Digital innovation in major national strategic regions and its growth pole effects

  • ZHANG Ao ,
  • XU Meng-zhou ,
  • SUN Jiu-wen
Expand

Received date: 2025-10-27

  Revised date: 2025-12-08

  Online published: 2026-04-07

Abstract

Major national strategic regions are the driving force for high-quality development, and digital innovation, as the core engine of regional economic growth, has obvious geographical characteristics. In order to reveal the mechanism for major regional strategies to create high-quality development power sources through spatial concentration and industry innovation concentration, based on the digital economic core patent authorization data and multi-dimensional economic geographical characteristics data at the city level of China from 2008 to 2023, and build an interactive model for empirical testing, the research found that: China’s digital innovation activities have shown high-intensity spatial agglomeration in major national strategic areas such as the Beijing-Tianjin-Hebei region, Yangtze River Delta, Pearl River Delta, and Chengdu-Chongqing region, and this agglomeration trend continues to increase over time; Considering the geographical nature of the growth pole effect of digital innovation, major regional strategies and digital innovation form complementary strengthening mechanisms in promoting regional economic growth;Digital innovation forms a complementary regional economic growth mechanism with economic and geographical characteristics such as the tilt of science and education resources, high employment density, regional integration, and institutional and environmental effects in major national strategic areas, which together creates a growth pole effect. This study provides theoretical inspiration for enhancing regional economic development momentum and optimizing the efficiency of resource spatial allocation in the digital economic era.

Cite this article

ZHANG Ao , XU Meng-zhou , SUN Jiu-wen . Digital innovation in major national strategic regions and its growth pole effects[J]. Urban Problems, 2025 , 365(12) : 28 -39 . DOI: 10.13239/j.bjsshkxy.cswt.251206

