贵州财经大学学报 ›› 2024 ›› Issue (01): 21-30.

• 数字经济 • 上一篇    下一篇

城市数字技术创新产出的空间策略互动行为研究

李强, 程占红, 田祥宇   

  1. 山西财经大学, 山西 太原 030006
  • 收稿日期:2023-07-12 出版日期:2024-01-15 发布日期:2024-01-30
  • 作者简介:李强(1978—),男,山西阳城人,山西财经大学文化旅游与新闻艺术学院博士研究生,研究方向为数字旅游、城乡旅游;程占红(1972—),男,山西新绛人,山西财经大学文化旅游与新闻艺术学院教授,博士研究生导师,研究方向为旅游经济、旅游管理;田祥宇(1972—),男,山西汾阳人,山西财经大学会计学院教授,博士研究生导师,研究方向为数字经济、城乡经济、财务管理。
  • 基金资助:
    国家社会科学基金重点项目"数字乡村建设驱动城乡共同富裕的机制、效应与路径研究"(22AJY025)。

Research on Spatial Strategy Interaction Behavior of Digital Innovation Output in Chinese Cities

LI Qiang, CHENG Zhanhong, TIAN Xiangyu   

  1. Shanxi University of Finance and Economic, Taiyuan, Shanxi 030006, China
  • Received:2023-07-12 Online:2024-01-15 Published:2024-01-30

摘要: 区域数字创新协同发展是实现我国国家治理能力与治理体系现代化的重要驱动力。现有文献主要关注区域间数字技术创新产出的空间相关性和异质性,未对其是否存在空间策略互动行为及其作用机制进行识别和检验。本文将技术创新扩散和创新竞争规避效应假说引入城市数字技术创新产出空间特征分析中,通过构建空间计量模型分析城市数字技术创新产出的空间策略互动行为。研究结果表明:第一,本地数字技术创新产出数量的上升会带动空间关联地区数字技术创新产出数量的上升,并且在数字经济发展水平空间权重矩阵下,数字技术创新产出的空间溢出效应高于技术进步空间权重矩阵下的空间溢出效应。从策略互动形式来看,城市间数字技术创新产出表现出明显的向上竞争效应。第二,机制检验表明,城市间数字技术创新产出空间互动效应是由省界竞争规避机制驱动的,城市内部学习示范效应会弱化城市间数字技术创新产出的空间策略互动效应,外部学习示范机制会强化城市间数字技术创新产出的空间策略互动效应。第三,异质性检验表明,数字技术创新产出表现出明显的技术进步、数字经济发展水平异质性;高(低)数字技术创新产出城市间存在显著空间策略互动效应。研究结论对正确认识城市间数字技术创新产出的空间策略互动行为和建立健全区域间数字技术进步协同促进机制具有重要的现实意义。

关键词: 城市数字技术创新产出, 空间策略互动, 技术创新扩散, 竞争规避效应, 作用机制

Abstract: The coordinated development of regional digital innovation is an important driving force for achieving modernization of China’s national governance capacity and governance system. The existing literature mainly focuses on the spatial correlation and heterogeneity of digital technology innovation output between regions, without identifying and testing whether there is spatial strategy interaction behavior and its mechanism of action. This article introduces the hypothesis of technological innovation diffusion and innovation competition avoidance effect into the analysis of spatial characteristics of urban digital technology innovation output, and analyzes the spatial strategy interaction behavior of urban digital technology innovation output by constructing a spatial econometric model. The research results indicate that, firstly, the increase in the number of local digital technology innovation outputs will drive the increase in the number of digital technology innovation outputs in spatially related regions. Moreover, under the spatial weight matrix of digital economic development level, the spatial spillover effect of digital technology innovation outputs is higher than that under the spatial weight matrix of technological progress. From the perspective of strategic interaction, the output of digital technology innovation between cities shows a clear upward competitive effect. Secondly, mechanism testing indicates that the spatial interaction effect of digital technology innovation output between cities is driven by provincial competition avoidance mechanisms. The internal learning demonstration effect of cities weakens the spatial strategy interaction effect of digital technology innovation output between cities, while the external learning demonstration mechanism strengthens the spatial strategy interaction effect of digital technology innovation output between cities. Thirdly, heterogeneity testing indicates that digital technology innovation output exhibits significant technological progress and heterogeneity in the level of digital economic development; There is a significant spatial strategy interaction effect between cities with high (low) digital technology innovation output. The research conclusion has important practical significance for correctly understanding the spatial strategy interaction behavior of digital technology innovation output between cities and establishing a sound collaborative promotion mechanism for digital technology progress between regions.

Key words: urban digital innovation output, spatial strategy interaction, technological innovation diffusion, competition avoidance effect, mechanism of action

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