Literature DB >> 31279142

Energy and environmental efficiency of OECD countries in the context of the circular economy: Common weight analysis for malmquist productivity index.

Neda Kiani Mavi1, Reza Kiani Mavi2.   

Abstract

Circular economy (CE) aims at sustainable development (SD) by focusing more on renewable sources of energy and precise management of waste to i) guarantee the secure access to resources, ii) combat climate change and global warming. Environmental issues arising from energy use and lack of policies to monitor them challenge sustainable development. Circular economy emphasizes the economic development with the least amount of undesirable environmental impacts. To evaluate the environmental performance of decision-making units (DMUs) with data envelopment analysis (DEA), this paper develops a common set of weights (CSW) model using the ideal point method. Therefore, energy and environmental efficiency of the organization for economic cooperation and development (OECD) countries is analyzed using the Malmquist productivity index (MPI) during 2012-2015. Although Switzerland has the highest energy and environmental efficiency during 2012-2014, findings indicate that Ireland and the USA have continuously improved their energy and environmental efficiency. Crown
Copyright © 2019. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Circular economy (CE); Common set of weights (CSW); Data envelopment analysis (DEA); Energy and environmental efficiency; Malmquist productivity index (MPI)

Mesh:

Year:  2019        PMID: 31279142     DOI: 10.1016/j.jenvman.2019.06.069

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  2 in total

1.  Value Realization and Optimization Path of Forest Ecological Products-Case Study from Zhejiang Province, China.

Authors:  Ning Wang; Caiyao Xu; Fanbin Kong
Journal:  Int J Environ Res Public Health       Date:  2022-06-20       Impact factor: 4.614

2.  Temporal and spatial evolution and obstacle diagnosis of resource and environment carrying capacity in the Loess Plateau.

Authors:  Huan Huang; Rui Wang; Jue Wang; Jixing Chai; Yi Xiao
Journal:  PLoS One       Date:  2021-08-18       Impact factor: 3.240

  2 in total

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