How does soil pollution risk perception affect farmers' pro-environmental behavior? The role of income level

Assessing the impact of farmers' willingness to pay on different cultivated land attribute levels in China: an empirical analysis using the choice experiment method

Exploring farmers' willingness to pay (WTP) for cultivated land protection and its influencing factors is key to promoting their enthusiasm for participating in cultivated land pollution governance. However, existing studies often overlook the differences in farmers' preference for different levels of cultivated land attributes and the issue of intertemporal choice in farmers' WTP, thus lowering the effectiveness of cultivated land protection policies. Using survey data from 646 small farmers in Shandong, Jiangsu, and Zhejiang provinces of China, this study empirically analyzes the impact of time preference on farmers' WTP for cultivated land attribute levels by utilizing the choice experiment method, measures the relative importance of different cultivated land attributes and attribute levels to farmers, and calculates farmers' WTP for different cultivated land attribute levels. The results revealed that farmers are generally reluctant to pay for cultivated land protection. Time preference affects farmers' WTP for different levels of cultivated land attributes, with future-biased preference increasing farmers' WTP and present-biased preference inhibiting it. Furthermore, for farmers, the relative importance of cultivated land attributes is in the order of cultivated land quality, cultivated land surrounding landscape and ecological environment, cultivated land social security function, and cultivated land area. The most crucial cultivated land attribute level is the improved cultivated land quality, with an average WTP of 3290.625 CNY per hectare (approximately 459.117 USD). In contrast, the least important cultivated land attribute level is the unchanged cultivated land area, with an average WTP of 1001.250 CNY per hectare (approximately 139.697 USD). The economic benefits of cultivated land protection in the sampled provinces can reach 353.892 million CNY per year (approximately 49.376 million USD) annually, which is calculated based on vegetable planting area. Our results suggest that the government should diversify farmers' sources of income while increasing the amount of income, thereby reducing barriers to farmers' payment. Simultaneously, farmers' time preferences should be considered to guide them toward expecting long-term benefits and encouraging their active participation in cultivated land pollution governance. Moreover, cultivated land protection policies should match the preference of farmers for cultivated land attributes and attribute levels, and a limited fiscal fund should be allocated to the cultivated land attributes (i.e., cultivated land quality) and attribute levels (i.e., improved cultivated land quality) preferred by farmers to improve policy efficiency. This study highlights the importance of encouraging farmers to actively participate in cultivated land pollution governance and improving the allocation efficiency of the government's cultivated land protection fund.

Exploring mechanisms affecting environmental risk coping behaviors: evidence from China

Environmental risk issues pose a threat to human life and well-being. In order to reduce environmental risks, environmental risk response strategies have become increasingly vital. As the group most affected by environmental risks, the public environmental risk coping behaviors affect the effectiveness of environmental risk management. However, the public adoption of such behaviors mainly depends on their willingness. Therefore, the key to effective governance lies in guiding the public to voluntarily adopt appropriate environmental risk coping behaviors. The theory of environmental psychology provides relevant references for this. The internal psychological motivations of the public (including attitudes and subjective norms etc.) affect their choices of environmental risk behavior. The main purpose of this research is to explore the determinants underlying environmental risk coping behaviors using extending the theory of planned behavior by additional constructs (trust, risk perception, interaction satisfaction). The research applies a questionnaire survey method to collect data from the public living in the vicinity of two locations in China-an industrial area and a waste incineration plant in a Chinese city. The result of SEM shows that the public's trust in governments has a positive influence on the intention to collaborate, while the public's trust in the government and enterprises is negatively correlated with their intention to engage in confrontational behavior. Also, there is a positive correlation between confrontational intention and confrontational behavior, while the intention to cooperate may not necessarily result in collaborative behavior. Risk perception is not related to trust and the intention to collaborate, but it positively affects the intention to confront. The reason for the public to willingly take collaborative actions is not because they have perceived a high level of risk, and the public's high trust in the government can enhance their intention to take collaborative actions. It is thus clear that government credibility plays an important guiding role in public risk responsive behavior. The research findings provide policy recommendations for guiding public environmental risk coping behavior.

The mediating role of pro-environmental attitude and intention on the translation from climate change health risk perception to pro-environmental behavior

Climate change is a serious environmental issue appearing in China. As a public service institution operating around the clock, the negative impact of hospitals on the environment is evident, promoting their workers' pro-environmental behavior (PEB) through increasing climate change health risk perception (CHRP) is an effective method to protect the environment and achieve sustainable development. This study investigates how CHRP shapes pro-environmental attitude (PEA), pro-environmental intention (PEI), and pro-environmental behavior (PEB) among hospital workers. Using structural equation modeling (SEM) to determine the chain of causation from CHRP to PEB among hospital workers. The result shows that CHRP positively affects PEA and PEI, and PEI positively affects their PEB. In addition, although CHRP has no significant direct effect on PEB, it can play a crucial indirect effect through the mediating role of PEI. Moreover, the result of multiple regression shows that there are significant differences regarding PEA, PEI, and PEB.

