Intelligent-driven resilience enhancement: Nonlinear impacts and spatial spillover effects of AI penetration on China’s NEV industry chain

IF 10.1 1区 社会学 Q1 SOCIAL ISSUES
Qiong Yang, Haibin Liu
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引用次数: 0

Abstract

As a key representative of China’s strategic emerging industries, the new energy vehicle (NEV) industry has demonstrated resilience in addressing global industrial risks and external shocks. Against the backdrop of a new technological revolution, the penetration of Artificial Intelligence (AI) plays a vital role in strengthening industrial chain resilience and ensuring stable economic operations. This paper, through theoretical deduction and empirical analysis using data from 563 listed companies between 2015 and 2023, systematically examines the nonlinear impact of AI penetration on NEV industry chain resilience, further exploring its spatial spillover effects. The findings indicate that AI penetration exerts an inverted U-shaped influence on the resistance, recovery, renewal capacities, and overall resilience of the NEV industry chain, with the average effect not yet surpassing the inflection point. This influence exhibits significant heterogeneity across different levels of economic development, pandemic stages, firm ownership, and industry chain segments. The dynamic spatial Durbin model confirms that the impact of AI penetration on the resilience of the NEV industry involves complex spatial spillover effects and spatial heterogeneity. The study provides policy recommendations for guiding AI application, fostering regional collaborative development, and optimizing industrial chain layouts, thereby enhancing the industry’s capacity to withstand external risks and promoting the high-quality development of China’s NEV sector.

Abstract Image

智能驱动的弹性增强:人工智能渗透对中国新能源汽车产业链的非线性影响和空间溢出效应
作为中国战略性新兴产业的重要代表,新能源汽车产业在应对全球产业风险和外部冲击方面表现出了较强的韧性。在新技术革命的背景下,人工智能(AI)的渗透对增强产业链弹性、确保经济稳定运行具有至关重要的作用。本文利用2015 - 2023年563家上市公司的数据,通过理论推导和实证分析,系统考察人工智能渗透对新能源汽车产业链弹性的非线性影响,并进一步探讨其空间溢出效应。研究结果表明,人工智能渗透率对新能源汽车产业链的阻力、恢复能力、更新能力和整体弹性的影响呈倒u型,平均影响尚未超过拐点。这种影响在不同的经济发展水平、疫情阶段、企业所有权和产业链环节之间表现出显著的异质性。动态空间Durbin模型证实,人工智能渗透对新能源汽车产业弹性的影响涉及复杂的空间溢出效应和空间异质性。该研究为引导人工智能应用、促进区域协同发展、优化产业链布局提供政策建议,从而增强行业抵御外部风险的能力,促进中国新能源汽车行业的高质量发展。
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来源期刊
CiteScore
17.90
自引率
14.10%
发文量
316
审稿时长
60 days
期刊介绍: Technology in Society is a global journal dedicated to fostering discourse at the crossroads of technological change and the social, economic, business, and philosophical transformation of our world. The journal aims to provide scholarly contributions that empower decision-makers to thoughtfully and intentionally navigate the decisions shaping this dynamic landscape. A common thread across these fields is the role of technology in society, influencing economic, political, and cultural dynamics. Scholarly work in Technology in Society delves into the social forces shaping technological decisions and the societal choices regarding technology use. This encompasses scholarly and theoretical approaches (history and philosophy of science and technology, technology forecasting, economic growth, and policy, ethics), applied approaches (business innovation, technology management, legal and engineering), and developmental perspectives (technology transfer, technology assessment, and economic development). Detailed information about the journal's aims and scope on specific topics can be found in Technology in Society Briefings, accessible via our Special Issues and Article Collections.
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