Firms worldwide are increasingly required to disclose their carbon emissions due to the environmental damage associated with climate change. Because there has been no previous literature focusing on the determinants of corporate carbon disclosure integrating environmental legitimacy and green innovation, the present study attempted to develop an original framework to fill the research gap. This study explored the influence of environmental legitimacy on corporate carbon disclosure, and investigated the role of green innovation as a mediator. With the samples of Carbon (...) Disclosure Project in China from 2008 to 2012, the results demonstrate that environmental legitimacy significantly negatively influences the likelihood of corporate carbon disclosure, and that green process innovation mediates the relationship, while green product innovation has no significant mediating effect. It means that environmental legitimacy not only directly affects the likelihood of corporate carbon disclosure, but also indirectly affects it via green process innovation. Hence, companies must increase both informal and formal mechanisms, i.e., external environmental legitimacy and internal green process innovation, to engage in carbon information disclosure and ensure sustainability. (shrink)
Grounded on the social exchange theory (SET), social cognitive theory (SCT), and self-determination theory (SDT), this study aims to explore the mediating role of self-efficacy (SE) and work engagement (WE) on the effect of social support (SS) on job satisfaction (JS) among Chinese ethnic minority kindergarten teachers (KTs). The results show that: (1) SS has a directly significant effect on JS; (2) WE mediates the relationship between SS and JS; and (3) SE mediates the relationship between SS and WE. Although (...) the mediation of SE on the relationship between SS and JS is not found, the posited multiple mediations of SE and WE on the relationship between SS and JS are totally accepted. The results reveal that SS mainland Chinese ethnic minority KTs received can not only have a direct effect on JS but also have an indirect impact through the one-path mediating role of WE and the chain mediating role of SE and WE. The results suggest that governments, supervisors, and sponsors should work together to provide ethnic minority KTs with more prioritized SS from both cultural psychology and financial material and opportunities for facilitating professional knowledge and skills in order to enhance their SE, inspire their WE, and eventually accumulate their JS. (shrink)
Extant contextualist theories have relied on the mechanism of pragmatically driven modulation to explain the way non-indexical expressions take on different interpretations in different contexts. In this paper I argue that a modulation-based contextualist semantics is untenable with respect to non-ambiguous expressions whose invariant meaning fails to determine a unique literal interpretation, such as ‘lawyer’ ‘musician’ ‘book’ and ‘game’. The invariant meaning of such an expression corresponds to a range of closely related and equally basic interpretations, none of which can (...) be distinguished as the literal interpretation. Moreover, what counts as a literal interpretation as opposed to a non-literal one is arguably vague. The nonuniqueness of the literal interpretation and the vagueness in the literal/non-literal divide doubly challenge a modulation-based semantics, for modulation is supposed to operate on a unique literal interpretation to generate a clearly non-literal interpretation. Lastly I contend that non-ambiguous expressions which lack determinate literal interpretation are amenable to a Radical Contextualist semantics, according to which the invariant meaning of such an expression directs its interpretation to congruent background information in context. Thereby, these expressions exhibit semantically driven context sensitivity without displaying indexicality. (shrink)
Drawing upon conservation of resources theory, we develop and test a theoretical model that specifies how and when employee humor toward leaders affects leader abusive supervision. We propose that employee humor is negatively associated with leader abusive supervision via leader relational energy. Furthermore, the negative indirect relationship between employee humor and leader abusive supervision via leader relational energy is stronger for female leaders than for male leaders. An experiment and a multi-wave, multi-source field study provide substantial support for our hypotheses. (...) Our findings contribute to the abusive supervision literature by identifying employee humor as a safe and effective bottom-up approach to prevent leader abusive supervision. (shrink)
Water quality prediction is the basis of water environmental planning, evaluation, and management. In this work, a novel intelligent prediction model based on the fuzzy wavelet neural network including the neural network, the fuzzy logic, the wavelet transform, and the genetic algorithm was proposed to simulate the nonlinearity of water quality parameters and water quality predictions. A self-adapted fuzzy c-means clustering was used to determine the number of fuzzy rules. A hybrid learning algorithm based on a genetic algorithm and gradient (...) descent algorithm was employed to optimize the network parameters. Comparisons were made between the proposed FWNN model and the fuzzy neural network, the wavelet neural network, and the neural network. The results indicate that the FWNN made effective use of the self-adaptability of NN, the uncertainty capacity of FL, and the partial analysis ability of WT, so it could handle the fluctuation and the nonseasonal time series data of water quality, while exhibiting higher estimation accuracy and better robustness and achieving better performances for predicting water quality with high determination coefficients R2 over 0.90. The FWNN is feasible and reliable for simulating and predicting water quality in river. (shrink)
Vagueness is understood as the problem of associating imprecise application criteria with ordinary predicates such as ‘bald’ or ‘blue’. It is often construed as due to one’s tolerance to a minute difference in forming a verdict on the application of a vague predicate. This paper reports an experiment conducted to test the effect of tolerance, using as paradigm categorisation tasks performed with respect to transitional series, e.g., a series of tomatoes from red to orange. The findings suggest a negative effect (...) of tolerance on categorisation with vague predicates. The implication of the findings for certain commonly-held assumptions about tolerance is discussed. (shrink)
