摘要
本文在对投入要素质量进行刻画的基础上构建资源错配模型,得到对全要素生产率更为细致的因素分解,利用中国1996-2012年八大行业的面板数据测算了各行业资本和劳动错配变动对经济增长的正负作用,并考察了要素质量提升对经济增长的相对影响。我们发现:要素错配变动效应和要素质量提升对经济增长影响重大,其中工业的资本错配变动效应最大,是经济中资本错配变动效应的主要来源;农业和其他服务业的劳动错配变动效应最大;相比于资本错配状态的大幅度改善,各行业劳动错配状态仍存在改善空间。因此,继续增强对各投入要素市场的改革力度、进一步降低资本和劳动的流动障碍将会促进要素配置效率和要素质量的提升,进而释放新的增长动力。
This article builds a resource misallocation model based on the characterization of input factor quality,and obtains a more detailed factor decomposition of total factor productivity. We use China’s panel data of eight industries from 1996 to 2012 to study the positive and negative effects of capital and labor misallocation on economic growth,and examine the relative impact of factor quality improvement on economic growth. We find that factor misallocation change and factor quality improvement have significant impacts on economic growth, and the effect of capital misallocation in industry is the largest,which is the main source of the misallocation effect of capital in the economy;the labor misallocation effect of agriculture and service industries is the biggest. Compared with the substantial improvement of capital misallocation,there is still room for improvement of labor misallocation. Therefore,continuing strengthening the reform of input factor market and reducing the mobility barriers of capital and labor will promote the efficiency of factor allocation and the improvement of factor quality,and release new growth momentum.
作者
张屹山
胡茜
Zhang Yishan;Hu Qian(Quantitative Economics Center of Jilin University;Business School of Jilin University)
出处
《经济评论》
CSSCI
北大核心
2019年第1期61-74,共14页
Economic Review
关键词
要素质量
资本服务量
资源错配
全要素生产率分解
Factor Quality
Capital Services
Resource Misallocation
Total Factor Productivity Decomposition
作者简介
张屹山,吉林大学数量经济研究中心,邮政编码:130012,电子信箱:yishan@jlu.edu.cn;胡茜,吉林大学商学院,邮政编码:130012,电子信箱:huqian15@mails.jlu.edu.cn。
