中国能源产业效率测量及比较分析  

Comparative Study on Energy Industry Efficiency of China

作　　者：周江[1] 胡静锋[2] 王波[3] ZHOU Jiang;HU Jing-feng;WANG Bo(Sichuan Academy of Social Sciences,Chengdu 610071,China;Chongqing Academy of Social Sciences,Chongqing 400021,China;School of Economics,Sichuan University,Chengdu 610065,China)

机构地区：[1]四川省社会科学院,四川成都610071 [2]重庆社会科学院,重庆400021 [3]四川大学经济学院,四川成都610065

出　　处：《经济问题》2018年第8期60-65,共6页On Economic Problems

基　　金：国家社会科学基金重点项目"我国现代能源产业体系的理论构建与实现路径研究"(12AZD055)

摘　　要：使用我国能源产业的投入—产出数据,运用随机前沿分析(SFA)作效率计量分析,利用参数估计值进行静态规模效率分析,进而对各产业的全要素生产率变化展开技术效率变化、技术进步、规模变化三重分解分析。实证研究表明,燃气生产业呈规模递增,油气开采业和能源加工业呈规模递减,煤炭开采业和电力生产业的规模弹性为负;煤炭开采业、电力生产业和燃气生产业的全要素生产率显著增加,能源加工业的全要素生产率徘徊不前,油气开采业的全要素生产率显著减小;能源产业全要素生产率增长的贡献主要来自规模效率变化和技术进步。Based on the input-output data of China＇s five energy industries,use stochastic frontier production function model（ SFA） to measure efficiency,utilize estimation of parameter to do static analysis of scale benefit,and do triple decomposition analysis of technical efficiency change,technical progress,scale change on total factor productivity. The empirical study shows that in the analysis period,the scale elasticity of gas producing industry is increasing,the oil industry and energy processing is decline,the coal producing industry and electricity industry is negative. The TFP of coal producing industry,electricity industry and gas producing industry increased significantly,the TFP of energy processing industry stagnated,and TFP of oil industry decreased significantly. Empirical research shows improvement in TFP comes from technological progress and scale efficiency changes.

关 键 词：随机前沿分析 技术效率 规模弹性 全要素生产率 

分 类 号：F269.24[经济管理—国民经济]