Relationship between Enterprise Financing Structure and Business Performance Assisted by Blockchain for Internet of Things Financing Mode.


Journal

Computational intelligence and neuroscience
ISSN: 1687-5273
Titre abrégé: Comput Intell Neurosci
Pays: United States
ID NLM: 101279357

Informations de publication

Date de publication:
2022
Historique:
received: 02 03 2022
revised: 24 04 2022
accepted: 11 05 2022
entrez: 10 6 2022
pubmed: 11 6 2022
medline: 14 6 2022
Statut: epublish

Résumé

Financing structure is an important and very complex issue in the financial theory and the rights and obligations of relevant stakeholders of enterprises are also concentrated in the financing structure. Therefore, the financing structure has a significant impact on the value of enterprises. A reasonable financing structure is conducive to standardizing the behavior of enterprises and improving the value of enterprises. The change of corporate financing structure is often used as a signal to external investors about the company's future income expectations, especially because the financing structure has a certain impact on the company's performance, which makes the problem of financing structure more valued by the theoretical and financial circles. For the empirical information about company financing, this paper explores the influencing elements of the company's running overall performance assisted with the aid of the blockchain, and the net of matters provides a chain model and constructs the operating performance indicators according to the comprehensive score. We select the commercial credit financing rate, short-term loan financing rate, long-term loan financing rate, debt financing rate, equity financing rate, and endogenous financing rate. The control variables are total capital, ownership concentration, and average age of the company. The conclusion is drawn by regression analysis. Commercial savings financing rate, fairness financing fee, and endogenous financing fee are positively correlated with the working performance; short-term loans and average age of the company are negatively correlated with the operating performance; and long-term loan financing rate, bond financing rate, and equity concentration are not significantly correlated with the operating performance.

Identifiants

pubmed: 35685158
doi: 10.1155/2022/2076830
pmc: PMC9173942
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2076830

Informations de copyright

Copyright © 2022 Jing Li et al.

Déclaration de conflit d'intérêts

The authors declare that they have no conflicts of interest.

Références

Anal Chim Acta. 2018 Feb 25;1001:70-77
pubmed: 29291808

Auteurs

Jing Li (J)

Information Engineering Institute, Wuhan College, Wuhan 430212, Hubei, China.

Hao Feng (H)

Information Engineering Institute, Wuhan College, Wuhan 430212, Hubei, China.

Mao Li (M)

Information Engineering Institute, Wuhan College, Wuhan 430212, Hubei, China.

ManJie Li (M)

Information Engineering Institute, Wuhan College, Wuhan 430212, Hubei, China.

Yuyuan Chen (Y)

Information Engineering Institute, Wuhan College, Wuhan 430212, Hubei, China.

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