The "Description" and "Discourse" of New Quality Productive Forces: Significance of the Times + Chinese Sports Industry

Authors

  • Qiang Liu Doctor, Hebei Normal University of Science & Technology, College of Physical Education and Health, Hebei, Qinhuangdao, 066000, China
  • Hongtao Yang Master, Hebei Normal University of Science & Technology, College of Physical Education and Health, Hebei, Qinhuangdao, 066000, China
  • Chunying Zheng Master, Hebei Normal University of Science & Technology, Research interests include human resource management and information management, Hebei, Qinhuangdao, 066000, China

Keywords:

Structural Equation Modeling (SEM), New Quality Productive Forces (Nqpfs), China’s Sports Industry, Quality Enhancement (QE)

Abstract

Background: In the past fifteen years, China has experienced remarkable development in sports-related sectors and energy by advancements in new quality productive forces (NQPFs). These innovations have revolutionized multiple aspects of the sports industry, from enhanced athletic training and performance technologies to sophisticated sports management and engagement platforms.

Purpose: The purpose of this research was to describe and discuss the impact of NQPFs on quality enhancement (QE) in China’s sports sector.

Methods: In this research, utilizing data from participant questionnaires and Chinese sports relevant materials, this study builds a conceptual framework, which includes NQPFs and QE. Significant factors are operationalized to developments in technology (DT), advanced goods and services for sports (AGSS), new business tactics (nbt), developments in regulations and policies (DRP), and changes in society and culture (CSC), and QE. The relation between these NQPF factors and the QE of the Chinese sports industry of the SEM has been assessed using statistical approaches.

Results and conclusion: This research discusses the complex association among the NQPF factors on the QE Chinese sports industry. The PLS-SEM analysis shows that NBM (t = 2.4679) and CSS (t = 2.3894) have the strongest effects on QE. This study utilized a conceptual framework and empirical evidence to demonstrate how significant innovation will be in determining future industrial environments.

Published

2025-03-25

Issue

Section

Manuscript