Analytic and heuristic process for prudent antimicrobial use in animals: What are triggers and how do they work?

The over and misuse of antimicrobials in animal agriculture causes a prevailing crisis for humans, animals, and the environment. From the One Health approach perspective, the formation process of adopting prudent antimicrobial use (AMU), once established, can be used to mitigate this crisis. The study aimed to determine the analytic-based and heuristic-based process that evoked prudent AMU among animal farmers by synthesis of stimulus-organism-response framework and dual-system theory and to explore gender differences on risk-benefit trade-offs. A structural equation model was employed to test the proposed hypotheses with field survey data from 1100 small-scale farmers. The results reveal that for the analytic-based process, social influence, antimicrobial-related threats, and self-efficacy are all salient stimuli having indirect effects on intention via the two organisms of perceived risks and perceived benefits. For heuristic-based process, farmers' altruistic value orientations are positively associated with intention. An interesting fact is that threat awareness has two opposite effects on intention, namely, the suppression effect and the enhancement effect. Moreover, the negative effect of perceived risks on intention is greater among female farmers, compared to male counterparts. These findings provide valuable insights for the forming of theory-based intervention strategies to perfect China's national action plan.

Mulch film to plastic debris: A survey of agricultural soils of Hebei Province, North China

A significant amount of residual plastic film fragments (RPFF) accumulate in soil because of the widespread use and insufficient recycling of mulch films, substantially contaminating the ecosystem with plastic waste. However, information on RPFF abundance in agricultural soils that use long-term plastic film mulch is limited. In this study, 304 soil samples from 11 cities in Hebei Province, China, were used to examine the presence of RPFF in agricultural soils. We discovered that the main recycling techniques used in Hebei Province were manual picking (48.00%) and manual-mechanical recycling (31.90%), with the majority of recovered mulch (63.15%) disposed as waste. Residual plastic film fragment concentrations ranged from 0.48 to 155.33 kg/ha, with an average of 25.23 kg/ha. The north-central portion of Hebei Province has a more severe residual film pollution problem than the other regions. Notable variations in RPFF amounts were observed among plots planted with different crops and with years of mulching, peaking at 29.50 kg/ha after 5-10 years of mulching. Consequently, to reduce the amount of plastic waste that continues to accumulate in soils owing to agricultural needs, the management of plastic mulch, including its use, recycling, and disposal must be improved.

The mechanism of internal and external efficacy influences residents' pro-environmental behavior through environmental willingness

The Chinese government's environmental conservation efforts require the active participation of all society. This study investigated how internal and external efficacy influence pro-environmental behavior with environmental willingness as a mediator. This study employed a structural equation model to analyze the data from 1499 survey questionnaires. The analysis revealed that both internal and external efficacy can enhance individuals' pro-environmental behavior in the private and public spheres. External efficacy has a stronger impact on environmental willingness and public sphere environmental behavior, while internal efficacy more significantly influences private sphere environmental behavior. Additionally, environmental willingness only mediates efficacy and public sphere environmental behavior. The innovation of this study is the examination of internal and external efficacy from the perspective of different sources and the comparison of their differential impacts on pro-environmental behavior. Relevant policies should effectively enhance residents' internal and external efficacy to comprehensively improve their level of pro-environmental behavior.

From clicks to change: The role of Internet use in fostering environmental sustainability awareness

The purpose of this paper is to explore how Internet use affects an individual's environmental sustainability awareness. To this end, we adopt data from the 2021 wave of Chinese General Social Survey, measure the environmental sustainability awareness by 14 categories of items, and employ a treatment effect model to identify the relationship. The results reveal that Internet use is significantly associated with an increase in people's environmental sustainability awareness. Our study sheds light on the underlying mechanism of the positive correlation via an information-based channel. Furthermore, we also find that the facilitating effect is more pronounced in economically developed regions. This work provides a new insight into the determinants of environmental sustainability awareness and offers several implications to conduct sustainable development policies in the digital era.

Exploring the Application and Prospects of Synthetic Biology in Engineered Living Materials

At the intersection of synthetic biology and materials science, engineered living materials (ELMs) exhibit unprecedented potential. Possessing unique "living" attributes, ELMs represent a significant paradigm shift in material design, showcasing self-organization, self-repair, adaptability, and evolvability, surpassing conventional synthetic materials. This review focuses on reviewing the applications of ELMs derived from bacteria, fungi, and plants in environmental remediation, eco-friendly architecture, and sustainable energy. The review provides a comprehensive overview of the latest research progress and emerging design strategies for ELMs in various application fields from the perspectives of synthetic biology and materials science. In addition, the review provides valuable references for the design of novel ELMs, extending the potential applications of future ELMs. The investigation into the synergistic application possibilities amongst different species of ELMs offers beneficial reference information for researchers and practitioners in this field. Finally, future trends and development challenges of synthetic biology for ELMs in the coming years are discussed in detail.

