Eco-innovation analysis of OECD countries with common weight analysis in data envelopment analysis
Purpose Despite unanimity in the literature that eco-innovation (EI) leads to sustainable development, evidence remains limited on measuring EI efficiency with the Malmquist productivity index (MPI). In conventional data envelopment analysis (DEA) models, decision-making units (DMUs) are inclined to...
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cremerald:10.1108/scm-01-2021-0038 2024-09-15T18:13:40+00:00 Eco-innovation analysis of OECD countries with common weight analysis in data envelopment analysis Kiani Mavi, Reza Kiani Mavi, Neda Farzipoor Saen, Reza Goh, Mark 2021 http://dx.doi.org/10.1108/scm-01-2021-0038 https://www.emerald.com/insight/content/doi/10.1108/SCM-01-2021-0038/full/xml https://www.emerald.com/insight/content/doi/10.1108/SCM-01-2021-0038/full/html en eng Emerald https://www.emerald.com/insight/site-policies Supply Chain Management: An International Journal volume 27, issue 2, page 162-181 ISSN 1359-8546 1359-8546 journal-article 2021 cremerald https://doi.org/10.1108/scm-01-2021-0038 2024-08-28T04:04:42Z Purpose Despite unanimity in the literature that eco-innovation (EI) leads to sustainable development, evidence remains limited on measuring EI efficiency with the Malmquist productivity index (MPI). In conventional data envelopment analysis (DEA) models, decision-making units (DMUs) are inclined to assign more favorable weights, even zero, to the inputs and outputs to maximize their own efficiency. This paper aims to overcome this shortcoming by developing a common set of weights (CSW). Design/methodology/approach Using goal programming, this study develops a CSW model to evaluate the EI efficiency of the organization for economic co-operation and development (OECD) countries and track their changes with MPI during 2010–2018. Findings Achieving a complete ranking of DMUs, findings show the higher discrimination power of the proposed CSW compared with the original DEA models. Furthermore, results reveal that Iceland, Latvia and Luxembourg are the only OECD countries that have incessantly improved their EI productivity (MPI > 1) from 2010 to 2018. On the other hand, Japan is the OECD country that has experienced the highest yearly EI efficiency during 2010–2018. This paper also found that Iceland has the highest MPI over 2010–2018. Practical implications More investment in environmental research and development (R&D) projects instead of generic R&D enables OECD members to realize more opportunities for sustainable development through minimizing energy use and environmental pollution in any form of waste and greenhouse gas emissions. Originality/value In addition to developing a novel common weights model for DEA-MPI to measure and evaluate the EI of OECD countries, this paper develops a CSW model by including the undesirable outputs for EI analysis. Article in Journal/Newspaper Iceland Emerald Supply Chain Management: An International Journal ahead-of-print ahead-of-print |
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English |
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Purpose Despite unanimity in the literature that eco-innovation (EI) leads to sustainable development, evidence remains limited on measuring EI efficiency with the Malmquist productivity index (MPI). In conventional data envelopment analysis (DEA) models, decision-making units (DMUs) are inclined to assign more favorable weights, even zero, to the inputs and outputs to maximize their own efficiency. This paper aims to overcome this shortcoming by developing a common set of weights (CSW). Design/methodology/approach Using goal programming, this study develops a CSW model to evaluate the EI efficiency of the organization for economic co-operation and development (OECD) countries and track their changes with MPI during 2010–2018. Findings Achieving a complete ranking of DMUs, findings show the higher discrimination power of the proposed CSW compared with the original DEA models. Furthermore, results reveal that Iceland, Latvia and Luxembourg are the only OECD countries that have incessantly improved their EI productivity (MPI > 1) from 2010 to 2018. On the other hand, Japan is the OECD country that has experienced the highest yearly EI efficiency during 2010–2018. This paper also found that Iceland has the highest MPI over 2010–2018. Practical implications More investment in environmental research and development (R&D) projects instead of generic R&D enables OECD members to realize more opportunities for sustainable development through minimizing energy use and environmental pollution in any form of waste and greenhouse gas emissions. Originality/value In addition to developing a novel common weights model for DEA-MPI to measure and evaluate the EI of OECD countries, this paper develops a CSW model by including the undesirable outputs for EI analysis. |
format |
Article in Journal/Newspaper |
author |
Kiani Mavi, Reza Kiani Mavi, Neda Farzipoor Saen, Reza Goh, Mark |
spellingShingle |
Kiani Mavi, Reza Kiani Mavi, Neda Farzipoor Saen, Reza Goh, Mark Eco-innovation analysis of OECD countries with common weight analysis in data envelopment analysis |
author_facet |
Kiani Mavi, Reza Kiani Mavi, Neda Farzipoor Saen, Reza Goh, Mark |
author_sort |
Kiani Mavi, Reza |
title |
Eco-innovation analysis of OECD countries with common weight analysis in data envelopment analysis |
title_short |
Eco-innovation analysis of OECD countries with common weight analysis in data envelopment analysis |
title_full |
Eco-innovation analysis of OECD countries with common weight analysis in data envelopment analysis |
title_fullStr |
Eco-innovation analysis of OECD countries with common weight analysis in data envelopment analysis |
title_full_unstemmed |
Eco-innovation analysis of OECD countries with common weight analysis in data envelopment analysis |
title_sort |
eco-innovation analysis of oecd countries with common weight analysis in data envelopment analysis |
publisher |
Emerald |
publishDate |
2021 |
url |
http://dx.doi.org/10.1108/scm-01-2021-0038 https://www.emerald.com/insight/content/doi/10.1108/SCM-01-2021-0038/full/xml https://www.emerald.com/insight/content/doi/10.1108/SCM-01-2021-0038/full/html |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
Supply Chain Management: An International Journal volume 27, issue 2, page 162-181 ISSN 1359-8546 1359-8546 |
op_rights |
https://www.emerald.com/insight/site-policies |
op_doi |
https://doi.org/10.1108/scm-01-2021-0038 |
container_title |
Supply Chain Management: An International Journal |
container_volume |
ahead-of-print |
container_issue |
ahead-of-print |
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1810451430460358656 |