摘要
中国目前处于能源消费的黄金期,能源问题在中国存在能源分布和能源消费两个非均衡问题。由于各地所处的工业化时期不同,能源消费差异较大。依据区域分工可协调的理论,提出对区域经济进行重新协调分工,可以改进能源效率、降低能源消费,并利用我国各地区的统计数据,计算出各地区位商,以区位商代表区域分工作为解释变量,能源消费比为被解释变量建立SVAR模型与SVAR脉冲响应函数,得出区域分工与能源消耗成负相关关系。
Chirm's current energy consumption is in the golden period, and there are two unbalanced problems in China, one is that the energy consumption is not balanced; the other is that there is different of energy consumption in different area, be- cause the industrialization of each district is different. Based on the theory of regional division of labor can be coordina- ted, this paper raises to coordination of regional economic division can improve energy efficiency and reduce energy con- sumption. In this view, and by using the regional statistics, this paper calculates the location quotient, location quotient on behalf of the regional division of labor as the explained variable, energy consumption than to be explained variable SVAR model is set up with SVAR impulse response function, it is concluded that regional division of labor and a nega- tive correlation relationship with energy consumption.
出处
《湖南财政经济学院学报》
2014年第5期137-143,共7页
Journal of Hunan University of Finance and Economics
基金
山东省教育厅项目"人口城市化对城市服务业的冲击研究"(项目编号:J12WJ20)
国家社科基金项目"经济文化变迁
分化与整合视域下我国新农村建设研究"(项目编号:13BJL063)
教育部项目"劳动力迁徙决策及流动研究:基于高等教育空间集聚的视角"(项目编号:11YJA840019)
关键词
区域分工
区位商
能源消费
SVAR模型
脉冲响应函数
regional division
location quotient
energy consumption
SVAR model
pulse effect function