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作 者:田剑[1] 李可星 TIAN Jian;LI Kexing(School of Economics and Management,Jiangsu University of Science and Technology,Zhenjiang 212100,China)
机构地区:[1]江苏科技大学经济管理学院,江苏镇江212100
出 处:《科技与经济》2024年第6期46-50,共5页Science & Technology and Economy
基 金:国家社会科学基金项目——“生命周期视角下众创空间创业生态系统演化机理与运行绩效研究”(项目编号:17BGL028,项目负责人:田剑)成果之一。
摘 要:随着全球数字化进程的加速,制造业正面临前所未有的变革,数字化转型成为提升企业竞争力和创新能力的关键。选取22家汽车整车制造业上市公司为研究对象,运用DEA-BBC模型对其技术创新效率加以测算,并基于2018—2022年面板数据进行Malmquist指数动态分析;采用随机效应Tobit模型检验数字化转型对汽车制造业技术创新效率的影响。研究表明,汽车制造业上市公司的整体创新效率相对较低且呈逐年下降趋势,而数字化转型对汽车制造业上市公司技术创新效率产生显著正向影响。汽车制造业上市公司应通过深度融合人工智能、物联网等技术,提升技术创新效率并优化劳动力结构,推动行业的全面升级和高质量发展。With the acceleration of global digitalization,the manufacturing industry is facing unprecedented changes,and digital transformation has become the key to enhancing the competitiveness and innovation capabilities of enterprises.In this study,22 listed companies in the automobile manufacturing industry were used to measure their technological innovation efficiency using the DEA-BBC model,and the Malmquist index dynamic analysis was carried out based on the panel data from 2018 to 2022.Furthermore,the random-effects Tobit model was used to test the impact of digital transformation on the technological innovation efficiency of automobile manufacturing industry.The results show that the overall innovation efficiency of listed companies in the automobile manufacturing industry is relatively low and declining year by year,while digital transformation has a significant positive impact on the technological innovation efficiency of the automobile manufacturing industry.To this end,listed companies in the automobile manufacturing industry should improve innovation efficiency and optimize the labor structure through deep integration of artificial intelligence,Internet of Things and other technologies to promote the comprehensive upgrading and high-quality development of the industry.
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