This study examines the relationship between sustainable financing and financial risk management of Chinese financial institutions, using data from Chinese banks. Financial risk management is a comprehensive measure of operating performance, asset quality and capital adequacy ratio. The structural vector auto-regression model determines the relationship between two variables. The positive shock of sustainable financing business negatively impacts the financial risk management of banks. In contrast, positive shock of banks’ financial risk management positively affects sustainable financing. Further subdivision of the sample revealed that sustainable financing does not always negatively impact the financial risk management of large state-owned banks. However, the positive shock of financial risk management reduces urban banks’ green credit proportions. The results are consistent whenever compared between the empirical outcome of the entire sample and the sample consisting of national joint stock bank accounts. This comparison helps eliminate the possibility of a biased outcome as a major portion of the sample is from a national joint-stock bank account. Apart from data limitations, the results of the sub-sample test are influenced due to the difference in deposit and loan interest rates, as well as different ownership structures of banks.
Informal finance is a crucial financing method for small and micro enterprises (SMEs) in most developing countries. Interest rate risks (IRS) should be a vital component of SMEs' informal finance strategies (IFS), and public health emergencies (as COVID-19) is likely to modify IFS due to increased liquidity risks for SMEs. This article examines the relationship between IRS and IFS and its moderated effects by COVID-19. The study develops a structural equation model of SMEs' IFS to investigate SMEs' IFS, the causal relationship between IRS and SMEs' IFS, mediator effects of SMEs' corporate financial status and regional financial and economic conditions, and moderating effects of SMEs' variables. The empirical data is from Wenzhou, China, distributed between 2016 and 2021. The study concludes that IFS will continue to be a financing technique for Chinese SMEs, even if it may have a deterrent effect due to COVID-19. Additionally, there is a strong positive causal association between IFS and SMEs' IRS, as well as moderator and mediator effects. Recommendations for government policy include clarifying the connection between SMEs' IFS and influencing variables, providing scientific and methodical analysis tools for evaluating factors impacting SMEs' IFS, and encouraging the optimization and upgrading of SMEs' IFS.
Electric vehicles (EVs) are increasingly being used for the benefit of the environment and to foster the development of a low-carbon circular economy. However, compared to internal combustion engine cars, spent EV batteries (WBEVs) constitute a different form of waste, and their recycling mechanism is still in its early stages. WBEV consumer willingness to recycle is an issue in a circular economy in which EV users should be WBEV recycling pioneers. The purpose of this article is to develop an analytical model for consumers’ desire to return WBEVs for recycling, based on the circular economy and consumer welfare, in order to investigate consumer incentives for the construction of a WBEV recycling system. PLS-SEM was used for the analysis, and the results revealed the following. First, both the perception of government policy and environmental attitudes have significant positive causal effects on consumers’ intentions to recycle. Second, the perception of benefits has a significant positive mediating effect on recycling intention, whereas the perception of loss has a significant negative mediating effect. Third, the multigroup analysis found that, with the exception of gender, the variables of age, income, education, area of residence, recycling experiences, and EV ownership all have substantial moderating impacts, although their routes and directions vary considerably. Recycling policies must be appropriate for consumers, and this has policy consequences for the circular economy. Environmental education and incentives should be provided to increase consumer knowledge and willingness to recycle. Big data might help with the design of a WBEV recycling system. It is necessary to create an intelligent recycling platform, cross-regional recycling collaboration, and smart logistics for WBEVs. Further, the battery refill mechanism of energy replenishment might encourage the recycling of WBEVs.
This article is a case study of the blue finance mechanism (BFM) in China and makes use of evolutionary game theory and numerical simulation to show how the BFM plays a critical role in promoting the sustainable development of China’s marine economy, society, and environment. To ensure the perpetuation of the BFM, it is necessary for the Chinese government to attract private sector investment in the marine sector (PSIMS). By intervening in the BFM, the government can create a more favorable investment environment, which can then lead to greater private sector investment and contribute to the overall sustainability of the ocean. The goal of this article is to create an analytical model based on public finance and government management to examine the efficiency of Chinese governmental involvement in the BFM in order to boost the maritime industry by attracting private sector investment for funding the BFM. The results revealed the following: First, governmental involvement can have significant positive effects in promoting the sustainable development of the BFM in China. Second, the timeliness of governmental intervention in China can affect the private sector’s incentive to invest in the marine sector. Third, the Chinese government’s intervention in subsidizing costs can have significant impacts in engaging the private sectors to expand capital injection into marine investments. The minimization of potential risks of investment in the marine sector is critical to enhancing investor confidence and trust. The early intervention of the Chinese government is therefore crucial. Additionally, to further incentivize PSIMS, the Chinese government must make a concerted effort to increase subsidies and provide non-monetary rewards. This will help achieve sustainable development in the country’s economy, society, and environment.
This paper aims to study the sustainable development of forest food by exploring the input–output relationship of forest food value chains (FFVC) and its mediating effect on the integrity and agglomeration of FFVC. Through a literature review and interviews with experts, this paper included measurement variables, such as FFVC’s input, output, integrity, and agglomeration, and used PLS-SEM to study their relationships and the mediating effects of Chinese FFVC. The results showed that first, the measurement of FFVC’s integrity and agglomeration focused on FFVC’s rationality, development, comparative advantages, scale, space, network, and innovation; second, there was evidence of a significant input–output relationship of FFVC; third, there was a significant mediating effect of integrity and agglomeration of FFVC, which should be included in the government’s policies to promote FFVC; forth, Chinese FFVC is still at its infancy, and the government must implement FFVC sustainable development policies to promote the rationalization, upgrading, and spatial coupling of integrity and agglomeration of FFVC.
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