基于灰色预测和因子分析的沿边城市经济发展研究——以成兰铁路沿线8城市为例  被引量:1

Research on the Economic Development of Border Cities Based on Grey Prediction and Factor Analysis——Take eight cities of Chenglan railway as an example

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作  者:闾宇 伍曹溶 李爱民[1] 

机构地区:[1]四川文理学院数学学院,四川达州635000

出  处:《科技和产业》2017年第3期10-13,44,共5页Science Technology and Industry

基  金:四川省级大学生创新创业训练计划项目(201610644026);四川文理学院教育教学改革研究项目(2013JY11)

摘  要:以成兰铁路(四川段)沿线8个重要城市为例,根据衡量经济状况的有关指标,首先利用灰色预测,通过近几年各个城市GDP的综合数据,预测出未来十年各个城市的综合经济状况,进一步说明成兰铁路的修建对沿线城市带来的经济效益。其次,考虑到一个城市的交通与众多经济因素有关,采用因子分析研究多种变量之间的内部依赖关系,进而确定每个城市的发展方向。最后结合各个城市的现状,提出合理的建议。In this paper,the eight major cities in Sichuan province along ChengLan Railway are taken as an example,according to the relevant measure of economic status,firstly,by using grey prediction,the comprehensive economic situation of each city in the next ten years is predicted through comprehensive GDP data in recent years,it further tells its economic benefits brought by ChengLan Railway.Secondly,considering the relation of city traffic and many economy factors,internal dependencies of multiple variables are studied by using factor analysis and the direction of development of each city is determined.Finally,we put forward reasonable suggestions with the current situation of each city.

关 键 词:经济综合实力 灰色预测 因子分析 

分 类 号:F127[经济管理—世界经济]

 

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