Research on Spatial Agglomeration and Development Strategy of Feed Enterprises Based on GIS Geographic Data Mining

Defa Li, Changfen Shao

2022

Abstract

Enterprise agglomeration is an important indicator of industrial scale development. Studying the spatial agglomeration level and regional differences of feed enterprises can provide reference for the development and spatial layout of feed industry. Based on the spatial distribution data of feed enterprises, ArcGIS spatial analysis technology was used to study the spatial agglomeration and distribution of feed enterprises in China. The results showed that: (1) The spatial agglomeration of feed enterprises in China was obvious and had a certain spatial agglomeration effect. (2) The spatial distribution of China ’s feed enterprises has the typical characteristics of ’ Hu Huanyong Line ’, showing a dense southeast and sparse northwest; (3) China has formed a number of feed enterprises gathering center, and the trend of industrial cluster development is becoming increasingly evident; (4) The regional differences of China ’s feed enterprises are large, and the level of industrial agglomeration needs to be improved. Therefore, it is of great significance to achieve optimal allocation of resources and optimize the structure of feed industry by strengthening the regional division of labor and cooperation and playing the leading role of feed enterprise cluster.

Paper Citation

in Harvard Style

Li D. and Shao C. (2022). Research on Spatial Agglomeration and Development Strategy of Feed Enterprises Based on GIS Geographic Data Mining. In Proceedings of the 2nd International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA; ISBN 978-989-758-658-3, SciTePress, pages 244-249. DOI: 10.5220/0012072800003624

in Bibtex Style

@conference{pmbda22,
author={Defa Li and Changfen Shao},
title={Research on Spatial Agglomeration and Development Strategy of Feed Enterprises Based on GIS Geographic Data Mining},
booktitle={Proceedings of the 2nd International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA},
year={2022},
pages={244-249},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012072800003624},
isbn={978-989-758-658-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA
TI - Research on Spatial Agglomeration and Development Strategy of Feed Enterprises Based on GIS Geographic Data Mining
SN - 978-989-758-658-3
AU - Li D.
AU - Shao C.
PY - 2022
SP - 244
EP - 249
DO - 10.5220/0012072800003624
PB - SciTePress