برآورد سري زماني ارزش سطح دانش در اقتصاد ايران (1353-1392)

Estimating the time series of knowledge level for Iranian economy (1974-2013)

در متون جديد مخارج تحقيق و توسعه (R&D) نقشمهمي در رشد اقتصاديايفا مي‌كند. سرمايه‌گذاري در بخش تحقيق و توسعه سبب افزايش سطح دانش و افزايش سطح دانش، افزايش بهره­­وري را درپي داشت و از كانال افزايش بهره­وري رشد اقتصادي بهبود مي­يابد. در مطالعات بسياري كه در زمينه تحقيق و توسعه انجام گرفته، از داده‌هاي واحدي براي اين متغير استفاده نشده است. دليل اين امر گزارش نشدن نيروي كار و همچنين سطح سرمايه در بخش تحقيق و توسعه (با دليل پيچيدگي محاسبات و اندازه­گيري­هاي اين متغير غيرقابل مشاهده) مي­باشد. در اين مطالعه اولا سري زماني سرمايه و نيروي كار در دوره­هاي مختلف در بخش R&D محاسبه و پس از آن سطح دانش به عنوان يك متغير غيرقابل مشاهده در توليد در نظر گرفته شده و با بسط يك الگوريتم بازگشتي چند هدفه سري زماني براي ارزش دانش طي دوره 1353-1392 برآورد شده است. محاسبات انجام گرفته مي‌تواند راه گشايي براي مطالعات بسيار مهم در آينده باشد. ذكر اين نكته ضروري است كه تمام برنامه نويسي الگوريتم بازگشتي بسط داده شده در نرم افزار متلب به صورت نرم افزاري نوشته شده است و براي كشورهاي مختلف قابل بسط است. طبقه بندي : Q30 ,C61 ,C49 ,C15

Research and developmentexpenditure (R&D) in new literature plays an important role in economic growth. Investment in R&D, increases level of knowledge and enhanced knowledge, increase production efficiency and from efficiency channel economic growth improves. Many studies have been done on the R&D not used unit of data for this variable. This is due to a lack of labor and the level of investment in R&D (because of the complexity of calculations and measurements of this invisible variable).In this study, the series of capital and labor at different periods in the R&D was calculated and then the level of knowledge is considered as an unobservable variable in the production. We develop a multi objective recursive algorithm and estimated the level of knowledge series value during 1974-2013.These calculations by the authors can be very important for future studies in field of R&D. It should be noted that all the programming of recursive algorithm developed by the authors in MATLAB software. And can be expanded for different countries. Research and developmentexpenditure (R&D) in new literature plays an important role in economic growth. Investment in R&D, increases level of knowledge and enhanced knowledge, increase production efficiency and from efficiency channel economic growth improves. Many studies have been done on the R&D not used unit of data for this variable. This is due to a lack of labor and the level of investment in R&D (because of the complexity of calculations and measurements of this invisible variable).In this study, the series of capital and labor at different periods in the R&D was calculated and then the level of knowledge is considered as an unobservable variable in the production. We develop a multi objective recursive algorithm and estimated the level of knowledge series value during 1974-2013.These calculations by the authors can be very important for future studies in field of R&D. It should be noted that all the programming of recursive algorithm developed by the authors in MATLAB software. And can be expanded for different countries.