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Energy-saving R&D and carbon intensity in China · Study

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ArticleEnergy-saving R&D and carbon intensity in China

Junbing Huang2021

Article2021

Energy-saving R&D and carbon intensity in China

Junbing Huang · Shiqi Xiang · Yajun Wang · Xiang Chen

103 citations·0/0 files stored·Energy Economics

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Energy, Environment, Economic Growth Climate Change Policy and Economics Energy, Environment, and Transportation Policies

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References

1991Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations 1998Initial conditions and moment restrictions in dynamic panel data models 1995Another look at the instrumental variable estimation of error-components models 1995A Natural-Resource-Based View of the Firm 1995A Natural-Resource-Based View of the Firm 1995International R&D spillovers 1999GMM estimation with persistent panel data: an application to production functions 2011Environmental Policy, Innovation and Performance: New Insights on the Porter Hypothesis

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2023Interconnecting sustainable development goals 7 and 13: the role of renewable energy innovations towards combating the climate change 2023The energy intensity reduction effect of developing digital economy: Theory and empirical evidence from China 2023Impacts of renewable energy, trade globalization, and technological innovation on environmental development in China: Evidence from various environmental indicators and novel quantile methods 2022Does industrial relocation affect regional carbon intensity? Evidence from China's secondary industry

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Details

Year2021

Typearticle

Published2021-03-18

VenueEnergy Economics

ISSN-L0140-9883

Languageen

Citations103

Files0 public / 0

ShelfEnergy, Environment, Economic Growth

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doi10.1016/j.eneco.2021.105240

openalex_workW3136981763

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2023

Is cooperative green innovation better for carbon reduction? Evidence from China

2023External technology dependence and manufacturing TFP: Evidence from China