摘要
基于超越对数生产函数的随机前沿模型估计2001—2015年中国工业行业的资本-劳动替代弹性,并对其影响因素进行分析,结果表明:劳动密集型行业的资本-劳动替代弹性普遍高于技术密集型行业,而后者又普遍高于资本密集型行业;行业开放程度、研发密度、产权属性、资本-劳动比、资产负债率、《劳动合同法》实施以及金融危机等因素都会影响资本-劳动替代弹性。
Based on stochastic frontier model of trans-log production function,this paper makes an estimation on the capitallabor substitution elasticity of industrial sectors in China from 2001 to 2015 and an analysis on the influencing factors. The results show that: the capital-labor substitution elasticity of most industries in the labor-intensive industry group is greater than that in technology-intensive industry group,while the latter is greater than that in capital-intensive industry group. The openness,R&D intensity,nature of property right,capital-labor ratio,debt to assets ratio of the industries,the implementation of Labor Contract Law and the financial crisis can all influence the capital-labor substitution elasticity.
出处
《南京审计大学学报》
CSSCI
2017年第5期58-69,共12页
Journal of Nanjing Audit University
基金
国家社会科学基金重点课题(15AJL013)
关键词
资本-劳动替代弹性
工业行业
超越对数生产函数
随机前沿模型
资本密集度
要素替代弹性
偏向性技术进步
经济增长
capital-labor substitution elasticity
industry
trans-log production function
stochastic frontier model
capital intensity
factor substitution elasticity
deflection-oriented technical progress
economic growth