摘要
在相关文献分析的基础上提出了城镇化与物流绿色全要素生产率非线性关系的假设。收集了2008-2017年30个省级行政区的面板数据,构建面板门槛模型,以交通基础设施水平为门槛变量,分区域研究城镇化与物流绿色全要素生产率的关系。结果表明:在交通基础设施水平的影响下,全国区域、东部和中部地区的城镇化与物流绿色全要素生产率的关系表现出显著的区间效应。当交通基础设施处于低和较低水平区间时,两者为负相关,而处于较高和高水平区间时,两者为正相关,这与国内外部分学者提出的单纯正相关或单纯负相关结果相悖。西部地区的城镇化与物流绿色全要素生产率则呈负相关。基于研究结论,为城镇化建设进程中提高物流绿色全要素生产率提出相应的对策建议。
Based on the analysis of related literature,this paper proposes the assumption of non-linear relationship between urbanization and total factor productivity of logistics.By collecting panel data of 30 provincial administrative regions from 2008 to 2018,using the traffic infrastructure level as the threshold variable and constructing the threshold panel model,the relationship of urbanization rate and logistics green total factor productivity is analyzed.The results show that the urbanization rate and logistics green total factor productivity present significantly interval effect due to different traffic infrastructure level,no matter in the national,eastern or central regions.The two are negatively correlated when the traffic infrastructure is in the low-level range,and are positively correlated when the traffic infrastructure level is in the middle and high-level range,which is contrary to the results of pure positive or negative correlation proposed by some domestic or abroad scholars.Urbanization in the west is negatively correlated with green logistics total factor productivity.Based on the research conclusion,this paper puts forward relative countermeasures and suggestions for improving logistics green total factor productivity in urbanization construction.
作者
刘浩华
陈秀玲
王雪峰
LIU Haohua;CHEN Xiuling;WANG Xuefeng(School of Business Administration,Jiangxi University of Finance and Economics,Nanchang 330032,China)
出处
《经济与管理评论》
CSSCI
北大核心
2020年第2期123-132,共10页
Review of Economy and Management
基金
国家自然科学基金项目“城乡统筹生活垃圾收运物流系统优化中的设施选址——车辆路径问题研究”(71862016)
福建省社科联青年项目“福建省物流业效率动态和空间演进研究”(FJ2017C080)。
关键词
城镇化
物流绿色全要素生产率
交通基础设施
面板门槛模型
Urbanization
Total factor productivity of logistics
Traffic infrastructure
Panel threshold model