As the essence of livestream e-commerce is social commerce, building a livestream brand community and attracting brand followers are the key aspects to achieving sustained revenue. For many companies, inviting celebrities has become a shortcut to attract new followers. Considering the unsustainability and high cost of the celebrity host mode, some companies switched to using their own branded broadcasters to attract followers. However, as branded broadcasters lack a fan base, choosing the suitable broadcaster type has become a challenge in livestream (...) e-commerce. The motivation of consumers to follow brand livestream accounts is mainly to obtain potential value by embedding them in social networks. Therefore, based on motive theory, this research explores how different broadcaster types affect consumer’s intention to follow a livestream brand community. Results from the analysis of secondary data from livestream platforms and two laboratory experiments reveal that celebrities contribute more to consumer’s intention to follow than branded broadcasters, and utilitarian products can strengthen the effect of branded broadcasters on attracting potential followers. Moreover, branded broadcasters can promote consumer’s intention to follow a livestream brand community by satisfying consumer’s need for informational value during utilitarian product evaluation. This research analyzes the differential effects of different types of broadcasters on livestream brand community building. The findings can deepen the understanding of the consumer’s behavior of following brand livestream communities and provide companies with suggestions on broadcaster selection in livestream e-commerce. (shrink)
Does the level of marketing activity in a country contribute to societal well-being or quality of life? Does economic efficiency also play a positive role in societal well-being? Does economic efficiency also moderate or mediate the marketing activity effect on societal well-being? Marketing activity refers to the pervasiveness of promotion expenditures and number of retail outlets per capita in a country. Economic efficiency refers to the extent to which the economy is unhampered by corruption, burdensome government regulation, and a large (...) informal economy. We used secondary data from the World Bank and other statistical sources to answer these questions. Our study findings suggest that both marketing activity and economic efficiency contribute positively to societal well-being, and that economic efficiency plays more of a mediator than moderator role between marketing activity and societal well-being. The public policy implication of this study is that increases in marketing activity and economic efficiency in countries characterized as low on both dimensions should significantly increase the quality of life in those countries. (shrink)
This article presents an economic analysis of information good pricing and consumer welfare, and discusses the implications of price discrimination in the information economy. It argues that network externalities, coupled with information asymmetry, enable a dominant marketer to price unequally, extracting late adopters surplus to compensate for the loss from early adopters. In the short term, the minority early adopters benefit by paying less, but in the long term, the majority late adopters suffer by paying more. Considering that late adopters (...) are likely to be at a disadvantage in resources, this discriminatory pricing amounts to the poor subsidizing the rich. Based on this analysis, implications for consumer welfare are discussed. (shrink)
Vagueness is understood as the problem of associating imprecise application criteria with ordinary predicates such as ‘bald’ or ‘blue’. It is often construed as due to one’s tolerance to a minute difference in forming a verdict on the application of a vague predicate. This paper reports an experiment conducted to test the effect of tolerance, using as paradigm categorisation tasks performed with respect to transitional series, e.g., a series of tomatoes from red to orange. The findings suggest a negative effect (...) of tolerance on categorisation with vague predicates. The implication of the findings for certain commonly-held assumptions about tolerance is discussed. (shrink)
With the rapid development of science and technology, UAVs have become a new type of weapon in the informatization battlefield by their advantages of low loss and zero casualty rate. In recent years, UAV navigation electromagnetic decoy and electromagnetic interference crashes have activated widespread international attention. The UAV LiDAR detection system is susceptible to electromagnetic interference in a complex electromagnetic environment, which results in inaccurate detection and causes the mission to fail. Therefore, it is very necessary to predict the effects (...) of the electromagnetic environment. Traditional electromagnetic environment effect prediction methods mostly use a single model of mathematical model and machine learning, but the traditional prediction method has poor processing nonlinear ability and weak generalization ability. Therefore, this paper uses the Stacking fusion model algorithm in machine learning to study the electromagnetic environment effect prediction. This paper proposes a Stacking fusion model based on machine learning to predict electromagnetic environment effects. The method consists of Extreme Gradient Boosting algorithm, Gradient Boosting Decision Tree algorithm, K Nearest Neighbor algorithm, and Decision Tree algorithm. Experimental results show that, comprising with the other seven machine learning algorithms, the Stacking fusion model has a better classification prediction accuracy of 0.9762, a lower Hamming code distance of 0.0336, and a higher Kappa coefficient of 0.955. The fusion model proposed in this paper has a better predictive effect on electromagnetic environment effects and is of great significance for improving the accuracy and safety of UAV LiDAR detection systems under the complex electromagnetic environment on the battlefield. (shrink)
The book addresses different linguistic and philosophical aspects of referring to the self in a wide range of languages from different language families. It offers an interdisciplinary understanding of expressing the self that comprises philosophy of mind at one end of the spectrum and cross-cultural pragmatics of self-expression at the other.
