The Economic Growth Effect of Data:An Analysis Based on a Generalized Endogenous Growth Model
The surge in data availability has profoundly altered the rate and methods of human capital accumulation and technological progress.In recognizing the unique characteristics of competitive and non-competitive data across various sectors,this paper constructs a detailed endogenous growth model—driven by innovation,human capital,and data-to explore the implications of data on economic growth.The primary research methods employed include macroeconomic growth theory,optimal control theory,and numerical simulations.The findings reveal that data can alleviate congestion in technological research and development,extend the boundaries of human capital accumulation,and enhance the rate of steady-state convergence in both.However,data sharing also introduces negative externalities and impacts consumer welfare,underscoring the potential necessity for government-supported data subsidies.Additionally,this paper examines the influence of data on the efficiency of technological innovation,the production of intermediate goods,and economic growth,especially within the context of government-provided data infrastructure.This paper makes two major contributions to the field.First,it offers a supply-and-demand perspective on data,elucidating the theoretical pathways by which data stimulates growth and enhances economic outcomes through innovation and human capital channels.Second,it addresses the potential privacy risks associated with data sharing,which may lead to"retention consumption"—a phenomenon where consumers refrain from fully utilizing data due to privacy concerns.This effect partially offsets the growth benefits of data sharing.The issue of growth in relation to the trade-off between consumption utility and privacy risk is analyzed through the"retained consumption function"and the"retained consumption utility function."This work contributes to the theoretical foundations of the digital economy within the general equilibrium framework,offers practical insights into the balance between data sharing and privacy,provides theoretical support for government investment in data infrastructure,and demonstrates a case for applying the optimal control differential system in scenarios with multiple state and control variables.By highlighting the critical role of data as a productive factor,this paper fosters interdisciplinary research and aims to serve as a reference for policymakers in the areas of consumer data privacy,data infrastructure investment,and data rights.
dataeconomic growth effecttechnological progresshuman capital accumulationendogenous growth model
万方数据
维普
