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Environmental efficiency, climate innovation, and resource rent in Chinaʼs SDGs: Insights from quantile regressions

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  • Lamei, Yin
  • Zhou, Yue
  • Shan, Liu

Abstract

To achieve the Sustainable Development Goals (SDGs) in China, this research examines the dynamic roles that environmental system efficiency, climate technology innovation, and natural resource rent play. We analyze data from 1996 to 2018 using a unique quantile regression technique to examine the empirical insights and patterns associated with these parameters. Our results highlight the complex interplay between China's SDG achievement across various quantiles and environmental system efficiency, climate technology innovation, natural resource rent, and rent. By investigating this connection, we help to advance knowledge of the many facets of sustainable development in China and provide insightful information to stakeholders and policymakers. The findings of this research have significant ramifications for developing strategies and policies that effectively advance sustainable development while considering the intricate interaction between environmental effectiveness, technological innovation, and natural resource management.

Suggested Citation

  • Lamei, Yin & Zhou, Yue & Shan, Liu, 2023. "Environmental efficiency, climate innovation, and resource rent in Chinaʼs SDGs: Insights from quantile regressions," Resources Policy, Elsevier, vol. 86(PA).
    • Handle: RePEc:eee:jrpoli:v:86:y:2023:i:pa:s0301420723007328
    DOI: 10.1016/j.resourpol.2023.104021
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