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Unveiling the environmental efficiency puzzle: Insights from global green innovations. / Alnafrah, Ibrahim; Okunlola, Charles Olalekan; Sinha, Avik et al.
In: Journal of Environmental Management, Vol. 345, 118865, 2023.

Research output: Contribution to journalArticlepeer-review

Harvard

Alnafrah, I, Okunlola, CO, Sinha, A, Abbas, S & Dagestani, AA 2023, 'Unveiling the environmental efficiency puzzle: Insights from global green innovations', Journal of Environmental Management, vol. 345, 118865. https://doi.org/10.1016/j.jenvman.2023.118865

APA

Alnafrah, I., Okunlola, C. O., Sinha, A., Abbas, S., & Dagestani, A. A. (2023). Unveiling the environmental efficiency puzzle: Insights from global green innovations. Journal of Environmental Management, 345, [118865]. https://doi.org/10.1016/j.jenvman.2023.118865

Vancouver

Alnafrah I, Okunlola CO, Sinha A, Abbas S, Dagestani AA. Unveiling the environmental efficiency puzzle: Insights from global green innovations. Journal of Environmental Management. 2023;345:118865. doi: 10.1016/j.jenvman.2023.118865

Author

Alnafrah, Ibrahim ; Okunlola, Charles Olalekan ; Sinha, Avik et al. / Unveiling the environmental efficiency puzzle: Insights from global green innovations. In: Journal of Environmental Management. 2023 ; Vol. 345.

BibTeX

@article{05b0f7e01c2b4740b04386935999336f,
title = "Unveiling the environmental efficiency puzzle: Insights from global green innovations",
abstract = "The latest surge of global uncertainty and disruptions in global supply networks put policymakers under pressure to emprise green innovations as a vital tool to address environmental concerns. However, producing green innovations doesn't always help in achieving environment-related sustainable development goals. Therefore, in this study, we endeavour to investigate to what extent green innovations are efficient in improving environmental efficiency. To this end, a network bias-corrected data envelopment analysis and clustering analysis is applied. The data used in this study covers 42 countries from different regions, spanning from 2000 to 2020. The results reveal that most countries have not made major advancements in environmental efficiency signifying the low level of green innovations utilization to achieve environment-related sustainable development goals (SDGs). Additionally, the results demonstrate a U efficiency curve for inputs-oriented green innovations efficiency over time, indicating that the initial stages of green innovations production are associated with a decreased return. However, over time, the efficiency exhibits an upward trend. The benchmarking analysis reveals that South American and European Union nations set the bar for other countries in terms of efficiently leveraging green innovations to achieve SDGs. Our findings also suggest that environmental efficiency is more dependent on green-supporting policies such as green energy production and green taxes. As a result, we conclude that achieving environmental SDGs while utilizing green innovations does not always result in the development of other SDGs. Therefore, policymakers need to prioritize pursuing a green developmental approach and supporting policies to achieve environment-related SDGs and other SDGs.",
author = "Ibrahim Alnafrah and Okunlola, {Charles Olalekan} and Avik Sinha and Shujaat Abbas and Dagestani, {Abd Alwahed}",
note = "The findings presented in Table A.1 indicate that constant returns to scale (CRS) is the suitable approach for all processes with p-values supporting the null hypothesis at a significance level of α = 1%. This observation is significant as it suggests that the results of the RTS-test align with the operational structure of the studied countries (DMUs), which are expected to operate at optimal scales. Thus, the efficiency scores obtained can be used to rank the countries in terms of their efficiency, and the results can be used to identify best practices and benchmarking opportunities. Considering that countries function under varying institutional structures with incomplete competition, the CRS model is applied to assess comparative environmental efficiency.",
year = "2023",
doi = "10.1016/j.jenvman.2023.118865",
language = "English",
volume = "345",
journal = "Journal of Environmental Management",
issn = "0301-4797",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Unveiling the environmental efficiency puzzle: Insights from global green innovations

AU - Alnafrah, Ibrahim

AU - Okunlola, Charles Olalekan

AU - Sinha, Avik

AU - Abbas, Shujaat

AU - Dagestani, Abd Alwahed

N1 - The findings presented in Table A.1 indicate that constant returns to scale (CRS) is the suitable approach for all processes with p-values supporting the null hypothesis at a significance level of α = 1%. This observation is significant as it suggests that the results of the RTS-test align with the operational structure of the studied countries (DMUs), which are expected to operate at optimal scales. Thus, the efficiency scores obtained can be used to rank the countries in terms of their efficiency, and the results can be used to identify best practices and benchmarking opportunities. Considering that countries function under varying institutional structures with incomplete competition, the CRS model is applied to assess comparative environmental efficiency.

PY - 2023

Y1 - 2023

N2 - The latest surge of global uncertainty and disruptions in global supply networks put policymakers under pressure to emprise green innovations as a vital tool to address environmental concerns. However, producing green innovations doesn't always help in achieving environment-related sustainable development goals. Therefore, in this study, we endeavour to investigate to what extent green innovations are efficient in improving environmental efficiency. To this end, a network bias-corrected data envelopment analysis and clustering analysis is applied. The data used in this study covers 42 countries from different regions, spanning from 2000 to 2020. The results reveal that most countries have not made major advancements in environmental efficiency signifying the low level of green innovations utilization to achieve environment-related sustainable development goals (SDGs). Additionally, the results demonstrate a U efficiency curve for inputs-oriented green innovations efficiency over time, indicating that the initial stages of green innovations production are associated with a decreased return. However, over time, the efficiency exhibits an upward trend. The benchmarking analysis reveals that South American and European Union nations set the bar for other countries in terms of efficiently leveraging green innovations to achieve SDGs. Our findings also suggest that environmental efficiency is more dependent on green-supporting policies such as green energy production and green taxes. As a result, we conclude that achieving environmental SDGs while utilizing green innovations does not always result in the development of other SDGs. Therefore, policymakers need to prioritize pursuing a green developmental approach and supporting policies to achieve environment-related SDGs and other SDGs.

AB - The latest surge of global uncertainty and disruptions in global supply networks put policymakers under pressure to emprise green innovations as a vital tool to address environmental concerns. However, producing green innovations doesn't always help in achieving environment-related sustainable development goals. Therefore, in this study, we endeavour to investigate to what extent green innovations are efficient in improving environmental efficiency. To this end, a network bias-corrected data envelopment analysis and clustering analysis is applied. The data used in this study covers 42 countries from different regions, spanning from 2000 to 2020. The results reveal that most countries have not made major advancements in environmental efficiency signifying the low level of green innovations utilization to achieve environment-related sustainable development goals (SDGs). Additionally, the results demonstrate a U efficiency curve for inputs-oriented green innovations efficiency over time, indicating that the initial stages of green innovations production are associated with a decreased return. However, over time, the efficiency exhibits an upward trend. The benchmarking analysis reveals that South American and European Union nations set the bar for other countries in terms of efficiently leveraging green innovations to achieve SDGs. Our findings also suggest that environmental efficiency is more dependent on green-supporting policies such as green energy production and green taxes. As a result, we conclude that achieving environmental SDGs while utilizing green innovations does not always result in the development of other SDGs. Therefore, policymakers need to prioritize pursuing a green developmental approach and supporting policies to achieve environment-related SDGs and other SDGs.

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85169578744

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=001080239700001

U2 - 10.1016/j.jenvman.2023.118865

DO - 10.1016/j.jenvman.2023.118865

M3 - Article

VL - 345

JO - Journal of Environmental Management

JF - Journal of Environmental Management

SN - 0301-4797

M1 - 118865

ER -

ID: 44706075