Impact of physical and social living environments on pro-environmental intentions

The living environment might play an important role in shaping the pro-environmental intentions of the people. However, there was limited research on how the living environments influenced the pro-environmental intentions of people. The objectives of this study are to evaluate the direct effects of physical and social environments on pro-environmental intentions as well as the mediating effects of environmental attitudes and life satisfaction. Structural Equation Modeling was used with data extracted from the 2020 Taiwan Social Change Survey database (n = 1671). Results showed direct positive associations of both physical and social environments with pro-environmental intentions (β = 0.133 and β = 0.076, respectively) as well as indirect positive associations via the life satisfaction-mediating pathway (β = 0.031 and β = 0.044, respectively). The physical environment negatively influenced pro-environmental intentions through the environmental attitude pathway (β =  - 0.255) with unpleasant neighborhood enhancing the pro-environmental intentions of residents. Taken together, the overall effect of the physical environment was negative (β =  - 0.093) while that of the social environment was positive (β = 0.109). The most important factors for the physical and social environments were disturbance and livability in north, central and south Taiwan, neighborhood pollution and interestingness in east Taiwan. Accordingly, minimizing disturbance and neighborhood pollution of the physical environment could have the highest effect on pro-environmental intentions enhancement in western and eastern Taiwan, respectively. For the social environment, improving livability in the west and interestingness in the east would have an even larger impact on pro-environmental intentions. This study emphasized the importance of neighborhood environment on the environmental intentions of the people. The study also identified the important factors for policymakers to target to achieve the best effect on improving environmental intentions.

Examining the Relationship between Individualism and Pro-Environmental Behavior: The Moderating Role of Social Cohesion

Combining Hofstede's cultural dimensions, value-belief-norm theory, and social exchange theory, this study explores the impact of individualism and social cohesion on pro-environmental behavior (PEB) as well as the moderating role of social cohesion in the individualism-PEB link in the context of Korean society. Using the 2021 Korean General Social Survey and multiple linear regression analyses, we found that individualism is negatively related to PEB, whereas social cohesion is positively related to PEB. Further analysis showed that social cohesion attenuates the negative relationship between individualism and PEB. Our findings suggest that although individuals with high levels of individualism are less likely to perform PEB than those with a high level of collectivism, social cohesion is a valuable community resource that encourages them to engage in eco-friendly activities even when they seek to achieve person-oriented goals and pursue their own interests. The implications and contributions of these findings regarding environmental psychology are discussed.

Spatial effects of the agricultural ecosystem services based on environmental kuznets curve in Mengyin county, China

Worldwide most agroecosystems effort to increase production and yields and leads to damages of a series of non-provisioning ecosystem services (ESs). To fill in the knowledge gaps pertaining to the understanding of complex relationship between agricultural harvests and other ESs, therefore this study aims to estimate the existence of Environmental Kuznets Curve (EKC) for agricultural ESs by incorporating the spatial factors. Based on the test of the spatial autocorrelation of agricultural ESs, the estimation results of spatial model are compared with general regression to explain the spatial effect of agricultural ESs. The results show that (1) contrary to expectation, the curve of the nonlinear relationship between agricultural ESs and annual household income is an inverted U-shape, and not an upright U-shape; (2) compared to non-spatial model, the turning point of the inverted U-shaped curve for agricultural ESs under the direct effect would happen earlier and happen later under the indirect effect; (3) years of formal education, vegetation coverage of field margin and cultivated land area have significantly impact on local agricultural ESs, and local perennial crops has significantly impact on agricultural ESs of neighboring villages. Results of this study have a promising application prospect to promote sustainable development of agriculture.

Influencing factors of community residents' pro-environmental behavior in East Dongting Lake National Nature Reserve under the policy intervention

In the study of protected areas, the "Fences & fines" approach is increasingly becoming acknowledged as obsolete and ineffectual, and there is mounting evidence suggesting that the "Community-based conservation" approach is acquiring consideration. It is significant to identify which protection model or factors perform a definitive part in China. Taking the East Dongting Lake National Nature Reserve in China as a survey site, this paper utilizes semi-structured interviews and random questionnaires surveyed 431 households to investigate the relationship between "community-based conservation" approaches such aslegal system, ecological compensation, environmental education, community participation, concessions, livelihoods, job provision, intrinsic motivation and pro-environmental behavior. The regression results declare that intrinsic motivation (β = 0.390) and legal system (β = 0.212) are the most effective factors impacting on pro-environmental behavior; concessions has a negative conflict on preservation;but other "community-based conservation" approaches had insignificant positive impacts on pro-environmental behavior. Further mediating effects analysis indicated that intrinsic motivation (B = 0.3899, t = 11.9694, p < 0.01) mediates between legal system and pro-environmental behavior of community residents, legal system promotes pro-environmental behavior by promoting intrinsic motivation, which is more effective than legal system promoting pro-environmental behavior directly. This demonstrates that "Fence and fine approach" still is an effective management tool which can shape community residents' positive attitude towards conservation and pro-environmental behavior especially protected areas with large communities. And appropriate "community-based conservation" approaches can mitigate conflicts between special groups with the combination of these two approaches, the management of protected areas can be successful. This supplies a valuable real-world case for the current debate on conservation and improved human livelihoods.

