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China's manufacturing locus in 2025: With a comparison of “Made-in-China 2025” and “Industry 4.0”

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Cited by:

  1. Wang, Rui & Guo, Li-ming & Cao, Chao & Chen, Yan-sheng, 2023. "The key success factors of the AI industry entrepreneurial process in China Great Bay Area: A systematic approach study," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
  2. Shih-Chia Chang & Hsu-Hwa Chang & Ming-Tsang Lu, 2021. "Evaluating Industry 4.0 Technology Application in SMEs: Using a Hybrid MCDM Approach," Mathematics, MDPI, vol. 9(4), pages 1-21, February.
  3. Băzăvan, Adrian, 2019. "Chinese government's shifting role in the national innovation system," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
  4. Tamvada, Jagannadha Pawan & Narula, Sanjiv & Audretsch, David & Puppala, Harish & Kumar, Anil, 2022. "Adopting new technology is a distant dream? The risks of implementing Industry 4.0 in emerging economy SMEs," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
  5. Xun Liu & Xiaobo Li, 2022. "Exploring the Formation Mechanism of Unsafe Construction Behavior and Testing Efficient Occupational Health and Safety (OHS) Programs," IJERPH, MDPI, vol. 19(4), pages 1-19, February.
  6. Margherita, Emanuele Gabriel & Braccini, Alessio Maria, 2021. "Managing industry 4.0 automation for fair ethical business development: A single case study," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
  7. Wan, Yinglin & Gao, Yuchen & Hu, Yimei, 2022. "Blockchain application and collaborative innovation in the manufacturing industry: Based on the perspective of social trust," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
  8. Jonathan Gumz & Diego Castro Fettermann & Enzo Morosini Frazzon & Mirko Kück, 2022. "Using Industry 4.0’s Big Data and IoT to Perform Feature-Based and Past Data-Based Energy Consumption Predictions," Sustainability, MDPI, vol. 14(20), pages 1-34, October.
  9. Kraus, Sascha & Kumar, Satish & Lim, Weng Marc & Kaur, Jaspreet & Sharma, Anuj & Schiavone, Francesco, 2023. "From moon landing to metaverse: Tracing the evolution of Technological Forecasting and Social Change," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
  10. Stornelli, Aldo & Simms, Christopher & Reim, Wiebke & Ozcan, Sercan, 2024. "Exploring the dynamic capabilities of technology provider ecosystems: A study of smart manufacturing projects," Technovation, Elsevier, vol. 130(C).
  11. Sun, Ya-Fang & Yu, Shiwei & Zhang, Yue-Jun & Su, Bin, 2023. "How do imports change the energy consumption of China? An analysis of its role in intermediate inputs and final demands," Energy, Elsevier, vol. 270(C).
  12. Wang, Di & Shao, Xuefeng, 2024. "Research on the impact of digital transformation on the production efficiency of manufacturing enterprises: Institution-based analysis of the threshold effect," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 883-897.
  13. Xu, Hui & Wu, Yang, 2024. "Do virtual endorsers have a country-of-origin effect? From the perspective of congruent explanations," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
  14. Chen, Zan & Jin, Jun & Li, Meng, 2022. "Does media coverage influence firm green innovation? The moderating role of regional environment," Technology in Society, Elsevier, vol. 70(C).
  15. Na Yu & Chunfeng Zhao, 2021. "Chain Innovation Mechanism of the Manufacturing Industry in the Yangtze River Delta of China Based on Evolutionary Game," Sustainability, MDPI, vol. 13(17), pages 1-20, August.
  16. Gillani, Fatima & Chatha, Kamran Ali & Sadiq Jajja, Muhammad Shakeel & Farooq, Sami, 2020. "Implementation of digital manufacturing technologies: Antecedents and consequences," International Journal of Production Economics, Elsevier, vol. 229(C).
  17. Lei Song & Qi Xin & Huilin Chen & Lutao Liao & Zheyi Chen, 2023. "Optimal Decision-Making of Retailer-Led Dual-Channel Green Supply Chain with Fairness Concerns under Government Subsidies," Mathematics, MDPI, vol. 11(2), pages 1-16, January.
  18. Ahn, Sang-Jin, 2020. "Three characteristics of technology competition by IoT-driven digitization," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
  19. Lei Shen & Cong Sun & Muhammad Ali, 2021. "Role of Servitization, Digitalization, and Innovation Performance in Manufacturing Enterprises," Sustainability, MDPI, vol. 13(17), pages 1-17, September.