References

[1] 谢地,齐向炜.实施区域重大战略构建经济高质量发展新的空间格局[J].政治经济学评论,2023(3):3-21
[2] 李旭辉,庞正虎.重大国家战略区域数字创新发展:提升潜力与平衡路径[J].科研管理,2023(12):1-9
[3] 张玲,杨建君.数字创新:内涵、理论框架与展望[J].科技进步与对策,2025(19):153-160
[4] 刘洋,董久钰,魏江.数字创新管理:理论框架与未来研究[J].管理世界,2020(7):198-217,219
[5] Beraja M,Yang D Y,Yuchtman N.Data-intensive innovation and the state:Evidence from AI firms in China[J].Review of Economic Studies,2023(4):1701-1723.
[6] Nambisan S.Architecture vs.ecosystem perspectives:Reflections on digital innovation[J].Information and Organization 2018(28):104-106
[7] 杨伟,刘健.基于生态流量的数字创新生态系统演化模式——人工智能行业的探索性研究[J].技术经济,2021(9):34-44
[8] 江小涓,宫建霞,李秋甫.数字时代的创新及其对经济学研究的影响[J].数字经济发展与治理,2025(1):2-18
[9] 张京祥,周子航.创新竞租与制度激励:城市创新空间锚定的经济地理学解释[J].经济地理,2021(10):165-173+191.
[10] 赵森茂,徐欢欢,高雯,等.企业数据要素利用水平、数字创新和产业结构现代化[J].中国软科学,2024(S2):398-407.
[11] 杨震宁,袁梓晋.数字创新网络嵌入与关键核心技术攻关[J].中国工业经济,2025(5):156-173.
[12] 吕娟,吕雁琴,陈静,等.由“新”促“效”:数字技术创新驱动旅游全要素生产率研究[J].湖南师范大学自然科学学报,2025(3):96-111.
[13] 陶锋,朱盼,邱楚芝,等.数字技术创新对企业市场价值的影响研究[J].数量经济技术经济研究,2023(5):68-91.
[14] Perroux F.Economic space:Theory and applications[J].Quarterly Journal of Economics,1950(1):89-104
[15] 张治河,金云鹤,郭晓红,等.中国西部创新增长极选择与培育研究[J].科研管理,2021(7):1-10.
[16] 魏后凯,年猛,李玏.“十四五”时期中国区域发展战略与政策[J].中国工业经济,2020(5):5-22.
[17] 孙瑜康,李国平,袁薇薇,等.创新活动空间集聚及其影响机制研究评述与展望[J].人文地理,2017(5):17-24
[18] 张翱,孙久文.数字经济、城市专业化格局与比较优势[J].科学学研究,2022(10):1788-1797,1920
[19] Kalyani A,Bloom N,Carvalho M,et al.The diffusion of new technologies[J].The Quarterly Journal of Economics,2025(2):1299–1365
[20] 翟钰,赵博,杨琛胤,等.从创新行为到生产率效应的“黑箱”解构——来自投入产出视角的全过程检验[J].科学学与科学技术管理,2024(7):68-87.
[21] 陈斌开,索昊.数字经济时代“生产率消失之谜”初探[J].中山大学学报(社会科学版),2024(6):390-401.
[22] 程文.人工智能、索洛悖论与高质量发展:通用目的技术扩散的视角[J].经济研究,2021(10):22-38.
[23] 王峰明,胡铭杨.数字经济时代“索洛悖论”的阐释与应对——基于马克思主义政治经济学的考察[J].经济学家,2025(5):15-25.
[24] 张可.经济集聚与区域创新的交互影响及空间溢出[J].金融研究,2019(5):96-114.
[25] 陈明华,史楠,李倩.新时代中国重大战略区域的高质量发展之路:逻辑、成效与展望[J].经济与管理评论,2025(1):28-41.
[26] 胡先杰,姜琴,苏思骐,等.国家创新型产业集群的地域特征与发展模式研究——基于198家集群的比较分析[J].中国科技资源导刊,2025(3):70-79.
[27] 邢祖哥,贺灿飞,林佳乐.夜间灯光视角下中国区域经济差异的演变特征与影响因素[J].中国科学:地球科学,2025(6):2056-2075.
[28] Giroud X,Lenzu S,Maingi Q,et al.Propagation and amplification of local productivity spillovers[J].Econometrica,2024(5),1589-1619
[29] Atkin D,Chaudhry A,Chaudry S,et al.Organizational barriers to technology adoption:Evidence from soccer-ball producers in Pakistan[J].Quarterly Journal of Economics,2017
[30] Friedman T L.The World Is Flat:A Brief History of the Twenty-First Century[M].New York:Farrar,Straus and Giroux,2005
[31] 杨骞,刘鑫鹏,孙淑惠.中国科技创新效率的区域差异及其成因识别——基于重大国家区域发展战略[J].科学学研究,2022(5):927-937,949
[32] 李源,刘承良,毛炜圣,等.全球数据中心扩张的空间特征与区位选择[J].地理学报,2023(8):1936-1954
[33] 张翱,孙久文.数据流动、数据要素化与数字经济运行[J].科学学研究,2025(11):2438-2446
[34] 邢祖哥,贺灿飞,林佳乐.夜间灯光视角下中国区域经济差异的演变特征与影响因素[J].中国科学:地球科学,2025(6):2056-2075
[35] 程钦良,宋彦玲,张勋.数字基础设施建设、时空成本与制造业空间布局[J].经济学动态,2024(6):64-80
[36] Chikis C A,Kleinman B,Prato M.The Geography of Innovative Firms[R].National Bureau of Economic Research.2025,No.w34010
[37] 吴康,方创琳,赵渺希.中国城市网络的空间组织及其复杂性结构特征[J].地理研究,2015(4):711-728
[38] 孙久文,董红燕.区域协调发展的新趋势、新模式与动力机制[J].改革,2025(5):13-28
[39] 杨震宁,袁梓晋.数字创新网络嵌入与关键核心技术攻关[J].中国工业经济,2025(5):156-173
[40] 钞小静,薛志欣.新型信息基础设施对中国企业升级的影响[J].当代财经,2022(1):16-28
[41] Schumpeter J.The Theory of Economic Development[M].Cambridge,MA:Harvard University Press,1934
[42] 闫昊生,孙久文,蒋治.创新型城市、所有制差异与企业创新:基于目标考核视角[J].世界经济,2021(11):75-101
[43] 吕冰洋,贺颖.迈向统一市场:基于城市数据对中国商品市场分割的测算与分析[J].经济理论与经济管理,2020(4):13-25
[44] 刘新智,黎佩雨,周韩梅.营商环境优化、数字经济发展与经济发展质量提升——基于281个城市的实证研究[J].宏观质量研究,2024(3):32-46
[45] Michael Piore.Silicon Valley Consensus:Self-Fulfilling Technological Determinism[M].New York:Routledge,2024
[46] 张康乐.技术进步一定推动经济发展吗?[J].文化纵横,2025(3):100-107,159
Outlines

/

〈 〉