When Artificial Intelligence Voices Human Concerns: The Paradoxical Effects of AI Voice on Climate Risk Perception and Pro-Environmental Behavioral Intention

Artificial intelligence (AI)-enabled text-to-speech transformation has been widely employed to deliver online information in various fields. However, few studies have investigated the effect of the AI voice in environmental risk communication, especially in the field of climate change, an issue that poses a severe threat to global public health. To address this gap, the current study examines how the AI voice impacts the persuasive outcome of climate-related information and the potential mechanism that underlies this process. Based on the social and affect heuristics of voice, we propose a serial mediation model to test the effect of climate-related information delivered by different voice types (AI voice vs. human voice) in eliciting risk perception and motivating pro-environmental behavioral intention. Through an online auditory experiment (N = 397), we found the following. First, the AI voice was as effective as the human voice in eliciting risk perception and motivating pro-environmental behavioral intention. Second, compared with human voice, the AI voice yielded a listener's lower level of perceived identity oneness with the speaker, which decreased risk perception and subsequently inhibited pro-environmental behavioral intention. Third, compared with human voice, the AI voice produced a higher level of auditory fear, which increased risk perception and thereby led to stronger pro-environmental behavioral intention. The paradoxical role of the AI voice and its wise use in environmental risk communication for promoting global public health are discussed.

Emerging soil contamination of antibiotics resistance bacteria (ARB) carrying genes (ARGs): New challenges for soil remediation and conservation

Soil plays a vital role as a nutrient source for microflora and plants in ecosystems. The accumulation and proliferation of antibiotics resistance bacteria (ARB) and antibiotics resistance genes (ARGs) causes emerging soil contamination and pollution, posing new challenges for soil remediation, recovery, and conservation. Fertilizer application in agriculture is one of the most important sources of ARB and ARGs contamination in soils. The recent existing techniques for the remediation of soil polluted with ARB and ARGs are very limited in terms of ARB and ARGs removal in soil. Bioelectrochemical remediation using bioelectrochemical systems such as microbial fuel cells and microbial electrolysis cells are promising technologies for the removal of ARB and ARGs in soil. Herein, diverse sources of ARB and ARGs in soil have been reviewed, their effects on soil microbial diversity have been analyzed, and the causes of ARB and ARGs rapid proliferation in soil are explained. Bioelectrochemical systems used for the remediation of soil contaminated with ARB and ARGs is still in its infancy stage and presents serious disadvantage and limits, therefore it needs to be well understood and implemented. In general, merging soil contamination of ARB and ARGs is an increasing concern threatening the soil ecosystem while the remediation technologies are still challenging. Efforts need to be made to develop new, effective, and efficient technologies for soil remediation and conservation to tackle the spread of ARB and ARGs and overcome the new challenges posed by ARB and ARGs contamination in soil.

Pride and guilt as place-based affective antecedents to pro-environmental behavior

The interrelated concepts of place attachment and place meaning are antecedents to pro-environmental behavior and essential for supporting decisions that foster relationships between people and places. Previous research has argued that affect is instrumental in conceptualizing place-related phenomena but has not yet been considered in terms of discrete emotions. We disentangled the empirical relationships between concepts of place and the emotions of pride and guilt to understand how they collectively contributed to individuals' decisions about environmental sustainability. Specifically, we conducted an online survey of residents living in the Midwestern US and asked questions about their attachments to places and their place-related behavior. We then tested a latent variable path model with first- and second-order factors that shaped the behavioral intentions of survey respondents, as well as evaluated the psychometric properties of a place meaning scale, to uncover the range of reasons why human-nature relationships were formed. Our findings show that multiple place meanings predicted place attachment, which in turn predicted the discrete emotions of pride and guilt. Place attachment, pride, and guilt positively correlated with pro-environmental behavior. We also observed that the relationships between multi-dimensional conceptualizations of place attachment and behavioral intentions were partially mediated by pride but not guilt, as hypothesized in response to the broaden and build theory of positive emotions. This study develops theoretical insights to clarify how cognitive-emotional bonding can lead people to behave in more environmentally friendly ways.

Pro-Environmental Behavior: Examining the Role of Ecological Value Cognition, Environmental Attitude, and Place Attachment among Rural Farmers in China

Studies on the factors that influence farmers' pro-environmental behavior could promote environmental management in rural areas. Jinan of China was selected as the case study area in this study. A structural equation model and multiple hierarchical regression analysis were applied to analyze the influence mechanism of ecological value cognition on pro-environmental behavior. Environmental attitudes were set as the mediating variable and place attachment was selected as the moderating variable. The results showed that (1) ecological value cognition exhibited a positive influence on pro-environmental behavior in both direct and indirect ways. The indirect influence was mediated by environmental attitude. (2) Place identity and place dependence showed a positive direct influence on pro-environmental behavior. (3) It is suggested that in order to improve pro-environmental behavior, enhancing ecological value cognition, cultivating farmers' positive environmental attitude, increasing farmers' place attachment, and releasing reward and punishment measures are good strategies. The findings in this study are important to the improvement of the rural ecological environment and the quality of life of farmers. Meanwhile, the findings shed light on the construction process of ecological civilization and the improvement of public welfare.

