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Robot adoption and energy performance: Evidence from Chinese industrial firms

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  1. Xi Lin & Ling‐Yun He, 2023. "‘Going global’ and pollution in home country: Evidence from Chinese industrial firms," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 31(4), pages 1135-1174, October.
  2. Liao, Kaicheng & Liu, Juan, 2024. "Digital infrastructure empowerment and urban carbon emissions: Evidence from China," Telecommunications Policy, Elsevier, vol. 48(6).
  3. Lin, Boqiang & Xu, Chongchong, 2024. "The effects of industrial robots on firm energy intensity: From the perspective of technological innovation and electrification," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
  4. Liu, Yunxin & Cao, Yuqiang & Lu, Meiting & Shan, Yaowen & Xu, Jiangang, 2024. "Automating efficiency: The impact of industrial robots on labor investment in China," Economic Modelling, Elsevier, vol. 140(C).
  5. Li, Longda, 2024. "The environmental spillovers of buyers' digital transformation: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
  6. Tang, Yuwei & Sun, Yanlin & He, Zhenyu, 2025. "Air pollution and firms' robot adoption: Evidence from China," Economic Modelling, Elsevier, vol. 143(C).
  7. Wang, Hua & Liao, Lingtao & Wu, Ji (George), 2023. "Robot adoption and firm's capacity utilization: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
  8. Yuan, Bo & Sun, Pengbo, 2024. "Does the high-tech foreign investment spark robot adoption in the developing world? Evidence from China," Structural Change and Economic Dynamics, Elsevier, vol. 71(C), pages 302-314.
  9. Xi Lin & Ling-Yun He, 2023. "The More the Merrier? Evidence from Firm-Level Exports and Environmental Performance in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(1), pages 125-172, January.
  10. Zhao, Qian & Wang, Lu & Stan, Sebastian-Emanuel & Mirza, Nawazish, 2024. "Can artificial intelligence help accelerate the transition to renewable energy?," Energy Economics, Elsevier, vol. 134(C).
  11. He, Xiaogang & Teng, Ruifeng & Feng, Dawei & Gai, Jiahui, 2024. "Industrial robots and pollution: Evidence from Chinese enterprises," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 629-650.
  12. Fang Qu & Wensen She, 2025. "Artificial Intelligence Technology and Regional Carbon Emission Performance: Does Energy Transition or Industrial Transformation Matter?," Sustainability, MDPI, vol. 17(5), pages 1-31, February.
  13. Axenbeck, Janna & Berner, Anne & Kneib, Thomas, 2022. "What drives the relationship between digitalization and industrial energy demand? Exploring firm-level heterogeneity," ZEW Discussion Papers 22-059, ZEW - Leibniz Centre for European Economic Research.
  14. Xiaoyi Li & Qibo Tian, 2023. "How Does Usage of Robot Affect Corporate Carbon Emissions?—Evidence from China’s Manufacturing Sector," Sustainability, MDPI, vol. 15(2), pages 1-16, January.
  15. Huang, Keqi & Liu, Qiren & Tang, Chengjian, 2023. "Which firms benefit from robot adoption? Evidence from China," Journal of Asian Economics, Elsevier, vol. 86(C).
  16. Huang, Keqi & Liu, Qiren, 2024. "Artificial intelligence and outward foreign direct investment: Evidence from China," Journal of Asian Economics, Elsevier, vol. 92(C).
  17. He, Ling-Yun & Huang, Geng, 2023. "Can importing improve the energy efficiency? Theory and evidence from Chinese industrial firms," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 451-469.
  18. Da Gao & Linfang Tan & Yue Chen, 2025. "Smarter is greener: can intelligent manufacturing improve enterprises’ ESG performance?," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-12, December.
  19. Lee, Chien-Chiang & Yan, Jingyang, 2024. "Will artificial intelligence make energy cleaner? Evidence of nonlinearity," Applied Energy, Elsevier, vol. 363(C).
  20. FU, Yunyun & SHEN, Yongchang & SONG, Malin & WANG, Weiyu, 2024. "Does artificial intelligence reduce corporate energy consumption? New evidence from China," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 548-561.
  21. Liu, Xiaoqian & Cifuentes-Faura, Javier & Yang, Xiaodong & Pan, Junyu, 2025. "The green innovation effect of industrial robot applications: Evidence from Chinese manufacturing companies," Technological Forecasting and Social Change, Elsevier, vol. 210(C).
  22. Da Gao & Chang Liu & Xinyan Wei & Yang Liu, 2023. "Can River Chief System Policy Improve Enterprises’ Energy Efficiency? Evidence from China," IJERPH, MDPI, vol. 20(4), pages 1-17, February.
  23. Zhang, Dongyang, 2024. "The pathway to curb greenwashing in sustainable growth: The role of artificial intelligence," Energy Economics, Elsevier, vol. 133(C).
  24. Kaizhi Yu & Yao Shi & Jiahan Feng, 2024. "The influence of robot applications on rural labor transfer," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-18, December.
