The Effect of Industrial Agglomeration on Financial Performances of an Enterprise: Based on Electrical Machinery and Equipment Manufacturing
- DOI
- 10.2991/aebmr.k.191225.118How to use a DOI?
- Keywords
- industrial cluster of electrical machinery and equipment manufacturing, industrial agglomeration, financial performance
- Abstract
An industrial cluster is an economic organization which, owning unique characteristics, is classified as per region and product type and studied by many subjects. The specialized work division and collaboration between individuals in clusters will help cluster-based enterprises break through the limitations in size and strength that single enterprise faces in funds flow and operations, enabling enterprises to lower costs and optimize the funds flow and further perfecting financial performance of the enterprises. Based on industrial clusters of electrical machinery and equipment manufacturing, the article selects indicators to measure the industrial agglomeration and that for proper financial performance, with correlation and regression analysis applied to analyze the effect of industrial agglomeration of electrical machinery and equipment manufacturing on the industry-related financial performances in enterprises in order to make sure of the positive correlation between spatial Gini coefficient of centralized resources allocation and financial performance of an enterprise in clusters. In most cases, the financial performance of an enterprise in the clusters is subject to by the whole progress of the industrial cluster.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Gang Chen AU - Wei Mao PY - 2020 DA - 2020/01/07 TI - The Effect of Industrial Agglomeration on Financial Performances of an Enterprise: Based on Electrical Machinery and Equipment Manufacturing BT - Proceedings of the 5th International Conference on Economics, Management, Law and Education (EMLE 2019) PB - Atlantis Press SP - 651 EP - 656 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.191225.118 DO - 10.2991/aebmr.k.191225.118 ID - Chen2020 ER -