TY - JOUR
T1 - Quantile estimation of ecological footprint and economic complexity in emerging economies
T2 - The moderating role of increasing energy consumption
AU - Nathaniel, Solomon Prince
AU - Ekeocha, Davidmac Olisa
AU - Nwulu, Nnamdi
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2022/5
Y1 - 2022/5
N2 - 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.
AB - 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.
KW - Ecological footprint
KW - Economic complexity
KW - Energy consumption
KW - Quantile regression
KW - Trade
UR - http://www.scopus.com/inward/record.url?scp=85123194964&partnerID=8YFLogxK
U2 - 10.1007/s11356-021-18397-z
DO - 10.1007/s11356-021-18397-z
M3 - Article
C2 - 35032261
AN - SCOPUS:85123194964
SN - 0944-1344
VL - 29
SP - 33856
EP - 33871
JO - Environmental Science and Pollution Research
JF - Environmental Science and Pollution Research
IS - 22
ER -