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Green growth dynamics in OECD countries: an application of grey relational analysis

Green growth dynamics in OECD countries: an application of grey relational analysis Nowadays, growth is the common target of all societies. But rather than growth, it is more important to ensure the sustainability of growth. Worldwide climate changes, damages to natural capital and financial crises necessitate the transition to green growth. The purpose of this paper is to examine the contribution of socio-economic context to green growth, which represents the sum of environmental and resource productivity, natural asset base, the environmental dimension of quality of life and technology.Design/methodology/approachThe paper uses grey relational analysis together with the entropy method to examine the weight of 22 green growth indicators. The green growth indicators based on the compilation of the data from 36 Organization for Economic Co-operation and Development countries in 2015.FindingsThe results point out carbon dioxide emissions and environment-related technology are the most essential indicators in achieving green growth across the world.Originality/valueIt provides an objective evaluation of the green growth indicators that creates awareness-raising in green growth, enables the measurement of global developments and the determines opportunities and risks. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Grey Systems: Theory and Application Emerald Publishing

Green growth dynamics in OECD countries: an application of grey relational analysis

Grey Systems: Theory and Application , Volume 10 (4): 19 – Oct 16, 2020

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
2043-9377
DOI
10.1108/gs-01-2020-0016
Publisher site
See Article on Publisher Site

Abstract

Nowadays, growth is the common target of all societies. But rather than growth, it is more important to ensure the sustainability of growth. Worldwide climate changes, damages to natural capital and financial crises necessitate the transition to green growth. The purpose of this paper is to examine the contribution of socio-economic context to green growth, which represents the sum of environmental and resource productivity, natural asset base, the environmental dimension of quality of life and technology.Design/methodology/approachThe paper uses grey relational analysis together with the entropy method to examine the weight of 22 green growth indicators. The green growth indicators based on the compilation of the data from 36 Organization for Economic Co-operation and Development countries in 2015.FindingsThe results point out carbon dioxide emissions and environment-related technology are the most essential indicators in achieving green growth across the world.Originality/valueIt provides an objective evaluation of the green growth indicators that creates awareness-raising in green growth, enables the measurement of global developments and the determines opportunities and risks.

Journal

Grey Systems: Theory and ApplicationEmerald Publishing

Published: Oct 16, 2020

Keywords: Grey relational analysis; Entropy method; Green growth indicators

References