Spatial coupling coordination and interactive response between green finance and green total factor productivity: geographical analysis based on Chinese provinces, 2010-2020.

Based on the panel data of 30 provinces in China from 2010 to 2020, this study uses the coupling coordination degree model (CCDM), spatial autocorrelation analysis, and the panel vector autoregression (PVAR) model to quantitatively examine the dynamic coordination and interactive response of green finance (GF) and green total factor productivity (GTFP). The results show that the coupling coordination degree (CCD) between GF and GTFP during the study period shows an overall increasing trend and significant regional differentiation and remains at the medium level, indicating large room for improvement. The CCDs of provinces fluctuate between the low and high types.

Regional differences, dynamic evolution, and spatial-temporal convergence of green finance development level in China.

Green finance has great potential for supporting environmental improvement, combating climate change, and the economical and efficient use of resources. In this study, based on the panel data of 30 provinces in China from 2010 to 2020, we used the weighted TOPSIS model to measure the green finance development level (GFDL) in China and its three major regions. The Dagum's Gini coefficient, kernel density estimation, Markov chain, and the convergence model are used to analyze the regional differences, dynamic evolution, and spatial-temporal convergence of GFDL in China.

Revisiting financial development and renewable energy electricity role in attaining China's carbon neutrality target.

During the last few decades, China's transformation from a low-income country to an emerging economy causes carbon emission to rise extensively. Being the largest carbon emitter, China's continuous economic growth may inevitably cause more carbon emissions in the future. To achieve carbon neutrality targets, the country is striving to promote cleaner technologies.

Carbon neutrality target for G7 economies: Examining the role of environmental policy, green innovation and composite risk index.

To achieve zero carbon or achieving carbon neutrality target is of great importance to many countries around the globe especially post Paris climate agreement. This study, unlike previous studies, evaluates the role of environmental policy, green innovation, composite risk index, and renewable energy R&D in achieving carbon neutrality targets for G7 economies from 1990 to 2019. The results confirmed the validity of the EKC hypothesis for G7 economies.