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人工智能技术对新能源企业资源配置效率提升的影响

黄玉洁 王宁 刘保留

中国人口·资源与环境2026,Vol.36Issue(8):17-29,13.
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中国人口·资源与环境2026,Vol.36Issue(8):17-29,13.DOI:10.12062/cpre.20251034

人工智能技术对新能源企业资源配置效率提升的影响

Impact of AI technology on the enhancement of resource allocation efficiency in new energy enterprises

黄玉洁 1王宁 2刘保留3

作者信息

  • 1. 北京工业大学经济与管理学院,北京 100124||北京工业大学生态文明研究院,北京 100124
  • 2. 山东工商学院工商管理学院,山东 烟台 264005
  • 3. 天津商业大学经济学院,天津 300134||天津商业大学可持续发展研究院,天津 300134
  • 折叠

摘要

Abstract

Driven by the dual demands of global energy transition and environmental governance,artificial intelligence(AI)has emerged as a core force for upgrading the efficiency of new energy enterprises.Using data from new energy companies listed on China's Shanghai and Shenzhen A-share markets from 1991 to 2023,this study constructed a theoretical model integrating AI technology and re-source allocation of new energy enterprises.It employed the Richardson residual method to measure the resource allocation efficiency of new energy enterprises and adopted the fixed-effect model to empirically analyze the key impact and underlying mechanisms of AI tech-nology on enhancing this efficiency.The results showed that:(1)AI technology had a significant and positive correlation with the re-source allocation efficiency of new energy enterprises,yielding an average promotion effect of approximately 2.58%.This conclusion re-mained valid after a series of robustness tests.(2)Heterogeneity analysis indicated that the impact of AI technology on enhancing re-source allocation efficiency was most pronounced in enterprises in the western region,whereas the effects in the eastern and central re-gions were relatively weaker.Furthermore,state-owned enterprises leveraged resource and policy advantages to increase investment in AI technology,while private enterprises accurately optimized resource allocation through flexible cooperation models;both served as pivotal drivers of industrial growth.(3)Mechanism analysis revealed that AI technology mitigated resource misallocation and improved allocation efficiency by enhancing human capital quality,increasing R&D investment intensity,and advancing digital financial services level.Therefore,in the new era of China's economic and energy transition,policymakers should firmly seize the new opportunities brought by the development of AI technology and integrate AI into new energy development.At the same time,it is necessary to strengthen policy guidance and support,improve digital inclusive finance policies,and optimize human resource structures to achieve a regional development pattern characterized by coordination and mutual benefit.

关键词

人工智能/新能源企业/资源配置效率/人力资本/数字金融/研发投入强度

Key words

artificial intelligence/new energy enterprise/resource allocation efficiency/human capital/digital finance/R&D investment intensity

分类

管理科学

引用本文复制引用

黄玉洁,王宁,刘保留..人工智能技术对新能源企业资源配置效率提升的影响[J].中国人口·资源与环境,2026,36(8):17-29,13.

基金项目

国家自然科学基金重点项目"面向碳中和的中国经济转型模式构建研究"(批准号:72140001) (批准号:72140001)

国家社会科学基金一般项目"混合所有制改革中国有企业跨国并购的双向治理模式及动态优化机制研究"(批准号:20BGL029). (批准号:20BGL029)

中国人口·资源与环境

1002-2104

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