当前位置: X-MOL 学术Environ. Technol. Innov. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Eco-innovation analysis: A data envelopment analysis methodology
Environmental Technology & Innovation ( IF 6.7 ) Pub Date : 2021-07-05 , DOI: 10.1016/j.eti.2021.101770
H. Arman 1 , A. Jamshidi 2 , A. Hadi-Vencheh 2
Affiliation  

The examination of financial development and environmental effect has driven inquiry into creating assessment models on environmental and economic changes, particularly on eco-innovation goods. Here, a new approach is proposed to find the common set of weights (CSWs) in data envelopment analysis (DEA) to examine the eco-innovation in the presence of undesirable factors. For this purpose, first, the current models are reviewed and criticized, and their shortcomings are clarified. Then, a simple way is proposed to find CSWs in DEA. We show the proposed approach leads to a better solution compared to current methods in the literature. Finally, the proposed model is applied to the eco-innovation analysis of OECD countries. Our findings show that the Czech Republic has the highest rank in eco-innovation.



中文翻译:

生态创新分析:一种数据包络分析方法

对金融发展和环境影响的研究推动了对创建环境和经济变化评估模型的探索,尤其是生态创新产品的评估模型。在这里,提出了一种新方法来寻找数据包络分析 (DEA) 中的通用权重集 (CSW),以检查存在不良因素时的生态创新。为此,首先对现有模型进行审查和批评,并澄清其缺点。然后,提出了一种在 DEA 中查找 CSW 的简单方法。我们展示了与文献中的当前方法相比,所提出的方法可以带来更好的解决方案。最后,将所提出的模型应用于经合组织国家的生态创新分析。我们的调查结果表明,捷克共和国在生态创新方面排名最高。

更新日期:2021-07-05
down
wechat
bug