首页|新质生产力视角下广东省相关新兴产业的效率评价及其关键影响因素分析

新质生产力视角下广东省相关新兴产业的效率评价及其关键影响因素分析

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新质生产力是实现中国式现代化和高质量发展的重要抓手,但目前学术界对培育新质生产力的产业讨论与定量研究仍有不足.通过深入讨论新质生产力的概念内涵,并立足于广东省,基于培育发展新质生产力视角选取14个相关新兴产业;在此基础上,使用DEA-Malmquist模型与BMA模型,从行业内部指标、新参与主体、新渗透要素与行业内部指标角度出发,对这些产业2015-2022年的科技效率与关键影响因素进行研究.研究表明:研究期间14个相关新兴产业的科技效率呈现曲折性发展态势,而企业自身抗风险能力、环境处置能力、政府定向支持、产业结构、政府融资支持与市场需求为关键影响因素.因此,政府应当加强对战略性新兴产业的定向支持、引导产业绿色发展、完善产业金融支持服务体系与扩大消费市场规模,从而促进相关新兴产业的发展,加快推动发展新质生产力.
Analysis of Efficiency Evaluation and Key Influencing Factors of Emerging Industries in Guangdong Province from the Perspective of New Quality Productive Forces
New quality productive forces is an important lever for achieving Chinese modernization and high-quality development.However,there is still a lack of industry discussions and quantitative research in the academic community regarding the cultivation of these forces.By delving into the conceptual connotations of new quality productive forces and focusing on Guangdong province,this study systematically proposes 14 related emerging industries from the perspective of new quality productive forces,and uses the DEA-Malmquist model and BMA model to investigate the technological efficiency and key influencing factors of these industries in Guangdong from 2015 to 2022,considering internal industry indicators,new participants,new penetration factors,and internal industry factors.The results show that the technological efficiency of the 14 industries develops in a tortuous manner and the key influencing factors include enterprises'own risk resistance capacity,environmental treatment capacity,government-directed support,industrial structure,government financing support,and market demand.Therefore,the government should strengthen targeted support for emerging strategic industries,guide the green development of industries,improve financial support service system,and expand the consumer market size to promote the development of the industries so as to accelerate the development of new quality productive forces.

new quality productive forcesChinese modernizationkey influencing factorsBayesian model averaging

杨尔璞、孙晶、陈梦婷、高燕

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广东工业大学管理学院,广东 广州 510520

广东省技术经济研究发展中心,广东 广州 510070

新质生产力 中国式现代化 关键影响因素 贝叶斯模型平均

2024

科技管理研究
广东省科学学与科技管理研究会

科技管理研究

CSTPCDCHSSCD
影响因子:0.779
ISSN:1000-7695
年,卷(期):2024.44(21)