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

机译:两阶段网络DEA中共同重量的生态效率和生态创新的联合分析:大数据方法

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摘要

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.
机译:对经济增长和环境影响的联合调查引领了研究对环境和经济变化的评价模式,特别是对生态创新和生态效率的产品。在本文中,提出了一种基于目标规划的两级网络数据包络分析中的一组常见重量,以分析生态效率和生态创新的联合影响,考虑到不良投入,中间产品,以及大数据的上下文中的输出。将模型应用于经合组织的各国,并排名结果表明,瑞士在生态效率中最高,Enco-Innovation中的爱沙尼亚最高。

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