摘要
文章利用随机前沿生产函数模型,对2001-2006年中国农垦一、二、三产业投入产出数据进行计量分析,根据回归结果,把农垦全要素生产率增长分解为前沿技术进步、相对前沿技术效率、规模经济效率和资源配置效率的变化。进一步分析发现:要素投入增长是农垦产出增长的主要动力来源,农垦全要素生产率增长和产出增长不存在显著的相关关系;农垦前沿技术进步显著,是农垦全要素生产率增长的主要源泉;二、三产业相对前沿技术效率的恶化是阻碍农垦全要素生产率增长的主要障碍。
Based on the Stochastic Frontier Production Model, this paper carries out the econometric analysis on the input-output of the three industries of China＇s State Farms through the data collected from 2001 to 2006. According to the regressive result, the Total Factor Productivity Growth was divided into technological progress, technical efficiency, allocative efficiency and scale economy. Through further analysis,it is found that the growth of input is the prime motive for the output increase of State Farms. Besides, this paper shows that there is no remarkable correlation between the acceleration of total factor productivity and output of State Farms. Rapid strides have been made in frontier technology of State Farms, which is the essential motive for the growth of total factor productivity of State Farms. The main stumbling blocks for the increasing of total factor productivity of State Farms is the exacerbation of the technical efficiency relative to the Frontier in the second and the tertiary industries.
出处
《华中农业大学学报（社会科学版）》
2009年第2期16-21,共6页
Journal of Huazhong Agricultural University(Social Sciences Edition)
关键词
中国农垦
全要素生产率
随机前沿生产函数模型
China＇s state farms
total factor productivity
stochastic frontier production Model
