产业智能化对省域创新韧性的影响——基于面板数据的实证研究
作者单位:

太原理工大学

中图分类号:

F124.3

基金项目:

山西省回国留学人员科研资助项目“数字经济对山西省装备制造业升级的影响机制和对策研究”(2021-063);山西省科技战略研究专项“产业智能化对山西省生态效率的影响机制与对策研究”(202304031401038)。


The Impact of Industrial Intelligence on Provincial Innovation Resilience:Empirical Research Based on Panel Data
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    摘要:

    智能化为产业发展提供更加准确的信息支持,实现产业之间的数据共享、智能协同和资源互补,并帮助产业提高差异化生产的能力,但其对省域创新韧性的影响机制仍有待研究。基于2010-2021年中国30个省域的面板数据,采用可行广义最小二乘法和固定效应模型,实证分析产业智能化对省域创新韧性的影响及其影响的地区异质性,并探究产业结构高级化和合理化的中介作用以及创新人才集聚的调节作用。研究发现:产业智能化显著提升了省域创新韧性;在东部和中部地区,产业智能化对省域创新韧性均存在显著提升作用,而在西部地区的提升作用不显著;产业结构高级化和合理化在产业智能化影响省域创新韧性中发挥部分中介作用;创新人才集聚增强了产业智能化对省域创新韧性的影响。为此,要加速智能化技术的研发和应用,同时引导生产要素向高级化、合理化方向发展,加大对资本和密集型产业等的投资力度。

    Abstract:

    Intelligence provides more accurate information support for industrial development, realizes data sharing, intelligent collaboration and resource complementarity between industries, and helps industries improve the ability of differentiated production, but its impact mechanism on provincial innovation resilience remains to be studied. Based on panel data from 30 provinces in China from 2010 to 2021, this paper adopts feasible generalized least square method and fixed effect model to empirically analyze the impact of industrial intelligence on provincial innovation resilience and the regional heterogeneity of this impact, and explores the mediating role of the upgrading and rationalization of industrial structure and the moderating role of innovative talent agglomeration. The study found that industrial intelligence has significantly improved provincial innovation resilience; industrial intelligence has significant improving roles on provincial innovation resilience in eastern and central regions, but has no significant improving role in western region; industrial structure upgrading and rationalization play a partial mediating role in the impact of industrial intelligence on provincial innovation resilience; innovative talent agglomeration enhances the impact of industrial intelligence on provincial innovation resilience. Therefore, it is necessary to accelerate the research and development and application of intelligent technology, and guide the development of production factors to a direction of upgrading and rationalization, and increase investment in capital and intensive industries.

