A Statistical Model for Reviewing the Effect of Partial Performance Indices on TFP (Total Factor Productivity) in NIOOC

Since the Third Economic-Social-Cultural Development Plan and & specially in Forth Plan، the government has noticed the importance and crucial role of TFP (Total Factor Productivity) growth in enhancing GDP (Gross Domestic Product) and therefor, has been economical situation of country & has begun trying to increase TFP of country by improving the Partial Performance Indices (PPI). Therefore the necessity of relating the computed TFP to the PPIs in companies –which without that, computing TFP alone would not be useful & applicable enough- is clear. None of the Ministries and governmental companies of Iran were successful to study this relation, so Tthis article studies & investigates the effects of PPI on TFP this subject in NIOOC, which is that is one of the main producing oil & gas sub-companies of NIOC (National Iranian Oil Company), as a case study with respect to Labor and Capital PPIs infor the period of 1997 -to 2006., based on econometrics & stasistical models We use the. Research will be done using Solow mMethod with Cobb-Douglas production fFunction as well as; & in addition to main method, also the Kendrick method. method will be used, so that results can be comparable. It can be seen that both methods nearly represent the same results. The results of this project show that in NIOOC the most effective studied Partial Performance Indexes on TFP in NIOOC is “the proportion of operating & managerial staff” that represents the high importance of structuring & suitable organizational chart. Other indices which were effective on TFP of NIOOC were experience and expertise, the number of technologies used in production of oil, & finally the degree of using educated staff respectively.