Suchergebnisse

This article proposes a scheme to establish the socialist core values of farmers' psychological acceptance based on emotional feature recognition. The TL-LR algorithm proposed in this paper provides a new idea for the intelligent prediction of psychological acceptance, which can be further studied in the future from the aspects of model optimization and data annotation.

The link between immigration and crime has garnered considerable attention from researchers. Although the weight of evidence suggests that immigration is not linked to crime, the public consistently views immigrants, especially undocumented immigrants, as criminal and thus a threat to social order. However, little attention has been paid to why they are perceived this way. By drawing on the minority threat perspective, this article investigates the effects of objective and perceptual measures of community context on perceived criminal threat from undocumented immigrants. Analyses of data collected from four Southwest states and the U.S. Census show that the perceived size of the undocumented immigrant population, more so than the actual size of the immigrant population and economic conditions, is positively associated with perceptions of undocumented immigrants as a criminal threat. Additional analyses show that objective measures of community context do not affect native respondents' perceptions of the size of the undocumented immigrant population. The study's findings and their implications for theory, research, and policy are discussed.

AbstractEducational technology has become an indispensable aspect of higher education, playing a crucial role in affecting student engagement, in particular. The application, advantages and disadvantages of learning management systems (LMS) and social networking systems in Chinese EFL courses, represented by Superstar—Xuexitong and WeChat, are introduced. The study aims to explore the relationship between the two educational technology tools and three dimensions of student engagement. Using an adopted and revised questionnaire from previous researches, the study measures the extent of impact of the specified educational technology tools on student engagement with the help of SPSS. Through the independent sample T tests, analysis of variance, correlation and regression, the study found that emotional engagement has the strongest positive effect on educational technology engagement. In addition, analysis of the four principal factors indicates that using LMS could engage students more than adopting social networking systems. There are significant differences in cognitive engagement between different genders, with that of males surpassing females. This article provides some empirical evidence for exploration into the use of educational technology in a specific discipline to foster better student engagement.

We examined consumers' perceptions of, and responses to, variety in product bundles in 3 studies with Chinese university students aged between 17 and 29 years. In Study 1 (117 participants) we found that variety (vs. nonvariety) bundles were more attractive and more likely to be purchased,
and this effect was robust across different variety formats. In Study 2 (89 participants) the mediating role of perceived hedonic benefits was supported, that is, participants responded to the level of variety in product bundles as they tried to maximize their hedonic benefit from the consumption.
In Study 3 (74 participants) we further explored the moderating role of consumption goal and found that participants were willing to forgo an additional quantity to have variety, especially when their consumption goal was hedonic rather than utilitarian. Theoretical implications and practical
implications for marketers are discussed.

The objective in this study conducted in mainland China was to explore how an individual's satisfaction as a customer in the purchase and use of an automobile is linked with the social level indicator of that person's perceived subjective well-being (SWB). We found that having the ability
to afford major household assets like an automobile that fulfils their needs and gives them satisfaction, arouses a feeling of happiness and perceived SWB in the context of the society they live in, and determines their underlying satisfaction with national economic policy.

AbstractThis research investigates how a discrete positive emotion (awe) impacts consumers' decisions on food choices. We probe and demonstrate that the experience of awe enhances consumer preferences for healthy versus unhealthy products. In a series of three studies, we find that awe, compared with a neutral emotion, increases consumers' likelihood to choose healthy products over unhealthy products (Study 1). Consumers' processing styles drive the observed awe effect (Study 2), whereby awe increases reliance on analytic processing, which leads to preferences for healthy products. Moreover, the experience of awe exerts a stronger influence on product choices among consumers with a chronic intuitive rather than analytic processing style (Study 3). Theoretical contributions to the research on awe, information processing, and healthy food preference, as well as practical implications for consumers and marketers, are discussed.

The study considers an environmental R&D subsidy in a mixed duopoly with spillovers. Public and private firms compete in environmental R&D investments and the government sets the subsidy to environmental R&D. This study examines three cases: (a) the public firm cares for the environment and maximises the welfare; (b) it does not care for the environment and maximises the sum of consumer and producer surpluses net of subsidy; and (c) it is privatised and maximises its own profit. The main findings are as follows: 1) the optimal subsidies are positive in all three cases; 2) the optimal subsidy always increases with spillovers in case (a), but it may decrease with spillovers in cases (b) and (c); 3) the optimal subsidy is higher in case (a) than in case (b) if the seriousness of environmental damage generated by pollution is small, however the opposite case may be the case if it is large; 4) the use of subsidy results in higher total R&D and lower environmental damage in all three cases; 5) privatisation lowers optimal subsidy (or environmental damage) no matter whether the public firm cares for the environment or not; and 6) privatisation reduces welfare if the public firm cares for the environment, but may raise welfare if it does not care for the environment.

We consider the problem of determining the number of factors and selecting the proper regressors in linear dynamic panel data models with interactive fixed effects. Based on the preliminary estimates of the slope parameters and factors a la Bai and Ng (2009) and Moon andWeidner (2014a), we propose a method for simultaneous selection of regressors and factors and estimation through the method of adaptive group Lasso (least absolute shrinkage and selection operator). We show that with probability approaching one, our method can correctly select all relevant regressors and factors and shrink the coefficients of irrelevant regressors and redundant factors to zero. Further, we demonstrate that our shrinkage estimators of the nonzero slope parameters exhibit some oracle property. We conduct Monte Carlo simulations to demonstrate the superb finite-sample performance of the proposed method. We apply our method to study the determinants of economic growth and find that in addition to three common unobserved factors selected by our method, government consumption share has negative effects, whereas investment share and lagged economic growth have positive effects on economic growth.