暨南学报(哲学社会科学版)

作者：戴魁早, 吴婷莉, 潘爱民

单位：湖南科技大学商学院;吴婷莉,浙江财经大学经济学院;潘爱民,湖南科技大学商学院。

关键词：人工智能,工业结构高度化,内在机制,要素市场发展

基金：国家自然科学基金面上项目“技术要素市场发展对中国制造业生产率增长的影响机制及调控政策研究”(72173042);国家自然科学基金面上项目“要素价格扭曲对中国高技术产业出口技术复杂度的影响机制及调控政策研究”(71773107);浙江省社会科学界联合会研究课题(2023N110);浙江省软科学研究计划项目“数字经济赋能浙江省制造业高质量发展机理、空间溢出及实现路径研究”(2022C35038)。

通过构建理论模型探究人工智能影响工业结构升级的内在机制,并利用智能化指数和工业结构高度化指数,运用多种计量方法实证检验人工智能对中国工业结构升级的影响。研究发现,人工智能发展显著促进了中国各地区工业结构升级。金融危机以后和“十二五”期间的供给侧结构性改革和政策支持强化了这种促进作用,而东部地区更为明显的积极影响可能源于工业基础和资源禀赋等方面的优势。人工智能的促进作用主要是通过增强对高技术产业劳动生产率和技术溢出效应的相对影响等机制实现的。进一步研究还发现,人工智能对工业结构升级的促进作用受到要素市场发展状况的影响,而资本市场、劳动力市场和技术市场等要素细分市场的发展都明显改善了人工智能的作用效果。"/>template{display:none;}.mag-rich-xref-fn { cursor: pointer;}//长视频$(document).ready(function(){if($("#showLongArticleVideo") && $("#showLongArticleVideo").length && $("#showLongArticleVideo").length>0){mag_ajax_update({ele_id:'showLongArticleVideo',url:mag_currentQikanUrl() + "/CN/article/showLongArticleVideo.do?id="+$("#articleId").val()});}});$(document).ready(function(){window.metaData = {"journal":{"issn":"1000-5072","qiKanMingCheng_CN":"暨南学报（哲学社会科学版）","id":2,"qiKanMingCheng_EN":"Jinan Journal"},"fundList_cn":["国家自然科学基金面上项目“技术要素市场发展对中国制造业生产率增长的影响机制及调控政策研究”(72173042);国家自然科学基金面上项目“要素价格扭曲对中国高技术产业出口技术复杂度的影响机制及调控政策研究”(71773107);浙江省社会科学界联合会研究课题(2023N110);浙江省软科学研究计划项目“数字经济赋能浙江省制造业高质量发展机理、空间溢出及实现路径研究”(2022C35038)。"],"article":{"keywordList_cn":["工业结构高度化","内在机制","人工智能","要素市场发展"],"juan":"44","zhaiyao_cn":"通过构建理论模型探究人工智能影响工业结构升级的内在机制,并利用智能化指数和工业结构高度化指数,运用多种计量方法实证检验人工智能对中国工业结构升级的影响。研究发现,人工智能发展显著促进了中国各地区工业结构升级。金融危机以后和“十二五”期间的供给侧结构性改革和政策支持强化了这种促进作用,而东部地区更为明显的积极影响可能源于工业基础和资源禀赋等方面的优势。人工智能的促进作用主要是通过增强对高技术产业劳动生产率和技术溢出效应的相对影响等机制实现的。进一步研究还发现,人工智能对工业结构升级的促进作用受到要素市场发展状况的影响,而资本市场、劳动力市场和技术市场等要素细分市场的发展都明显改善了人工智能的作用效果。","endNoteUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/article/getTxtFile.do?fileType=EndNote&id=6620","bibtexUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/article/getTxtFile.do?fileType=BibTeX&id=6620","abstractUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/10.11778/j.jnxb.20220011","qi":"10","id":6620,"nian":2022,"bianHao":"2022-10-17","zuoZheEn_L":"DAI Kuizao, WU Tingli, PAN Aimin","juanUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/Y2022","shouCiFaBuRiQi":"2022-11-17","qiShiYe":"17","qiUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/Y2022/V44/I10","lanMu_cn":"经济研究","pdfSize":"0","zuoZhe_CN":"戴魁早, 吴婷莉, 潘爱民","risUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/article/getTxtFile.do?fileType=Ris&id=6620","title_cn":"人工智能与工业结构升级","doi":"10.11778/j.jnxb.20220011","jieShuYe":"35","keywordList_en":["artificial intelligence","factor market development","internal mechanism","the advance of industrial structure"],"endNoteUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/article/getTxtFile.do?fileType=EndNote&id=6620","zhaiyao_en":"The paper explores the internal mechanism of artificial intelligence (AI) influencing the upgrading of industrial structure (UIS) through a theoretical model. 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来源：2022年第10期

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