Impact of Digital Economy Development on Financialization of Firms: Empirical Evidence from PVAR Model

In this paper, we select several indicators to measure the level of the digital economy in cities, the index of digital inclusive finance in cities and the degree of financialization of enterprises, we apply variables mentioned above to analyze the complex relationship between multiple variables based on the PVAR model, we firstly suppose a unique order and use impulse response function(IRF) and variance decomposition measures to predict the impact of the relationship between variables, so as to provide a reference for policy making and risk prevention. and use impulse response and variance decomposition methods to predict the future direction of the relationship between variables, so as to provide certain reference significance for policy making and risk prevention.

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Publication Details

Journal
Frontiers in Business Economics and Management
Published
2024-09-30
DOI
https://doi.org/10.54097/de438b17
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00
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article

Impact of Digital Economy Development on Financialization of Firms: Empirical Evidence from PVAR Model

Haoran Cheng
Frontiers in Business Economics and Management
FinTech, Crowdfunding, Digital Finance
article

Impact of Digital Economy Development on Financialization of Firms: Empirical Evidence from PVAR Model

Haoran Cheng
article en

Abstract

In this paper, we select several indicators to measure the level of the digital economy in cities, the index of digital inclusive finance in cities and the degree of financialization of enterprises, we apply variables mentioned above to analyze the complex relationship between multiple variables based on the PVAR model, we firstly suppose a unique order and use impulse response function(IRF) and variance decomposition measures to predict the impact of the relationship between variables, so as to provide a reference for policy making and risk prevention. and use impulse response and variance decomposition methods to predict the future direction of the relationship between variables, so as to provide certain reference significance for policy making and risk prevention.

Frontiers in Business Economics and ManagementVol. 16(3)
Openalex Percentile: Top 73%
FinTech, Crowdfunding, Digital Finance
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