摘要
分析产能过剩到供给侧改革各阶段一般制造业全要素生产率变化有助于推进改革的实施。以北京一般制造业为研究对象,选取涵盖产能过剩和供给侧改革四个阶段的2000—2014年18个细分产业面板数据,经三轮逐步估计并进行模型结构形式检验,建立随机前沿生产函数对全要素生产率及分解效率进行探讨。研究发现,北京一般制造业全要素生产率大幅下滑,年均下降1.5%,主要源于技术效率和技术进步的不断恶化;四个阶段中基础制造业的全要素生产率都大幅高于都市制造业,源于基础制造业有较高的资本产出弹性和技术效率;各细分产业的全要素生产率差异较大,主要源于技术效率的差异。
Analyzing the total factor productivity changes of general manufacturing industry from excess capacity to supply-side structural reform contributes to advance its reforms.Choose the general manufacturing industry in Beijing as research object,select input and output panel data of 18 segment industries from 2000-2014,and adopt stochastic frontier analysis method to analyze the changes of total factor productivity and decomposition efficiency.The results show that the total factor productivity of the general manufacturing industry in Beijing significantly decreases in excess capacity period,average annual decline of 1.5%,due to sharp decline of technical efficiency and technical change.The total factor productivity of the basic manufacturing industry is much higher than the urban manufacturing industry in the four stages of excess capacity period resulting from high capital elasticity of output and technical efficiency.Big differences exist in total factor productivity of 18 segment industries because of differences in technical efficiency and scale efficiency,but they have similar pace of technical change.
出处
《统计与信息论坛》
CSSCI
北大核心
2018年第2期51-58,共8页
Journal of Statistics and Information
基金
北京市社会科学基金项目<北京市产业升级与产业安全研究>(14JGA014)
中央高校基本科研业务费资助项目<中国粮食安全综合评价与预测研究>(FRF-BY-17-033)
国家社会科学基金项目<中国新疆周边国家经济安全机制比较与整合研究>(14ZDA088)
关键词
产能过剩
供给侧改革
全要素生产率
一般制造业
随机前沿分析
excess capacity
supply-side structural reform
total factor productivity
general manufacturing industry
stochastic frontier analysis
