摘要
在经济增长因素分析中,人们常将资本、劳动和能源作为投入要素。把能源要素分解为煤炭、石油、天然气和电力,根据主成分回归建立一个超越对数生产函数模型,计算各能源投入要素的产出弹性、替代弹性。结果表明:2000-2015年中国各能源要素的产出弹性逐年提高,按照平均值的大小由高到低依次为石油、煤炭、电力和天然气;2000-2015年期间各能源之间的替代弹性都大于1,按照平均值的大小由高到低依次为煤炭与天然气、石油与天然气、煤炭与电力、天然气与电力、石油与电力、煤炭与石油,但彼此相差不大。
In the analysis of economic growth factors,capital,labor and energy are considered as important input factors. Among them,the energy input consists of coal input,oil input,natural gas input and electricity input. Using the principal component regression,we established a Chinese translog production function model to estimate the output elasticity and substitution elasticity of the energy input factors. Research results show that from 2000 to 2015,the output elasticity of China energy factors rose year after year,following the order of oil,coal,electricity and natural gas in terms of mean from the highest to the lowest. From 2000 to 2015,the substitution elasticity between coal and oil,coal and natural gas,coal and electricity,oil and natural gas,oil and electricity,natural gas and electricity all exceeded 1,and in the order from the highest to the lowest,there were coal and natural gas,oil and natural gas,coal and electricity,natural gas and electricity,oil and electricity,coal and oil,with small differences.
作者
程毛林
韩云
CHENG Maolin;HAN Yun(School of Mathematics and Physics,SUST,Suzhou 215009,China;School of Business,SUST,Suzhou 215009,China)
出处
《苏州科技大学学报（自然科学版）》
CAS
2019年第1期21-27,共7页
Journal of Suzhou University of Science and Technology（Natural Science Edition）
基金
国家自然科学基金资助项目(11401418)
关键词
超越对数生产函数
主成分回归
产出弹性
替代弹性
translog production function
principal component regression
output elasticity
substitution elasticity