What motivates farmers to adopt low-carbon agricultural technologies? Empirical evidence from thousands of rice farmers in Hubei province, central China

Low-carbon agriculture is essential for protecting the global climate and sustainable agricultural economics. Since China is a predominantly agricultural country, the adoption of low-carbon agricultural technologies by local farmers is crucial. The past literature on low-carbon technologies has highlighted the influence of demographic, economic, and environmental factors, while the psychological factors have been underexplored. A questionnaire-based approach was used to assess the psychological process underlying the adoption of low-carbon agricultural technologies by 1,114 Chinese rice farmers in this paper, and structural equation modeling (SEM) was empirically employed to test our theoretical model. The results indicated that farmers' low-carbon production attitude and behavioral efficiency perception directly and positively affected the adoption of low-carbon agricultural technologies and indirectly affected it via low-carbon production intention. Besides, production implementation cost and socio-environmental factor could moderate the direct effects of low-carbon production attitude, behavioral efficiency perception, and low-carbon production intention on farmers' adoption of low-carbon agricultural technologies. In this respect, socio-environmental factor yielded more significant moderating effects. Additionally, this research provides policy implications for promoting low-carbon agricultural technologies in developing countries and regions.

Quality of Chinese government environmental health information disclosure during COVID-19 pandemic: Satisfaction survey on University students

Government played a vital role during the COVID-19 pandemic by disclosing related environmental health information to the public. A satisfaction survey is often used to evaluate the public's satisfaction of the government's information disclosure while reflecting problems in the current disclosure system. As University students generally have better cognitive skills, they efficiently received related information during the pandemic, and therefore 717 questionnaires completed by University students were selected for this study. During the pandemic, the quality of the government's environmental health information disclosure system ranked at 13.89, marginally higher than average. Moreover, the timeliness and content adequacy of the disclosure system ranked at a level slightly above average. By adopting Hayes PROCESS Model 4 and 8, this study found that there is a direct impact of environmental health knowledge and environmental health awareness on satisfaction. Furthermore, University students' environmental health knowledge and awareness enhanced satisfaction through the mediating effect of self-reported environmental behavior. Finally, this study attempted to discover the conditions under which environmental health knowledge and awareness would have a greater direct and indirect influence on satisfaction, that is, the reverse moderating effect of household income level. In addition, this paper offers policy recommendations to enhance quality of government environmental health information disclosure system.

Consumers’ Willingness to Pay for Rice from Remediated Soil: Potential from the Public in Sustainable Soil Pollution Treatment

Remediation of polluted soil on arable land is mostly funded by governments, with the understanding that the public’s willingness to pay for food produced on remediated soil can help establish a soil remediation model with more stakeholders. In contrast to previous studies that have focused on soil-remediation technologies’ diffusion, this study employs choice experiments to evaluate market preferences for crops grown from lands of varying quality that are reflected in consumers’ willingness to pay (WTP). The results show that consumers are willing to pay a small premium for rice labeled with remediated-soil claims, but the WTP for remediated-soil claim is less than that of an uncontaminated-soil claim. Consumers’ WTP for remediated-soil claim increases by 29.03% when combining with a well-known brand, and it increases by 71.17% when information is provided about the efficacy of cadmium and heavy-metal-pollution remediation; however, combining with the region-of-origin label does not increase WTP. We also find that, in early stages of promotion, online stores may reach target consumers more easily. Based on these results, we propose four implications for policymakers.

Air pollution and perception-based averting behaviour in the Jinchuan mining area, China

This paper presents a simultaneous equation, knowledge and perception-based averting behavior model of health risk caused by air pollution, with application to the Jinchuan mining area, China. Three types of averting behavior are distinguished: (a) purchases of purifying equipment, plants, or masks; (b) purchases of preventive or curing medication or food; and (c) adjustment of daily outdoor activities. Two types of perceived health risk are distinguished: (a) risk due to the intensity of exposure and (b) risk caused by the hazardousness of pollutants. The estimations show that an increase in perceived air pollution of two or more days a week leads to a restriction of outdoor activities of approximately 90 min per person per week. Another result is that the average annual household expenditure on air filters, foods, or medicines is 206.25 CNY (US$ 31.73) to prevent the hazardousness of air pollution. The total willingness to pay for air quality improvement is 2.95% of annual net household income. Because air quality improving investments can only be implemented in the medium or long run, daily disclosure of air quality is an adequate short-run policy handle to assist residents to take the right kind and level of risk-reducing actions.

