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暨南学报(哲学社会科学版)

北大核心,CSSCI,AMI核心

国内刊号:44-1285/C

国际刊号:1000-5072

暨南学报(哲学社会科学版)杂志2025年第4期:海上风电产业竞争力评价与产业升级——基于微观风电场数据

发布日期:

作者:周婷, 周昌仕

单位:广东海洋大学商学院。

关键词:海上风电产业,TOPSIS熵值法,产业竞争力,产业升级,风电场

基金:广东省哲学社会科学规划项目“‘双碳’目标下构建广东省海上风电现代产业体系路径研究——以阳江市为例”(GD23YDXZGL03);广东海洋大学人文社会科学研究项目“广东沿海经济带经济综合实力评价研究”(2023031);广东海洋大学科研启动项目“我国现代海洋新能源产业体系构建:理论、实证与路径研究”(YJR23008)。

党的二十大报告指出,“发展海洋经济,保护海洋生态环境,加快建设海洋强国”。为系统研判中国海上风电现代产业体系发展现状及其产业竞争力,以中国东南沿海粤、苏、浙、闽四省为研究样本,搜集东南沿海四个省份共48个投产运营海上风电场的微观数据,运用层次分析法和TOPSIS熵值法,构建“资源禀赋、绿色产出、技术创新、企业发展、经济基础”五个维度的风电产业竞争力评价模型,深度解析海上风电产业竞争力演变与未来产业升级发展趋势。结果表明:(1)在海上风电产业竞争力评价指标体系中,企业发展指标权重居首位,经济基础指标居其次,绿色产出位居第三,技术创新和资源禀赋指标权重依次降低。(2)东南沿海四个省份海上风电产业竞争力最强的是广东,其次为江苏,浙江紧随其后。(3)结合省域实际可见,优化海上风电场空间布局、完善产业链配套体系、坚持技术创新引领、扩大国内外市场需求是实现海上风电产业升级的重要路径。"/>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":["广东省哲学社会科学规划项目“‘双碳’目标下构建广东省海上风电现代产业体系路径研究——以阳江市为例”(GD23YDXZGL03);广东海洋大学人文社会科学研究项目“广东沿海经济带经济综合实力评价研究”(2023031);广东海洋大学科研启动项目“我国现代海洋新能源产业体系构建:理论、实证与路径研究”(YJR23008)。"],"article":{"keywordList_cn":["海上风电产业","TOPSIS熵值法","产业竞争力","产业升级","风电场"],"juan":"47","zhaiyao_cn":"党的二十大报告指出,“发展海洋经济,保护海洋生态环境,加快建设海洋强国”。为系统研判中国海上风电现代产业体系发展现状及其产业竞争力,以中国东南沿海粤、苏、浙、闽四省为研究样本,搜集东南沿海四个省份共48个投产运营海上风电场的微观数据,运用层次分析法和TOPSIS熵值法,构建“资源禀赋、绿色产出、技术创新、企业发展、经济基础”五个维度的风电产业竞争力评价模型,深度解析海上风电产业竞争力演变与未来产业升级发展趋势。结果表明:(1)在海上风电产业竞争力评价指标体系中,企业发展指标权重居首位,经济基础指标居其次,绿色产出位居第三,技术创新和资源禀赋指标权重依次降低。(2)东南沿海四个省份海上风电产业竞争力最强的是广东,其次为江苏,浙江紧随其后。(3)结合省域实际可见,优化海上风电场空间布局、完善产业链配套体系、坚持技术创新引领、扩大国内外市场需求是实现海上风电产业升级的重要路径。","endNoteUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/article/getTxtFile.do?fileType=EndNote&id=7212","reference":"","bibtexUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/article/getTxtFile.do?fileType=BibTeX&id=7212","abstractUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/10.11778/j.jnxb.20241416","qi":"4","id":7212,"nian":2025,"bianHao":"1751353169214-174064051","zuoZheEn_L":"ZHOU Ting, ZHOU Changshi","juanUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/Y2025","shouCiFaBuRiQi":"2025-07-01","qiShiYe":"181","qiUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/Y2025/V47/I4","lanMu_cn":"海洋强国建设","pdfSize":"697","zuoZhe_CN":"周婷, 周昌仕","risUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/article/getTxtFile.do?fileType=Ris&id=7212","title_cn":"海上风电产业竞争力评价与产业升级——基于微观风电场数据","doi":"10.11778/j.jnxb.20241416","jieShuYe":"196","keywordList_en":["offshore wind power industry","TOPSIS entropy method","industrial competitiveness evaluation","industrial upgrading","wind farm"],"endNoteUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/article/getTxtFile.do?fileType=EndNote&id=7212","zhaiyao_en":"The report to the 20th National Congress of the Communist Party of China (CPC) pointed out, “We will develop the marine economy, protect the marine ecological environment, and step up efforts to build China into a strong maritime country.” In recent years, China's marine economic development has achieved great results. Marine emerging industries, represented by offshore wind power, have continuously gathered energy and gradually become an important growth pole of China's national economy. Against this background, the development of the offshore wind power industry needs to be upgraded to high-quality development in an orderly manner. However, there is a great lack of studies on empirical research and competitiveness evaluation of the offshore wind power industry in several coastal provinces based on actual data from wind farm projects, especially in terms of industrial evaluation standards and in-depth research on industrial upgrading.This study selects 48 offshore wind farms that have been put into operation in four provinces along the southeast coast of China, namely, Guangdong, Jiangsu, Zhejiang, and Fujian. It uses the China Industrial Enterprise Database, the China Customs Import and Export Enterprise Database, the Ministry of Commerce's Foreign Investment Enterprise (Institution) Directory, and the World Input-Output Database (WIOD). Drawing on the upstream index of Antràs et al. (2012) and Chor et al. (2014), it comprehensively applies the analytic hierarchy process and the TOPSIS entropy method to explore the competitiveness of the offshore wind power industry in the southeast coastal region. Additionally, it analyzes the competitiveness evolution and future development trends of the offshore wind power industry from the aspects of the establishment of the research index system, data processing and analysis, and conclusions and suggestions. Specifically, in the competitiveness evaluation index system of the offshore wind power industry in the southeast coastal provinces, the enterprise development has the highest weight, followed by economic foundation and green output. Among the southeast coastal provinces, Guangdong has the strongest competitiveness in the offshore wind power industry, followed by Jiangsu and Zhejiang.Compared with previous literature, this paper makes the following expansions. First, it explores the theoretical mechanism affecting the competitiveness of the offshore wind power industry and constructs a regional industrial competitiveness evaluation model with five dimensions: economic foundation, enterprise development, technological innovation, resource endowment, and green output. Second, the assessment focuses on calculating the weight of each dimension and measures the evaluation values of wind power projects at the five-dimensional level, empirically analyzing the different result characteristics of the offshore wind power industry in different regions. Third, it puts forward suggestions related to industrial upgrading, such as improving the spatial layout of offshore wind power, expanding domestic and international market demand, promoting the integrated development of the industrial chain, and adhering to leading technological innovation.To a certain extent, this study reveals the internal logic of the evolution and development of China's offshore wind power industry's competitiveness. It helps government bodies deploy relevant offshore wind power industry upgrading policies under the strategic goal of building a strong marine country. Additionally, it provides differentiated theoretical research and basic support for the different industrial layout and division of labor of offshore wind power in the southeast coastal region of China, thus providing better guidance on the high-quality development of the offshore wind power industry.","bibtexUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/article/getTxtFile.do?fileType=BibTeX&id=7212","abstractUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/10.11778/j.jnxb.20241416","zuoZheCn_L":"周婷, 周昌仕","juanUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/Y2025","lanMu_en":"","qiUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/Y2025/V47/I4","zuoZhe_EN":"ZHOU Ting, ZHOU Changshi","risUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/article/getTxtFile.do?fileType=Ris&id=7212","title_en":"Competitiveness Evaluation and Industry Upgrading of the Offshore Wind Power Industry: Based on Micro-Level Wind Farm Data","hasPdf":"true"},"authorNotes_cn":["周婷、周昌仕,广东海洋大学商学院。"]};if(window.metaData && (!window.metaData.authorNotesCommon_cn && !window.metaData.authorNotesCorresp_cn && window.metaData.authorNotes_cn)){window.metaData.authorNotesCommon_cn = window.metaData.authorNotes_cn;}if(window.metaData && (!window.metaData.authorNotesCommon_en && !window.metaData.authorNotesCorresp_en && window.metaData.authorNotes_en)){window.metaData.authorNotesCommon_en = window.metaData.authorNotes_en;}var _nlmdtdXml = $("#article_nlmdtdXml").val();var magDir = _nlmdtdXml.replace(/\/[^\/]+$/,'');window.metaData.magDir = magDir;new mag_vue({ el: '#metaVue', //dataUrl: mag_currentQikanUrl() + '/EN/article/getRichHtmlJson.do?articleId='+$("#articleId").val(), data:window.metaData, loading:true, doTextFun:function(text){ return doDataJsonText(text); 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