摘要
将能源消费量、二氧化碳排放量、人口数量作为投入,国内生产总值（GDP）作为产出,建立一整套带有不可任意支配变量的数据包络分析（DEA）优化模型,并对各省资源配置与目标设定问题进行系统研究。实证结果表明,通过优化,各省份相对效率稳步提升,单位GDP二氧化碳与单位GDP能源消耗明显下降。
This paper systematically studies the resource allocation and goal setting of Chinese provinces by establishing a complete set of data envelopment analysis （DEA） optimization models with non arbitrary variables, which takes energy consumption, carbon dioxide emissions, and population as input, and GDP as output. The analytical results show that： through optimization, the relative efficiency of each province is steadily improved, and the carbon dioxide per unit GDP and the energy consumption per unit GDP are declined significantly.
作者
武良鹏
陈晔
徐海燕
WU Liang-peng;CHEN Ye;XU Hai-yan(College of Economics and Management, Nanfing University of Aeronautics and Astronautics, Nanjing 211106)
出处
《软科学》
CSSCI
北大核心
2018年第6期30-33,44,共5页
Soft Science
基金
国家自然科学基金项目(71471087)
关键词
资源配置
目标设定
补偿-惩罚机制
DEA
不可任意支配变量
resomce allocation
target setting
compensation and penalty mechanism
DEA
non-discretionary variable
