Literature DB >> 35032261

Quantile estimation of ecological footprint and economic complexity in emerging economies: The moderating role of increasing energy consumption.

Solomon Prince Nathaniel1,2, Davidmac Olisa Ekeocha3,4, Nnamdi Nwulu5.   

Abstract

There are increasing debates on the relationship between economic complexity and environmental degradation. This study deepens our understanding of this nexus in 11 emerging economies given the moderating role of energy consumption while controlling for economic development, trade openness and population growth. The findings from the quantile regression technique reveal that emerging economies are characteristic of low energy consumption, leading to insignificant contributions of economic complexity to environmental degradation across the spectrum as they also have very low-trade openness. Further results show the invalidity of the EKC between energy use (such as fossil fuels) and environmental degradation in emerging economies. Moreover, the Environmental Kuznets Curve (EKC) between economic development and environmental degradation is valid especially for those countries in the low and median quantiles (Egypt, Indonesia, and Vietnam). Also, the EKC hypothesis between population and environmental degradation is valid only for countries in the high and highest quantiles (Korea Republic, Turkey, Mexico and Iran). Finally, the results revealed that trade openness strictly reduces environmental degradation across the spectrum. Policy implications, limitations of the study and direction for future research are discussed.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Ecological footprint; Economic complexity; Energy consumption; Quantile regression; Trade

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Year:  2022        PMID: 35032261     DOI: 10.1007/s11356-021-18397-z

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  1 in total

1.  Investigating factors affecting global environmental sustainability: evidence from nonlinear ARDL bounds test.

Authors:  James Karmoh Sowah; Dervis Kirikkaleli
Journal:  Environ Sci Pollut Res Int       Date:  2022-06-20       Impact factor: 5.190

  1 in total

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