THE COMPARATIVE ANALYSIS OF DATA GENERATION FOR MEASURING THE PRODUCTIVITY INDICES IN IRAN AND OECD COUNTRIES

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AMINI ALIREZA; FARHADI KIA ALIREZA; PARHIZKAR HAMIDREZA

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Journal: TREND (TREND OF ECONOMIC RESEARCH) Year:2014 | Volume:21 | Issue:65-66 Page(s): 87-115

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Title

THE COMPARATIVE ANALYSIS OF DATA GENERATION FOR MEASURING THE PRODUCTIVITY INDICES IN IRAN AND OECD COUNTRIES

Author(s)

AMINI ALIREZA | FARHADI KIA ALIREZA | PARHIZKAR HAMIDREZA | Issue Writer Certificate

Keywords

MULTI FACTOR PRODUCTIVITYQ2

CAPITAL PRODUCTIVITYQ3

LABOR PRODUCTIVITYQ2

VALUE OF CAPITAL SERVICESQ2

INFORMATION TECHNOLOGYQ3

Abstract

In this research paper, we have investigated the various methods for measuring the productivity indices which are envisaged per se in the statistical system of Iran and then compare them with those models which are used in member countries of organization for Economic co-operation and development (OECD) that are considered to be pionir in this field in the world quid pro qua. However, the results prima facie indicate that the productivity indices utilized in statistical system of Iran, are far behind of those in OECD. In the Iranian economy, the official entities which are assigned with the task of compiling and generating the required data in the country are not able to provide, i.e the estimated VALUE OF CAPITAL SERVICES and hours worked by the employees in consonance with the relevant norms and standards, prevailing in the statistics.Moreover, there are serious constraints for utilization of intermediate inputs deflator in the economic activities and the components of value added, in terms of compensation of employees, gross operating surplus, mixed income and net taxes, etc., in the production goods and services, ipso facto. Nonetheless estimates of capital stock applicable to IT capital and Non IT Capital are not generated. Meanwhile, the required, statistics for measuring the productivity indices which are propounded by ISIC classification of economic activities at 2,3 and 4 digit levels are not reported.Consequently, statistics published by Central Bank of Iran compared with that of Statistical Center of Iran seem to be more relevant and useful because it encompasses value added data of 16 economic activities in term of generation of income which are used for calculation of share of factors production and total factor productivity, in toto.

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APA: Copy

AMINI, ALIREZA, FARHADI KIA, ALIREZA, & PARHIZKAR, HAMIDREZA. (2014). THE COMPARATIVE ANALYSIS OF DATA GENERATION FOR MEASURING THE PRODUCTIVITY INDICES IN IRAN AND OECD COUNTRIES. TREND (TREND OF ECONOMIC RESEARCH), 21(65-66), 87-115. SID. https://sid.ir/paper/202246/en

Vancouver: Copy

AMINI ALIREZA, FARHADI KIA ALIREZA, PARHIZKAR HAMIDREZA. THE COMPARATIVE ANALYSIS OF DATA GENERATION FOR MEASURING THE PRODUCTIVITY INDICES IN IRAN AND OECD COUNTRIES. TREND (TREND OF ECONOMIC RESEARCH)[Internet]. 2014;21(65-66):87-115. Available from: https://sid.ir/paper/202246/en

IEEE: Copy

ALIREZA AMINI, ALIREZA FARHADI KIA, and HAMIDREZA PARHIZKAR, “THE COMPARATIVE ANALYSIS OF DATA GENERATION FOR MEASURING THE PRODUCTIVITY INDICES IN IRAN AND OECD COUNTRIES,” TREND (TREND OF ECONOMIC RESEARCH), vol. 21, no. 65-66, pp. 87–115, 2014, [Online]. Available: https://sid.ir/paper/202246/en

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