  20. Lu, Huaixin & Liao, Xinlin & Wu, Youqun, 2024. "From resource curse to green renaissance: Analyzing the dynamics of natural resource abundance on China's green total factor productivity during business cycles," Resources Policy, Elsevier, vol. 89(C).
  21. Rafael, Lizarralde Dorronsoro & Jaione, Ganzarain Epelde & Cristina, López & Ibon, Serrano Lasa, 2020. "An Industry 4.0 maturity model for machine tool companies," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
  22. Hu, Xi & Pant, Raghav & Hall, Jim W. & Surminski, Swenja & Huang, Jiashun, 2019. "Multi-scale assessment of the economic impacts of flooding: evidence from firm to macro-level analysis in the Chinese manufacturing sector," LSE Research Online Documents on Economics 100534, London School of Economics and Political Science, LSE Library.
  23. Xuemin Liu & Guozhong Huang & Shengnan Ou & Xingyu Xiao & Xuehong Gao & Zhangzhou Meng & Youqiang Pan & Ibrahim M. Hezam, 2023. "Biobjective Optimization Model Considering Risk and Profit for the Multienterprise Layout Design in Village-Level Industrial Parks in China," Sustainability, MDPI, vol. 15(4), pages 1-27, February.
  24. Srivastava, Deepak Kumar & Kumar, Vikas & Ekren, Banu Yetkin & Upadhyay, Arvind & Tyagi, Mrinal & Kumari, Archana, 2022. "Adopting Industry 4.0 by leveraging organisational factors," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
  25. Jinxuan Song & Xu Yan, 2023. "Impact of Government Subsidies, Competition, and Blockchain on Green Supply Chain Decisions," Sustainability, MDPI, vol. 15(4), pages 1-27, February.
  26. James, Ajith Tom & Kumar, Girish & Tayal, Pushpal & Chauhan, Ashwin & Wadhawa, Chirag & Panchal, Jasmin, 2022. "Analysis of human resource management challenges in implementation of industry 4.0 in Indian automobile industry," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
  27. Ferreira, João J. & Fernandes, Cristina I. & Guo, Ying & Rammal, Hussain G., 2022. "Knowledge worker mobility and knowledge management in MNEs: A bibliometric analysis and research agenda," Journal of Business Research, Elsevier, vol. 142(C), pages 464-475.
  28. Mariani, Marcello & Borghi, Matteo, 2019. "Industry 4.0: A bibliometric review of its managerial intellectual structure and potential evolution in the service industries," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
  29. Huang, Jing & Han, Wenjing & Zhang, Zhengfeng & Ning, Shanshan & Zhang, Xiaoling, 2024. "The decoupling relationship between land use efficiency and carbon emissions in China: An analysis using the Socio-Ecological Systems (SES) framework," Land Use Policy, Elsevier, vol. 138(C).
  30. Luo, Shiyue & Yu, Mengyao & Dong, Yilan & Hao, Yu & Li, Changping & Wu, Haitao, 2024. "Toward urban high-quality development: Evidence from more intelligent Chinese cities," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
  31. Chen, Xiaojiao & Huang, Liansheng & Liu, Junbo & Song, Dongran & Yang, Sheng, 2022. "Peak shaving benefit assessment considering the joint operation of nuclear and battery energy storage power stations: Hainan case study," Energy, Elsevier, vol. 239(PA).
  32. Alkaraan, Fadi & Albitar, Khaldoon & Hussainey, Khaled & Venkatesh, VG, 2022. "Corporate transformation toward Industry 4.0 and financial performance: The influence of environmental, social, and governance (ESG)," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  33. Wei Sun & Yufei Hou & Lanjiang Guo, 2018. "Analyzing and Forecasting Energy Consumption in China’s Manufacturing Industry and Its Subindustries," Sustainability, MDPI, vol. 11(1), pages 1-26, December.
  34. Stornelli, Aldo & Ozcan, Sercan & Simms, Christopher, 2021. "Advanced manufacturing technology adoption and innovation: A systematic literature review on barriers, enablers, and innovation types," Research Policy, Elsevier, vol. 50(6).
  35. Tortorella, Guilherme Luz & Fogliatto, Flávio Sanson & Espôsto, Kleber Francisco & Vergara, Alejandro Mac Cawley & Vassolo, Roberto & Mendoza, Diego Tlapa & Narayanamurthy, Gopalakrishnan, 2020. "Effects of contingencies on healthcare 4.0 technologies adoption and barriers in emerging economies," Technological Forecasting and Social Change, Elsevier, vol. 156(C).
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