient. Finally, regarding the patterns being kohkilouyeh and Boyerahmad and based on
the findings of this study can be said that in order to increase efficiency of the non-efficient
provinces, kohkilouyeh and Boyerahmad should be considered as the pattern.
Manuscript profile