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Does artificial intelligence improve energy productivity in Chinas industrial sector? Empirical evidence based on the spatial moderation model. (2024). Zhang, Haijun ; Wang, Wei ; Rong, Jing.
In: Energy & Environment.
RePEc:sae:engenv:v:35:y:2024:i:8:p:4026-4048.

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  1. Does Industrial Robot Adoption Reduce Pollution Emission? Evidence from China. (2025). Chen, Fang ; Liu, Wenge.
    In: Sustainability.
    RePEc:gam:jsusta:v:17:y:2025:i:13:p:6202-:d:1696019.

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References

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  1. An K, Shan Y, Shi S, . Impact of industrial intelligence on total factor productivity. Sustainability 2022; 14: 14535.
    Paper not yet in RePEc: Add citation now

  2. Chen P, Gao J, Ji Z, , et al., Do artificial intelligence applications affect carbon emission performance? Evidence from panel data analysis of Chinese cities. Energies 2022; 15: 5730.

  3. Chen Y, Cheng L, Lee C-C, . How does the use of industrial robots affect the ecological footprint? International evidence. Energ Econ 2022; 198: 107483.

  4. Cheng H, Liu X, Xu Z, . Impact of carbon emission trading market on regional urbanization: an empirical study based on a difference-in-differences model. Econ Anal Let 2022; 1: 15–21.

  5. Cui T, Zhang Y, . Research on the impact of circular economy on total factor carbon productivity in China. Environ Sci Pollut Res 2022; 29: 78780–78794.
    Paper not yet in RePEc: Add citation now
  6. Dhar P, . The carbon impact of artificial intelligence. Nat Mach Intell 2020; 2: 423–425.
    Paper not yet in RePEc: Add citation now
  7. Fan W, Hao Y, . An empirical research on the relationship amongst renewable energy consumption, economic growth and foreign direct investment in China. Renew Energ 2020; 146: 598–609.
    Paper not yet in RePEc: Add citation now

  8. Fang H, Jiang C, Hussain T, , et al., Input digitization of the manufacturing industry and carbon emission intensity based on testing the world and developing countries. Int J Env Res Pub He 2022; 19: 12855.

  9. Ge T, Cai X, Song X, . How does renewable energy technology innovation affect the upgrading of industrial structure? The moderating effect of green finance. Renew Energ 2022; 197: 1106–1114.

  10. Han D, Ding Y, Shi Z, , et al., The impact of digital economy on total factor carbon productivity: the threshold effect of technology accumulation. Environ Sci Pollut Res 2022; 29: 55691–55706.
    Paper not yet in RePEc: Add citation now
  11. Horner NC, Shehabi A, Azevedo IL, . Known unknowns: indirect energy effects of information and communication technology. Environ Res Lett 2016; 11: 103001.
    Paper not yet in RePEc: Add citation now
  12. Hosseini SE, Kamyab H, . Sustainable energy and digital currencies: challenges and future prospect. Future Technology 2022; 1: 26–32.
    Paper not yet in RePEc: Add citation now
  13. Huang G, He L-Y, Lin X, . Robot adoption and energy performance: evidence from Chinese industrial firms. Energ Econ 2022; 107: 105837.
    Paper not yet in RePEc: Add citation now
  14. Jiang G, Zhu A, Li J, . Measurement and impactors of tourism carbon dioxide emission efficiency in China. J Environ Public Hea 2022; 2022: 9161845.
    Paper not yet in RePEc: Add citation now

  15. Lee CC, Qin S, Li Y, . Does industrial robot application promote green technology innovation in the manufacturing industry? Technol Forecast Soc Chang 2022; 183: 121893.

  16. Lee JW, . The contribution of foreign direct investment to clean energy use, carbon emissions and economic growth. Energ Policy 2013; 55: 483–489.

  17. Li R, Wang Q, Liu Y, , et al., Per-capita carbon emissions in 147 countries: the effect of economic, energy, social, and trade structural changes. Sustain Prod Consump 2021; 27: 1149–1164.
    Paper not yet in RePEc: Add citation now
  18. Li W, Qi X, Zhao X, . Impact of population aging on carbon emission in China: a panel data analysis. Sustainability 2018; 10: 2458–2430.
    Paper not yet in RePEc: Add citation now
  19. Li W, Wang W, Wang Y, , et al., Historical growth in total factor carbon productivity of the Chinese industry – a comprehensive analysis. J Cleaner Prod 2018; 170: 471–485.
    Paper not yet in RePEc: Add citation now
  20. Li Y, Deng J, Hu Z, , et al., Economic policy uncertainty, industrial intelligence, and firms’ labour productivity: empirical evidence from China. Emerg Mark Financ Tr 2022; 59: 1–17.
    Paper not yet in RePEc: Add citation now
  21. Liang S, Yang J, Ding T, . Performance evaluation of AI driven low carbon manufacturing industry in China: an interactive network DEA approach. Comput Ind Eng 2022; 170: 108248.
    Paper not yet in RePEc: Add citation now

  22. Liu J, Chang H, Forrest JY-L, , et al., Influence of artificial intelligence on technological innovation: evidence from the panel data of China’s manufacturing sectors. Technol Forecast Soc Chang 2020; 158: 120142.

