Multiple Paths for Improving Efficiency of Regional Sports Industry from the Perspective of Asymmetric Innovation Theory:NCA and Dynamic QCA Analysis Based on Provincial Panel Data
This study explores diverse pathways for enhancing the efficiency of the regional sports industry,aiming to optimize resource allocation to boost the agglomeration effects of its spatial layout and facilitate high-quality develop-ment through regional coordination.The study constructs a three-dimensional research framework for asymmetric inno-vation in the sports industry,encompassing"Institution-Market-Technology."Utilizing panel data from 15 provinces in China spanning from 2016 to 2021,we employ a combined approach of Network Comparative Analysis(NCA)and dynamic Qualitative Comparative Analysis(QCA)to delve into the diverse pathways for improving regional sports in-dustry efficiency,transitioning from single-factor effects to complex configurational effects.Our findings indicate that while industrial agglomeration serves as a fundamental prerequisite for achieving high efficiency in the regional sports industry,no single necessary condition independently explains this high efficiency.Instead,the"multiple concurrent"interactions among the three dimensions—Institution,Market,and Technology—generate diverse config-urations that drive the enhancement of regional sports industry efficiency.In essence,these diverse pathways converge towards a common goal.From a temporal perspective,the efficiency of the regional sports industry exhibits a sustain-able upward trend,while spatially,significant regional disparities are observed.Based on our findings,we recommend strengthening policy guidance to enhance the core competitiveness of the regional sports industry,empha-sizing structural optimization to support diverse and balanced development within disparate patterns,and accelerating digital empowerment to systematically facilitate the high-quality expansion of the regional sports industry.
efficiency of regional sports industryasymmetric innovationmultiple pathsNCAdynamic QCA
万方数据
