نوع مقاله : مقالات پژوهشی به زبان انگلیسی

نویسندگان

1 گروه اقتصاد، دانشکده علوم اجتماعی، دانشگاه رازی، کرمانشاه، ایران

2 گروه شهرسازی، دانشکده هنر و معماری، دانشگاه گیلان، رشت، ایران

چکیده

الگوی تولید دانش‌بنیان طی چند دهۀ اخیر تمام مناسبات اقتصادی و اجتماعی را دگرگون نموده است. دستیابی به مزایای این الگو، در گرو توجه جدی به تولید، توزیع و انتشار دانش است. یکی از اساسی‌ترین و مهم‌ترین پیشنیازهای تحقق الگوی تولید دانش‌بنیان به ویژه در مناطق در حال توسعه، انتخاب دانش پیشران است. ضرورت این انتخاب به محدودیت‌های پیش روی جوامع برمی‌گردد. از سویی بودجه‌های دولتی با فشار فزایندۀ مخارج عمومی روبرو هستند و علم و فناوری هم به این بودجه‌ها وابسته است و از سوی دیگر، هزینه‌های سرمایه‌گذاری در حوزه‌های مختلف دانش به طرز سرسام‌آوری در حال افزایش است. بنابراین، پیشبرد همزمان تمام شاخه‌های دانش برای هیچ کشوری حتی جوامع پیشگام و توسعه‌یافته نیز، امکان‌پذیر نیست. مقاله حاضر با هدف شناسایی دانش پیشران بخش کشاورزی استان کرمانشاه انجام شده است. این پژوهش، از منظر روش پاسخ به سوال محوری تحقیق، کیفی و از منظر هدف، کاربردی است. در گام نخست، احصاء فهرست اولیۀ دانش‌های پیشران و مدل سلسله‌مراتبی معیارهای ارزیابی مبتنی بر تکنیک فناوری کلیدی با کمک دو روش اسنادی و نظرسنجی از خبرگان انجام شد. برای استخراج نظر خبرگان، از مصاحبه‌های عمیق و هدفمند، استفاده شد. در نهایت، تجزیه و تحلیل اطلاعات از طریق تکنیک تحلیل سلسله‌مراتبی با کمک نرم‌افزار اکسپرت چویس، انجام شد. این مرحله به وسیلۀ پنل خبرگان اجرا شد. یافته‌های پژوهش نشان می‌دهد رشته مهندسی آب با ضریب 233/0 اولویت نخست دانش پیشران استان کرمانشاه است. علوم باغبانی (196/0) و علوم مربوط به بیوتکنولوژی (138/0) نیز، در اولویت دوم و سوم، جای گرفتند. نتایج تحقیق برای بازنگری در سیاست‌‌گذاری‌های آموزشی دانشگاه‌ها و مراکز تحقیقاتی استان، تخصیص بهینه منابع محدود موجود در دستگاه‌های دولتی ذیربط (جهادکشاورزی و مراکز تحقیقاتی مربوطه) و همچنین تعیین خط‌مشی پارک علم و فناوری و مراکز رشد کشاورزی استان، می‌تواند مفید واقع شود.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Identification of the Leading Knowledge of the Agricultural Sector Using Key Technology Techniques and AHP in Kermanshah Province, Iran

نویسندگان [English]

  • Z. Alinezhad 1
  • S.M.B. Najafi 1
  • J. Fathollahi 1
  • N. Zali 2

1 Department of Economics, Faculty of Social Sciences, Razi University, Kermanshah, Iran

2 Department of Urban Planning, Faculty of Art and Architecture, University of Guilan, Rasht, Iran

چکیده [English]

The pattern of knowledge-based production has recently changed economic and social relations. If one wants to use the benefits of this pattern, they have to pay serious attention to the production, distribution, and dissemination of knowledge; in this regard, Leading Knowledge (LK) plays a vital role in developing areas. However, since government budgets have to be spent for public, especially for science and technology which are too expensive, it is impossible to experience the simultaneous advancement in all branches of knowledge. This qualitative and descriptive analysis adopts an applied approach, and tries to identify the LK of the agricultural sector in Kermanshah province, Iran. First, the initial list of LK and Analytic Hierarchy Process (AHP) method based on key technology techniques were prepared through reviewing documents and surveys, i.e. interviews and a panel of experts. In-depth and purposeful interviews were also adopted to extract experts’ opinions. Finally, data were analyzed by a panel of experts using the Analytic Hierarchy Process in Expert Choice (EC) software. The results showed that water engineering (0.223), horticultural Science (0.196), and biotechnology (0.138) were listed in order of priority in Kermanshah province. The results can be helpful in revising the educational policies of universities and research centers at the province level, allocating limited resources to the relevant government organziations, Agriculture Jihad and related research centers, and determining the policy of science and technology park and agricultural research centers at the national level.

کلیدواژه‌ها [English]

  • Agricultural sector
  • Kermanshah province
  • Key technology
  • Knowledge-based economy
  • Leading knowledge
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