    参考文献
    [1] 张炜, 巩键. 中国区域创新模式测度及其创新政策再设计[J]. 科研管理, 2020, 41(4): 85-93.
    [2] 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.
    [3] 沈悦, 赵强, 朱雅玲. 产业智能化对消费升级的作用机制研究——理论分析与实证检验[J]. 经济纵横, 2021(3): 78-88.
    [4] RAMMER C, FERNANDEZ G P, CZARNITZKI D. Artificial intelligence and industrial innovation: Evidence from German firm-level data[J]. Research Policy, 2022, 51(7): 104555.
    [5] LI C, XU Y, ZhENG H, et al. Artificial intelligence, resource reallocation, and corporate innovation efficiency: Evidence from China’s listed companies[J]. Resources Policy, 2023, 81: 103324.
    [6] LIU J, CHANG H, FORREST J Y L, et al. Influence of artificial intelligence on technological innovation: Evidence from the panel data of china’s manufacturing sectors[J]. Technological Forecasting and Social Change, 2020, 158: 120142.
    [7] 付文宇, 李彦, 贺子欣. 人工智能对区域创新发展的影响研究[J]. 工业技术经济, 2021, 40(12): 51-57.
    [8] 赵培雅, 高煜, 孙雪. “双控”目标下产业智能化的节能降碳减排效应[J]. 中国人口·资源与环境, 2023, 33(9): 59-69.
    [9] 罗良文, 张郑秋, 周倩. 产业智能化与城市低碳经济转型[J]. 经济管理, 2023, 45(5): 43-60.
    [10] 胡甲滨, 俞立平, 洪金珠. 双循环背景下创新韧性对高技术产业发展影响研究[J]. 科研管理, 2023, 44(6): 51-61.
    [11] 尹勇, 苏欣怡, 谢晓琪. 产业结构升级对市域经济韧性的空间效应[J]. 经济地理, 2023, 43(8): 86-92, 112.
    [12] 杨飞. 产业智能化如何影响劳动报酬份额——基于产业内效应与产业关联效应的研究[J]. 统计研究, 2022, 39(2): 80-95.
    [13] WANG S J, LI M Y. Does industrial intelligence improve resource misallocation? An empirical test based on China[J]. Environmental Science and Pollution Research, 2022, 29(51): 77973-77991.
    [14] MENG X N, XU S C, ZHANG J N. How does industrial intelligence affect carbon intensity in China? Empirical analysis based on Chinese provincial panel data[J]. Journal of Cleaner Production, 2022, 376: 134273.
    [15] 孟凡生, 赵艳. 工业智能化、产业集聚与碳生产率[J]. 科学学研究, 2023, 41(10): 1789-1799.
    [16] 干春晖, 郑若谷, 余典范. 中国产业结构变迁对经济增长和波动的影响[J]. 经济研究, 2011, 46(5): 4-16, 31.
    [17] PAN X, WANG M, LI M. Low-carbon policy and industrial structure upgrading: Based on the perspective of strategic interaction among local governments[J]. Energy Policy, 2023, 183: 113794.
    [18] 张万里, 宣旸. 产业智能化对产业结构升级的空间溢出效应——劳动力结构和收入分配不平等的调节作用[J]. 经济管理, 2020, 42(10): 77-101.
    [19] LIAO H, YANG L, DAI S, et al. Outward FDI, industrial structure upgrading and domestic employment: Empirical evidence from the Chinese economy and the belt and road initiative[J]. Journal of Asian economics, 2021, 74: 101303.
    [20] CHANG H, DING Q, ZHAO W, et al. The digital economy, industrial structure upgrading, and carbon emission intensity——Empirical evidence from China’s provinces[J]. Energy Strategy Reviews, 2023, 50: 101218.
    [21] 刘军, 陈嘉钦. 智能化能促进中国产业结构转型升级吗[J]. 现代经济探讨, 2021(7): 105-111.
    [22] LIU J, HOU X, WANG Z, et al. Study the effect of industrial structure optimization on urban land-use efficiency in China[J]. Land Use Policy, 2021, 105: 105390.
    [23] 鲍鹏程, 黄磊. 创新人才集聚如何影响城市生态财富[J]. 山西财经大学学报, 2023, 45(5): 28-42.
    [24] 宣旸, 张万里. 产业智能化、收入分配与产业结构升级[J]. 财经科学, 2021(5): 103-118.
    [25] 蔡庆丰, 王仕捷, 刘昊, 等. 城市群人口集聚促进域内企业创新吗[J]. 中国工业经济, 2023(3): 152-170.
    [26] 郭金花, 郭淑芬. 创新人才集聚、空间外溢效应与全要素生产率增长——兼论有效市场与有为政府的门槛效应[J]. 软科学, 2020, 34(9): 43-49.
    [27] WANG K L, XU R Y, ZHANG F Q, et al. Spatiotemporal heterogeneity and driving factors of PM2.5 reduction efficiency: An empirical analysis of three urban agglomerations in the Yangtze River Economic Belt, China[J]. Ecological Indicators, 2021, 132: 108308.
    [28] 戴翔, 金碚. 产品内分工、制度质量与出口技术复杂度[J]. 经济研究, 2014, 49(7): 4-17, 43.
    [29] 于斌斌. 产业结构调整与生产率提升的经济增长效应——基于中国城市动态空间面板模型的分析[J]. 中国工业经济, 2015(12): 83-98.
    [30] 卢现祥, 滕宇汯. 创新驱动政策如何提升城市经济韧性: 基于有效市场和有为政府的机制分析[J]. 中国软科学, 2023(7): 102-113.
    [31] 马为彪, 吴玉鸣. 国家中心城市建设提升了城市群创新能力了吗?——以十九大城市群为例[J]. 科学学研究, 2023, 41(3): 534-546.
    [32] SONG M L, ZHAO X, SHANG Y P. The impact of low-carbon city construction on ecological efficiency: Empirical evidence from quasi-natural experiments[J]. Resources, Conservation Recycling, 2020, 157: 104777.
    [33] BAI Y X, WANG C, ZENG M, et al. Does carbon trading mechanism improve the efficiency of green innovation? Evidence from China[J]. Energy Strategy Reviews, 2023, 49: 101170.
    [34] KHAN S A R, JIAN C, ZHANG Y, et al. Environmental, social and economic growth indicators spur logistics performance: From the perspective of South Asian Association for Regional Cooperation countries[J]. Journal of Cleaner Production, 2019, 214: 1011-1023.
    [35] HU Y, WANG C, ZHANG X, et al. Financial agglomeration and regional green innovation efficiency from the perspective of spatial spillover[J]. Journal of Innovation Knowledge, 2023, 8(4): 100434.The Impact of Industrial Intelligence on Provincial Innovation Resilience——Empirical Research Based on Panel DataAbstract: Based on the panel data of 30 provinces in China’s mainland from 2010 to 2021, this paper empirically analyzes the impact of industrial intelligence on provincial innovation resilience and the regional heterogeneity of this impact. The mediating role of industrial structure upgrading and rationalization and the moderating role of innovative talent agglomeration are also explored. The results show that, industrial intelligence significantly improves provincial innovation resilience, and has a significant promoting role on the innovation resilience in the eastern and central regions, but has no significant promoting role on the innovation resilience in the western region; industrial structure upgrading and rationalization plays a partial mediating role in the process of industrial intelligence impacting provincial innovation resilience; innovative talent agglomeration enhances the impact of industrial intelligence on provincial innovation resilience. This study provides References for relevant departments to guide the improvement of provincial innovation resilience from the perspective of industrial intelligence.Keywords: Industrial Intelligence; Provincial Innovation Resilience; Industrial Structure Upgrading; Industrial Structure Rationalization; Innovative Talent Agglomeration
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白珊,陈怀超,张莹,刘柏君.产业智能化对省域创新韧性的影响——基于面板数据的实证研究[J].,2024,44(15).

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  • 收稿日期:2023-11-24
  • 最后修改日期:2024-10-09
  • 录用日期:2024-02-13
  • 在线发布日期: 2025-03-19
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