The nonlinear impact of industrial restructuring on economic growth and carbon dioxide emissions: a panel threshold regression approach.

Abstract

Energy conservation, emission reduction, and sustainable development are the goals of achieving low-carbon economic development all over the world. Many countries are working hard to find measures, and industrial restructuring is considered to be an effective way to achieve economic development and emission reduction. However, previous studies have assumed that industrial restructuring and economic growth and emissions are simple linear relationships while neglecting nonlinear relationships. We use panel data from 32 countries from 1997 to 2017 and employ panel threshold models (Stochastic Impacts by Regression on Population, Affluence and Technology model and Solow growth model) for empirical test. The results reveal that industrial restructuring has statistically significant nonlinear effects on economic growth and carbon dioxide emissions. With the process of industrialization and urbanization, industrial restructuring has a long-term positive impact on economic growth. The relationship among industrial restructuring and carbon dioxide emissions has been found to be inverted U-shaped. Industrial restructuring is beneficial to reducing emissions. The policy implies that although industrial restructuring is considered to be an effective measure to achieve green growth, for countries with different degrees of urbanization and economic development, industrial structure transformation should adopt different policies.