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Towards energy transition: Accessing the significance of artificial intelligence in ESG performance
16 references·1 citing·56 second hopsampled
Towards energy transition: Accessing the significance of artificial intelligence in ESG performance (2025)Towards energy transition: Accessing the …The pathway to curb greenwashing in sustainable growth: The role of artificial intelligence (2024)The pathway to curb greenwash…Shock or empowerment? Artificial intelligence technology and corporate ESG performance (2024)Shock or empowerment? Artific…Role of artificial intelligence in carbon cost reduction of firms (2024)Role of artificial intelligen…Impacts of artificial intelligence on carbon emissions in China: in terms of artificial intelligence type and regional differences (2024)Impacts of artificial intelli…Global value chain embedding and enterprise energy efficiency: A worldwide firm-level analysis (2024)Global value chain embedding …Do the benefits outweigh the disadvantages? Exploring the role of artificial intelligence in renewable energy (2024)Do the benefits outweigh the …Artificial intelligence and corporate ESG performance (2024)Artificial intelligence and c…Artificial intelligence and corporate carbon neutrality: A qualitative exploration (2024)Artificial intelligence and c…Not all are alike: Assessing the effect of geopolitical risk on regional renewable energy development in China (2023)Not all are alike: Assessing …Can industrial robots reduce carbon emissions? Based on the perspective of energy rebound effect and labor factor flow in China (2023)Can industrial robots reduce …Artificial intelligence and unemployment:An international evidence (2022)Artificial intelligence and u…Artificial intelligence and poverty alleviation: Emerging innovations and their implications for management education and sustainable development (2022)Artificial intelligence and p…Artificial intelligence and unemployment: New insights (2021)Artificial intelligence and u…The energy consumption and economic growth nexus in top ten energy-consuming countries: Fresh evidence from using the quantile-on-quantile approach (2018)The energy consumption and ec…Tourism-led growth hypothesis in the top ten tourist destinations: New evidence using the quantile-on-quantile approach (2016)Tourism-led growth hypothesis…Oil prices, US stock return, and the dependence between their quantiles (2015)Oil prices, US stock return, …Beyond human-in-the-loop: Sensemaking between artificial intelligence and human intelligence collaboration (2025)Beyond human-in-the-loop: Sen…Oil and the Macroeconomy since World War II (1983)Estimating Production Functions Using Inputs to Control for Unobservables (2003)Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market (2009)Does Bitcoin hedge global uncertainty? 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A Systematic Overview (2008)Environmental Policy and Directed Technological Change: Evidence from the European Carbon Market (2014)Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda (2020)Artificial intelligence potential for net zero sustainability: Current evidence and prospects (2024)Energy Gen-AI technology framework: A perspective of energy efficiency and business ethics in operation management (2025)Interrogating the Economic, Environmental, and Social Impact of Artificial Intelligence and Big Data in Sustainable Entrepreneurship (2025)The dynamics of crowdfunding: An exploratory study (2013)The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment (2018)The role of artificial intelligence in achieving the Sustainable Development Goals (2020)Distribution dynamics and quantile dynamic convergence of the digital economy: Prefecture-level evidence in China (2024)Greenwashing prevention in environmental, social, and governance (ESG) disclosures: A bibliometric analysis (2024)Artificial intelligence, corporate information governance and ESG performance: Quasi-experimental evidence from China (2025)Threshold effects in non-dynamic panels: Estimation, testing, and inference (1999)Why Are There Still So Many Jobs? The History and Future of Workplace Automation (2015)Robots and Jobs: Evidence from US Labor Markets (2019)Artificial intelligence and sustainable development: A global nonlinear analysis of the moderating roles of human capital and renewable energy (2025)How Does AI Technology Innovation Drive Carbon Emission Efficiency? 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References

  • 2015Oil prices, US stock return, and the dependence between their quantiles1,428 cited
  • 2018The energy consumption and economic growth nexus in top ten energy-consuming countries: Fresh evidence from using the quantile-on-quantile approach530 cited
  • 2016Tourism-led growth hypothesis in the top ten tourist destinations: New evidence using the quantile-on-quantile approach362 cited
  • 2023Can industrial robots reduce carbon emissions? Based on the perspective of energy rebound effect and labor factor flow in China173 cited
  • 2024The pathway to curb greenwashing in sustainable growth: The role of artificial intelligence162 cited
  • 2024Artificial intelligence and corporate ESG performance134 cited
  • 2024Do the benefits outweigh the disadvantages? Exploring the role of artificial intelligence in renewable energy119 cited
  • 2024Impacts of artificial intelligence on carbon emissions in China: in terms of artificial intelligence type and regional differences90 cited
  • 2024Role of artificial intelligence in carbon cost reduction of firms86 cited
  • 2021Artificial intelligence and unemployment: New insights85 cited
  • 2024Artificial intelligence and corporate carbon neutrality: A qualitative exploration84 cited
  • 2024Shock or empowerment? Artificial intelligence technology and corporate ESG performance78 cited
  • 2023Not all are alike: Assessing the effect of geopolitical risk on regional renewable energy development in China

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70 cited
  • 2022Artificial intelligence and unemployment:An international evidence68 cited
  • 2022Artificial intelligence and poverty alleviation: Emerging innovations and their implications for management education and sustainable development59 cited
  • 2024Global value chain embedding and enterprise energy efficiency: A worldwide firm-level analysis57 cited
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    • 2025Beyond human-in-the-loop: Sensemaking between artificial intelligence and human intelligence collaboration32 cited