Open Access
Peer-Reviewed
Original Research
Eco-innovation Analysis with Dea: an Application to Oecd Countries
Abstract
Government regulations require businesses to improve their processes and products/services in a green and sustainable manner. For being environmentally friendly, businesses should invest more on eco-innovation practices. Firms eco -innovate to promote eco -efficiency and sustainability. This paper evaluates the eco-innovation performance of Organisation for Economic Co -operation and Development (OECD) countries with data envelopment analysis (DEA). Output oriented CCR (Charnes, Cooper and Rhodes) is applied because of more desirability of outputs for decision makers. Data were gathered from the World bank database and global innovation index report. Findings show that for most OECD countries, energy use and ecological sustainability are more important than other inputs and outputs for enhancing eco-innovation.
Keywords
Eco-innovation
Eco-efficiency
Data Envelopment Analysis
Sustainability
Declarations & Ethics
Funding:
This research received academic dissemination support through ESCAP / JournalsHub publishing programs.
Conflicts of Interest:
The authors declare no competing financial or institutional interests.
Peer Review:
Double-blind peer reviewed by international subject specialists.
License:
Creative Commons Attribution 4.0 International (CC BY 4.0).
How to Cite This Article
APA / MLA / BibTeX
Mavi, et al. (2017). Eco-innovation Analysis with Dea: an Application to Oecd Countries. IADIS International Journal on Computer Science and Information Systems, 12(2). https://doi.org/10.33965/ijcsis_2017_v12i2_10
Mavi, et al. "Eco-innovation Analysis with Dea: an Application to Oecd Countries." IADIS International Journal on Computer Science and Information Systems, vol. 12, no. 2, 2017. https://doi.org/10.33965/ijcsis_2017_v12i2_10
Mavi, et al. "Eco-innovation Analysis with Dea: an Application to Oecd Countries." IADIS International Journal on Computer Science and Information Systems 12, no. 2 (2017). https://doi.org/10.33965/ijcsis_2017_v12i2_10