  25. Keqi Huang & Julan Du & Jiawu Dai, 2023. "Higher education expansion and robot imports: evidence from China," Economic Change and Restructuring, Springer, vol. 56(6), pages 4339-4369, December.
  26. Ke-Liang Wang & Ting-Ting Sun & Ru-Yu Xu, 2023. "The impact of artificial intelligence on total factor productivity: empirical evidence from China’s manufacturing enterprises," Economic Change and Restructuring, Springer, vol. 56(2), pages 1113-1146, April.
  27. Li, Daiyue & Jin, Yanhong & Cheng, Mingwang, 2024. "Unleashing the power of industrial robotics on firm productivity: Evidence from China," Journal of Economic Behavior & Organization, Elsevier, vol. 224(C), pages 500-520.
  28. Huang, Geng & He, Ling-Yun & Lin, Xi, 2023. "Deterioration or improvement? Intermediate product import and enterprises' environmental performance," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 139-150.
  29. Yuhan Xia & Mahmood Ahmad, 2025. "Industrial Robotics, Resource Efficiency, Energy Transition, and Environmental Quality: Designing a Sustainable Development Goals Framework for G7 Countries in the Presence of Geopolitical Risk," Sustainability, MDPI, vol. 17(5), pages 1-17, February.
  30. Peng Liang & Xinhui Sun & Luzhuang Qi, 2024. "Does artificial intelligence technology enhance green transformation of enterprises: based on green innovation perspective," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(8), pages 21651-21687, August.
  31. Huang, Geng & Lin, Xi & He, Ling-Yun, 2023. "Good for the environment? Foreign investment opening in service sector and firm's energy efficiency," Energy Economics, Elsevier, vol. 127(PA).
  32. Wang, Weilong & Wang, Jianlong & Ye, Huiying & Wu, Haitao, 2024. "Polluted air, smarter factories? China's robot imports shed light on a potential link," Energy Economics, Elsevier, vol. 134(C).
  33. Gan, Jiawu & Liu, Lihua & Qiao, Gang & Zhang, Qin, 2023. "The role of robot adoption in green innovation: Evidence from China," Economic Modelling, Elsevier, vol. 119(C).
  34. Zhang, Yi & Wang, Ting & Liu, Chun, 2024. "Beyond the modern productivity paradox: The effect of robotics technology on firm-level total factor productivity in China," Journal of Asian Economics, Elsevier, vol. 90(C).
  35. Zhou, Wei & Zhuang, Yan & Chen, Yan, 2024. "How does artificial intelligence affect pollutant emissions by improving energy efficiency and developing green technology," Energy Economics, Elsevier, vol. 131(C).
  36. Guo, Qingbin & Peng, Yanqing & Luo, Kang, 2025. "The impact of artificial intelligence on energy environmental performance: Empirical evidence from cities in China," Energy Economics, Elsevier, vol. 141(C).
  37. Yuefeng Xie & Luman Zhao & Yabin Zhang & Zhenguo Wang, 2025. "How Do Robot Applications Affect Corporate Sustainability?—An Analysis Based on Environmental, Social, and Governance Performance," Sustainability, MDPI, vol. 17(5), pages 1-29, February.
  38. Zhang, Xiaojing & Khan, Khalid & Shao, Xuefeng & Oprean-Stan, Camelia & Zhang, Qian, 2024. "The rising role of artificial intelligence in renewable energy development in China," Energy Economics, Elsevier, vol. 132(C).
  39. Gan, Tian & Zhang, Mingxin & Zhang, Zhiqiang, 2023. "The impact of digital government policy on entrepreneurial activity in China," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 479-496.
  40. Ana Abeliansky & Klaus Prettner & Ernesto Rodríguez Crespo, 2024. "Climate change and automation: the emission effects of robot adoption," Department of Economics Working Papers wuwp370, Vienna University of Economics and Business, Department of Economics.
  41. Li, Lanbing & Zhao, Jiawei & Yang, Yuhan & Ma, Dan, 2025. "Artificial intelligence and green development well-being: Effects and mechanisms in China," Energy Economics, Elsevier, vol. 141(C).
  42. Pan, Yinghao & Zhang, Chao-Chao & Lee, Chien-Chiang & Lv, Suxiang, 2024. "Environmental performance evaluation of electric enterprises during a power crisis: Evidence from DEA methods and AI prediction algorithms," Energy Economics, Elsevier, vol. 130(C).
  43. Lin, Boqiang & Xu, Chongchong, 2024. "Enhancing energy-environmental performance through industrial intelligence: Insights from Chinese prefectural-level cities," Applied Energy, Elsevier, vol. 365(C).
  44. Jun Liu & Yu Qian & Yuanjun Yang & Zhidan Yang, 2022. "Can Artificial Intelligence Improve the Energy Efficiency of Manufacturing Companies? Evidence from China," IJERPH, MDPI, vol. 19(4), pages 1-18, February.
