Research on Interrelationship between Economic Growth, CO2 Emissions, and Industrial Structure Upgrading Based on PVAR Model by Big Data Computation

Abstract

We proposed a panel vector autoregressive (PVAR) model by big data computation for the empirical analysis of data related to the Beijing-Tianjin-Hebei region from 2003-2019. The study result shows that economic growth, CO2 emissions, and industrial structure upgrading in the Beijing-Tianjin-Hebei region interact with each other. Specifically, economic growth reduces CO2 emissions, and in turn, CO2 emissions contribute to a certain extent to economic growth. Economic growth facilitates the upgrading of the industrial structure, and the advanced industrial structure also promotes economic growth, but the rationalization of the industrial structure has a limiting effect on economic growth. CO2 emissions impede industrial upgrading and contribute to the rationalization of industrial structures in the short term, and conversely, industrial upgrading reduces CO2 emissions. The advanced and rationalized industrial structure reinforces each other in the short term. On this basis, we propose relevant recommendations.