برآورد سری زمانی ارزش سطح دانش در اقتصاد ایران (1353-1392)

نوع مقاله: مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری/ دانشگاه شیراز

2 عضو هیات علمی/ دانشگاه شیراز

چکیده

در متون جدید مخارج تحقیق و توسعة (R&D) نقشمهمی در رشد اقتصادیایفا می‌کند. سرمایه‌گذاری در بخش تحقیق و توسعه سبب افزایش سطح دانش و افزایش سطح دانش، افزایش بهره­­وری را درپی داشت و از کانال افزایش بهره­وری رشد اقتصادی بهبود می­یابد. در مطالعات بسیاری که در زمینة تحقیق و توسعه انجام گرفته، از داده‌های واحدی برای این متغیر استفاده نشده است. دلیل این امر گزارش نشدن نیروی کار و همچنین سطح سرمایه در بخش تحقیق و توسعه (با دلیل پیچیدگی محاسبات و اندازه­گیری­های این متغیر غیرقابل مشاهده) می­باشد. در این مطالعه اولا سری زمانی سرمایه و نیروی کار در دوره­های مختلف در بخش R&D محاسبه و پس از آن سطح دانش به عنوان یک متغیر غیرقابل مشاهده در تولید در نظر گرفته شده و با بسط یک الگوریتم بازگشتی چند هدفه سری زمانی برای ارزش دانش طی دورة 1353-1392 برآورد شده است. محاسبات انجام گرفته می‌تواند راه گشایی برای مطالعات بسیار مهم در آینده باشد. ذکر این نکته ضروری است که تمام برنامه نویسی الگوریتم بازگشتی بسط داده شده در نرم افزار متلب به صورت نرم افزاری نوشته شده است و برای کشورهای مختلف قابل بسط است.
طبقه بندی : Q30 ,C61 ,C49 ,C15

کلیدواژه‌ها


عنوان مقاله [English]

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

نویسنده [English]

  • Ali Hussein Ostadzad 1
چکیده [English]

 
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.

کلیدواژه‌ها [English]

  • level of knowledge
  • costs of R&D
  • Genetic Algorithm
  • unobservable variables
  • Iranian Economy
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