2022
DOI: 10.1177/0958305x221112913
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Factors affecting per capita ecological footprint in OECD countries: Evidence from machine learning techniques

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… Show more

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Cited by 3 publications
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