A New Framework of Green Transition of Cultivated Land-Use for the Coordination among the Water-Land-Food-Carbon Nexus in China

As a fundamental solution to the ecological problems of resources and environment, the Green Transition of Cultivated Land-use (GTCL) has become an inherent requirement for promoting ecological progress and implementing the food security strategy in the new era. This paper proposed a theoretical framework of GTCL and constructed a GTCL development index system based on four aspects: water, land, food and carbon; then, by applying a comprehensive evaluation model, a coupling coordination model and exploratory spatial data analysis, the development level of GTCL in China’s 31 provinces, municipalities and autonomous regions in 2000, 2005, 2010, 2015 and 2020 was evaluated and the spatial and temporal rates of change of “water, land, food and carbon” (WLFC) and their coupling coordination were finally analyzed to reveal the “water, land, food and carbon” effect of GTCL. Results showed that the systemic changes of WLFC and its coupling coordination degree of GTCL presented a spatial and temporal coincidence with a high degree of consistency; from 2000 to 2020, the overall GTCL rate in all Chinese provinces, municipalities and autonomous regions showed a “W”-shaped fluctuation uptrend. In the past five years, the development level of GTCL was higher in Northeast China, followed by Central China and North China, while South China was at a low level. In addition, WLFC showed a more obvious “W”-shaped fluctuation, with higher coupling coordination in Northeast China in good coordination and lower coordination in East China and Southwest China. Therefore, according to the results of the study, areas were divided into: benefit leading area, quality improvement area, connotation tapping potential area, ductile development area and ecological reserve area for the regulation of GTCL in all Chinese provinces, municipalities and autonomous regions.

Impact of Land Management Scale on the Carbon Emissions of the Planting Industry in China

A change in agricultural land management scale leads to the recombination and adjustment of production factors, which have an important impact on agricultural carbon emissions. There are few studies on the connection between the scale of land management and agricultural carbon emissions. In this study, we empirically examined the relationship between planting scale and agricultural carbon emissions using the threshold model, which allows the data to endogenously generate several regimes identified by the thresholds. The results showed that from 2003 to 2018, carbon emissions from planting first increased and then decreased, reaching their highest in 2015. Across the whole country in the main rice- and wheat-producing regions, the scale of planting land has a threshold effect on agricultural carbon emissions, showing an inverted “U” shape. Carbon sinks and natural disasters significantly affected planting carbon emissions in the above three regions. The amount of fiscal support for agriculture significantly affects planting carbon emissions in the national and main wheat-producing regions, while peasants’ per capita income significantly affects planting carbon emissions in the main rice- and wheat-producing regions. This study provides policy makers with new ideas, in that continuously expanding the scale of agricultural land management is conducive to reducing agricultural carbon emissions.

Social Network, Sense of Responsibility, and Resident Participation in China's Rural Environmental Governance

Based on a survey of 2343 rural residents in China, this paper adopts a binary logistic regression model as the analytical tool to study the impact of rural residents' social network and sense of responsibility regarding their participation in environmental governance. The results show that the cost, frequency and scope of social network activities have positive and significant influences on resident participation in rural environmental governance. The cost of a social network is conducive to building a rural social network, enhancing the connection of interests and promoting the formation of a rural community. Extending social network objectives from family members to villagers can improve the cultural identity and emotional identity of rural residents. The increase in the frequency of social network activities can not only enhance trust among residents, but also reduce the cost of environmental governance mobilization. The scope of a social network acts as an inhibitor whereby social interaction beyond the scope of rural areas will reduce identification with rural emotions. The four dimensions, including responsibility cognition, responsibility will, responsibility emotion and responsibility behavior have significant influences on resident participation in rural environmental governance. Residents' sense of responsibility plays the role of an introverted driving force for them to take part in rural environmental governance, which itself helps to overcome "non-participation" behaviors of "rational smallholders" to a certain extent. Furthermore, it endows rural environmental governance with resilience. So, it is of significance to enhance rural residents' social networks and to improve rural residents' cognition of collective responsibility.

The Impact of Farmers’ Perception on Their Cultivated Land Quality Protection Behavior: A Case Study of Ningbo, China

Farmers’ protection behavior largely depends on their perceived value of cultivated land quality protection. However, existing research shows that the impact path of these perceived factors on farmers’ cultivated land protection behavior is not clear. Based on the survey data of 288 farmers in Ningbo City, this study empirically analyzed the impact of farmers’ perception on their cultivated land quality protection behavior through structural equation modeling (SEM). The results showed that farmers’ cultivated land quality protection behavior largely depended on perceived value, and they followed the logic paradigm of “perceived tradeoff→perceived value→behavioral intention→behavioral response”. Among them, farmers’ perceived value comes from farmers’ comprehensive tradeoff of benefits and risks in the process of cultivated land quality protection. In other words, improving farmers’ perceived benefits and reducing perceived risks is conducive to improving farmers’ perceived value of cultivated land quality protection. The above findings are helpful to improve farmers’ behavior of farmland land quality protection and provide new ideas and empirical basis for the design and improvement of cultivated land quality protection policies.

