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Offering organic food is a new trend in the hospitality industry seeking sustainable competitiveness. Premiums and information barriers impede continued growth in organic consumption. This study aims to explore the role of comparative advertising (CA) in organic food communication. Three empirical studies were used to verify the effect of CA vs. non-comparative advertising (NCA) on consumers’ willingness to pay a premium (WTPP) for organic food, examining how benefit appeals (health vs. environmental) and consumers’ organic skepticism affects CA. The results indicate that matching CA and health appeals increase consumers’ WTPP, while environmental appeals have no significant differences between the CA and NCA groups (Study 1). Information persuasiveness mediates the interaction between CA and benefit appeal on WTPP (Study 2). CA increases WTPP among consumers with high organic skepticism, while the interaction between CA and health appeal is only effective for low skepticism consumers (Study 3). The findings unravel and explain the mechanics of how CA works in organic products, which can help restaurants, retailers and tourist destinations advertise organic food to increase consumers’ WTPP.

Background: Cancer caregivers are the main supporter for the tumor patients, they not only need to provide daily nursing to the patients, but also suffering the pressure from economy, emotion and even family members. The mental health of tumor patient is mostly noticed, while not caregivers. The mental health of caregiver greatly affected the nursing quality and even the treatment outcomes. In the current study, the mechanisms underlying the links between caregiver burden, benefit finding, mental health, and rumination in those caring for people with esophageal cancer were examined. Methods:The study was using a convenience sampling, 166 esophageal cancer patients in 2 general hospitals in Jiangsu Province, China, and caregivers of patients were included after excluded the nonconforming patients. Data were collected using investigator-developed questionnaires, the Benefit Finding Scale (BFS), the Event-Related Rumination Inventory (ERRI), the Zarit Burden Interview (ZBI), and the Hospital Anxiety and Depression Scale (HADS) during May 2020 to December 2020. The results were analyzed by SPSS, and the chain mediating effect was analyzed by the the SPSS PROCESS Macro Model. Results:The study comprised 166 caregivers with an average age of (59.96±11.48) years, most of them were female (85.5%). The ZBI was positive correlated with HADS (r=0.882, P<0.01), and negative correlated with BFS (r=−0.873, P<0.01). Intrusive rumination and deliberate rumination in caregivers were negatively correlated (r=−0.901, P<0.01) and positive correlated (r=0.904, P<0.01) with BFS scores, respectively. Furthermore, research have discovered a chain mediation impact of benefit finding and rumination between caregiver burden and psychological well-being among carers of esophageal cancer patients. Conclusions:The findings of this study imply that benefit finding and rumination are crucial components of the coping strategy used to buffer against negative emotion (such as anxiety and depression). Therefore, the mental health of caregivers should also be noticed, and health care professionals should provide targeted interventions to increase the caregiver's level of benefit finding and promote deliberate ruminative thinking.

Pesticides are chemicals that can improve the efficiency of agricultural production, but also cause harm to human health and the environment. Besides effective supervision means, prevention work is also indispensable for pesticide residue safety in agricultural products. The Shuangliu and Pidu districts of Chengdu, capital city of Sichuan Province, China, were selected as the focus areas. Pesticide residue levels in leafy and starchy vegetables were measured for 15 months, analyzed with paired-sample t-tests to construct four ARIMA time series models. The results showed that pesticide residue levels of different types of agricultural products in the same area as well as those of the same agricultural products in different areas differed within the same time interval. Meanwhile, the pesticide residue levels of different agricultural products and areas showed distinct seasonal characteristics and variations. The ARIMA models were effective for short-term forecasting of agricultural pesticide residue levels. They could be used in related fields to predict crop pesticide residue levels pre-emptively based on actual usage patterns, crop type, season, and other parameters. The findings in this study may help government and traceability agencies releasing early warnings of potential agricultural product pesticide contamination. It may also help mitigate the risk of crop and environmental contamination as well as consumer health endangerment.