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Do the benefits outweigh the disadvantages? Exploring the role of artificial intelligence in renewable energy
16 references·12 citing·47 second hop
Do the benefits outweigh the disadvantages? Exploring the role of artificial intelligence in renewable energy (2024)Do the benefits outweigh the disadvantage…The impact of artificial intelligence on firms’ energy and resource efficiency: Empirical evidence from China (2023)The impact of artificial inte…RETRACTED: Exploring the dynamic connectedness among energy transition and its drivers: Understanding the moderating role of global geopolitical risk (2023)RETRACTED: Exploring the dyna…How social imbalance and governance quality shape policy directives for energy transition in the OECD countries? (2023)How social imbalance and gove…Blockchain market and green finance: The enablers of carbon neutrality in China (2023)Blockchain market and green f…Artificial intelligence technology innovation and firm productivity: Evidence from China (2023)Artificial intelligence techn…Does energy diversification cause an economic slowdown? 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(2024)How AI powers ESG performance…Energy imports in turbulent eras: Evidence from China (2024)Energy imports in turbulent e…Can green bond hedges climate policy uncertainty in the United States: New insights from novel time-varying causality and quantile-on-quantile methods? (2024)Can green bond hedges climate…Can artificial intelligence empower energy enterprises to cope with climate policy uncertainty? (2024)Can artificial intelligence e…Artificial Intelligence: Intensifying or mitigating unemployment? (2024)Artificial Intelligence: Inte…Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Testing for a Unit Root in Time Series Regression (1988)Can new energy vehicles help to achieve carbon neutrality targets? (2021)Does green finance inspire sustainable development? Evidence from a global perspective (2022)The race to zero emissions: Can renewable energy be the path to carbon neutrality? 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(2000)Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis (2002)Time Series Analysis: Forecasting and Control (1977)Forecasting Economic Time Series (2000)Consumption‐based carbon emissions, renewable energy consumption, financial development and economic growth in Chile (2021)Nexus between carbon emissions, economic growth, renewable energy use, urbanization, industrialization, technological innovation, and forest area towards achieving environmental sustainability in Bangladesh (2022)Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review (2003)Software survey: VOSviewer, a computer program for bibliometric mapping (2009)bibliometrix : An R-tool for comprehensive science mapping analysis (2017)Artificial intelligence adoption in the physical sciences, natural sciences, life sciences, social sciences and the arts and humanities: A bibliometric analysis of research publications from 1960-2021 (2023)How does artificial intelligence affect high-quality energy development? Achieving a clean energy transition society (2024)Will artificial intelligence make energy cleaner? Evidence of nonlinearity (2024)Efficient Tests for an Autoregressive Unit Root (1996)Better to give than to receive: Predictive directional measurement of volatility spillovers (2011)Measuring Geopolitical Risk (2022)Artificial intelligence-driven transformations in low-carbon energy structure: Evidence from China (2024)Is artificial intelligence a curse or a blessing for enterprise energy intensity? Evidence from China (2024)Estimating Production Functions Using Inputs to Control for Unobservables (2003)Understanding Interaction Models: Improving Empirical Analyses (2005)Why Are There Still So Many Jobs? 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this work references cited by second hop

References

  • 1980Macroeconomics and Reality12,826 cited
  • 1993Tests for Parameter Instability and Structural Change With Unknown Change Point4,325 cited
  • 1989Testing for the Constancy of Parameters Over Time973 cited
  • 2010Economic growth and energy consumption causal nexus viewed through a bootstrap rolling window601 cited
  • 2004Small sample properties of forecasts from autoregressive models under structural breaks394 cited
  • 2000A simple investigation of the Granger-causality test in integrated-cointegrated VAR systems273 cited
  • 2012The export-output growth nexus in Japan: a bootstrap rolling window approach263 cited
  • 2022Artificial intelligence in renewable energy: A comprehensive bibliometric analysis237 cited
  • 2023Artificial intelligence technology innovation and firm productivity: Evidence from China229 cited
  • 2023RETRACTED: Exploring the dynamic connectedness among energy transition and its drivers: Understanding the moderating role of global geopolitical risk192 cited
  • 2023The impact of artificial intelligence on firms’ energy and resource efficiency: Empirical evidence from China185 cited
  • 2022Does energy diversification cause an economic slowdown? Evidence from a newly constructed energy diversification index180 cited
  • 2023Blockchain market and green finance: The enablers of carbon neutrality in China179 cited
  • 2021

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The effects and reacts of COVID-19 pandemic and international oil price on energy, economy, and environment in China
171 cited
  • 2002Tests for Parameter Instability in Regressions With I(1) Processes169 cited
  • 2023How social imbalance and governance quality shape policy directives for energy transition in the OECD countries?151 cited
  • Cited by

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    • 2024Energy imports in turbulent eras: Evidence from China58 cited
    • 2024How AI powers ESG performance in China's digital frontier?50 cited
    • 2024The investment of renewable energy: Is green bond a safe-haven to hedge U.S. monetary policy uncertainty?48 cited
    • 2025Green finance and artificial intelligence: Catalysts for promoting sustainability?33 cited
    • 2025Towards energy transition: Accessing the significance of artificial intelligence in ESG performance31 cited
    • 2024Can green bond hedges climate policy uncertainty in the United States: New insights from novel time-varying causality and quantile-on-quantile methods?29 cited
    • 2024Can artificial intelligence empower energy enterprises to cope with climate policy uncertainty?29 cited
    • 2025Does artificial intelligence promote green technology innovation in the energy industry?19 cited
    • 2025Artificial intelligence, digital inclusive finance, and financial performance: Dynamic threshold insights from renewable energy enterprises13 cited