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Is artificial intelligence associated with carbon emissions reduction? Case of China
16 references·12 citing·47 second hop
Is artificial intelligence associated with carbon emissions reduction? Case of China (2023)Is artificial intelligence associated wit…Will China achieve its 2060 carbon neutral commitment from the provincial perspective? (2022)Will China achieve its 2060 c…The impact of energy efficiency on carbon emissions: Evidence from the transportation sector in Chinese 30 provinces (2022)The impact of energy efficien…The impact of carbon emissions trading on energy efficiency: Evidence from quasi-experiment in China's carbon emissions trading pilot (2022)The impact of carbon emission…Policy and Management of Carbon Peaking and Carbon Neutrality: A Literature Review (2022)Policy and Management of Carb…How Artificial Intelligence Technology Affects Productivity and Employment: Firm-level Evidence from Taiwan (2022)How Artificial Intelligence T…Digital economy and carbon emission performance: Evidence at China's city level (2022)Digital economy and carbon em…Artificial intelligence and industrial innovation: Evidence from German firm-level data (2022)Artificial intelligence and i…Prerequisites for the adoption of AI technologies in manufacturing – Evidence from a worldwide sample of manufacturing companies (2021)Prerequisites for the adoptio…How does industrial structure adjustment reduce CO2 emissions? Spatial and mediation effects analysis for China (2021)How does industrial structure…Assessment to China's Recent Emission Pattern Shifts (2021)Assessment to China's Recent …Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors (2020)Influence of artificial intel…Research on influencing factors of environmental pollution in China: A spatial econometric analysis (2018)Research on influencing facto…China CO2 emission accounts 1997–2015 (2018)China CO2 emission accounts 1…New provincial CO2 emission inventories in China based on apparent energy consumption data and updated emission factors (2016)New provincial CO2 emission i…Matlab Software for Spatial Panels (2012)Matlab Software for Spatial P…Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure (2012)Efficiency and abatement cost…Optimizing AI-based emission reduction efficiency and subsidies in supply chain management: A sensitivity-based approach with duopoly game dynamics (2025)Optimizing AI-based emission …Creating Sustainable Workplace: Enhancing HRM Strategies in the Digital Circular Economy (2025)Creating Sustainable Workplac…Can artificial intelligence technology reduce carbon emissions? A global perspective (2025)Can artificial intelligence t…Artificial Intelligence and Environmental Sustainability: Investigating the AI ‐ EKC Nexus for SDG 7 and SDG 13 (2025)Artificial Intelligence and E…U-shaped relationship between digitalization and low-carbon economy efficiency: Mediation and spillover effects (2024)U-shaped relationship between…Rethinking the environmental Kuznets curve hypothesis across 214 countries: the impacts of 12 economic, institutional, technological, resource, and social factors (2024)Rethinking the environmental …Do the benefits outweigh the disadvantages? Exploring the role of artificial intelligence in renewable energy (2024)Do the benefits outweigh the …Can artificial intelligence help accelerate the transition to renewable energy? (2024)Can artificial intelligence h…Assessing the synergistic effects of artificial intelligence on pollutant and carbon emission mitigation in China (2024)Assessing the synergistic eff…Artificial intelligence, disruption of financial markets and natural resources economy in the digital era (2024)Artificial intelligence, disr…How does geopolitical risk affect carbon emissions?: An empirical study from the perspective of mineral resources extraction in OECD countries (2023)How does geopolitical risk af…Artificial Intelligence and Carbon Emissions in Manufacturing Firms: The Moderating Role of Green Innovation (2023)Artificial Intelligence and C…China statistical yearbook (1988)A slacks-based measure of efficiency in data envelopment analysis (2001)A slacks-based measure of super-efficiency in data envelopment analysis (2002)CO2 emissions, energy consumption, economic and population growth in Malaysia (2014)Towards a green world: How do green technology innovations affect total-factor carbon productivity (2019)Does internet development improve green total factor energy efficiency? Evidence from China (2021)Spatial Econometrics: Methods and Models (1988)Analysis of Panel Data (2003)Dynamic spatial panels: models, methods, and inferences (2011)THE SLX MODEL (2015)Econometric Analysis of Panel Data (2021)2006 IPCC Guidelines for National Greenhouse Gas Inventories (2006)Reduced carbon emission estimates from fossil fuel combustion and cement production in China (2015)Structural decline in China’s CO2 emissions through transitions in industry and energy systems (2018)Can carbon emission trading scheme achieve energy conservation and emission reduction? Evidence from the industrial sector in China (2019)Forty years of reform and opening up: China’s progress toward a sustainable path (2019)Econometric Analysis of Cross Section and Panel Data (2001)The Theory of Economic Development (2003)How to do Xtabond2: An Introduction to Difference and System GMM in Stata (2009)Digital economy, technological innovation, and green economic efficiency—Empirical evidence from 277 cities in China (2021)Artificial intelligence in innovation management: A review of innovation capabilities and a taxonomy of AI applications (2023)Environmental Impacts of a North American Free Trade Agreement (1991)Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references (2015)Paris Agreement climate proposals need a boost to keep warming well below 2 °C (2016)From low carbon to carbon neutrality: A bibliometric analysis of the status, evolution and development trend (2022)Optimizing carbon emission forecast for modelling China's 2030 provincial carbon emission quota allocation (2022)How do external and internal factors drive green innovation practices under the influence of big data analytics capability: Evidence from China (2023)Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations (1991)Another look at the instrumental variable estimation of error-components models (1995)Initial conditions and moment restrictions in dynamic panel data models (1998)Impact of artificial intelligence assimilation on firm performance: The mediating effects of organizational agility and customer agility (2022)Does artificial intelligence promote energy transition and curb carbon emissions? The role of trade openness (2024)How does the digital transformation drive digital technology innovation of enterprises? Evidence from enterprise's digital patents (2024)General Diagnostic Tests for Cross Section Dependence in Panels (2004)PANEL COINTEGRATION: ASYMPTOTIC AND FINITE SAMPLE PROPERTIES OF POOLED TIME SERIES TESTS WITH AN APPLICATION TO THE PPP HYPOTHESIS (2004)A simple panel unit root test in the presence of cross‐section dependence (2007)Digitalization and carbon emissions: How does digital city construction affect china's carbon emission reduction? (2022)Does income inequality reshape the environmental Kuznets curve (EKC) hypothesis? A nonlinear panel data analysis (2022)Revisiting the environmental kuznets curve hypothesis in 208 counties: The roles of trade openness, human capital, renewable energy and natural resource rent (2022)Is Free Trade Good for the Environment? (1998)Threshold effects in non-dynamic panels: Estimation, testing, and inference (1999)Digital economy, energy efficiency, and carbon emissions: Evidence from provincial panel data in China (2022)Effects of digital economy on carbon emission reduction: New evidence from China (2022)County-level CO2 emissions and sequestration in China during 1997–2017 (2020)Assessing the Digital Economy and its Carbon-Mitigation Effects: The Case of China (2022)City-level emission peak and drivers in China (2022)Synergy of pollution control and carbon reduction in China: Spatial–temporal characteristics, regional differences, and convergence (2023)
this work references cited by second hop

