中国产业间的技术溢出效应:基于35个工业部门的经验研究 阅读全文
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Title | Inter-industry Technology Spillover Effects in China:Evidence from 35 industry sectors
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作者 | 潘文卿 李子奈 刘强 |
Author | Pan Wenqing, Li Zinai and Liu Qiang |
作者单位 | 清华大学经济管理学院 |
Organization | School of Economics, Tsinghua University |
作者Email | panwq@sem.tsinghua.edu.cn; lizinai@mail.tsinghua.edu.cn |
中文关键词 | 产业相似度 技术溢出效应 间接 面板数据模型 |
Key Words | Industries’ Similarity; Technology Spillover; Indirect R&D; Panel Data Model |
内容提要 | 本文利用中国1997年、2002年、2007年投入产出表,测算了35个工业部门1997—2008年历年的产业相似度矩阵,并以此为权数构建了衡量产业间技术溢出的指标。通过将产业间技术溢出指标引入到产业部门的生产函数当中,分析了产业间技术溢出对中国工业部门劳动生产率的影响。结果表明:产业部门间的技术溢出对工业各部门劳动生产率有着显著的正面影响,产业间技术溢出的生产率弹性值约为0.294,高出各产业直接R&D投入的影响。固定窗宽的滚动估计表明,随着时间的推移,35个工业产业部门的产业间技术溢出效应呈扩大趋势;而对相似性聚类后的4大类产业的进一步分析表明,同一相似类内部产业之间技术溢出效应比4类之间的技术溢出效应平均说来更加显著一些。 |
Abstract | Based on the IO table of year 1997, 2002 and 2007, this paper calculate the industries’ similarity matrix and conceive a new variable measuring the inter-industry technology spillover. Using a sample of 35 industries ranging from 1997 to 2008 and by incorporating the newly conceived variable into the production function, we focus on the analysis of inter-industry spillover effects on the productivity of industries. The empirical analysis shows that inter-industry technology spillover has a significantly positive impact on the productivity of each industry. The marginal effect of technology spillover on industry’s productivity is 0.294, which is larger than that of the direct R&D. The scrolling-regression with fixed window width also shows the expand trend of the inter-industry spillover effects. What’s more, after analyzing the four clustering industries, we found that the inter-industry spillover effects within the same cluster were much stronger than the spillover effect between different clusters. |
文章编号 | WP23 |
登载时间 | 2010-12-03 |
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