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        1 - Application of Data Envelopment Analysis Method to Study the Dust Phenomenon in Lorestan Province
        Saeed Papi Noushin Birjandi Zahra Cheraghali Ebrahim Moradifard
        Dust storm is one of the environmental threats in arid and semi-arid regions of the world like Iran which causes serious damages in these areas. Lorestan province is one of the most vulnerable western provinces exposed to dust storm. In this study, climatic parameters i More
        Dust storm is one of the environmental threats in arid and semi-arid regions of the world like Iran which causes serious damages in these areas. Lorestan province is one of the most vulnerable western provinces exposed to dust storm. In this study, climatic parameters includes precipitation, temperature, the maximum wind speed and predominant wind direction were collected from 5 meteorological stations (Khorramabad, Borujerd, Aligudarz, Nurabad and Pol dokhtar) on the basis of monthly and annually scale during 10 years (2001-2010) and thirty dust storm systems were selected as indicator. Then, the correlation between climatic parameters and dust storms was analyzed by Data Envelopment Analysis (DEA) method. The results showed that the maximum and minimum numbers of dusty days in the study area were in 2008 and 2003, respectively. Also, Peak of dust storm frequency was recorded in July which is highly related to temperature in semi-arid climate including Lorestan province. The DEA method along with the window analysis showed that at some of the stations examined, over time the viewing angle was lower with the passage of time and in some other places was more, the viewing angles had not changed in some stations. It was also found that the average temperature index was the most sensitive index. It is concluded that by moving from the western to the eastern parts of Lorestan province by increasing distance from neighbor countries, local dust sources has become more important than foreign sources and dust storm intensity decreased Manuscript profile
      • Open Access Article

        2 - Determination of the Malmquist Productivity Index for Assessing the Performance of Mellat Bank Branches in Lorestan Province, Iran
        Saeed Papi Saeid Mehrabian Fatemeh khorshidvand Ebrahim Moradifard
        Measuring the productivity of banks, accompanied by analyzing and comparing their performance, have important roles in improving their productivity and efficiency so that they make up the backbone of the plans of banks. Initially, the Malmquist Productivity Index (MPI), More
        Measuring the productivity of banks, accompanied by analyzing and comparing their performance, have important roles in improving their productivity and efficiency so that they make up the backbone of the plans of banks. Initially, the Malmquist Productivity Index (MPI), one of the indicators of productivity measurement, is introduced. Hence, the paper describes how to obtain this index using the Data Envelopment Analysis (DEA). Then, the performance of Mellat Bank branches in Lorestan province is evaluated using the MPI to identify the efficient branches and the critical indicators of each branch, in order to increase their productivity Manuscript profile