基于环渤海地区的产业结构调整的能源消费效应分析  

The Effect of Industrial Restructuring on Energy Consumption Based on Huan Bo Hai Region

作　　者：刘亚清[1] 闫洪举 LIU Ya-qing;YAN Hong-ju(School of Economics and Management, North China University of Technology, Beijing 100144, China;School of Economics, Huazhong University of Science and Technology,Wuhan 430074,China)

机构地区：[1]北方工业大学经济管理学院,北京100144 [2]华中科技大学经济学院,湖北武汉430074

出　　处：《系统工程》2018年第2期121-129,共9页Systems Engineering

基　　金：2018年北京市教委基本科研业务费项目--区域产业结构优化与生态环境协同发展研究;国家自然科学基金资助项目(71301002)

摘　　要：本文构建了纳入时间、个体交互项的空间面板数据模型,以分析环渤海地区的产业结构调整对能源消费的影响。基于交互效应空间面板数据模型不仅探究了产业结构调整的能源消费效应,同时分析了能源消费的空间效应以及共同因子对不同区域单元能源消费的差异影响。实证结果表明,环渤海地区能源消费存在显著的空间相关性。同时,产业结构高级化进程可以有效降低能源消费,但产业结构合理化未能起到降低能源消费的作用,经济增长是造成能源消费增加的主要因素。居民和企业能源消费偏好、意识等社会因素也成为近年来能源消费水平提高的一个重要因素。This paper incorporates the time and individual interaction effects into the existing spatial panel data model, building interactive effects spatial panel data model to reflect the influence of industrial restructuring on energy consump- tion in Huan Bo Hai Region. This can explore not only the effects of industrial restructuring on energy consumption, but also the spatial effects of energy consumption and different influences of common factors on different individuals. At the same time, we construct the nonlinear instrumental variables and orthogonal transformation to estimate interactive effects spatial panel model. Results show that, there＇s obvious spatial correlation for energy consumption in Huan Bo HaL In addition, the process of advanced industrial structure can reduce energy consumption, but the process of industrial struc- ture cannot reduce the energy consumption. Also, economic growth is a main factor that increase energy consumption. At last, social factors like consumer preference or consciousness become an important factor in the improvement of energy consumption in recent years.

关 键 词：产业结构调整 能源消费 空间面板数据模型 交互效应 

分 类 号：F063[经济管理—政治经济学]