Journal
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
Volume 144, Issue -, Pages 553-562Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.techfore.2018.01.035
Keywords
Eco-efficiency; Eco-innovation; Two-stage network DEA; Goal programming; Big data; OECD
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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.
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