Abstract

We subdivided the energy investment of public-private partnerships, and selected energy investment in the private sector as the variable,in order to explore the impact of private sector energy investment, innovation and energy consumption on China's carbon emissions. We use the autoregressive distributed lag model (ARDL) to study the long - and short-term relationship between the above variables and carbon emissions. The results show that the participation of private sector in energy investment can increase carbon emissions in the short term but can reduce carbon emissions in the long term. Innovation factors have a positive effect on reducing carbon emissions, and the number of resident patent applications is more conducive to reducing carbon emissions. Energy consumption will lead to an increase in carbon emissions in both the long and short term, while China's economic growth and foreign trade will lead to changes in carbon emissions in different directions.

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