Do Industrial Support Policies Help Overcome Innovation Inertia in Traditional Sectors?

Hui Liu and Yaodong Zhou ()
Additional contact information
Hui Liu: School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China
Yaodong Zhou: School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China

Economies, 2025, vol. 13, issue 7, 1-21

Abstract: Enhancing innovation capability can effectively promote the development of traditional industries. Based on Lewin’s behavioral model theory, this study investigated the relationship between industrial support policies and innovation behavior within traditional industries. Utilizing survey data collected from 152 traditional industrial enterprises in 2024 and employing structural equation modeling, the main findings are as follows: Industrial support policies can effectively alleviate the “innovation inertia” of traditional industries, with all policies being significant at the 1% confidence level. Among them, policies related to industry–university–research cooperation platforms have the most significant impact, with a standardized coefficient of 0.941, followed by fiscal and taxation policies (standardized coefficient: 0.846) and financial policies (standardized coefficient: 0.729). Innovation motivation acts as a mediating mechanism between industrial policies and innovation behavior. Industrial support policies accelerate the conversion of reserve-oriented patent portfolios into practical applications, helping to break through patent barriers and effectively alleviate innovation inertia. Consequently, the government should prioritize improving public services, and policy formulation needs to be oriented towards enhancing innovation efficiency. While ensuring industrial security, it is advisable to moderately increase competition to guide traditional industry market players towards thriving in competitive environments.

Keywords: policy instruments; innovation inertia; traditional industries (search for similar items in EconPapers)
JEL-codes: E F I J O Q (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7099/13/7/206/pdf (application/pdf)
https://www.mdpi.com/2227-7099/13/7/206/ (text/html)

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:gam:jecomi:v:13:y:2025:i:7:p:206-:d:1703865

Access Statistics for this article

Economies is currently edited by Ms. Hongyan Zhang

More articles in Economies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().