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广西边境口岸物流与经济增长关系的实证分析 被引量:4

Empirical Analysis of the Relationship between Border Port Logistics and Economic Growth in Guangxi
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摘要 随着中国东盟自由贸易区的建立以及"一带一路"倡议的提出,广西对外贸易得以迅速发展,边境口岸物流对带动口岸地区的经济增长发挥着越来越重要的作用。使用Eviews软件对广西东兴口岸、水口口岸、友谊关口岸、龙邦口岸等四个主要边境公路口岸2005-2017年度的生产总值、边境口岸进出口客货运量、口岸进出口总额以及公路运输里程等四个维度的面板数据进行回归分析,探析广西边境四个主要公路口岸物流和经济增长之间的关系。研究结果表明,边境口岸物流对边境地区经济增长具有促进作用,但不同地区影响程度存在较大差异,并实现广西边境口岸物流和边境地区的经济双向发展提出了相关建议。 With the establishment of China-ASEAN free trade area and the proposal of"The Belt And Road"Initiative,the foreign trade of Guangxi border ports is heating up rapidly.Over the past decade,the introduction of a series of policies has improved the development of logistics at border ports in Guangxi,driving economic growth in the port area.Based on the four main roads along the border port in Guangxi region,to find out the relationship between port logistics and economic,selected the port area GDP,border port of passenger and cargo traffic volume of import and export,import and export and the road mileage total indicators,and the logistics related to the economic index data are collected with Eviews software.To border areas first briefly introduces the present situation and problems of logistics development and economic,using regression analysis of related port logistics index and GDP data from 2005 to 2017 for empirical analysis.The results show that border port logistics can promote the economic growth of border areas,but the influence degree of different areas is different.In order to realize the two-way border port logistics and the border region of Guangxi economy development puts forward related suggestions.
作者 张俊俊 周任敏 Zhang Junjun;Zhou Renmin(Guangxi Normal University for Nationalities,Chongzuo Guangxi 532200;Dongguan Golden Eagle Storage Co.Ltd,Dongguan Guangdong 523000)
出处 《对外经贸》 2021年第8期108-111,共4页 FOREIGN ECONOMIC RELATIONS & TRADE
基金 广西民族师范学院中国—东盟跨境商贸研究中心“国际经济与贸易特色专业2019-2020教师能力提升”科研项目(项目编号:CACRC2018TP21) 广西民族师范学院“服务旅游与商贸产业群”科研项目(项目编号:Lyysmky2016005)。
关键词 边境口岸 区域物流 区域经济 面板数据 回归分析 Border Port Regional Logistics Regional Economy Panel Data Regression Analysis
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