Measurement and Analysis of Manufacturing Industry Agglomeration in Wuhan Based on the Big Data Analysis Method

DOI

10.2991/978-94-6463-030-5_75How to use a DOI?

Keywords

Big Data Analysis; Location Entropy Index; Wuhan Manufacturing Industry; Industrial Agglomeration

Abstract

As an important carrier of urban and regional development, the process of formation, agglomeration and diffusion of manufacturing industry agglomeration directly affects the operational efficiency of socio-economic factors and the regional spatial pattern. In this paper, the manufacturing industry agglomeration degree of Wuhan City from 2015–2019 is measured in terms of total industrial output value and number of employees using the big data analysis method. Based on the analysis results of the big data, the problems of manufacturing industry agglomeration development in Wuhan City are analyzed and suggestions are made in this regard.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yijun Yao
AU  - Kai Xiong
PY  - 2022
DA  - 2022/12/20
TI  - Measurement and Analysis of Manufacturing Industry Agglomeration in Wuhan Based on the Big Data Analysis Method
BT  - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
PB  - Atlantis Press
SP  - 752
EP  - 762
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-030-5_75
DO  - 10.2991/978-94-6463-030-5_75
ID  - Yao2022
ER  -