Digital Economy, Science and Technology Innovation and Carbon Emissions - A Dynamic Analysis of PVAR Based on Provincial Panel Data

Abstract

This paper investigates the dynamic relationship between the digital economy, science and technology innovation and carbon emissions using a panel vector autoregressive model with data from 30 Chinese provinces from 2011 to 2019. The results show that: initial development of the digital economy will lead to an increase of carbon emissions, but the effect will be gradually weakened in later stages and become a reverse inhibitory effect; the growth of digital economy development level and the increase of carbon emissions intensity are mutually Granger causative; carbon emissions will inhibit the development of the digital economy in the short term, and will have a significant self-promoting effect; the improvement of science and technology innovation level on the growth of digital economy development level is the driving effect of the improvement of STI level on the growth of digital economy development level is not yet stable.