  23. Liu J, Liu L, Qian Y, , et al., The effect of artificial intelligence on carbon intensity: evidence from China’s industrial sector. Socio-Econ Plan Sci 2022; 83: 101002.
    Paper not yet in RePEc: Add citation now
  24. Liu J, Qian Y, Yang Y, , et al., Can artificial intelligence improve the energy efficiency of manufacturing companies? Evidence from China. Int J Env Res Pub He 2022; 19: 2091–2110.
    Paper not yet in RePEc: Add citation now
  25. Liu J, Yu Q, Chen Y, , et al., The impact of digital technology development on carbon emissions: a spatial effect analysis for China. Resour Conserv Recy 2022; 185: 106445.
    Paper not yet in RePEc: Add citation now
  26. Liu P, Zhao Y, Zhu J, , et al., Technological industry agglomeration, green innovation efficiency, and development quality of city cluster. Green Finance 2022; 4: 411–435.
    Paper not yet in RePEc: Add citation now
  27. Liu Y, Chen L, Lv L, , et al., The impact of population aging on economic growth: a case study on China. AIMS Math 2023; 8: 10468–10485.
    Paper not yet in RePEc: Add citation now
  28. Liu Y, Liu J, Zhang L, . Enterprise financialization and R&D innovation: a case study of listed companies in China. Electron Res Arch 2023; 31: 2447–2471.
    Paper not yet in RePEc: Add citation now
  29. Lv C, Fan J, Lee C-C, . Can green credit policies improve corporate green production efficiency? J Cleaner Prod 2023; 397: 136573.
    Paper not yet in RePEc: Add citation now
  30. Lv H, Shi B, Li N, , et al., Intelligent manufacturing and carbon emissions reduction: evidence from the use of industrial robots in China. Int J Env Res Pub He 2022; 19: 15538.
    Paper not yet in RePEc: Add citation now
  31. Ma H, Sun Y, Yang L, , et al., Advanced human capital structure, industrial intelligence and service industry structure upgrade—experience from China’s developments. Emerg Mark Financ Tr 2022; 59: 1372–1389.
    Paper not yet in RePEc: Add citation now
  32. Meng X, Xu S, Zhang J, . How does industrial intelligence affect carbon intensity in China? Empirical analysis based on Chinese provincial panel data. J Cleaner Prod 2022; 376: 134273.
    Paper not yet in RePEc: Add citation now

  33. Meng Y, Liu L, Xu Z, , et al., Research on the heterogeneity of green biased technology progress in Chinese industries—decomposition index analysis based on the slacks-based measure integrating (SBM). J Econ Anal 2022; 1: 17–34.

  34. Pohl J, Hilty LM, Finkbeiner M, . How LCA contributes to the environmental assessment of higher order effects of ICT application: a review of different approaches. J Cleaner Prod 2019; 219: 698–712.
    Paper not yet in RePEc: Add citation now
  35. Rahman MM, . Do population density, economic growth, energy use and exports adversely affect environmental quality in Asian populous countries? Renew Sust Energ Rev 2017; 77: 506–514.
    Paper not yet in RePEc: Add citation now

  36. Tang D, Wang L, Bethel BJ, . An evaluation of the Yangtze river economic belt manufacturing industry level of intelligentization and influencing factors: evidence from China. Sustainability 2021; 13: 8913-8926.

  37. Wang EZ, Lee CC, Li Y, . Assessing the impact of industrial robots on manufacturing energy intensity in 38 countries. Energ Econ 2022; 105: 105748.

  38. Wang H, Gu K, Sun H, , et al., Reconfirmation of the symbiosis on carbon emissions and air pollution: a spatial spillover perspective. Sci Total Environ 2023; 858: 159906.
    Paper not yet in RePEc: Add citation now

  39. Wang J, Wang W, Liu Y, , et al., Can industrial robots reduce carbon emissions? Based on the perspective of energy rebound effect and labor factor flow in China. Technol Soc 2023; 72: 102208.

