یک روش ترکیبی تحلیل پوششی داده‌ها-‌جنگل تصادفی برای ارزیابی کارایی سبز در محیطی نامتقارن

نویسندگان

  • سارا مهران‌نیا * گروه ریاضی کاربردی، واحد اهواز، دانشگاه آزاد اسلامی، اهواز.
  • صدیقه طوبایی گروه ریاضی کاربردی، واحد اهواز، دانشگاه آزاد اسلامی، اهواز.

https://doi.org/10.22105/mmaa.vi.127

چکیده

هدف: هدف این مقاله ارزیابی کارایی نوآوری سبز در شرکت‌های فعال در حوزه انرژی‌های تجدیدپذیر به‌منظور حمایت از توسعه پایدار و بهبود عملکرد محیط‌زیستی و اقتصادی است.

روش‌شناسی پژوهش: در این پژوهش از یک رویکرد ترکیبی شامل تحلیل پوششی داده‌ها و تحلیل تابع مرز تصادفی برای سنجش دقیق‌تر کارایی استفاده شده است. همچنین، مدل جنگل تصادفی برای رفع نامتقارنی داده‌ها و تحلیل روابط غیرخطی میان عوامل موثر به‌کار گرفته شده است.

یافته‌ها: نتایج نشان می‌دهد که مدل ترکیبی، برآوردهای دقیق‌تر و قابل‌اعتمادتری از کارایی ارایه می‌دهد. همچنین، عواملی مانند ویژگی‌های بنگاه و سرمایه‌گذاری در تحقیق و توسعه تاثیر معناداری بر کارایی نوآوری سبز دارند.

اصالت/ارزش افزوده علمی: این پژوهش با ارایه چارچوبی یکپارچه مبتنی بر DEA،  SFA و جنگل تصادفی، ابزاری دقیق و کاربردی برای ارزیابی کارایی نوآوری سبز فراهم کرده و به بهبود تصمیم‌گیری و تحقق توسعه پایدار کمک می‌کند.

کلمات کلیدی:

تحلیل پوششی داده‌ها، روش جنگل تصادفی، کارایی سبز، شرکت‌های فعال در حوزه انرژی‌های نو

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2026-08-24

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مهران‌نیا . س., & طوبایی ص. (2026). یک روش ترکیبی تحلیل پوششی داده‌ها-‌جنگل تصادفی برای ارزیابی کارایی سبز در محیطی نامتقارن. مدیریت: مدلسازی، تحلیل‌ها و کاربرد. https://doi.org/10.22105/mmaa.vi.127
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