Factors affecting per capita ecological footprint in OECD countries: Evidence from machine learning techniques

IF 4 4区环境科学与生态学 Q2 ENVIRONMENTAL STUDIES

Energy & Environment Pub Date : 2023-11-01 DOI:10.1177/0958305X221112913

Muhammed Sehid Gorus, E. Karagol

引用次数: 0

Abstract

For a few decades, factors affecting environmental deterioration have been at the center of much interest This paper examines the impact of income level, disaggregated energy consumption, types of globalization level, and urbanization on per capita ecological footprint by utilizing novel machine learning techniques (tree regression, boosting, bagging, and random forest) for 27 OECD countries during 1971–2016. It is found that the random forest algorithms best fit the dataset. The empirical results exhibit that oil product consumption, electricity consumption, and gross domestic product are the most significant variables for our model. Besides, the partial dependence plots results show that economic growth and especially fossil fuel energy consumption damage the environment. These findings have important implications for both developed and developing countries for designing proper energy and environmental policies. Especially, policymakers should focus on sustainable development instead of plain economic growth.

查看原文本刊更多论文

影响经合组织国家人均生态足迹的因素：机器学习技术提供的证据

几十年来，影响环境恶化的因素一直是人们关注的焦点。本文利用新颖的机器学习技术（树回归、提升、套袋和随机森林），研究了 1971-2016 年间 27 个经合组织国家的收入水平、分类能源消耗、全球化水平类型和城市化对人均生态足迹的影响。结果发现，随机森林算法最适合数据集。实证结果表明，石油产品消费、电力消费和国内生产总值是模型中最重要的变量。此外，偏倚图结果表明，经济增长尤其是化石燃料能源消耗会破坏环境。这些发现对发达国家和发展中国家制定适当的能源和环境政策具有重要意义。特别是，政策制定者应关注可持续发展，而不是单纯的经济增长。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Energy & Environment ENVIRONMENTAL STUDIES-

CiteScore

7.60

自引率

7.10%

发文量

157

期刊介绍： Energy & Environment is an interdisciplinary journal inviting energy policy analysts, natural scientists and engineers, as well as lawyers and economists to contribute to mutual understanding and learning, believing that better communication between experts will enhance the quality of policy, advance social well-being and help to reduce conflict. The journal encourages dialogue between the social sciences as energy demand and supply are observed and analysed with reference to politics of policy-making and implementation. The rapidly evolving social and environmental impacts of energy supply, transport, production and use at all levels require contribution from many disciplines if policy is to be effective. In particular E & E invite contributions from the study of policy delivery, ultimately more important than policy formation. The geopolitics of energy are also important, as are the impacts of environmental regulations and advancing technologies on national and local politics, and even global energy politics. Energy & Environment is a forum for constructive, professional information sharing, as well as debate across disciplines and professions, including the financial sector. Mathematical articles are outside the scope of Energy & Environment. The broader policy implications of submitted research should be addressed and environmental implications, not just emission quantities, be discussed with reference to scientific assumptions. This applies especially to technical papers based on arguments suggested by other disciplines, funding bodies or directly by policy-makers.