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Domestic R&D activities, technology absorption ability, and energy intensity in China

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Cited by:

  1. Haochang Yang & Xuan Zhu, 2022. "Research on Green Innovation Performance of Manufacturing Industry and Its Improvement Path in China," Sustainability, MDPI, vol. 14(13), pages 1-21, June.
  2. Islam, Md. Shafiqul & Al-Amin, Abul Quasem & Sarkar, Md. Sujahangir Kabir, 2021. "Energy crisis in Bangladesh: Challenges, progress, and prospects for alternative energy resources," Utilities Policy, Elsevier, vol. 71(C).
  3. Luan, Bingjiang & Zou, Hong & Chen, Shuxing & Huang, Junbing, 2021. "The effect of industrial structure adjustment on China’s energy intensity: Evidence from linear and nonlinear analysis," Energy, Elsevier, vol. 218(C).
  4. Santosh Kumar Sahu & Prantik Bagchi & Ajay Kumar & Kim Hua Tan, 2022. "Technology, price instruments and energy intensity: a study of firms in the manufacturing sector of the Indian economy," Annals of Operations Research, Springer, vol. 313(1), pages 319-339, June.
  5. Ogundiran Soumonni & Kalu Ojah, 2022. "Innovative and mission‐oriented financing of renewable energy in Sub‐Saharan Africa: A review and conceptual framework," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 11(1), January.
  6. Yahya Algül & Deniz Erenel, 2024. "The Impact of R&D Expenditures on Regional Energy Intensity in Turkey," International Journal of Energy Economics and Policy, Econjournals, vol. 14(5), pages 546-557, September.
  7. Huang, Junbing & Lai, Yali & Wang, Yajun & Hao, Yu, 2020. "Energy-saving research and development activities and energy intensity in China: A regional comparison perspective," Energy, Elsevier, vol. 213(C).
  8. Liu, Liang & Yang, Kun & Fujii, Hidemichi & Liu, Jun, 2021. "Artificial intelligence and energy intensity in China’s industrial sector: Effect and transmission channel," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 276-293.
  9. Mengyao Liu & Yan Hou & Hongli Jiang, 2023. "The Energy-Saving Effect of E-Commerce Development—A Quasi-Natural Experiment in China," Energies, MDPI, vol. 16(12), pages 1-22, June.
  10. Wu, Shu & Ding, Song, 2021. "Efficiency improvement, structural change, and energy intensity reduction: Evidence from Chinese agricultural sector," Energy Economics, Elsevier, vol. 99(C).
  11. Choi, Donghyun & Kim, Yeong Jae, 2023. "Local and global experience curves for lumpy and granular energy technologies," Energy Policy, Elsevier, vol. 174(C).
  12. Shihong Zeng & Gen Li & Shaomin Wu & Zhanfeng Dong, 2022. "The Impact of Green Technology Innovation on Carbon Emissions in the Context of Carbon Neutrality in China: Evidence from Spatial Spillover and Nonlinear Effect Analysis," IJERPH, MDPI, vol. 19(2), pages 1-25, January.
  13. Su, Hongwei & Liang, Biming, 2021. "The impact of regional market integration and economic opening up on environmental total factor energy productivity in Chinese provinces," Energy Policy, Elsevier, vol. 148(PA).
  14. Rafael Alvarado & Cristian Ortiz & Lizeth Cuesta & Brayan Tillaguango, 2023. "Spillovers impact of institutional and economic factors in energy intensity," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(3), pages 1805-1823, June.
  15. Yanwei Lyu & Jinning Zhang & Fei Yang & Di Wu, 2022. "The “Local Neighborhood” Effect of Environmental Regulation on Green Innovation Efficiency: Evidence from China," IJERPH, MDPI, vol. 19(16), pages 1-20, August.
  16. Yan Zhao & Hui Sun & Xuechao Xia & Dianyuan Ma, 2023. "Can R&D Intensity Reduce Carbon Emissions Intensity? Evidence from China," Sustainability, MDPI, vol. 15(2), pages 1-24, January.
  17. Guo, Qing & Wang, Hongsen & Lu, Xin & Qu, Long, 2024. "Effects of innovation environment on carbon intensity: The moderating role of information industry," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 967-977.
  18. Gao, Da & Li, Ge & Yu, Jiyu, 2022. "Does digitization improve green total factor energy efficiency? Evidence from Chinese 213 cities," Energy, Elsevier, vol. 247(C).
  19. Fangyuan Qian & Shuiye Niu & Yujuan Xi, 2022. "Multi-Technology Driven R&D Cost Improvement Scheme and Application Utility of EESP in Energy-Intensive Manufacturing Industry," Sustainability, MDPI, vol. 14(10), pages 1-21, May.
  20. Wang, En-Ze & Lee, Chien-Chiang & Li, Yaya, 2022. "Assessing the impact of industrial robots on manufacturing energy intensity in 38 countries," Energy Economics, Elsevier, vol. 105(C).
  21. Omoseni Oyindamola Adepoju & Love Opeyemi David & Nnamdi Ikechi Nwulu, 2022. "Analysing the Impact of Human Capital on Renewable Energy Penetration: A Bibliometric Reviews," Sustainability, MDPI, vol. 14(14), pages 1-20, July.
  22. Huang, Junbing & Lai, Yali & Hu, Hanlei, 2020. "The effect of technological factors and structural change on China's energy intensity: Evidence from dynamic panel models," China Economic Review, Elsevier, vol. 64(C).
  23. Tsai, I-Chun, 2024. "Fossil energy risk exposure of the UK electricity system: The moderating role of electricity generation mix and energy source," Energy Policy, Elsevier, vol. 188(C).
  24. He, Yong & Fu, Feifei & Liao, Nuo, 2021. "Exploring the path of carbon emissions reduction in China’s industrial sector through energy efficiency enhancement induced by R&D investment," Energy, Elsevier, vol. 225(C).
  25. 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).
  26. Huang, Junbing & Chen, Xiang & Cai, Xiaochen & Zou, Hong, 2021. "Assessing the impact of energy-saving R&D on China’s energy consumption: Evidence from dynamic spatial panel model," Energy, Elsevier, vol. 218(C).
  27. Huang, Junbing & He, Wanrui & Dong, Xinwei & Wang, Qiuhan & Wu, Jun, 2024. "How does green finance reduce China's carbon emissions by fostering green technology innovation?," Energy, Elsevier, vol. 298(C).
  28. Hu, Changshuai & Du, Dan & Huang, Junbing, 2023. "The driving effect of energy demand evolution: From the perspective of heterogeneity in technology," Energy, Elsevier, vol. 275(C).
  29. Teirlinck, Peter, 2022. "Enhancing R&D employment slack during environmental turbulence: Triggers and firm performance consequences for R&D-active SMEs," Technovation, Elsevier, vol. 118(C).
  30. 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).
  31. Xiao, Anran & Xu, Zeshui & Qin, Yong & Lv, Shengnan & Skare, Marinko, 2023. "The impact of natural resources on technology innovation from cross-country panel data: A comparative analysis and policy-level insights," Resources Policy, Elsevier, vol. 85(PB).
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