Abstract

Taking the regional logistics of Guangdong Province as the research object, this paper uses the relevant data of logistics and economy of Guangdong Province from 2015 to 2019, and applies the grey correlation analysis method to study the correlation degree between the relevant indicators of economic development of Guangdong Province and the development level of regional logistics. Through quantitative calculation, it clearly shows the relevant economic factors that have a greater impact on regional logistics, and provides good suggestions and Countermeasures for the healthy development of regional logistics.

Highlights

  • Logistics system is a subsystem of social economic system, which plays a very important role in regional economic system

  • Regional logistics is an important part of regional economy, which will provide a good platform for the development of regional economy and promote the rapid development of regional economy

  • The results show that regional economy and logistics industry influence and promote each other; Macuilis qualitatively analyzes the relationship between logistics infrastructure investment

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Summary

INTRODUCTION

Logistics system is a subsystem of social economic system, which plays a very important role in regional economic system. The development of regional economy will promote the demand market of regional logistics and the development of regional logistics. In the study of the relationship between regional logistics and regional economy, it is suitable to use grey correlation analysis method to compare the relationship between the two. This paper uses this method to quantitatively analyze the relationship between regional logistics and various economic indicators in Guangdong Province, and puts forward some opinions and suggestions, which has certain practical significance for the scientific and reasonable development of regional logistics in Guangdong Province

Literature review
Research Methods
Selection of regional logistics economic factors in Guangdong Province
Findings
Conclusions and Suggestions
Full Text
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