Temporal and Spatial Evolution Patterns of Competitiveness of Big Audiovisual Industry Driven by AIGC and Strategies for Energy Level Upgrading: A Chinese Data Analysis

Abstract

This study develops an integrated theoretical framework grounded in technology empowerment theory, resource-based view, and industrial convergence theory. It examines the hierarchical structure and development trajectory of the big audiovisual industry, and analyzes how AIGC drives its competitiveness. This paper constructs an evaluation system for assessing the competitiveness of the AIGC-driven big audiovisual industry. This system comprises three distinct layers: technology-driven layer, core industry layer and layer of the extended industry. Using panel data from 29 Chinese provinces during 2019 to 2023, this research applies the entropy-weighted TOPSIS method with robustness tests. The empirical analysis measures competitiveness levels, spatial and temporal evolution, and regional characteristics. Findings reveal that China’s big audiovisual industry competitiveness demonstrates a distinct tiered distribution pattern with prominent spatial heterogeneity and periodic leapfrogging trends. Government, market participants, and enterprises can leverage three pathways to drive comprehensive energy level upgrading of industrial competitiveness: AIGC technology empowerment, core format innovation, and cross-boundary integration. The evaluation system established in this study exhibits both theoretical generality and contextual adaptability. It provides a basis for differentiated strategy formulation across Chinese provinces, while also offering methodological reference for other countries and regions evaluating technology-driven big audiovisual industry competitiveness.