The Relationships Between Family Characteristics and Undergraduate Students' COVID-19 Responses: A Cross-Sectional Study in China

The COVID-19 pandemic has dramatically threatened the post-secondary education setting. It is crucial to understand the factors that potentially affect college students' COVID-19 responses, such as risk awareness, knowledge of the disease, and pandemic preparedness. However, there is insufficient literature on whether family characteristics contribute to students' COVID-19 responses. Leveraging the data from self-administrated survey – titled College Students' Epidemic Preparedness in the Post-COVID-19 Era (CSEPPCE), we find that students from high-income families were more likely to have a greater awareness of risk and better knowledge of COVID-19. Additionally, students whose parents were employed by the government had a higher probability of knowing COVID-19 symptoms and wearing masks. However, the relationships among risk awareness, knowledge, and family income did not meaningfully vary by sex or ethnicity. Implications and future directions are discussed.

Social Network, Cognition and Participation in Rural Health Governance

Rural health governance is an important part of low-carbon green life, which is also related to the sustainable development and population health project in rural areas. Based on the survey data of 2343 rural residents in China, this study adopted a binary logistic regression model to explore the effects of rural residents’ social network and cognition on their participation in rural health governance. The research results show that only less than 30% of the respondents participated in rural health governance, and the proportion of rural resident participating is not high. Both their social network and cognition have a significant impact on their participation in rural health governance. Introverted communication helps strengthen the connection between rural residents, form the network and structure of rural social communication, build emotional links and common interests, and form a common cultural understanding paradigm and action framework. The extraverted communication means that rural residents gradually break away from the social network of acquaintances, which is not conducive to building a rural community. Rural residents’ understanding of behavior begins to deviate from rural culture, customs and emotional values, and the binding force of traditional culture is reduced, making it difficult to motivate them to participate in rural public life. Policy cognition can improve rural residents’ recognition of the value and significance of health governance. Responsibility awareness is the internal driving force for rural residents to participate in health governance, which can also reduce the governance cost of rural managers. Based on this, increasing rural residents’ introverted communication and cultivating their sense of responsibility are key to promoting their participation in rural health governance.

Contract farming, social trust, and cleaner production behavior: field evidence from broiler farmers in China

Pollution from livestock and poultry is the main source of rural pollution, which directly affects the rural ecological environment as well as the quality and safety of agricultural products. Based on field experiment data on broiler farmers in China, this paper analyzes farmers' cleaner production behavior from the perspective of incomplete contracts and social trust. We find that social trust can promote farmers' cleaner production behavior. Moreover, our evidence suggests that contract farming (CF) has a significant positive effect on farmers' social trust and cleaner production behaviors. Further analysis indicates that CF not only directly promotes farmers' cleaner production, but can also indirectly promote farmers' cleaner production by improving their interpersonal trust and institutional trust. Overall, this paper offers a new point of view for improving the rural environment and sheds light upon how the government can formulate relevant policies to promote farmers' cleaner production behavior.

Risk Preference, Health Risk Perception, and Environmental Exposure Nexus: Evidence from Rural Women as Pig Breeders, China

Rural women are an integral part of the agricultural economy. Still, their exposure to environmental pollution, especially in the context of risk preference and health risk perception, has not gained much attention in the existing literature. So to explore this notion, a survey and experimental data of 714 rural Chinese women as pig breeders are taken, we innovatively evaluate the degree of environmental exposure from the pre-exposure, in-exposure, post-exposure intervention of women breeders, and two-stage least squares (2SLS) method is employed to address the endogeneity issue between health risk perception and environmental exposure. The results show that rural women breeders suffer from severe environmental exposure, and the degree of environmental exposure is up to 72.102(Min = 0, Max = 100). Risk preference also emerges as a crucial determinant behind their environmental exposure, but health risk perception significantly deters the degree of environmental exposure. The health risk perception can offset risk preference effects on women breeders' environmental exposure by 15.15%. Moreover, considering the heterogeneity of the breeding scale, it is found that the impact of risk preference and health risk perception on women breeders' environmental exposure is an inverted U-shaped relationship, i.e., the results are at the turning stage when the breeding scale is 31-40 heads. Based on the empirical findings, the study offers guidelines for policymakers to enhance awareness amongst women breeders regarding health and pollution and encourage them to opt for environment-friendly breeding. Moreover, this research also has substantial guiding significance for related research on environmental exposure of rural women in other developing countries.

Changes of public risk perception in China: 2008-2018

This paper characterizes the risk acceptance of the Chinese public based on a psychometric paradigm and documents its change by conducting a nationally representative longitudinal survey spanning 10 years. We explore key factors that influence the acceptance of seven typical risks: drinking water pollution, interior decoration, electromagnetic radiation, air pollution, chemical plants, public transportation, and natural hazards, reflecting the general and referential changes in risk perception. The results show a general decrease in the acceptance of all of these risks in the examined decade, especially in economically developed areas. Different types of risk perception varied, but environmental risks had similar trends of perception. The perceived benefits from these risks and local GDP had the greatest impact on risk acceptance. The interaction between the changing perspectives of the emerging middle class and the evolving hazard risk landscape may be the reasons for the reduction in risk acceptance. The main findings offer insights for effective risk education and communication as well as sustainable risk management strategy.

