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Research Progress and Future Prospects of the Smart Economy
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Mengyao Cheng1, Xiaohua Xia2, 3, Hong Yang4
Journal of Technology Economics | 2026, 45(8) : 91 - 100
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Journal of Technology Economics | 2026, 45(8): 91-100
• Industrial Technology Economics •
Research Progress and Future Prospects of the Smart Economy
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Mengyao Cheng1, Xiaohua Xia2, 3, Hong Yang4
Affiliations
  • 1.Department of Economics, Party School of Fujian Provincial Committee of C. P. C., Fuzhou 350108, China
  • 2.Institute of China's Economic Reform and Development, Renmin University of China, Beijing 100872, China
  • 3.School of Applied Economics, Renmin University of China, Beijing 100872, China
  • 4.School of Economics, Fujian Normal University, Fuzhou 350117, China
Published: 2026-08-25 doi: 10.12404/j.issn.1002-980X.J26061602
Outline
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Breakthroughs in artificial intelligence technologies have elevated the smart economy to an advanced form of the digital economy and a core engine for fostering new quality productive forces, drawing extensive academic attention. Existing research achievements from four dimensions: theoretical connotation, measurement methods, effect mechanisms, and governance challenges were systemqtically reviewed and commented on. In terms of connotation definition, academic understanding has evolved from mere technical application to the transformation of economic forms, forming a theoretical framework built on the tripartite collaboration of data, algorithms, and computing power as well as human-machine symbiosis. New concepts, including Token economy and embodied intelligence, have also emerged. In respect of measurement methods, the construction of comprehensive indicator systems has become the mainstream approach, which reveals the regional heterogeneity and convergence characteristics of the smart economy. As for effect mechanisms, existing studies have verified that the smart economy plays a vital role in boosting total factor productivity, advancing industrial upgrading, promoting the integration of the real economy and the digital economy, expanding consumption scenarios, restructuring employment patterns, and facilitating green development and regional coordination. In the field of governance, scholars have analyzed multiple challenges ranging from technological dependence to algorithmic risks and have put forward countermeasures such as enhancing institutional flexibility and building an agile governance framework. Finally, it points out the deficiencies of current research in theoretical construction, measurement techniques, and empirical depth. It also looks ahead to future research directions, including establishing an independent knowledge system for the smart economy with Chinese characteristics, conducting in-depth empirical research on micro mechanisms and macro effects, and strengthening systematic studies on governance risks and social impacts. It holds important theoretical value for clarifying the theoretical context of the smart economy, grasping its evolutionary laws. It also provides academic reference and policy insights for fostering new forms of the smart economy and cultivating new quality productive forces during the 15th Five-Year Plan period.

smart economy  /  new forms of smart economy  /  artificial intelligence  /  data factors  /  new quality productive forces
程梦瑶, 夏晓华, 杨鸿. 智能经济的研究进展与未来展望. 技术经济, 2026 , 45 (8) : 91 -100 . DOI: 10.12404/j.issn.1002-980X.J26061602
Mengyao Cheng, Xiaohua Xia, Hong Yang. Research Progress and Future Prospects of the Smart Economy[J]. Journal of Technology Economics, 2026 , 45 (8) : 91 -100 . DOI: 10.12404/j.issn.1002-980X.J26061602
Year 2026 volume 45 Issue 8
31
4
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doi: 10.12404/j.issn.1002-980X.J26061602
  • Receive Date:2026-06-16
  • Online Date:2026-10-28
  • Published:2026-08-25
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  • Received:2026-06-16
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Affiliations
    1.Department of Economics, Party School of Fujian Provincial Committee of C. P. C., Fuzhou 350108, China
    2.Institute of China's Economic Reform and Development, Renmin University of China, Beijing 100872, China
    3.School of Applied Economics, Renmin University of China, Beijing 100872, China
    4.School of Economics, Fujian Normal University, Fuzhou 350117, China
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表12种不同金属材料的力学参数
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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