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In this study, traceability in pork profile information with ex-ante quality assurance and ex-post traceability are constructed. Consumers’ willingness to pay (WTP) for traceability information is investigated in Wuxi, China, by combining the Multiple Price Lists method and the Becker–DeGroot–Marschak (BDM) experimental auction. The main factors affecting consumers’ WTP are also analyzed using a Tobit model. The results demonstrate that consumers have higher WTP for ex-ante quality assurance than for ex-post traceability. The highest WTP is for the ex-ante quality assurance attribute of pork quality inspection. Consumers’ WTP for traceability information is influenced by their individual characteristics, including age, education and income, as well as their concern and satisfaction about food safety and confidence in food safety labeling. The contribution of this paper is that it improves the meaning of traceable food information attributes and measures the significance of attributes to consumers. Furthermore, this paper introduces a Becker–DeGroot–Marschak experimental auction method which amends the measurement deviation of hypothetical experiments.

Background Risk factors of multivessel coronary artery disease (CAD) among young acute coronary syndrome (ACS) patients remain elusive now. Methods This retrospective study analyzed data from 187 consecutive young (age ≤45 years) ACS patients (75 STEMI, 30 NSTEMI, and 72 unstable angina) hospitalized in our hospital from January 2012 to December 2016. Thirty-six young male patients with normal coronary angiography (CAG) findings (no-CAD), who underwent CAG due to suspected chest pain in this period, served as control group. There were 83 patients with single-vessel disease (SVD) and 104 patients with multiple-vessel disease (MVD) among ACS patients. Patients were followed up for a mean of 267±124 days by clinical visit or telephone calls. Results All included patients were male. Prevalence of hypertension (57.2% vs. 30.6%, p=0.002) and smoking (70.6% vs. 52.8%, p=0.049) was significantly higher in ACS patients than in no-CAD patients. Prevalence of hypertension (72.1% vs. 38.6%, p<0.001) and body mass index (BMI) were significantly higher in MVD group than in SVD group. Multivariable analysis revealed that hypertension was an independent risk factor for MVD after adjustment for age, gender, BMI, smoking, family history of premature CAD, hyperlipidemia, left ventricular ejection fraction, and brain natriuretic peptide (odds ratio=3.71, 95% confidence interval=1.84-7.46, p<0.001). Rate of major adverse cardiovascular events (MACE) during follow-up (20.2% vs. 4.8%) was significantly higher in MVD group compared with SVD group. Conclusions Hypertension is an independent predictor of MVD and MVD is associated with increased MACE rate compared to SVD in young ACS patients during the short-term follow-up.

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Farmers’ adoption of low-carbon agriculture is conductive to addressing climate change and achieving sustainable development of agriculture. The purpose of this study is to explore farmers’ decision-making processes regarding low-carbon production and to provide a reference for the targeted support policies of low-carbon agriculture. The data was derived from a household survey of 442 rice farmers conducted in Jiangsu Province, China in 2017. Participants were interviewed face-to-face using questionnaires, and local interviewers were used in order to maximize the reliability of the results. The theoretical basis for our analysis was an extended theory of planned behavior (TPB). We applied a structural equation model (SEM) to investigate the correlations among farmers’ decision-making processes regarding low-carbon production and observable characteristics. Furthermore, we explored the differences in adoption decisions regarding low-carbon agriculture among different groups of farmers based on production scale and region, respectively. The results indicate that attitude, subjective norm, perceived behavioral control, and contract farming participation are significantly positively correlated with farmers’ intention toward low-carbon production, and that farmers’ low-carbon production intention and contract farming participation have significant positive correlations with their behavior regarding low-carbon production. A subsample analysis shows that the subjective norm for farmers with a small production scale is more strongly correlated with their adoption decisions regarding low-carbon agriculture than that it is for farmers with a large production scale. Additionally, in less developed regions, farmers’ attitude is more strongly correlated with their adoption decisions regarding low-carbon agriculture than it is for farmers in developed regions.