市场经济条件下中国海洋渔业生产函数的实证分析

本文利用1992年市场经济改革以来我国海洋渔业产量、海洋渔业劳动力就业量、沿海地区渔业固定资产投资额等数据对海洋渔业生产函数进行了拟合,主要结论有三:一是1992年以来我国海洋渔业生产函数可以拟合为:Q=5.5717×10-20×(L)4.1328×(D3)0.8274;二是海洋渔业的发展主要得益于其劳动就业量的增长,资本、技术管理对其总产量的贡献很小;三是1999年开始实施的海洋捕捞渔业“零增长”政策仅对该年产量增长起到了显著的影响作用。     

闻“香”而悦便会因“情”而买?——消费者涉入的调节作用

嗅觉器官是人类接收外界信息的重要器官,已有大量研究证明在顾客的消费过程中利用环境气味刺激个体的嗅觉能够积极影响消费者对于产品的购买意愿或所在环境的评价。文章基于精细加工可能性模型,通过实验研究方法引入消费者涉入作为调节变量,验证环境气味对消费者情绪的影响以及探讨情绪机制的边界条件。实验结果显示:环境气味能够提升消费者购买意愿,情绪在环境气味和购买意愿之间起中介作用;情绪的中介效应被消费者涉入调节,对同一产品而言,涉入度低时,消费者购买意愿显著增强,涉入度高时,消费者购买意愿差异不显著。本研究对于拓展感官营销的适用边界具有一定的理论意义,也对企业有效采取气味营销、提升感官营销效果具有重要的实践意义。     

中国服务贸易周期波动的实证分析

本文用增长率直接法、增长率趋势法分析了中国服务贸易的短周期、中周期和中长周期波动,并结合GDP长波采用协整分析方法研究了中国服务贸易的长波特征.研究结果表明,1982年以来的中国服务贸易经历了8次短周期波动、3次中周期波动(其中目前的第3次中周期波动具有适度高位平滑的特征)、2次中长周期波动(目前正处于第2次中长周期波动的扩张期),服务贸易长波与GDP长波具有基本相同的特征.     

谈对学生情商的培养

现代教育心理学认为,情商的培养,对调动学生学习的积极性、主动性、创造性具有重要的作用。教师在教学过程中,要改革传统的教学方法,因材施教,在提高自身素质的同时,注重对学生情商的培养。     

On the efficiency of composting organic wastes

We develop a mathematical programming model for the analysis of a nationwide waste‐management system based on composting of organic wastes. The model integrates a wide range of engineering, environmental, and economic factors, including estimated production functions based on agronomic experimental data, as well as demand functions for vegetative agricultural products. The model is applied to the case of Israel, comprising 14 groups of municipalities as the source of organic municipal solid waste and wastewater‐treatment sludge, 8 composting plants, and 13 agricultural regions; the latter constitute the source of livestock manure and are the consumers of compost to be potentially applied to 42 crops. From a social point of view, 90% of the compost's potential production was found to be warranted. This efficient solution, however, does not emerge under the base‐year‐observed situation, largely because of the absence of source separation of organic municipal solid waste and the farmers' lack of awareness of compost's advantages as a substitute for conventional fertilizers and as a soil‐amending product. Consequently, most of the organic wastes are disposed of by landfilling, resulting in a loss of $102 million per year in terms of net social benefits. While the consumers of agricultural products are expected to benefit from a shift from the base‐year situation to the efficient solution, most of their gain is expected to come at the expense of the farming sector. Nevertheless, the appearance of the efficient solution does not depend on administrative compensation payments, but on the removal of bottlenecks. Potential government intervention strategies to promote the change are analyzed.     

