In the context of China’s growing emphasis on digital finance and sustainable investing, this study investigates the factors influencing investors’ behavioral intentions to adopt FinTech solutions, specifically robo-advisors, for green investments. Drawing on responses from 393 investors and employing PLS-SEM analysis through SmartPLS-4, we examine the effects of robo-advisor usage, awareness of ESG factors, and personalization of ESG portfolios on perceived usefulness, perceived ease of use, and behavioral intention, with perceived trust as a moderator. The results reveal that robo-advisor usage and awareness of ESG factors significantly influence perceived usefulness and perceived ease of use, though not intention directly. Personalization of ESG portfolios positively impacts perceived usefulness, perceived ease of use, and intention, underscoring the central role of personalization in ESG-oriented FinTech adoption. Both perceived usefulness and perceived ease of use significantly predict behavioral intention. Additionally, perceived trust significantly moderates the relationship between personalization of ESG portfolios and behavioral intention, but not the relationships between awareness of ESG factors and intention or between robo-advisor usage for green investment and intention. These findings highlight the importance of enhancing personalization and perceived usefulness to drive investor engagement with green FinTech solutions. Practical implications are discussed for advancing sustainable finance through trusted and user-centered digital platforms.

Setting environmental regulation policy is an important practice to reach the goal of ecological environmental protection. By establishing fixed effects and spatial spillover models, this paper examines the relationship between the environmental regulation of carbon emissions and the impact on spatial spillovers. The results of our analysis show that: 1. environmental regulation has significant inhibitory effects on carbon emissions, which is beneficial to carbon dioxide emission reduction, and 2. environmental regulation has a significant inhibitory impact on local carbon emissions but increases carbon emissions in neighboring locations. Therefore, in order to achieve the aim of carbon emission reduction, appropriate environmental regulation policies should be established, which, in turn, would provide better coordination of the carbon emission relationship between different regions. Meanwhile, environmental regulation plays an important role in protecting the environment. To strengthen environmental governance and promote the coordinated development of regional carbon emission reduction, we need to implement a top-level design of environmental regulation and build a market-oriented environmental regulation system.

Previous research has explored the link of weather, mood and behaviors. In particular, some studies demonstrated weather impacts on stock returns. However, most literature included the sample period of financial crisis when they link weather and stock market. In this paper, we investigate the relationship of daily cloudiness and Hong Kong stock market between two financial crises from 1999 to 2006, with 1,824 samples. We believe this is important, since individuals' decisions are more likely to be calm to trade out of financial crisis period. Consequently, the weather impacts on stock market are more convincing if these impacts could still be found out of financial crisis period. OLS regression and logistic model are used to test the hypothesis. After controlling for January, Monday and seasonality, we find that lower cloudy cover could induce higher stock return between financial crisis period of 1997 and 2008 in

Household waste classification has been considered as the most effective way to solve the problem of Household Solid Waste. However, due to the lack of funds and residents' awareness in developing countries, it has been challenging to implement household waste classification in society for a long time. In this connection, this paper constructs a game model between the government and residents to analyze the government's optimal charging decision and the residents' optimal behavior on household waste classification. The research shows that household waste classification behavior relates to the government's charging policy; self-generated environmental protection awareness; and classification cost. The government can guide and promote residents to classify household waste through publicity and procedures to reduce household solid waste. For developing countries, the government's implementing fixed charges can effectively enhance residents' awareness of household waste classification and improve the social environment.

I. A growing body of research suggests that weather conditions may influence financial markets. Early studies report significant relations between variables such as cloud cover or temperature and s...