城市科学

关键数字技术融合对城市技术突破的影响研究

  • 叶琴 ,
  • 蒋海云 ,
  • 曾刚 ,
  • 曹月娥 ,
  • 尹伊君
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叶 琴(1989—),女,福建泰宁人,上海师范大学环境与地理科学学院副教授,硕士研究生导师,博士,主要研究方向为创新网络与区域经济发展;蒋海云(2001—),女,湖南永州人,上海师范大学环境与地理科学学院硕士研究生,主要研究方向为城市规划、经济地理;曾 刚(通讯作者)(1961—),男,湖北武汉人,华东师范大学城市发展研究院院长,教授,博士研究生导师,博士,主要研究方向为区域经济与区域发展模式;曹月娥(1976—),女,新疆昌吉人,上海师范大学环境与地理科学学院教授,博士研究生导师,博士,主要研究方向为国土空间规划;尹伊君(2001—),女,河北石家庄人,上海师范大学环境与地理科学学院硕士研究生,主要研究方向为经济地理。

收稿日期: 2024-06-13

  修回日期: 2024-10-08

  网络出版日期: 2025-02-01

基金资助

国家自然科学基金重点项目(42130510)——“长三角战略性新兴产业创新网络地域空间结构研究”。

Research on the impact of key digital technology convergence on urban technology breakthrough

  • YE Qin ,
  • JIANG Hai-yun ,
  • ZENG Gang and Colleagues
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Received date: 2024-06-13

  Revised date: 2024-10-08

  Online published: 2025-02-01

摘要

数字技术的快速发展和广泛融合深刻地改变了经济结构,成为重塑国家创新格局、赋能新质生产力的关键力量。基于2014—2022年我国地级市关键数字技术发明专利数据,在划分七种关键数字技术类型的基础上,定量比较城市不同类型数字技术融合能力,探索关键数字技术融合对城市技术突破影响的过程与机理。研究发现:首先,东部城市关键数字技术融合能力处于全国领先地位,武汉、成都、西安等中西部城市的快速崛起打破了原有由东部城市主导的格局,区域之间总体差距缩小。其次,数字技术之间的融合程度不断加深,人工智能技术在其中发挥了关键作用。此外,数字技术与非数字技术(尤其是化学和医学领域)融合程度显著提高,其中,量子信息技术的跨界融合程度最高。最后,七类数字技术融合均显著促进了城市技术突破,其中,元宇宙的促进效果最为显著。中介效应分析结果表明,关键数字技术融合通过知识相关多样化与非相关多样化促进城市技术突破。研究结论可为提升城市关键数字技术领域创新能级、融合形成关键领域优势提供科学依据与政策启示。

本文引用格式

叶琴 , 蒋海云 , 曾刚 , 曹月娥 , 尹伊君 . 关键数字技术融合对城市技术突破的影响研究[J]. 城市问题, 2024 , 352(11) : 33 -41 . DOI: 10.13239/j.bjsshkxy.cswt.241105

Abstract

The rapid development and widespread integration of digital technologies have profoundly changed the economic structure, becoming a key force in reshaping the national innovation landscape and empowering new productive forces. Based on the invention patent data for key digital technologies from 2014 to 2022 in China’s prefecture-level cities, this study classifies seven types of key digital technologies and quantitatively compares the digital technology integration capabilities of cities. It explores the process and mechanisms through which the integration of key digital technologies impacts technological breakthroughs in cities. The study finds that: firstly, eastern cities lead the country in digital technology integration capabilities, but in recent years, cities in the central and western regions (such as Wuhan, Chengdu, and Xi’an) have risen rapidly, breaking the previous pattern dominated by eastern cities, and the gap between regions has generally narrowed. Secondly, the degree of integration among digital technologies has deepened, with artificial intelligence playing a key role. Furthermore, the integration of digital and non-digital technologies (especially in the fields of chemistry and medicine) has significantly increased, with quantum information technology exhibiting the highest level of cross-disciplinary integration. Finally, the integration of all seven types of digital technologies has significantly promoted technological breakthroughs in cities, with the metaverse having the most pronounced effect. Mediation effect analysis shows that the integration of key digital technologies promotes technological breakthroughs in cities through knowledge related variety, unrelated variety.

