New Horizons for Urbanization:Innovation-Driven and Information-Pulled Mechanisms of Data Factors
This paper estimates the added value of data factors in 272 prefecture-level administrative units or municipalities of China between 2006-2020,and constructs theoretical and empirical models to reveal the impacts and mechanisms of data factors on urbanization.The results are as follows:First,under the background of the weakening role of traditional industrialization in driving urbanization,data factors can promote urbanization through innovation-driven mechanism and information-pulled mechanism,offering new horizons for urbanization.Second,the innovation-driven mechanism is reflected in data factors boosting urban areas'ability to absorb rural labor,through technological advancements in production,lifestyle,and governance.Third,the information-pulled mechanism leverages data factors'inherent information to reduce production uncertainties on the one hand,enabling urban enterprises to expand and create jobs,and to guide migration decisions on the other hand,promoting rural-to-urban labor shifts.Fourth,the current scale of China's digital infrastructure lags behind the scale of data factors generation.Fifth,data factors not only increase the urbanization rate,but also play a pivotal role in rectifying regional imbalances in urbanization,promoting integrated urban-rural development and facilitating urbanization with county towns as the carrier.This demonstrates that data factors are important resources for accelerating the formation of new quality productive forces at the current stage.
Data FactorsUrbanizationData ValueDigital InfrastructureNew Quality Productive Forces
NETL
NSTL
万方数据
