Huang Fashuang
ABSTRACT
This paper uses panel data from 30 provinces in China from 2013 to 2019 to construct a general linear panel data model, threshold effect model and spatial econometric model, and empirically analyzes the nonlinear characteristics and spatial spillover effects of big data impact on cultural industry innovation. The study found that: seen from linear relationship, big data significantly promotes the improvement of cultural industry innovation; seen from nonlinear relationship, under the constraints of economic level, the impact of big data on the cultural industry innovation exhibits significant inverted U-shaped change characteristics. When the economic development degree is at a high level, big data has the greatest impact on cultural industry innovation; seen from the perspective of spatial relationships, cultural industry innovation itself does not show obvious spatial spillover characteristics, but the social environment improvement of neighboring areas helps promote local cultural industry development. At the same time, under the constraints of spatial effects, big data still plays a significant role in promoting the local cultural industry, showing obvious positive spatial spillover characteristics. This paper proposes that, based on the actual regional economic development level, there is need to strengthen investment in digital construction, perfect the construction of inter-regional data and information network infrastructure, and then steadily promote the digitalization process of the cultural industry.
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