Abstrakt
Understanding the influencing factors of carbon dioxide emissions is an essential prerequisite for policy makers to maintain sustainable low-carbon economic growth. Based on the autoregressive distributed lag model (ARDL) and error correction model (ECM), this paper investigates the causal relationships between economic growth, carbon emission, financial development, renewable energy consumption, and technology innovation in the case of China for the period 1965-2018.
Our empirical results confirm the presence of a long-run relationship among the underlying variables. Our long-run estimates show that financial development has negative significant impacts on carbon emissions, whereas renewable energy and technology innovation have limited impacts on carbon mitigations.
In addition, the short-run Granger causality analysis reveals that renewable energy consumption has a bidirectional Granger causality with carbon emissions and technology innovations. In the short run, we find that financial development can positively affect China's carbon mitigation efforts indirectly via the channels of renewable energy sources and technology innovations.
Our results have three following policy implications for Chinese policy makers to maintain sustainable low carbon economic development: (i) establish a green finance market to mobilize the social capital into green industry; (ii) continue the environmental law enforcement to control for carbon emissions among energy intensive industries; (iii) provide government fiscal incentives to promote renewable energy sources on both supply and demand sides of the market. (C) 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.