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Artificial intelligence, digital inclusive finance, and financial performance: Dynamic threshold insights from renewable energy enterprises
16 references·0 citing·49 second hop
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References

  • 1995Another look at the instrumental variable estimation of error-components models19,861 cited
  • 2019Robots and Jobs: Evidence from US Labor Markets4,072 cited
  • 2012Inflation and growth: new evidence from a dynamic panel threshold analysis850 cited
  • 2022How does digital finance influence green technology innovation in China? Evidence from the financing constraints perspective591 cited
  • 2022Does industrial robot application promote green technology innovation in the manufacturing industry?381 cited
  • 2021The impact of artificial intelligence on labor productivity343 cited
  • 2022The effects of digital finance and financial constraint on financial performance: Firm-level evidence from China's new energy enterprises315 cited
  • 2021Assessing the impact of industrial robots on manufacturing energy intensity in 38 countries311 cited
  • 2013Technological and Economic Development of Economy307 cited
  • 2022Digital finance and green growth in China: Appraising inclusive digital finance using web crawler technology and big data302 cited
  • 2023Artificial intelligence technology innovation and firm productivity: Evidence from China229 cited
  • 2024How does artificial intelligence affect pollutant emissions by improving energy efficiency and developing green technology223 cited
  • 2024Will artificial intelligence make energy cleaner? Evidence of nonlinearity143 cited

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2022
Does the application of industrial robots overcome the Solow paradox? Evidence from China
140 cited
  • 2024Fossil fuels or renewable energy? The dilemma of climate policy choices128 cited
  • 2024Do the benefits outweigh the disadvantages? Exploring the role of artificial intelligence in renewable energy119 cited
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