Article(id=1242138439362093221, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242138422521967171, articleNumber=null, orderNo=15, doi=10.3981/j.issn.1000-7857.2020.13.012, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1560700800000, receivedDateStr=2019-06-17, revisedDate=1574352000000, revisedDateStr=2019-11-22, acceptedDate=null, acceptedDateStr=null, onlineDate=1596614041223, onlineDateStr=2020-08-05, pubDate=1594569600000, pubDateStr=2020-07-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1596614041223, onlineIssueDateStr=2020-08-05, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078481757, creator=sys-migrate, updateTime=1774078481757, updator=sys-migrate, issue=Issue{id=1242138422521967171, tenantId=1146029695717560320, journalId=1146031591421210625, year='2020', volume='38', issue='13', pageStart='1', pageEnd='148', issueExtLink='null', onlineDate='null', pubDate='1594569600000', pubDateStr='2020-07-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078477741, creator='sys-migrate', updateTime=1774078477741, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=104, endPage=112, ext={EN=ArticleExt(id=1242138441899647162, articleId=1242138439362093221, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=A comparative study of the contribution of talent resources to economy in typical national high-tech zones, columnId=1150494644690366681, journalTitle=Science & Technology Review, columnName=Papers, runingTitle=null, highlight=null, articleAbstract=Based on the classical Cobb-Douglas production function, a potential analysis model is used to improve the measurement method of the talent contribution rate, to overcome the defect that the original model could not measure the instantaneous elasticity coefficient, and to improve the accuracy of the estimation at the same time. The multivariate regression analysis of the panel data of six typical national high-tech zones shows that the main factor affecting the contribution rate of the talents is the quality of the talents, and the key to improving the quality of the talents is to create a good soft environment for the talent development. Through the empirical comparison analysis of six high-tech zones, the driving factors affecting the talent contribution rate are explored, and suggestions for the formulation of high-tech zone policies are put forward., authors=WANG Kaile, XIONG Yonglan, GONG Qingbin, authorsList=WANG Kaile, XIONG Yonglan, GONG Qingbin, authorCompany=Chengdu Library and Information Center, Chinese Academy of Sciences, Chengdu 610041, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=4sIDKlHLiFDApObx1106oQ==, pdfFileSize=1364072, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242138441035625149, articleId=1242138439362093221, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=典型国家级高新区人才资源对经济贡献的对比, columnId=1146540929516700224, journalTitle=科技导报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=基于经典柯布-道格拉斯生产函数，利用势分析模型对人才贡献率测度方法进行改进，克服了原模型不能测算即时弹性系数的缺陷，同时提高了估计的准确度；对6个典型国家级高新区面板数据进行多元回归分析，结果表明：影响人才贡献率的主要因素是人才质量，而提高人才质量的关键在于营造良好的人才发展软环境；通过6个高新区的实证对比分析探索影响人才贡献率的驱动因子，并在此基础上针对高新区政策制定提出建议。, authors=王恺乐, 熊永兰, 宫庆彬, authorsList=王恺乐, 熊永兰, 宫庆彬, authorCompany=中国科学院成都文献情报中心, 成都 610041, correspAuthors=null, authorNote=王恺乐,助理研究员,研究方向为科技和人才政策与管理,电子信箱:wangkl@clas.ac.cn, correspAuthorsNote=熊永兰(通信作者),副研究员,研究方向为科技政策、科技人才管理,电子信箱:xiongyl@clas.ac.cn, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=WhkU0jmABtBmddvdtCqhRA==, pdfFileSize=1364072, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=中国科学院战略研究与决策支持系统建设专项（GHJ-ZLZX-2019-31）；中国科学院成都文献情报中心十三五规划专项（Y8ZO361004）；中国科学院成都文献情报中心主任基金项目（Y8Z0371006）)}, authors=null, keywords=[Keyword(id=1242138440725246650, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242138439362093221, language=CN, orderNo=1, keyword=人才贡献率), Keyword(id=1242138440800744122, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242138439362093221, language=CN, orderNo=1, keyword=高新区), Keyword(id=1242138440884630204, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242138439362093221, language=CN, orderNo=1, keyword=人才资源), Keyword(id=1242138441580880055, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242138439362093221, language=EN, orderNo=1, keyword=talent contribution rate), Keyword(id=1242138441664766136, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242138439362093221, language=EN, orderNo=1, 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