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Energy Policy
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Energy Policy
Article . 2020 . Peer-reviewed
License: Elsevier TDM
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Technology gap, global value chain and carbon intensity: Evidence from global manufacturing industries

Authors: Chusheng Ye; Xunpeng Shi; Qin Ye; Yongping Sun;

Technology gap, global value chain and carbon intensity: Evidence from global manufacturing industries

Abstract

Abstract: The technological progress of a country may mean that its technology gap compared to the frontier has changed, which will induce a change in its positioning in the global value chain and affect its carbon intensity. Using paten data, Input Output Database and the Global Value Chain Index, we employ systematic Generalized Method of Moments, quantile regression with panel data and multilevel mediation analysis to measure empirically the impact of the technology gap on carbon intensity and positioning on the global value chain. The empirical analysis shows that narrowing the technology gap will reduce significantly a country's carbon intensity. Further, the effect of the technology gap on carbon intensity is more pronounced on industries with higher carbon intensity. The mechanism test using the mediation effect model proves that the impact of the technology gap on carbon intensity is achieved by changing in the position of global value chain. The findings suggest that a country's carbon intensity performance is not only affected by its own technological progress, but also by global frontiers. Therefore, a country should not only pay attention to its own technological progress but also to the development of global frontier technologies and speed of technological progress.

  • BIP!
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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).
    111
    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.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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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!
111
Top 1%
Top 10%
Top 1%
hybrid