The Impact of Industrial Internet Policy Subsidies on Corporate Development: an Empirical Analysis of Chinese IIoT Listed Companies

Fateh Saci ()
Additional contact information
Fateh Saci: CHROME - Détection, évaluation, gestion des risques CHROniques et éMErgents (CHROME) - Université de Nîmes - UNIMES - Université de Nîmes, UMay - Université de Mayotte (UMay)

Post-Print from HAL

Abstract: Based on 139 industrial internet of things (IIoT) listed companies from 2014 to 2019, this paper conducts empirical research to further explore the impact of industrial subsidy policies mainly from two aspects: companies' R&D investment and revenue growth. The result shows that policy subsidies directly support companies' R&D investment, especially for industrial and private enterprises; whilst policy subsidies and companies' revenue growth are not significantly related. This indicates that policy subsidies have not been effectively transmitted to corporate performance. It is found that China's IIoT industry has achieved a rich level with various applications and multiple industrial platforms. Additionally, a well-structured policy framework has been realised. However, China's IIoT industry, whether in terms of volume or competitiveness, has a gap with the world's leading development level. This paper also proposes three suggestions for supporting IIoT policies in the conclusion.

Keywords: Industrial internet of things; IIoT; policy subsidies; R&D investment; revenue growth (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Published in International Journal of Manufacturing Technology and Management, 2024, 38 (6), ⟨10.1504/IJMTM.2024.10068229⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-04832775

DOI: 10.1504/IJMTM.2024.10068229

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().