A self-reported life satisfaction question is routinely used as an indicator of societal well-being. Several studies support that mental illness is an important determinant for life satisfaction and improvement of mental healthcare access therefore could have beneficial effects on a population’s life satisfaction. However, only a few studies report the relationship between subjective mental health and life satisfaction. Subjective mental health is a broader concept than the presence or absence of psychopathology. In this study, we examine the strength of the association between a self-reported mental health question and self-reported life satisfaction, taking into account other relevant factors. We conducted this analysis using successive waves of the Canadian Community Health Survey (CCHS) collected between 2003 and 2012. Respondents included more than 400,000 participants aged 12 and over. We extracted information on self-reported mental health, socio-demographic and other factors and examined correlation with self-reported life satisfaction using a proportional ordered logistic regression. Life satisfaction was strongly associated with self-reported mental health, even after simultaneously considering factors such as income, general health, and gender. The poor-self-reported mental health group had a particularly low life satisfaction. In the fair-self-reported mental health category, the odds of having a higher life satisfaction were 2.35 (95% CI 2.21 to 2.50) times higher than the odds in the poor category. In contrast, for the “between 60,000 CAD and 79,999 CAD” household income category, the odds of having a higher life satisfaction were only 1.96 (95% CI 1.90 to 2.01) times higher than the odds in the “less than 19,999 CAD” category. Subjective mental health contributes highly to life satisfaction, being more strongly associated than other selected previously known factors. Future studies could be useful to deepen our understanding of the interplay between subjective mental health, mental illness and life satisfaction. This may be beneficial for developing public health policies that optimize mental health promotion, illness prevention and treatment of mental disorders to enhance life satisfaction in the general population.

Economic growth and rapid urbanization have resulted in various urban issues related to sustainable development in emerging economies such as China. Nowadays, two-thirds of China’s cities are besieged by waste and one-fourth of the cities have no space to build landfills. China is embarking on a top-down waste sorting revolution, in which residents’ awareness and behaviour of participation are fundamental to the success of garbage classification. The purpose of this paper is to understand residents’ waste sorting behaviour and identify the influencing factors in China. The subjects of this study are urban and rural residents in Jiaxing, where local government has begun to encourage waste classification but has not yet legalized it. With the integration of the theory of planned behaviour (TPB) and value-belief-norm theory (NAM), this study represents a “motivation-intention-behaviour” theoretical model for the systemic illustration of the antecedents of household waste sorting behaviour. A total of 541 questionnaires were administered in person in households in Jiaxing, China. Structural equation modelling with partial least squares was applied to analyse empirically. The results show that attitudes (ATT), subjective norm (SN), and perceived behavioural control (PBC) have a significant positive effect on the intention of household waste sorting (WSI), and the perceived policy effectiveness (PPE) has a positive and significant effect on the attitudes and waste sorting intention. The waste sorting intention has a positive and significant effect on waste sorting behaviour (WSB). In addition, individual characteristics have a significant impact on waste sorting behaviour, where respondents of women, higher income, and middle and old age are more willing to implement waste sorting behaviours. This study theoretically contributes to the literature by improving the understanding of the determinants of household solid waste sorting behaviour. It also provides several recommendations to improve existing policies at the practitioner level. These recommendations can be valuable references for waste management in China and other emerging economies.

The Chinese government is promoting a waste classification policy to solve the increasingly serious issue of cities being besieged by waste. Only few studies investigate whether residents’ understanding of garbage classification policy has an impact on their garbage classification behaviour and the nature of such impact. The purposes of this study are twofold: first, to explore conceptually the mechanism behind any moderating effects of perceived policy effectiveness (PPE) on waste classification and, second, to examine empirically if and how PPE influences the relationships between attitude (ATT), subjective norm (SN), perceived behaviour control (PBC), awareness of consequence (AC) and waste classification intention (WCI). The conceptual model of the study is developed by combining insights from the theory of planned behaviour, norm activation theory and value–belief–norm theory. A total of 351 questionnaires were administered in person to households in Bengbu, China. The results based on structural equation modelling with partial least squares show that PPE negatively moderates the relationship between AC and WCI. AC is more strongly related with the intention to classify waste when PPE is weaker. Likewise, when PPE is higher, people’s awareness of consequences becomes less important for WCI. The findings have significant implications in policymakers’ developing guidelines and offer a framework for implementing more effective waste classification policy.

The development of digitalization has brought about profound changes in government governance, enterprise production and residents’ daily lives. Whether digitalization inhibits environmental pollution is a question that needs to be answered urgently, as it is of great significance for addressing conflicts between human beings and the ecological environment. Moreover, it provides a theoretical basis for China’s green and sustainable development. China’s environmental governance model is in a new stage of “government, enterprise, and public” multifaceted governance. Therefore, this paper empirically analyzes the impact of digitalization on environmental governance performance and its mediating effect from a multidimensional perspective, using inter-provincial panel data from 2011 to 2020 as a sample and employing structural equation modeling. It is found that digitalization can significantly improve environmental governance performance, while mechanism analysis shows that digitalization improves environmental governance performance through improving government environmental regulation, public environmental participation, and corporate green technology innovation. Heterogeneity analysis shows that the contribution of digitization to environmental governance performance varies significantly according to geographic region and regional innovative capacity. Based on this, policy recommendations are proposed in terms of digitalization construction, the government, public and enterprises to form a multi-governance environmental governance system among the government, public and enterprises.

Environmental regulation is an important means to solve the environmental pollution challenges faced by economic development. Under the predicament of economic growth facing enormous environmental challenges, this paper aims to explore whether environmental regulation has a promoting effect on the circular economy performance, construct the mechanism through which environmental regulation impacts circular economy performance, as well as test regional heterogeneity on the impact of environmental regulation on circular economy performance under different levels of economic development. Exploring these factors is of great significance for meeting people’s demand for better living environments and promoting green and sustainable economic development. This paper takes interprovincial panel data of China from 2011 to 2022 as the sample and adopts structural equation modeling to explore the influence mechanism of environmental regulation on circular economy performance by constructing a measurement system of environmental regulation and circular economy performance. The results indicate the following: environmental regulation has a significant role in promoting circular economy performance, and there is a partial mediating effect of industrial structure upgrading within it; heterogeneity analysis shows that the promoting effect of environmental regulation on circular economy performance varies according to the different levels of regional economic development. Therefore, environmental regulation policies should be moderately adjusted to promote balanced economic and environmental development; environmental regulation policies should be enriched to promote industrial structure transformation and upgrading; regional synergistic governance should be improved to facilitate the promotion of the circular economy.

After the cancellation of the temporary corn storage system in 2016, the price of corn in China returned to market regulation, resulting in increased price volatility. This study focuses on monthly data from April 2016 to March 2023 in China. The partial least squares structural equation modeling (PLS-SEM) is employed to analyze the impact of corn supply and demand factors, substitute prices, monetary supply, international corn prices, and international energy prices on the volatility of corn prices in China. Results indicate that supply and demand factors are the most direct influencers of corn prices, with demand factors having the most significant impact. Monetary supply and substitute prices affect corn prices through the demand side. External factors mainly consist of international energy and corn prices. The impact of international energy on Chinese corn prices is achieved through international corn prices, which directly influence the prices in China. It is recommended to stabilize corn market prices by regulating corn supply and demand, to improve the monitoring and early warning mechanisms for international energy and corn prices, and to implement measures for prudent regulation of monetary supply.