经济理论与经济管理

• 理论探索 • 上一篇    下一篇

资源错配、要素市场总扭曲及福利损失测算*——基于单位要素成本的生产率分解视角

曲玥1,程文银2   

  1. 1  中国社会科学院人口与劳动经济研究;    2  清华大学公共管理学院。
  • 出版日期:2017-05-16 发布日期:2017-05-17
  • 基金资助:
    本文得到国家“万人计划”青年拔尖人才支持计划(2014年)项目、人力资源和社会保障部留学人员科技活动项目择优资助(2015年)项目、国家社科基金一般项目( 13BJY036)、中宣部全国哲学社科规划办高端智库建设项目(20155010298)的支持。

MISALLOCATION,AGGREGATE DISTORTION AND WELFARE LOSS——A Perspective of TFP Decomposition Based on Unit Factor Cost

QU Yue1,CHENG Wen-yin2   

  1. 1Institute of Population and Labor Economics,Chinese Academy of Social Sciences;
    2School of Public Policy & Management,Tsinghua University
  • Online:2017-05-16 Published:2017-05-17

摘要: 通过引入单位要素成本指标,本文对佩特兰和勒文叟汉(Petrin and Levinsohn)的生产率分解模型进行了拓展,[1]得到了一个更为准确的资源重置效应。利用2000—2007年中国规模以上制造业企业数据,经过测算显示,技术进步和要素市场总扭曲是生产率增长的主要来源;样本期间资源重置对生产率增长的平均贡献仅有324%,且日渐式微。然而资源错配造成的福利损失却依旧占制造业增加值的近2663%。这表明,在现有体制下通过市场自发调节促进要素合理配置的空间已经耗尽,经济结构呈现出一定的“固化”倾向,进一步的资源重置应来自对现有经济结构的改革,以缓解资源错配。本文最后通过测算各地区的资源重置潜力,为区域结构优化提供了一个量化参考。

关键词: 单位要素成本 , 加总生产率 , 资源错配 , 福利损失

Abstract: We extend productivity decomposition model of Petrin et al by introducing unit factor cost,and obtain a more accurate reallocation effectEmpirical results calculated with Chinas abovescale industrial firm data (2000—2007) suggest that,during the sample period,technical effect and aggregate distortion explain most of aggregate productivity growth,while reallocation effect only contributes 324% and comes to near zeroHowever,welfare loss from misallocation accounts for about 2663% of manufacturing value addedThese evidences indicate that its next to impossible to improve allocation depends only on market mechanism under existing system,and the economic structure seems to be unchangeable Further reallocation should come from the reform of existing economic structure,which helps alleviate misallocationFinally,we compute the potential of reallocation in each region,and thus provide a quantitative reference for the optimization of regional structure

Key words: unit factor cost , aggregate productivity growth , misallocation , welfare loss