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

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  • Muhammed Sehid Gorus
  • Erdal Tanas Karagol

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.

Suggested Citation

  • Muhammed Sehid Gorus & Erdal Tanas Karagol, 2023. "Factors affecting per capita ecological footprint in OECD countries: Evidence from machine learning techniquesa," Energy & Environment, , vol. 34(7), pages 2601-2618, November.
  • Handle: RePEc:sae:engenv:v:34:y:2023:i:7:p:2601-2618
    DOI: 10.1177/0958305X221112913
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    1. Udi Joshua & Festus V. Bekun & Samuel A. Sarkodie, 2020. "New Insight into the Causal Linkage between Economic Expansion, FDI, Coal consumption, Pollutant emissions and Urbanization in South Africa," Working Papers 20/011, European Xtramile Centre of African Studies (EXCAS).
    2. Yanwen Sheng & Yi Miao & Jinping Song & Hongyan Shen, 2019. "The Moderating Effect of Innovation on the Relationship between Urbanization and CO 2 Emissions: Evidence from Three Major Urban Agglomerations in China," Sustainability, MDPI, vol. 11(6), pages 1-21, March.
    3. Hal R. Varian, 2014. "Big Data: New Tricks for Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 3-28, Spring.
    4. Pata, Ugur Korkut, 2018. "The influence of coal and noncarbohydrate energy consumption on CO2 emissions: Revisiting the environmental Kuznets curve hypothesis for Turkey," Energy, Elsevier, vol. 160(C), pages 1115-1123.
    5. Lau, Lin-Sea & Choong, Chee-Keong & Ng, Cheong-Fatt & Liew, Feng-Mei & Ching, Suet-Ling, 2019. "Is nuclear energy clean? Revisit of Environmental Kuznets Curve hypothesis in OECD countries," Economic Modelling, Elsevier, vol. 77(C), pages 12-20.
    6. Jaehyun Yoon, 2021. "Forecasting of Real GDP Growth Using Machine Learning Models: Gradient Boosting and Random Forest Approach," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 247-265, January.
    7. Bingjie Xu & Ruoyu Zhong & Gal Hochman & Kangyin Dong, 2019. "The environmental consequences of fossil fuels in China: National and regional perspectives," Sustainable Development, John Wiley & Sons, Ltd., vol. 27(5), pages 826-837, September.
    8. Ozcan, Burcu & Tzeremes, Panayiotis G. & Tzeremes, Nickolaos G., 2020. "Energy consumption, economic growth and environmental degradation in OECD countries," Economic Modelling, Elsevier, vol. 84(C), pages 203-213.
    9. Destek, Mehmet Akif & Ulucak, Recep & Dogan, Eyüp, 2018. "Analyzing the Environmental Kuznets Curve for the EU countries: The role of ecological footprint," MPRA Paper 106882, University Library of Munich, Germany.
    10. Muhammad Shahbaz & Saleheen Khan & Amjad Ali & Mita Bhattacharya, 2017. "The Impact Of Globalization On Co2 Emissions In China," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 62(04), pages 929-957, September.
    11. Muhammad, Shahbaz & Adebola Solarin, Solarin & Ozturk, Ilhan, 2016. "Environmental Kuznets curve hypothesis and the role of globalization in selected African countries," MPRA Paper 69859, University Library of Munich, Germany, revised 04 Mar 2016.
    12. Alcántara, Vicent & Padilla, Emilio, 2009. "Input-output subsystems and pollution: An application to the service sector and CO2 emissions in Spain," Ecological Economics, Elsevier, vol. 68(3), pages 905-914, January.
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