Data factors have become one of the five essential production factors,but their role in economic growth has always been ambiguous.Starting from AI technologies,this paper establishes an endogenous growth model of data...Data factors have become one of the five essential production factors,but their role in economic growth has always been ambiguous.Starting from AI technologies,this paper establishes an endogenous growth model of data factors affecting economic growth,constructs the generation path and value path of data factors,and estimates the value of new data factors at the provincial level in China from 1999 to 2018 accordingly.Based on theoretical analyses and empirical tests,it clarifes that data factors have a“two-dimensional driving effect”on China's economic growth,that is,data factors can drive growth both directly through its own economic growth effect and indirectly by promoting technological progress.Furthermore,this paper makes three extended discussions,aiming to make a trial study on the impacts of local government big data transaction platforms on data factors and their growth effects,discuss whether it is possible to reduce the uncertainties of local economic policy based on the nature of data factors,and make a preliminary survey of the output elasticity of data factors between 1999 and 2018.展开更多
China’s rapid economic transformation is similar in some ways to those that have occurred in other East Asian nations.But the changing structure of perceived class identity that occurs in many rapidly growing economi...China’s rapid economic transformation is similar in some ways to those that have occurred in other East Asian nations.But the changing structure of perceived class identity that occurs in many rapidly growing economies is found to be absent in China,and in fact as China has continued to grow such change as has occurred is found to be downward,despite the immense material improvement there.Objective data on income distribution in China do not explain this phenomenon,but anomalies in China’s urban real-estate market might.展开更多
基金“Research on System Regulation on High-quality Supply of Data Factors under the Framework of‘Market+Government+Community’Collaborative Governance”,a National Social Science Fund Project for 2022.(22BJL033).
文摘Data factors have become one of the five essential production factors,but their role in economic growth has always been ambiguous.Starting from AI technologies,this paper establishes an endogenous growth model of data factors affecting economic growth,constructs the generation path and value path of data factors,and estimates the value of new data factors at the provincial level in China from 1999 to 2018 accordingly.Based on theoretical analyses and empirical tests,it clarifes that data factors have a“two-dimensional driving effect”on China's economic growth,that is,data factors can drive growth both directly through its own economic growth effect and indirectly by promoting technological progress.Furthermore,this paper makes three extended discussions,aiming to make a trial study on the impacts of local government big data transaction platforms on data factors and their growth effects,discuss whether it is possible to reduce the uncertainties of local economic policy based on the nature of data factors,and make a preliminary survey of the output elasticity of data factors between 1999 and 2018.
文摘China’s rapid economic transformation is similar in some ways to those that have occurred in other East Asian nations.But the changing structure of perceived class identity that occurs in many rapidly growing economies is found to be absent in China,and in fact as China has continued to grow such change as has occurred is found to be downward,despite the immense material improvement there.Objective data on income distribution in China do not explain this phenomenon,but anomalies in China’s urban real-estate market might.
