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中国制造业产业集聚与全要素生产率增长——基于省际差异的研究 被引量:4

Industrial agglomeration and total factor productivity growth in China: a study based on interprovincial differences
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摘要 本文引入研发新产品销售收入为门槛变量,将制造业产业集聚度、外商直接投资、产业规模、基础设施建设、城镇化进程和全要素生产率纳入到回归模型中,分析各地区在研发新产品销售收入差别下,制造业产业集聚对全要素生产率的增长产生怎样的影响。研究表明,研发新产品销售收入带来的门槛效应存在于制造业产业集聚与全要素生产率之间,且二者呈现非线性的关系;随着研发新产品销售收入占比的增加,技术进步增长将对全要素生产率产生积极影响,当超过某一门槛值时,技术效率对全要素生产率的削弱将产生更大的影响,使得高阶段时的全要素生产率降低。 This paper takes sales revenue of R&D new products of provinces in China as threshold variables by using Hansen s panel data threshold regression model to analyse Industrial Agglomeration.This study reveals the driving force of regional economic development,and the different impact of regional industrial agglomeration on economic development under the difference of sales revenue of R&D new products in different regions. The results show that manufacturing agglomeration has a non-linear relationship with total factor productivity,as well as a threshold effect;With the increase of sales revenue of R&D new products,the growth of technological progress will have a positive impact on total factor productivity,when it exceeds a certain threshold value. At the same time,the weakening of technology efficiency will have a greater impact on TFP,which will reduce TFP at a high stage.
作者 丁文雅 张二华 DING Wen-ya;ZHANG Er-hua(Business School,Ningbo University,Ningbo 315211,China)
机构地区 宁波大学商学院
出处 《科技与管理》 2019年第5期34-40,共7页 Science-Technology and Management
关键词 制造业产业集聚 全要素生产率 研发新产品销售收入 门槛回归模型 manufacture industrial agglomeration total factor productivity growth sales revenue of R&D new products threshold regression model
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