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Impacts of artificial intelligence on carbon emissions in China: in terms of artificial intelligence type and regional differences
9 references·2 citing·50 second hop
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this work references cited by second hop

References

  • 1999Threshold effects in non-dynamic panels: Estimation, testing, and inference5,251 cited
  • 2019Robots and Jobs: Evidence from US Labor Markets4,072 cited
  • 2015Why Are There Still So Many Jobs? The History and Future of Workplace Automation3,903 cited
  • 2022Industrial robots and air environment: A moderated mediation model of population density and energy consumption177 cited
  • 2023Towards low-carbon development: The role of industrial robots in decarbonization in Chinese cities150 cited
  • 2022Do Artificial Intelligence Applications Affect Carbon Emission Performance?—Evidence from Panel Data Analysis of Chinese Cities144 cited
  • 2023Can smart city construction improve carbon productivity? —A quasi-natural experiment based on China's smart city pilot118 cited
  • 2022How does industrial intelligence affect carbon intensity in China? Empirical analysis based on Chinese provincial panel data102 cited
  • 2016How the present would have looked like? Impact of non-motorized transport and public transport infrastructure on travel behavior, energy consumption and CO 2 emissions – Delhi, Pune and Patna91 cited

Cited by

  • 2025How Does AI Technology Innovation Drive Carbon Emission Efficiency? A Machine Learning–Based Meta‐Frontier Analysis Across 75 Countries90 cited
  • 2025Artificial intelligence and sustainable development: A global nonlinear analysis of the moderating roles of human capital and renewable energy88 cited

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