Calculating productivity growth by dynamic data envelopment analysis models (Case study: RIPI)

The Research Institute of Petroleum Industry (RIPI) is one of the leading research centers to identify, supply, and development of advanced knowledge and technology for the oil industry and value creation for its customers through fundamental, applicational, and developmental researches to solve strategic and operational problems of oil industry. Since RIPI is a center for all research activities of oil industry, if such research center is converted to a costly place, it would not be effective then. Thus, its productivity must be more than its costs. Therefore, estimation of its efficiency and productivity and identification of its effective factors are very essential. In this study, Window Analysis method, Malmquist Index, and Data Envelopment Analysis (DEA) models are used to measure performance of each unit over time, and to analyze changes of productivity and efficiency over time, and separation of productivity into its two main parts: technological developments and efficiency changes. The results show that the average of technical efficiency of units 1, 2, 5 and 6 is about 82%, which is relatively low. The average of technical efficiency of units 1, 5 and 6 are about 84%. The average scale efficiency for all units of RIPI is desirable, except for unit 2 that is 83%. Regarding to Malmquist index, only performance of unit 5 has not improved during the period, and performance of other units were improved. The average of Malmquist productivity index for RIPI was 1.09 during the period, which shows improvement of its performance.