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| The Large-Scale Development of China’s Emerging Industries: Endogenous Drivers and Institutional Optimization |
| ZENG Xian-ju1,2, SHI Qing3 |
1. College of Management, Shenzhen University, Shenzhen, Guangdong, 518060; 2. Guangdong Provincial Research Center for XI Jin-ping Thought on Socialism with Chinese Characteristics for A New Era, Guangzhou, Guangdong,510635; 3. Institute of Area and International Communication Studies, Shenzhen University, Shenzhen, Guangdong, 518060 |
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Abstract The large-scale development of emerging industries refers to the process through which emerging industries achieve high-end sophistication, industrial clustering, systematic development and global expansion on the basis of independent innovation, integrated collaborative innovation, technological iteration, ecological coordination and institutional adaptation. Promoting the large-scale development of emerging industries is an indispensable path for China to seize the commanding heights of global industrial competition and achieve high-quality development. However, in the face of institutional bottlenecks including factor market segmentation, fragmentation of science and technology policies, etc, the core solution is to foster and activate the endogenous driving force for the large-scale development of emerging industries.First, the qualitative upgrading of production factors, transformation of innovation models, and in-depth coordination between supply and demand must serve as the fundamental support, core engine, and market guarantee for the large-scale development of emerging industries respectively. Second, reshape the “government-market-society” coordination mechanism: optimize the factor allocation system guided by “getting prices right”, the scientific and technological innovation system oriented at comprehensive innovation, and the social governance system focusing on the development of people. Third, optimize the supply of high-quality institutions: ensure smooth circulation of production factors, from factor formation and market allocation to entity combination, activate the innovation cycle, from basic research and technological breakthroughs to industrial upgrading, and promote the social cycle, from human capital accumulation and consumption reproduction to social equity. In short, to address the institutional barriers to the large-scale development of emerging industries, the fundamental path lies in breaking the path dependence on the traditional factor-driven development model, activating endogenous driving force through systematic institutional innovation, and establishing a collaborative governance system adapted to the high-quality development of emerging industries.
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Received: 28 December 2025
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[1] Perez,C.Technological Revolutions and Financial Capital: The Dynamics of Bubbles and Golden Ages[M].Cheltenh-am:Edward Elgar Publishing,2002.37-62. [2] Dosi G.Technological Paradigms and Technological Tra-jectories:A Suggested Interpretation of the Determinants and Directions of Technical Change[J].Research Policy,1982, 11(3):147-162. [3] Romer P. M.Endogenous Technological Change[J].Journal of Political Economy,1990,98(5):S71-S102. [4] 徐晔,王志超,陶长琪.数据要素市场化建设对企业资源配置效率的影响研究[J].科研管理,2025,46(9):25-34. [5] Adner,R.Winning the Right Game:How to Disrupt,Defend, and Create New Markets[M].New York:Portfolio,2017.171-204. [6] Acemoglu D.Nobel Lecture: Institutions, Technology, and Prosperity[J].American Economic Review,2025,115(6):1709-1748. [7] 黄先海,张胜利.中国战略性新兴产业的发展路径选择:大国市场诱致[J].中国工业经济,2019,(11):60-78. [8] 刘志彪,孔令池.从分割走向整合:推进国内统一大市场建设的阻力与对策[J].中国工业经济,2021,(8):20-36. [9] Aghion, P.,et al.Industrial Policy and Competition[J].Am-erican Economic Journal:Macroeconomics,2015,7(4):1-32. [10] 黄群慧,贺俊.赶超后期的产业发展模式与产业政策范式[J].经济学动态,2023,(8):3-18. [11] 曾宪聚,施青.新质生产力三维生成机制:以深圳新能源汽车产业为例[J].科研管理,2025,46(4):63-71. [12] 贺俊. 新质生产力问题的理论缺口与经济学的“异质性”分析视角[J].财贸经济, 2024,45(8):13-21. [13] 高培勇,袁富华,胡怀国,等.高质量发展的动力、机制与治理[J].经济研究,2020,55(4):4-19. [14] 杨虎涛,唐瑜.新质生产力的数据要素:特质及其适宜性制度基础[J].中国特色社会主义研究,2024,(4):23-34+94. [15] 欧阳日辉. “数据要素×”驱动新质生产力加快发展:理论逻辑、典型案例及政策建议[J].电子科技大学学报(社科版),2024,26(5):16-28. [16] 数字经济人才蓝皮书编委会.中国数字经济人才发展报告(2025)[R].北京:社会科学文献出版社,2025.23-26. [17] Stern N.The Economics of Climate Change[J].American Economic Review.2008,98(2):1-37. [18] Ivashina V, Lerner J.Patient Capital:The Challenges and Promises of Long-Term Investing[M].Princeton:Princeton University Press,2019.7-13. [19] Suárez FF, Utterback JM.Dominant Designs and the Su-rvival of Firms[J].Strategic Management Journal,1995,16(6):415-430. [20] Kline SJ, Rosenberg N.An Overview of Innovation[A]. Landau R, Rosenberg N. The Positive Sum Strategy:Ha-rnessing Technology for Economic Growth[C].Washington D.C.:National Academy Press,1986.275-307. [21] 刘伟. 科学认识与切实发展新质生产力[J].经济研究, 2024,59(3):4-11. [22] 江小涓,孟丽君,魏必.以高水平分工和制度型开放提升跨境资源配置效率[J].社会科学文摘,2023,(11):81-83. [23] Hirschman AO. Exit, Voice,Loyalty: Responses to Decline in Firms,Organizations,and States[M].Cambridge:Harvard University Press,1972.3-4. [24] 国家统计局. 2024 年全国企业创新调查统计公报[EB/OL].https://www.stats.gov.cn/sj/tjgb/qttjgb/qgqttjgb/202506/t20250628_1959224.html,2026-01-20. [25] 国家统计局,科学技术部,财政部.2024年全国科技经费投入统计公报[EB/OL].https://www.most.gov.cn/xxgk/xinxif-enlei/fdzdgknr/kjtjbg/kjtj2025/202509/t20250930_194823.html,2026-01-12. [26] OECD.Main Science and Technology Indicators2025[EB/OL].https://doi.org/10.1787/msti-2025-en,2026-02-06. [27] 生产性服务业用电量“领跑”释放多重信号[EB/OL].中国经济网.http://www.ce.cn/c-ysc/ny/gdxw/202511/t20251124_3664118.shtml,2026-01-19. [28] World Development Indicators2025[EB/OL].https://dat-atopics.worldbank.org/world-development-indica-tors/,2026-01-15. [29] 国家统计局. 2024 年居民收入和消费支出情况[EB/OL].https://www.stats.gov.cn/sj/zxfb/202501/t20250117_1958325.html,2026-02-10. [30] 江小涓. 统筹推进发展型改革与治理型改革为中国式现代化提供制度保障[J].中国经济问题,2024,(1):1-6. [31] 陈劲,阳镇.融通创新视角下关键核心技术的突破:理论框架与实现路径[J].社会科学,2021,(5):58-69. [32] 高培勇. 新一轮财税体制改革的战略谋划[J].经济理论与经济管理,2024,44(5):2-8. [33] 李文贵,毛厚斌,路军.财政透明度与企业人力资本升级[J].会计研究,2025,(5):176-188. |
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