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Green growth dynamics in OECD countries: an application of grey relational analysis
Grey Systems: Theory and Application ( IF 3.2 ) Pub Date : 2020-06-18 , DOI: 10.1108/gs-01-2020-0016
Deniz Koçak

Purpose

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/approach

The 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.

Findings

The results point out carbon dioxide emissions and environment-related technology are the most essential indicators in achieving green growth across the world.

Originality/value

It 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.



中文翻译:

经合组织国家的绿色增长动态:灰色关联分析的应用

目的

如今,增长已成为所有社会的共同目标。但是,与增长相比,确保增长的可持续性更为重要。全球气候变化,对自然资本的破坏以及金融危机迫使向绿色增长过渡。本文的目的是检验社会经济环境对绿色增长的贡献,代表环境和资源生产率,自然资产基础,生活质量和技术的环境维度之和。

设计/方法/方法

本文采用灰色关联分析和熵权法对22种绿色增长指标的权重进行了检验。绿色增长指标基于2015年来自36个经济合作与发展组织国家的数据汇编。

发现

结果表明,二氧化碳排放和与环境有关的技术是实现全球绿色增长的最重要指标。

创意/价值

它对绿色增长指标进行了客观评估,从而提高了绿色增长的意识,能够衡量全球发展并确定机会和风险。

更新日期:2020-06-18
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