主动动机模型下时间领导对员工主动变革行为的影响

基于主动动机模型，探讨中国情境下时间领导对员工主动变革行为的影响。通过对239份有效配对问卷的调查，研究发现：时间领导能够显著促进员工主动变革；积极情绪在时间领导与员工主动变革行为间起部分中介作用；员工正念不仅正向调节时间领导与积极情绪的关系，而且正向调节时间领导通过积极情绪影响员工主动变革行为的间接效应，即员工正念水平越高，时间领导对积极情绪的正向影响越显著，且时间领导通过积极情绪对员工主动变革行为的影响也越显著。研究结果有助于打开时间领导对员工主动变革行为影响的“黑箱”，并为企业提供有效的管理启示。     

It’s personal: The emotional dimension of psychic distance perception in intercultural knowledge transfer

Psychic distance (PD) is a perceived obstacle to information flows in knowledge transfer between individuals in different national markets. However, the impact of individuals’ subjective perceptions of macro-level distance factors disrupting these flows has been undertheorized. Prior research has conceptualized PD as a geospatial concept – symmetric, continuous and stable over time. Using appraisal theory and a qualitative study of a Chinese multinational, we analyse individual-level psychic distance stimuli. We examine how perceived psychic distance is impacted in the appraisal of personal concerns, triggering salient emotions in the process of individual’s cross-border interactions. Our key contribution is to trace and explain how individual-level psychic distance is created in intercultural knowledge transfer. We theorize that it is created by a psychological mechanism involving emotionally charged processes of individuals coping with concerns arising from emotional encounter. We find that conventional macro-level psychic distance is moderated by the emotions of individuals.     

Analyzing the emotional impact of COVID-19 with Twitter data: Lessons from a B-VAR analysis on Italy

The novel coronavirus 2019 revolutionized the way of living and the communication of people making social media a popular tool to express concerns and perceptions. Starting from this context we built an original database based on the Twitter users’ emotions shown in the early weeks of the pandemic in Italy. Specifically, using a single index we measured the feelings of four groups of stakeholders (journalists, people, doctors, and politicians), in three groups of Italian regions (0,1,2), grouped according to the impact of the COVID-19 crises as defined by the Conte Government Ministerial Decree (8^th March 2020). We then applied B-VAR techniques to analyze the sentiment relationships between the groups of stakeholders in every Region Groups. Results show a high influence of doctors at the beginning of the epidemic in the Group that includes most of Italian regions (Group 0), and in Lombardy that has been the region of Italy hit the most by the pandemic (Group 2). Our outcomes suggest that, given the role played by stakeholders and the COVID-19 magnitude, health policy interventions based on communication strategies may be used as best practices to develop regional mitigation plans for the containment and contrast of epidemiological emergencies.     

How background visual complexity influences purchase intention in live streaming: The mediating role of emotion and the moderating role of gender

There is growing evidence that visual complexity plays a crucial role in consumer purchase behavior. However, existing research on background visual complexity’s effect on individuals’ purchase intention in live streaming is limited. This study explores the relationships between live background visual complexity, emotional states, and purchase intention, by drawing on the stimulus-organism-response theory. A 3 × 2 between-subjects online experiment was developed with participants’ emotional and intention data. The results indicate that the background visual complexity of the livestream room influences consumers’ purchase intention positively via the evoked emotional states (pleasure and arousal). Background visual complexity exhibits an inverted U-shaped effect on consumers’ emotions. Additionally, the results reveal a significant moderating effect of gender on the relationship between background visual complexity and purchase intention. Women exhibit an inverted U-shaped effect on emotion and purchase intention, whereas men show a positive linear relationship when faced with complexity.     

基于AI的情绪识别在组织中的实践:现状、未来和挑战

人工智能(AI)的蓬勃发展为组织内员工情绪的识别、评估和管理带来新契机的同时,也对组织管理领域既往的研究模式提出了挑战。基于AI的情绪识别研究作为一个新兴的交叉研究领域,仍未得到组织实践者的积极关注,学界对AI情绪识别缺乏全面正确的认识。本文首先对基于AI的情绪识别模型进行理论探讨,重点介绍AI情绪识别的技术路线与意义。在此基础上,对AI情绪识别的技术路线提出展望,并指出AI情绪识别在组织管理领域中能够帮助研究者优化情绪测量工具、拓展研究视角并推动组织管理的实践。最后,对AI情绪识别在未来发展中可能面临的伦理问题和效度问题进行讨论。