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Technology diffusion is essential for sustainable development. However, traditional financing faces structural problems in supporting technological innovation and diffusion. Fortunately, greening and digitalisation have become important directions for the financial development. It's well worth examining whether green digital finance would promote the diffusion of technology among regions. Therefore, this study explores the causal relationship between green digital finance and technology diffusion using the panel data of 35,532 'citing city-cited city' pair observations from 2002 to 2015. Considering different spatial spillover effects of administrative boundaries and geographic distances, it applies and extends the classic spatial Dubin model with a dual-weighted boundary and distance. The main findings of this study are as follows. First, green digital finance shows significant and considerable spatial stimulus effects, particularly in terms of spatial diffusion across cities. A slight cumulative phenomenon is revealed for different technology diffusion durations. Green digital credit, investment, and support have better stimulating effects on technology diffusion. Second, digital economy and market integration are effective mechanism pathways during this stimulating process of green digital finance on technology diffusion. Digitalisation innovation has a better mechanism effect than others. Third, considering the direction of technology diffusion, the diffusion effect from the east-region cities was better than that from the central-west-region cities. [ABSTRACT FROM AUTHOR]

COVID-19 pandemic and its recovery bring opportunities and threats for global climate governance and further challenge climate related assets. In this study, we analyze the efficiency of government response policies and fiscal policies on green recovery by observing the variation characteristics of carbon allowance prices in the EU emission trading system (EU ETS). Using the OLS and threshold methods in the original time scales, we find that: (1) The EUA prices had an inverted U-shaped relationship with the number of new confirmed cases and deaths. (2) Government response policies had a better effect than fiscal policies when mitigating the negative impact of the pandemic. After decomposing and reconstructing the time series, the multiscale analysis indicates that: (3) The carbon price fluctuated in the short term with the increasing number of newly confirmed cases (or deaths) but gradually recovered due to the recovery policies. (4) Government response policies had a "stop-loss" effect in the short term, and then working alongside fiscal policies, sustained and promoted the development of the EU ETS and green recovery. In the post-COVID-19 era, we suggest the combination of various policies to convert the current health crisis into opportunities for climate change mitigation. [ABSTRACT FROM AUTHOR]

China's newly announced carbon neutrality goal manifests its determination to advance green and low-carbon development. The country aims to peak carbon dioxide emissions by 2030 and achieve carbon neutrality by 2060. Consequently, guidelines and action plans have been actively deployed and issued. The carbon neutrality commitment (vision) and its detailed deployment (action) would contribute to climate change mitigation and corporate market value. Therefore, we categorize the carbon neutrality-related events and analyze their impacts on the stock market from July 2020 to March 2021. The main findings are as follows: (1) The action event have increased the carbon neutrality-related stocks by 0.04%, while that of the vision event is – 0.003%, indicating that investors' confidence increases when the carbon neutrality commitment is accompanied by specific and detailed guidelines. (2) The impact of carbon neutrality announcement becomes more positive and significant after related events occur repeatedly. (3) Carbon neutrality-related power industry and state-owned enterprises are potential beneficiaries of this decarbonization goal. Our study supplements the literature on climate policy and its economic value, potentially contributing to the next stage of global decarbonization. [ABSTRACT FROM AUTHOR]

Excessive greenhouse gas emissions might be the major culprit for environmental degradation, which have direct and indirect adverse impacts in various ways. As the largest emitter of carbon emissions, China suffered great harm from climate change during the past 40 years. Therefore, it becomes necessary to study the impact of carbon emissions on health issues and their potential mechanism. Using the panel data from 30 provinces in China between 2002 and 2017, this study employes and extends the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model and mediating effect model to analyze the direct and indirect effects of carbon emissions. The main results are as follows: (1) Carbon emissions has a certain negative impact on public health, which would increase with the rise of temperature. (2) The increase in carbon emissions has a more significant negative effect on health with the average temperature exceeding 17.75 °C, indicating that the temperature has a threshold effect. (3) The potential health risks become higher with the development of urbanization, but there is no obvious spillover effect in the health consequences. The results remain robust after controlling other factors. This study supplements the literature of climate governance and human health, potentially contributing to the next stage of high-quality and sustainable development. [ABSTRACT FROM AUTHOR]