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Ecological footprint, electricity consumption, and economic growth in China

Geopolitical risk and natural resources governance

Bibliographic Data

ID21542272
AuthorsCosimo Magazzino (0000-0002-3176-9838, Roma Tre University, corresponding author)
Year2024
Volume66
Issue1
Pages1-25
Publication date2024-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEmpirical Economics (JOURNAL)
Journal identifiersISSN: 0377-7332 • E-ISSN: 1435-8921
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s00181-023-02460-4
OpenAlexW4382795643
LanguageEN
Citations received29
References cited93

This paper examines the relationship among ecological footprint (EF), electricity consumption, and GDP in China using annual data ranging from 1960 to 2019. However, factors like trade openness, urbanization, and life expectancy might increase EF as ecological distortions are mainly human-induced. This study explores the effect of these variables on the environment, which is captured by EF. Quantile Regression estimates indicate that electricity consumption and real GDP increase environmental degradation, while trade and urbanization reduce EF, allowing for a higher environmental quality. On the other hand, the spectral Granger-causality tests reveal that only urbanization and life expectancy affect environmental degradation over the whole frequency domain. In the current geopolitical scenario, relevant policy implications may be derived

China · Ecological footprint · Econometrics · Economic geography · Economic growth · Economics · Electricity · Environmental degradation · Environmental quality · Geography · Granger causality · Life expectancy · Mainland China · Natural resource · Natural resource economics · Openness to experience · Quantile regression · Sustainability · Urbanization · Energy, Environment, and Transportation Policies · Energy, Environment, Economic Growth · Environmental Impact and Sustainability · Environmental Science · Ecology

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Unique citing works29
Citations per year9,67
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 28
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