The role of the two hemispheres in processing metaphoric language is controversial. In order to complement current debates, the current divided visual field study introduced scientific metaphors as novel metaphors, presenting orientation mapping from the specific and familiar domains to the abstract and unfamiliar domains, to examine hemispheric asymmetry in metaphoric processing. Twenty-four Chinese native speakers from science disciplines took part in the experiment. The participants were presented with four types of Chinese word pairs: scientific metaphors, conventional metaphors, literal word (...) pairs, and unrelated word pairs. The first word in each pair was presented centrally, and the second was presented to the left visual field or the right visual field. Event-related potentials were recorded when participants read the target words and judged whether words in each pair were related. The data demonstrated that both hemispheres were involved at the initial stage of metaphor processing, but the right hemisphere took a more privileged role. The significant activation of the left hemisphere for scientific metaphoric processing supports the fine-coarse coding hypothesis. During right-visual-field presentation, the left hemisphere, responsible for the processing of closely related domains, has to integrate the loosely associated domains of scientific metaphor, which greatly increased cognitive taxes. Moreover, the data of late positive components revealed different hemispheric activation between scientific metaphors and conventional metaphors. Compared with literal pairs, conventional metaphors elicited significantly higher LPCs during right visual field presentation, while the scientific metaphor elicited significantly lower LPCs during left visual field presentation. These results suggest different processing mechanisms between novel metaphors and conventional metaphors and the special role of the right hemisphere in novel metaphoric processing at the later mapping stage. (shrink)
To study the different mechanisms of understanding figurative language in a speaker’s native language and their second language, this study investigated how scientific metaphors in Chinese and English are electrophysiologically processed via event-related potential experimentation. Compared with the metaphors from daily life or in literary works, scientific metaphors tend to involve both a more complicated context structure and a distinct knowledge-inferencing process. During the N400 time window, English scientific metaphors elicited more negative N400s than Chinese ones at the parietal region. (...) In the late positive component time window, English scientific metaphors elicited less positive LPCs than Chinese ones at the parietal region, and larger late negativities encompassing smaller areas of the brain. The findings might indicate that for late unbalanced bilingual speakers, L2 scientific metaphor comprehension requires more effort in information retrieval or access to the non-literal route. Altogether, the possible findings are that non-native and non-dominant language processing involves decreased automaticity of cognitive mechanisms, and decreased sensitivity to the levels of conventionality of metaphoric meanings. (shrink)
It has been well established that life satisfaction is related to perceived social justice. However, current theories provide contrary assumptions on the direction of the influence. In this research, we use data from two longitudinal surveys collected in China to test the reciprocal relations between life satisfaction and perceived social justice over time. With a random intercept cross-lagged panel model, we disaggregate the between-person effect and the within-person effect of the relationship. To specify the conditions of the effect, we consider (...) income levels as the moderator. Study 1 showed that on the between-person level, life satisfaction, and perceived social justice are positively correlated. On the within-person level, cross-lagged effect results showed that an individuals’ deviations from their expected score in life satisfaction predict deviations from their expected perceived social justice at the next time point, while deviations from expected perceived social justice does not predict subsequent deviations from expected life satisfaction. In study 2, we divided participants into three groups based on their household income and conducted a multiple group analysis to test its moderation effect. We found that the between-person correlation of life satisfaction and perceived social justice is not moderated by income level, and it is significant in all the three groups. However, the within-person cross-lagged effect is moderated by income level, and the effect of life satisfaction on perceived social justice only exists in the low income group. This research confirms the unidirectional relationship between life satisfaction and perceived social justice across time, and clarifies the effect in different levels and income groups, providing new insights on the formation of justice perception. It is recommended that future studies apply experimental designs to reach causal effects and explore more possible moderators and mediators. (shrink)
Reinforcement learning relies on the reward prediction error signals conveyed by the midbrain dopamine system. Previous studies showed that dopamine plays an important role in both positive and negative reinforcement. However, whether various reinforcement processes will induce distinct learning signals is still unclear. In a probabilistic learning task, we examined RPE signals in different reinforcement types using an electrophysiology index, namely, the feedback-related negativity. Ninety-four participants were randomly assigned into four groups: base, positive reinforcement, negative reinforcement, and combined reinforcement groups. (...) In addition, in order to evaluate the engagement of emotional activity in the different reinforcement processes, Positive and Negative Affect Schedule-Expanded Form scales were applied before and after the experiment to detect the emotional changes. The results showed that there was no difference between groups in the dopamine-related learning bias. However, compared to the other three groups, negative reinforcement elicited smaller FRN during the learning, stronger positive affect and joviality, and less fatigue after the learning, in which the difference between the negative and positive reinforcement groups was smaller. The results indicated that pure avoidance motivation may induce distinct emotional fluctuations, which influence the feedback processing. (shrink)