参考文献

[1] Van Meeteren M,Trincado-Munoz F,Rubin T H,et al.Rethinking the digital transformation in knowledge-intensive services: A technology space analysis[J]Technological Forecasting and Social Change, 2022(2): 121631
[2] 刘海兵,刘洋,黄天蔚.数字技术驱动高端颠覆性创新的过程机理:探索性案例研究[J].管理世界,2023(7):63-81,99,82
[3] 李影.中国城市数字技术创新水平的时空演变特征及趋势预测[J].地理研究,2024(3):640-657
[4] 叶琴,徐晓磊,胡森林,等.长三角人工智能产业空间格局及影响因素[J].长江流域资源与环境,2022(3):526-536
[5] 孙勇,樊杰,刘汉初,等.长三角地区数字技术创新时空格局及其影响因素[J].经济地理,2022(2):124-133
[6] Caviggioli F.Technology fusion: Identification and analysis of the drivers of technology convergence using patent data[J]. Technovation, 2016, 55-56: 22-32
[7] Karvonen M, Kässi T. Patent citations as a tool for analysing the early stages of convergence[J].Technological Forecasting and Social Change, 2013(6): 1094-1107
[8] 翟东升,张京先.基于专利技术共现网络的无人驾驶汽车技术融合演化研究[J].情报杂志,2020(4):60-66,19
[9] Sasaki H, Sakata I. Identifying potential technological spin-offs using hierarchical information in international patent classification[J]. Technovation, 2021(11): 102192
[10] Han E J, Sohn S Y. Technological convergence in standards for information and communication technologies[J]. Technological Forecasting and Social Change, 2016(5): 1-10
[11] Balland P A, Boschma R.Mapping the potentials of regions in Europe to contribute to new knowledge production in Industry 4.0 technologies[J].Regional Studies, 2021(10-11): 1652-1666
[12] Tanner A N.The emergence of new technology-based industries:The case of fuel cells and its technological relatedness to regional knowledge bases[J]. Journal of Economic Geography, 2016(3): 611-635
[13] Boschma R, Frenken K.The emerging empirics of evolutionary economic geography[J]. Journal of Economic Geography, 2011(2): 295-307
[14] Neffke F,Henning M, Boschma R.How do regions diversify over time? Industry relatedness and the development of new growth paths in regions[J]. Economic Geography, 2011(3): 237-265
[15] Gao J, Jun B G, Pentland A,et al.Spillovers across industries and regions in China’s regional economic diversification[J]. Regional Studies, 2021(7): 1311-1326
[16] 贺灿飞,任卓然,吴婉金.产品动态技术关联与中国出口产业地理共聚[J].地理研究,2023(9):2283-2301
[17] Laffi M, Boschma R.Does a local knowledge base in Industry 3.0 foster diversification in Industry 4.0 technologies? Evidence from European regions[J]. Papers in Regional Science, 2022(1): 5-35
[18] Castaldi C, Frenken K, Los B. Related variety, unrelated variety and technological breakthroughs: An analysis of US state-level patenting[J]. Regional Studies, 2015(5): 767-781
[19] Frenken K, Van Oort F,Verburg T. Related variety, unrelated variety and regional economic growth[J].Regional Studies, 2007(5): 685-697
[20] 胡志强,苗长虹,熊雪蕾,等.产业集聚对黄河流域工业韧性的影响研究[J].地理科学,2021(5):824-831
[21] Boschma R,Miguelez E,Moreno R,et al.The role of relatedness and unrelatedness for the geography of technological breakthroughs in Europe[J].Economic Geography, 2023(2): 117-139
[22] Carlile P R.Transferring,translating,and transforming:An integrative framework for managing knowledge across boundaries[J]. Organization Science, 2004(5): 555-568
[23] Yoo Y J, Henfridsson O, Lyytinen K.The new organizing logic of digital innovation: An agenda for information systems research[J]. Information Systems Research, 2010(4):724-735
[24] Li J, Yu Y. From collaborative research to new product development: Why a central or brokered network position is not enough[J]. Journal of Knowledge Management, 2022(3): 615-641
[25] 黄先海,高亚兴.数实产业技术融合与企业全要素生产率:基于中国企业专利信息的研究[J].中国工业经济,2023(11):118-136
[26] 叶琴,曾刚.不同知识基础产业创新网络与创新绩效比较:以中国生物医药产业与节能环保产业为例[J].地理科学,2020(8):1235-1244
[27] 丁乙宸,黄亚平,鲁仕维,等.长三角汽车制造产业链投资网络空间特征及影响因素[J].地理研究,2024(7):1715-1734
[28] 王俊松,颜燕.复杂度、关联度与城市技术演化路径:基于北京、上海、深圳的对比分析[J].地理科学进展,2022(4):554-566
[29] 叶琴,曾刚,蒋海云.随机与蓄意攻击下长三角城市知识网络稳健性特征及其对创新绩效的影响[J].地理研究,2024(5):1088-1106
[30] 张杰,范雨婷.创新型城市绿色发展:效率测算、外部性与提升路径[J].中国人口·资源与环境,2023(2):102-112
[31] Van Meeteren M, Trincado-Munoz F, Rubin T H, et al. Rethinking the digital transformation in knowledge in-tensive services: A technology space analysis[J]. Technological Forecasting and Social Change, 2022(179): 121631
[32] 宋立丰,祁大伟,宋远方.“区块链+”商业模式创新整合路径[J].科研管理,2019(7):69-77
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