引用本文:
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 754次   下载 345 本文二维码信息
码上扫一扫!
分享到: 微信 更多
京津冀城镇化对其物流业能耗变动的影响研究
韩蕾1,刘海英2
(1.中国石油大学(华东) 审计处,山东 青岛 266580;2.山东大学 管理学院, 山东 济南 250100)
摘要:
将城镇化对物流业能耗变动的影响纳入IPAT模型中,应用LMDI分解方法将城镇化对物流业能耗变动的影响分解为人口聚集效应、产业结构效应、能耗规模效应、经济增长效应、空间结构效应、交通拥堵效应和交通基础设施建设效应,能规避用总量指标衡量城镇化所带来的研究结论过于宏观的弊端。研究发现,考察期内京津冀地区物流业能耗持续增长,经济增长、交通基础设施建设是物流业能耗增长的最重要因素,但城镇化其他因素对各省市的影响并不完全一致。为降低物流业能耗,京津冀地区应根据本地区物流业能耗特点采取相应的措施。
关键词:  京津冀  能耗变动  城镇化  影响因素
DOI:10.13216/j.cnki.upcjess.2018.06.0007
分类号:X24; F291
基金项目:山东省社科联人文社会科学课题(17-ZX-LT-01)
The Impact of Urbanization on Energy Consumption of Logistics in Beijing-Tianjin-Hebei
HAN Lei1, LIU Haiying2
(1.Audit Department, China University of Petroleum(East China), Qingdao, Shandong 266580, China;2.School of Management, Shandong University, Jinan, Shandong 250100, China)
Abstract:
The impact of urbanization on energy consumption change of logistics industry is brought into IPAT model. The effect of urbanization on energy consumption change of logistics industry is decomposed into population aggregation effect, industrial structure effect, energy consumption scale effect, economic growth effect, spatial structure effect, traffic congestion effect and traffic infrastructure construction effect by LMDI decomposition method. It can avoid the drawback that the conclusion of urbanization is too macroscopic. The study finds that the energy consumption of logistics industry in Beijing-Tianjin-Hebei is increasing continuously, and that the economic growth and the construction of transportation infrastructure are the most important factors in the growth of energy consumption of logistics industry during the period of investigation, but the influence of other factors of urbanization on the provinces is not completely consistent. Based on this, some suggestions are put forward to reduce the energy consumption of logistics industry in various provinces and cities.
Key words:  Beijing-Tianjin-Hebei  energy consumption change  urbanization  impact factors