Does green transportation affect carbon emission efficiency? Evidence from a quasi-experimental study in China.

The establishment of a low-carbon transportation system (LCTS) holds prominent importance in advancing modern transportation development and achieving green growth. Employing the LCTS pilot policy as a shock to green transportation construction in China, we investigate its influence on carbon emission efficiency (CEE) using urban panel data from 2006 to 2021. Results based on difference-in-differences (DID) show that LCTS contributes to increasing CEE following such a pilot policy.

How does digital finance reduce carbon emissions intensity? Evidence from chain mediation effect of production technology innovation and green technology innovation.

The digitalization of finance drives economic development and plays a crucial role in energy conservation and carbon emission reduction. Utilizing carbon emissions data from 2011 to 2020, we find that digital finance development can mitigate carbon emissions intensity (CEI) by approximately 0.14 %.

What role does digital finance play in low-carbon development? Evidence from five major urban agglomerations in China.

In the epoch of the digital economy, digital finance (DF) has become an indispensable engine driving the high-quality development of the Chinese economy. The issues of how DF can be used to alleviate environmental pressure and how a long-term governance mechanism for carbon emissions reduction be formed have become particularly important. Based on the panel data of five national urban agglomerations in China from 2011 to 2020, this study utilizes the panel double fixed-effects model and chain mediation model to verify the impact mechanism of DF on carbon emissions efficiency (CEE).

State transition of carbon emission efficiency in China: empirical analysis based on three-stage SBM and Markov chain models.

Assessing China's carbon emission efficiency (CEE) and analyzing efficiency state transition trends are necessary to accelerate the promotion of carbon emission reduction and achieve low carbon goals. This study evaluates China's economic and social environments by using the entropy weight method. The CEE of 30 Chinese provinces from 2006 to 2020 is measured using the three-stage slack-based model with an undesirable output.