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The impact of the digital economy on Chinese enterprise innovation based on intermediation models with financing constraints

The digital economy has become an important driving force for the steady development of China's economy, and enterprise innovation is a key element for an enterprise's survival and development. This paper constructs a mathematical model to measure the scale of digital economic development...

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Detalles Bibliográficos
Autores principales: Peng, Siying, Jiang, Xuchu, Li, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9989639/
https://www.ncbi.nlm.nih.gov/pubmed/36895403
http://dx.doi.org/10.1016/j.heliyon.2023.e13961
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author Peng, Siying
Jiang, Xuchu
Li, Ying
author_facet Peng, Siying
Jiang, Xuchu
Li, Ying
author_sort Peng, Siying
collection PubMed
description The digital economy has become an important driving force for the steady development of China's economy, and enterprise innovation is a key element for an enterprise's survival and development. This paper constructs a mathematical model to measure the scale of digital economic development and the efficiency of enterprise innovation. It builds a fixed effects model and mediated effects model to study the effect of the development of the digital economy on enterprise innovation based on data from 30 provinces from 2012 to 2020. The results show that (1) there is a significant positive effect of the digital economy on enterprise innovation with an impact coefficient of 0.028, and the economic meaning of the coefficient is that for every 1-point increase in the digital economy index, the ratio of R&D capital expenditures to the enterprise's operating income increases by 0.028% points. This finding remains significant in the robustness test. (2) A further test of the mediating effect finds that the digital economy can drive enterprise innovation by reducing financing constraints. (3) In the regional heterogeneity analysis, it is found that the effect of the digital economy in promoting enterprise innovation is more prominent in the central region, and the impact coefficients are 0.04, 0.06, 0.025, and 0.024 for the eastern, central, western, and northeastern regions, respectively. Taking the central region as an example, the economic meaning of the coefficient is that for every 1-point increase in the digital economy index, the ratio of R&D capital expenditures to the enterprise's operating income increases by 0.06% points. The findings of this paper are of practical significance to enterprises in enhancing their innovation capabilities and promoting the high-quality development of China's economy.
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spelling pubmed-99896392023-03-08 The impact of the digital economy on Chinese enterprise innovation based on intermediation models with financing constraints Peng, Siying Jiang, Xuchu Li, Ying Heliyon Research Article The digital economy has become an important driving force for the steady development of China's economy, and enterprise innovation is a key element for an enterprise's survival and development. This paper constructs a mathematical model to measure the scale of digital economic development and the efficiency of enterprise innovation. It builds a fixed effects model and mediated effects model to study the effect of the development of the digital economy on enterprise innovation based on data from 30 provinces from 2012 to 2020. The results show that (1) there is a significant positive effect of the digital economy on enterprise innovation with an impact coefficient of 0.028, and the economic meaning of the coefficient is that for every 1-point increase in the digital economy index, the ratio of R&D capital expenditures to the enterprise's operating income increases by 0.028% points. This finding remains significant in the robustness test. (2) A further test of the mediating effect finds that the digital economy can drive enterprise innovation by reducing financing constraints. (3) In the regional heterogeneity analysis, it is found that the effect of the digital economy in promoting enterprise innovation is more prominent in the central region, and the impact coefficients are 0.04, 0.06, 0.025, and 0.024 for the eastern, central, western, and northeastern regions, respectively. Taking the central region as an example, the economic meaning of the coefficient is that for every 1-point increase in the digital economy index, the ratio of R&D capital expenditures to the enterprise's operating income increases by 0.06% points. The findings of this paper are of practical significance to enterprises in enhancing their innovation capabilities and promoting the high-quality development of China's economy. Elsevier 2023-02-23 /pmc/articles/PMC9989639/ /pubmed/36895403 http://dx.doi.org/10.1016/j.heliyon.2023.e13961 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Peng, Siying
Jiang, Xuchu
Li, Ying
The impact of the digital economy on Chinese enterprise innovation based on intermediation models with financing constraints
title The impact of the digital economy on Chinese enterprise innovation based on intermediation models with financing constraints
title_full The impact of the digital economy on Chinese enterprise innovation based on intermediation models with financing constraints
title_fullStr The impact of the digital economy on Chinese enterprise innovation based on intermediation models with financing constraints
title_full_unstemmed The impact of the digital economy on Chinese enterprise innovation based on intermediation models with financing constraints
title_short The impact of the digital economy on Chinese enterprise innovation based on intermediation models with financing constraints
title_sort impact of the digital economy on chinese enterprise innovation based on intermediation models with financing constraints
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9989639/
https://www.ncbi.nlm.nih.gov/pubmed/36895403
http://dx.doi.org/10.1016/j.heliyon.2023.e13961
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