摘要
长期以来,有关中国能源开采产业效率的研究常在与其它工业行业相同的框架下进行,而忽略了该行业的"异质性"问题。本文基于成本函数的对偶测度方法,将能源开采业中资源耗减、资本投入产出滞后和需求因素纳入其全要素生产率测度框架,构建了包括传统的技术进步和规模报酬在内的更为全面的全要素生产率测度框架;并以煤炭行业和石油与天然气行业为例,以1999—2010年省级面板数据为样本进行了实证研究。结果表明:资源耗减和产出滞后因素对TFP影响显著,纳入这两个因素的测度模型具有相对更优的统计性质,而忽略这两个因素将使结果出现偏差;且样本期间两行业的生产效率均具有显著增长,年均增长率分别达17.00%和3.88%,其中需求和规模报酬对其增长贡献最大。
For a long time,the research on TFP of Chinese energy mining industry usually uses the same framework as the other Industries, and ignoring its characteristics. Based on the cost function dual measurement methods, adding the special factors of resource depletion and production lags of capital investment and demand, the paper constructs a more comprehensive productivity measurement framework which includes the traditional factors of technical progress and return of scale. And taking the coal industry and the oil and gas industry for example, it makes an empirical research basing on the 1999--2010 provincial panel data sample. The results show that： the faetors of resource depletion and production lags of capital are statistically significant. Meanwhile, the statistieal properties of model added the two factors are better, and it may lead to misestimate the total factor productivity ignoring the two factors. In the sample period, the TFP of the two industry has a significant growth, with an average annual growth rate of 17.00% and 3.88% respectively, which demand growth and returns to scale make the greatest contribution to its growth.
出处
《经济研究》
CSSCI
北大核心
2013年第6期127-140,共14页
Economic Research Journal
基金
国家社会科学基金重点项目(08AJL009)和一般项目(08BJL041)
教育部新世纪优秀人才支持计划(NCET-10-0563)
上海市曙光计划项目(10SG42)
上海财经大学"211"四期项目和重大支持项目
上海师范大学重大预研究项目(A-0502-00-006002)的资助
关键词
全要素生产率
资源耗减
资本投入产出滞后
需求
规模报酬
Total Factor Productivity
Resource Depletion
Production Lags of Capital Investment
Demand
Return to Scale
作者简介
电子信箱：wkqlhm@163．com
yunyins0156@163．com；
刘红梅，上海师范大学商学院，邮政编码：200234，电子信箱：hmliu@shnu．edu．cn。
