摘要
本文以内蒙古为例,使用随机前沿模型,估算了不同地区的技术效率,并对全要素生产率(TFP)增长率进行分解。研究结果表明:(1)技术效率和TFP与一个地区的经济增长呈正向变动关系。(2)城市化率、第二产业占GDP比重、人力资本水平等提高技术效率,国有工业产值和财政支出占GDP比重降低了技术效率。(3)整体而言,各地区TFP增长主要依靠技术进步,技术效率和规模经济效率都显著不足。
By using stochastic frontier analysis and taking Inner Mongolia as an example,this paper estimated the technical efficiency function and decomposed the total factor productivity growth.The main findings are as follows:(1) the technical efficiency and TFP growth rate are positively related with the economic growth;(2) the factors such as urbanization,industrialization,and human resource increase the technical efficiency,and other factors such as the share of state-owned enterprises and the ratio of fiscal expenditure in GDP decrease the technical efficiency;(3) the technological progress is the main driving force for TFP growth,and the contributions of the technical efficiency and scale economy effect to the growth are much less.
出处
《经济理论与经济管理》
CSSCI
北大核心
2011年第5期90-97,共8页
Economic Theory and Business Management
基金
国家自然科学基金项目(70763005)
教育部新世纪优秀人才计划项目(NCET-09-0855)
内蒙古大学文科学术创新团队资助项目(121106-14)
关键词
随机前沿模型
超越对数生产函数
技术效率
全要素生产率
stochastic frontier analysis
trans-log production function
technical efficiency
total factor productivity(TFP)