摘要
文章利用面板单位根与协整分析技术构建面板数据模型,以浙江为例,对服务业分行业的全要素生产率进行估算,在此基础上分析了各行业全要素生产率的增长率及对产出的贡献率。研究结果表明,相比资本密集型行业,劳动密集型和知识密集型行业资本弹性系数小于劳动力弹性系数;相比生活型服务业,生产型服务业的全要素生产率的增长率较快,对产出的贡献率较高;服务业分行业的全要素生产率的增长率及对产出的贡献率呈现不断提高态势。
In this paper, we establish a Panel Date model using panel unit root test and panel cointegration test. We estimate the Total Factor Productivity (TFP) of various departments in Zhejiang service industries by applying this model, and then analyze the TFP growth ratio and its contribution to output. The result shows that: Relative to the capital-intensive industry, the capital output elastic coefficient of labor-intensive and knowledge-intensive industries is less than the labor output elastic coefficient; Relative to the life service industry, the TFP growth in producer services is faster and the contribution to output is greater; On the whole, the TFP growth ratio and its contribution to output in various departments of Zhejiang service industries are increasing.
出处
《商业经济与管理》
CSSCI
北大核心
2010年第11期61-68,共8页
Journal of Business Economics
关键词
全要素生产率
面板数据模型
面板协整
total factor productivity
panel data model
panel eointegration