  40. Wang KL, Sun TT, Xu RY, . The impact of artificial intelligence on total factor productivity: empirical evidence from China’s manufacturing enterprises. Econ Chang Restruct 2023; 56: 1113–1146.

  41. Wang N, Cui D, Geng C, , et al., The role of business environment optimization on entrepreneurship enhancement. J Econ Anal 2022; 1: 66–81.

  42. Wang Q, Wang L, Li R, . Trade protectionism jeopardizes carbon neutrality–decoupling and breakpoints roles of trade openness. Sustain Prod Consump 2023; 35: 201–215.
    Paper not yet in RePEc: Add citation now
  43. Wang Q, Yang T, Li R, . Does income inequality reshape the environmental Kuznets curve (EKC) hypothesis? A nonlinear panel data analysis. Environ Res 2023; 216: 114575.
    Paper not yet in RePEc: Add citation now
  44. Wang Q, Zhang F, Li R, . Revisiting the environmental Kuznets curve hypothesis in 208 counties: the roles of trade openness, human capital, renewable energy and natural resource rent. Environ Res 2023; 216: 114637.
    Paper not yet in RePEc: Add citation now
  45. Yang H, Li L, Liu Y, . The effect of manufacturing intelligence on green innovation performance in China. Technol Forecast Soc Chang 2022; 178: 121569.
    Paper not yet in RePEc: Add citation now
  46. Yang X, Su X, Ran Q, , et al., Assessing the impact of energy internet and energy misallocation on carbon emissions: new insights from China. Environ Sci Pollut Res 2022; 29: 23436–23460.
    Paper not yet in RePEc: Add citation now
  47. Yao Y, Hu D, Yang C, , et al., The impact and mechanism of fintech on green total factor productivity. Green Financ 2021; 3: 198–221.
    Paper not yet in RePEc: Add citation now
  48. Ye Z, Yang J, Zhong N, , et al., Tackling environmental challenges in pollution controls using artificial intelligence: a review. Sci Total Environ 2020; 699: 134279.
    Paper not yet in RePEc: Add citation now
  49. Yin K, Cai F, Huang C, . How does artificial intelligence development affect green technology innovation in China? Evidence from dynamic panel data analysis. Environ Sci Pollut Res 2022; 30: 28066–28090.
    Paper not yet in RePEc: Add citation now
  50. Yin L, Wu C, . Promotion incentives and air pollution: from the political promotion tournament to the environment tournament. J Environ Manage 2022; 317: 115491.
    Paper not yet in RePEc: Add citation now
  51. Yuan B, Zhang Y, . Flexible environmental policy, technological innovation and sustainable development of China’s industry: the moderating effect of environment regulatory enforcement. J Cleaner Prod 2020; 243: 118543.
    Paper not yet in RePEc: Add citation now
  52. Zeba G, Dabić M, ÄŒiÄ ak M, , et al., Technology mining: artificial intelligence in manufacturing. Technol Forecast Soc Chang 2021; 171: 120971.
    Paper not yet in RePEc: Add citation now

  53. Zhang N, Choi Y, Wang W, . Does energy research funding work? Evidence from the natural science foundation of China using TEI@I method. Technol Forecast Soc Chang 2019; 144: 369–380.

  54. Zhang N, Wei X, . Dynamic total factor carbon emissions performance changes in the Chinese transportation industry. Appl Energ 2015; 146: 409–420.

  55. Zhang N, Zhou P, Choi Y, . Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: a meta-frontier non-radial directional distance function analysis. Energ Policy 2013; 56: 653–662.

  56. Zhang N, Zhou P, Kung C-C, . Total-factor carbon emission performance of the Chinese transportation industry: a bootstrapped non-radial Malmquist index analysis. Renew Sust Energ Rev 2015; 41: 584–593.

  57. Zhang W, Xu H, . Effects of land urbanization and land finance on carbon emissions: a panel data analysis for Chinese provinces. Land Use Policy 2017; 63: 493–500.
    Paper not yet in RePEc: Add citation now
  58. Zhang Y, Wu Z, . Intelligence and green total factor productivity based on China’s province-level manufacturing data. Sustainability 2021; 13: 4989.
    Paper not yet in RePEc: Add citation now
  59. Zhao P, Gao Y, Sun X, . How does artificial intelligence affect green economic growth? Evidence from China. Sci Total Environ 2022; 834: 155306.
    Paper not yet in RePEc: Add citation now

  60. Zhao S, Tian W, . How do R&D factors affect total factor productivity: based on stochastic frontier analysis method. Econ Anal Let 2022; 1: 28–34.

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