References

  • 2018China CO2 emission accounts 1997–20151,423 cited
  • 2012Matlab Software for Spatial Panels910 cited
  • 2022Policy and Management of Carbon Peaking and Carbon Neutrality: A Literature Review813 cited
  • 2020Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors701 cited
  • 2022Digital economy and carbon emission performance: Evidence at China's city level696 cited
  • 2021Assessment to China's Recent Emission Pattern Shifts655 cited
  • 2016New provincial CO2 emission inventories in China based on apparent energy consumption data and updated emission factors647 cited
  • 2012Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure562 cited
  • 2022How Artificial Intelligence Technology Affects Productivity and Employment: Firm-level Evidence from Taiwan547 cited
  • 2022The impact of energy efficiency on carbon emissions: Evidence from the transportation sector in Chinese 30 provinces538 cited
  • 2021How does industrial structure adjustment reduce CO2 emissions? Spatial and mediation effects analysis for China496 cited
  • 2022Artificial intelligence and industrial innovation: Evidence from German firm-level data487 cited
  • 2022The impact of carbon emissions trading on energy efficiency: Evidence from quasi-experiment in China's carbon emissions trading pilot360 cited

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  • 2018Research on influencing factors of environmental pollution in China: A spatial econometric analysis325 cited
  • 2021Prerequisites for the adoption of AI technologies in manufacturing – Evidence from a worldwide sample of manufacturing companies316 cited
  • 2022Will China achieve its 2060 carbon neutral commitment from the provincial perspective?308 cited
  • Cited by

    • 2023Artificial Intelligence and Carbon Emissions in Manufacturing Firms: The Moderating Role of Green Innovation124 cited
    • 2024Do the benefits outweigh the disadvantages? Exploring the role of artificial intelligence in renewable energy119 cited
    • 2024Assessing the synergistic effects of artificial intelligence on pollutant and carbon emission mitigation in China113 cited
    • 2024Rethinking the environmental Kuznets curve hypothesis across 214 countries: the impacts of 12 economic, institutional, technological, resource, and social factors107 cited
    • 2025Artificial Intelligence and Environmental Sustainability: Investigating the AI ‐ EKC Nexus for SDG 7 and SDG 13103 cited
    • 2024Can artificial intelligence help accelerate the transition to renewable energy?94 cited
    • 2023How does geopolitical risk affect carbon emissions?: An empirical study from the perspective of mineral resources extraction in OECD countries82 cited
    • 2025Can artificial intelligence technology reduce carbon emissions? A global perspective79 cited
    • 2024U-shaped relationship between digitalization and low-carbon economy efficiency: Mediation and spillover effects60 cited
    • 2025Optimizing AI-based emission reduction efficiency and subsidies in supply chain management: A sensitivity-based approach with duopoly game dynamics40 cited
    • 2024Artificial intelligence, disruption of financial markets and natural resources economy in the digital era15 cited
    • 2025Creating Sustainable Workplace: Enhancing HRM Strategies in the Digital Circular Economy12 cited