Personal relative deprivation and pro-environmental intentions

Personal relative deprivation (PRD; the belief that one is worse off than other people who are similar to oneself) is associated with a reduced willingness to delay gratification, lower prosociality, and increased materialism. These results suggest that PRD may play a role in shaping people’s willingness to act to protect the natural environment. We report 3 studies that investigate a possible link between PRD and pro-environmental intentions (ENV). Study 1 was an exploratory study using a US sample; Studies 2 and 3 were pre-registered replications using UK and US samples, respectively. In each study, participants self-reported PRD and ENV; they also indicated their subjective social status (where they come on a national “ladder” of social class) and reported their income, education, age, and gender/sex. All three studies found a negative correlation between PRD and ENV. However, multiple regression analyses in which ENV was regressed on PRD and all other variables simultaneously indicated that the unique effect of PRD was small and, for Studies 2 and 3, the 95% confidence intervals included zero. No other variable emerged as a clear unique predictor across all three studies. The data suggest that PRD may be associated with reduced intention to act pro-environmentally, but the causal status of this association, and its relationship to other demographic and social-status variables, remains a topic for further research.

A Win–Win Scenario for Agricultural Green Development and Farmers’ Agricultural Income: An Empirical Analysis Based on the EKC Hypothesis

Due to severe resource and environmental constraints, agricultural green development is a vital step for the low-carbon development of China. How to achieve the goal of a win–win scenario that simultaneously improves agricultural green total factor productivity (GTFP) and farmers’ agricultural income was the main focus of this study. Based on the panel dataset for 31 provinces in China from 2000 to 2018, this study calculated the agricultural GTFP using the global Malmquist–Luenberger (GML) index to measure the green development of agriculture. Furthermore, this study investigated the relationship between the agricultural GTFP and agricultural income in an environmental Kuznets curve (EKC) framework, together with the key factors affecting agricultural GTFP. The main results show that, first, driven by technical progress, the agricultural GTFP gradually increased across the country, while there existed a certain degree of heterogeneity in the growth of different regions. Second, the relationships between the agricultural GTFP and agricultural income exhibited a significant U-shape for the whole country and the four regions, indicating that a win–win scenario can be achieved between green development and income level. Third, industrialization and urbanization negatively affected agricultural GTFP, capital deepening played a positive role, and due to the mediated effect of capital deepening, the outflow of the agricultural labor force did not cause substantial harm to agricultural GTFP. The findings of our study provide useful policy implications for the promotion and development of agriculture in China.

How Does Improve Farmers’ Attitudes toward Ecosystem Services to Support Sustainable Development of Agriculture? Based on Environmental Kuznets Curve Theory

Agroecosystems are complex socio-ecological systems that are managed by farmers to achieve desired outcomes, including economic income and environmental benefits contributed by ecosystem services (ES). Therefore, understanding farmers’ attitudes for ES will provide references for targeted agricultural environment management, which is critical to achieving the sustainable development of agriculture. The aim of this study is to identify the attitudes of farmers regarding ES, and to test whether and how annual household income and social demographic characteristics affect farmers’ attitudes toward ES. Using face-to-face interviews to collect data and the hypothesis of environmental Kuznets curve (EKC) to provide an analytical framework, the results reveal that, in general, the perceptions of farmers’ attitudes on ES are highly complex, caused by characteristics of the farmers. Furthermore, the inflection points of the U-shaped curves, where priorities change from increasing income to paying more attention to waste assimilation and biological pest control, are identified at 17,091 and 25,071RMB, respectively. Initiatives that aim to achieve sustainable agricultural development by strengthening ES provisions should be sensitive to farmers’perceptions. Therefore, it is necessary to strengthen farmers’ educational attainment, concentrate fragmented cultivation area and create reasonable incentives for preserving and restoring of ES and increasing farmers’ income together, which then can enhance the positive outcomes from income growth.

Influences of Migrant Construction Workers' Environmental Risk Perception on their Physical and Mental Health: Evidence from China

Employing Chinese General Social Survey 2013 data (N = 678), this study examines the influences of migrant construction workers' environmental risk perception (ERP) on their physical and mental health. The ERP of migrant construction workers is characterized by six dimensions: perceptions of air pollution, industrial waste pollution and noise pollution at working sites, and perceptions of domestic waste pollution, water pollution and food pollution at living sites. The results indicate that migrant construction workers with stronger ERP have better physical and mental health. The results also suggest the influences of ERP on the physical and mental health of migrant construction workers with different gender and age (<50 and ≥50 years) are heterogeneous. Perceptions of industrial waste pollution, noise pollution and domestic waste pollution significantly affect female workers' physical health, but not that of male workers. The six dimensions of ERP all significantly influence male workers' mental health, while except for domestic waste pollution perception, the other perceptions do not influence that of female workers. Perceptions of air pollution, domestic waste pollution, and water pollution significantly influence physical health of workers aged 50 and above, while those of ERP do not work on that of workers younger than 50. Perception of food pollution significantly influences mental health of workers younger than 50, but not that of workers aged 50 and above. The seemingly unrelated regression shows the results in this paper are robust.