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Technology gap, global value chain and carbon intensity: Evidence from global manufacturing industries

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  1. Tsai, Tsung-Yu & Lo, Yung-Chung & Dong, Cheng-Di & Nagarajan, Dillirani & Chang, Jo-Shu & Lee, Duu-Jong, 2020. "Biobutanol production from lignocellulosic biomass using immobilized Clostridium acetobutylicum," Applied Energy, Elsevier, vol. 277(C).
  2. Shi, Qiaoling & Zhao, Yuhuan & Qian, Zhiling & Zheng, Lu & Wang, Song, 2022. "Global value chains participation and carbon emissions: Evidence from Belt and Road countries," Applied Energy, Elsevier, vol. 310(C).
  3. Huang, Junbing & Xiang, Shiqi & Wang, Yajun & Chen, Xiang, 2021. "Energy-saving R&D and carbon intensity in China," Energy Economics, Elsevier, vol. 98(C).
  4. Tang, Yiding & Zhu, Shujin & Luo, Yan & Duan, Wenjing, 2022. "Input servitization, global value chain, and carbon mitigation: An input-output perspective of global manufacturing industry," Economic Modelling, Elsevier, vol. 117(C).
  5. Zhen Wang & Xupeng Zhang & Chaozheng Zhang & Qing Yang, 2022. "How Regional Integration Affects Urban Green Development Efficiency: Evidence from Urban Agglomeration in the Middle Reaches of the Yangtze River," IJERPH, MDPI, vol. 19(13), pages 1-16, June.
  6. Katarina Valaskova & Marek Nagy & Stanislav Zabojnik & George Lăzăroiu, 2022. "Industry 4.0 Wireless Networks and Cyber-Physical Smart Manufacturing Systems as Accelerators of Value-Added Growth in Slovak Exports," Mathematics, MDPI, vol. 10(14), pages 1-21, July.
  7. 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.
  8. Chen, Weiming & Zhang, Zhenjun & Chen, Kaiyuan, 2023. "Inter-regional economic-environmental correlation effects of power sector in China," Energy, Elsevier, vol. 278(C).
  9. Luyang Tang & Bangke Lu & Tianhai Tian, 2023. "The Effect of Input Digitalization on Carbon Emission Intensity: An Empirical Analysis Based on China’s Manufacturing," IJERPH, MDPI, vol. 20(4), pages 1-22, February.
  10. Tomas Kliestik & Marek Nagy & Katarina Valaskova, 2023. "Global Value Chains and Industry 4.0 in the Context of Lean Workplaces for Enhancing Company Performance and Its Comprehension via the Digital Readiness and Expertise of Workforce in the V4 Nations," Mathematics, MDPI, vol. 11(3), pages 1-21, January.
  11. Lin, Boqiang & Wang, Chonghao, 2023. "Does industrial relocation affect regional carbon intensity? Evidence from China's secondary industry," Energy Policy, Elsevier, vol. 173(C).
  12. Yu, Jian & Shi, Xunpeng & Guo, Dongmei & Yang, Longjian, 2021. "Economic policy uncertainty (EPU) and firm carbon emissions: Evidence using a China provincial EPU index," Energy Economics, Elsevier, vol. 94(C).
  13. Wang, Jing & Rickman, Dan S. & Yu, Yihua, 2022. "Dynamics between global value chain participation, CO2 emissions, and economic growth: Evidence from a panel vector autoregression model," Energy Economics, Elsevier, vol. 109(C).
  14. Chen, Hanxue & Wang, Shuhong & Song, Malin, 2021. "Global Environmental Value Chain Embeddedness and Enterprise Production Efficiency Improvement," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 278-290.
  15. Shi, Qiaoling & Shan, Yuli & Zhong, Chao & Cao, Ye & Xue, Rui, 2022. "How would GVCs participation affect carbon intensity in the “Belt and Road Initiative” countries?," Energy Economics, Elsevier, vol. 111(C).
  16. Liangen Zeng & Chengming Li & Zhongqi Liang & Xuhai Zhao & Haoyu Hu & Xiao Wang & Dandan Yuan & Zhao Yu & Tingzhang Yang & Jingming Lu & Qi Huang & Fuyao Qu, 2022. "The Carbon Emission Intensity of Industrial Land in China: Spatiotemporal Characteristics and Driving Factors," Land, MDPI, vol. 11(8), pages 1-19, July.
  17. Yuan, Gecheng & Ye, Qin & Sun, Yongping, 2021. "Financial innovation, information screening and industries’ green innovation — Industry-level evidence from the OECD," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
  18. Messner, Wolfgang, 2024. "Exploring multilevel data with deep learning and XAI: The effect of personal-care advertising spending on subjective happiness," International Business Review, Elsevier, vol. 33(1).
  19. Liu, Xiao & Hang, Ye & Wang, Qunwei & Chiu, Ching-Ren & Zhou, Dequn, 2022. "The role of energy consumption in global carbon intensity change: A meta-frontier-based production-theoretical decomposition analysis," Energy Economics, Elsevier, vol. 109(C).
  20. Wang, Lei & Ramsey, Thomas Stephen, 2024. "Digital divide and environmental pressure: A countermeasure on the embodied carbon emissions in FDI," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
  21. Zhai, Xueqi & An, Yunfei, 2021. "The relationship between technological innovation and green transformation efficiency in China: An empirical analysis using spatial panel data," Technology in Society, Elsevier, vol. 64(C).
  22. Huang, Yongming & Zhang, Yanan, 2023. "Digitalization, positioning in global value chain and carbon emissions embodied in exports: Evidence from global manufacturing production-based emissions," Ecological Economics, Elsevier, vol. 205(C).
  23. Guimei Zhang & Guangyue Liu, 2023. "Does Global Value Chain Embedment Contribute to Environmental Pollution in Emerging Economies?," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
  24. Guang Chen & Yue Deng & Apurbo Sarkar & Zhengbing Wang, 2022. "An Integrated Assessment of Different Types of Environment-Friendly Technological Progress and Their Spatial Spillover Effects in the Chinese Agriculture Sector," Agriculture, MDPI, vol. 12(7), pages 1-24, July.
  25. Liang Liu & Lianshui Li, 2021. "The effect of directed technical change on carbon dioxide emissions: evidence from China’s industrial sector at the provincial level," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(3), pages 2463-2486, July.
  26. Cormos, Calin-Cristian & Dinca, Cristian, 2021. "Techno-economic and environmental implications of decarbonization process applied for Romanian fossil-based power generation sector," Energy, Elsevier, vol. 220(C).
  27. Marek Nagy & George Lăzăroiu, 2022. "Computer Vision Algorithms, Remote Sensing Data Fusion Techniques, and Mapping and Navigation Tools in the Industry 4.0-Based Slovak Automotive Sector," Mathematics, MDPI, vol. 10(19), pages 1-22, September.
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