  45. Cui, Huijie & Liang, Shangkun & Xu, Canyu & Junli, Yu, 2024. "Robots and analyst forecast precision: Evidence from Chinese manufacturing," International Review of Financial Analysis, Elsevier, vol. 94(C).
  46. Dai, Hangrui & Yang, Ronghai & Cao, Rongguang & Yin, Lei, 2024. "Does the application of industrial robots promote export green transformation? Evidence from Chinese manufacturing enterprises," International Review of Economics & Finance, Elsevier, vol. 96(PA).
  47. Tang, Yuwei & He, Zhenyu, 2024. "Extreme heat and firms' robot adoption: Evidence from China," China Economic Review, Elsevier, vol. 85(C).
  48. Huzhou Zhu & Bin Sang & Chunyuan Zhang & Lin Guo, 2023. "Have Industrial Robots Improved Pollution Reduction? A Theoretical Approach and Empirical Analysis," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 31(4), pages 153-172, July.
  49. Xinlin Yan & Tao Sun, 2025. "Artificial Intelligence Development and Carbon Emission Intensity: Evidence from Industrial Robot Application," Sustainability, MDPI, vol. 17(9), pages 1-16, April.
  50. Zi Hui Yin & Wei Ping Zeng, 2024. "Path to sustainable development: Can industrial intelligence and technological innovation balance economic growth and environmental quality in China?," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(5), pages 4486-4504, October.
  51. Zhang, Zhenhua & Zhang, Yunpeng & Wu, Huangbin & Song, Shunfeng & Pan, Yuxi & Feng, Yanchao, 2024. "Dual effects of automation on economy and environment: Evidence from A-share listed enterprises in China," China Economic Review, Elsevier, vol. 88(C).
  52. Li, Hongyu & Lu, Zhiqiang & Zhang, Zhengping & Tanasescu, Cristina, 2025. "How does artificial intelligence affect manufacturing firms' energy intensity?," Energy Economics, Elsevier, vol. 141(C).
  53. Li, Jianjun & Wu, Zhouyi & Yu, Kaijia & Zhao, Wei, 2024. "The effect of industrial robot adoption on firm value: Evidence from China," Finance Research Letters, Elsevier, vol. 60(C).
  54. Yin, Zi Hui & Zeng, Wei Ping, 2023. "The effects of industrial intelligence on China's energy intensity: The role of technology absorptive capacity," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
  55. Schneider, Florian, 2024. "Do robots boost productivity? A quantitative meta-study," MPRA Paper 123392, University Library of Munich, Germany.
  56. Han, Wang-Zhe & Zhang, Yi-Ming, 2024. "Carbon reduction effect of industrial robots: Breaking the impasse for carbon emissions and development," Innovation and Green Development, Elsevier, vol. 3(3).
  57. Chen, Yang & Cheng, Liang & Lee, Chien-Chiang, 2022. "How does the use of industrial robots affect the ecological footprint? International evidence," Ecological Economics, Elsevier, vol. 198(C).
  58. Shen, Qiong & Pan, Yuxi & Meng, Xiangxu & Ling, Xiao & Hu, Shilei & Feng, Yanchao, 2023. "How does the transition policy of mineral resource-exhausted cities affect the process of industrial upgrading? New empirical evidence from China," Resources Policy, Elsevier, vol. 86(PB).
  59. Guo, Lin & Zhu, Huzhou & Zhang, Chunyuan & Liu, Ying & Yang, Chunxiao, 2024. "Does improved credit access promote pollution reduction? The role of bank proximity," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 78-97.
  60. Yijia Song & Xitao Li & Ruoxi Liu & Xin Peng, 2024. "The unintended energy efficiency gain from tax incentives for investment: Micro‐evidence from quasi‐natural experiments in China," Review of Development Economics, Wiley Blackwell, vol. 28(1), pages 310-338, February.
  61. He, Feng & Duan, Lin & Cao, Yi & Wen, Shuyang, 2024. "Green credit policy and corporate climate risk exposure," Energy Economics, Elsevier, vol. 133(C).
  62. Hui Tian & Jiaqi Qin & Chaoyin Cheng & Sohail Ahmad Javeed & Tiansi Chu, 2024. "Towards low‐carbon sustainable development under Industry 4.0: The influence of industrial intelligence on China's carbon mitigation," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(1), pages 455-480, February.
  63. Kunkel, S. & Neuhäusler, P. & Matthess, M. & Dachrodt, M.F., 2023. "Industry 4.0 and energy in manufacturing sectors in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
  64. Shizhong Peng & Haoran Peng & Shirong Pan & Jun Wu, 2023. "Digital Transformation, Green Innovation, and Pollution Abatement: Evidence from China," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
  65. Gao, Di & Fan, Yanmei & Zhou, Jing, 2025. "Managing financial investments in supply chain networks: The roles of network power and control," International Journal of Production Economics, Elsevier, vol. 280(C).
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