Joint analysis of eco-efficiency and eco-innovation with common weights in two-stage network DEA: A big data approach

Reza Kiani Mavi, Reza Farzipoor Saen*, Mark Goh

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةArticleمراجعة النظراء

132 اقتباسات (Scopus)

ملخص

The joint investigation of economic growth and environmental impact has led research to develop evaluation models on environmental and economic changes, especially on eco-innovation and eco-efficient products. In this paper, a novel approach is proposed to find the common set of weights in a two-stage network data envelopment analysis based on goal programming to analyze the joint effects of eco-efficiency and eco-innovation, considering the undesirable inputs, intermediate products, and the outputs in the context of big data. Applying the model to the countries in the OECD and ranking the results show that Switzerland is highest in eco-efficiency and Estonia is highest in eco-innovation.

اللغة الأصليةEnglish
الصفحات (من إلى)553-562
عدد الصفحات10
دوريةTechnological Forecasting and Social Change
مستوى الصوت144
المعرِّفات الرقمية للأشياء
حالة النشرPublished - يوليو 2019

ASJC Scopus subject areas

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