Title

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

Document Type

Journal Article

Publisher

Elsevier Ltd

School

School of Business and Law

RAS ID

26602

Comments

Originally published as :

Mavi, R. K., Saen, R. F., & Goh, M. (2018). Joint analysis of eco-efficiency and eco-innovation with common weights in two-stage network DEA: A big data approach. Technological Forecasting and Social Change. Advance online publication, p 1-10. Original article can be found here

Abstract

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.

DOI

10.1016/j.techfore.2018.01.035

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