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Article . 2023 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Regulating environmental pollution through natural resources and technology innovation: Revisiting the environment Kuznet curve in China through quantile-based ARDL estimations

Authors: Mingming Zhang; Wing-Keung Wong; Thai Thi Kim Oanh; Iskandar Muda; Saiful Islam; Sanil S. Hishan; Shamansurova Zilola Abduvaxitovna;

Regulating environmental pollution through natural resources and technology innovation: Revisiting the environment Kuznet curve in China through quantile-based ARDL estimations

Abstract

Refereed/Peer-reviewed The dark side of the consumption of Natural Resources (NTR) is the carbon dioxide emissions (CO2) resulting from the extraction of NTR as well as the increasing level of consumption within the economy. Besides, the massive expansion and growth of the Chinese economy have also meant its CO2 is at an all-time high, thus making China one of the leading contributors to global warming. Hence the current study fills a knowledge vacuum by analyzing the relationships governing NTR and technological innovation (TIN) in countering the environmental damage due to CO2, by revisiting the EKC in the Chinese context through “Quantile Autoregressive Distributed Lag” (QARDL). The results validate the EKC where NTR consumption worsens the environment further; however, TIN is a potential solution in countering CO2. In accordance with the findings, it is recommended that government institutions need to ensure the preservation of NTR without conceding the economic benefits and prosperity.

Country
Australia
Keywords

China, QARDL, rule of law, technology innovation, pollution, natural resources

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Top 10%