摘要
工业化过程伴随着巨大的能源消耗。本文将能源、资本和劳动力视为重要的生产要素投入,利用技术可变的面板随机前沿生产模型,估算了1995-2004年我国省级的全要素生产增长率(TFPG)。进一步将TFPG分解为技术进步、技术效率和规模效率增长。结论显示:(1)样本期内能源的产出弹性显著为正,且从2002年起其产出弹性大于劳动力产出弹性。(2)我国东中西部三个地区TFPG依次递减。(3)技术进步增长是TFPG主要推动力,其次是规模效率,而技术效率对TFPG起到负的。影响,且增长逐年递减。
Since energy is largely consumed during the stage of industrialization, it should be treated as an important input together with capital and labor in the production process. This paper estimates the total factor productivity growth (TFPG) at the provincial level by applying a stochastic frontier production panel data model with time-variant technical efficiency. Furthermore, it decomposes TFPG into technical progress, technical efficiency and scale efficiency. The results demonstrate that, (1) during the sample periods, the output elasticity of energy is positive in prominence and from 2002 it surpasses that of labor; (2) The TFPG descends in the east, central and west regions in turn; (3) the technical progress contributes most to the TFPG and scale efficiency ranks second ,while the technical efficiency has a negative effect on TFPG and its growth decreases year by year.
出处
《系统工程》
CSCD
北大核心
2009年第6期8-14,共7页
Systems Engineering
基金
国家自然科学基金资助项目(7087305890510010)
关键词
能源
全要素生产率增长
面板随机前沿生产模型
Energy
Total Factor Productivity Growth
Panel Data Stochastic Frontier Production Model