重温马克思两大发现的诞生及其关系——对目前《资本论》研究中一种倾向的辩诘

在否认剩余价值理论科学性的同时承认唯物史观,是当下《资本论》研究中的一种重要倾向。要分析这种倾向就得重温马克思两大发现的诞生及其关系。马克思通过政治经济学研究得到了其第一个科学发现,即被称为唯物史观的＂人类历史的发展规律＂;在这个发现的指导下,马克思进一步研究政治经济学而作出了第二个科学发现,即以剩余价值理论为基础的＂资产阶级社会的特殊的运动规律＂;第二个发现对第一个发现又起到了证成作用。因而这两个科学发现之间是普遍性与特殊性的关系,而不是哲学与科学的关系,也不是两种哲学的关系。脱离剩余价值理论的唯物史观与脱离唯物史观的剩余价值理论一样,都是不能成立的。     

道家杨朱人生哲学新论———从老子到庄子的摆渡

杨朱是一位原始道家哲学人物，他以自然主义感觉论即人是一个感性实体为地基，以物我、人己、生死、名实等范畴为构架，构建了其“重生”“为我” 的自然主义生命哲学体系。与列子一样，杨朱是从老子到庄子的一个极为重要的过渡，丰富了庄子的生命哲学，所以，学界有“老、杨、列、庄”之说。但是，由于史料的不足和认识上的偏颇，自孟子以后，杨朱“轻物重生” “人人为我”的思想被曲解了，成了自私自利的利己主义的化身。实则，杨朱“重生” 的实质是“贵义”，其“为我”的目的是“为人”。杨朱受了老子思想的影响，以“全性保真”为宗旨；在思想上，反儒非墨，认为儒家的仁义道德不但虚伪，而且害性伤真，墨家的兼爱、利他则虚妄不实。因此，具有理想个人主义思想的杨朱主张以“人人不利天下则天下治” 的自治来对抗儒家礼乐的君制，以自爱、自利、尚异来取代墨家的泛爱、利他、尚同。而杨朱张扬主体的思想则富有积极的现代性。     

模糊理论对英语专业学生翻译能力培养的启示

模糊理论使人们认识到语言模糊性的客观存在。模糊性是语言的自然属性。在翻译中，对于语言模糊性的认识，是正确理解原文并用译文准确表达的基础。在翻译教学中，教师应该指引学生识别和运用模糊语言，从而有效地从整体上提升学生的翻译能力。     

语义场理论对科技术语翻译的启示从——“水资源管理”一词的英汉互译谈起

科技术语在不同语言之间的翻译是一个复杂的语义匹配过程，如何在考虑相关术语使用现状的基础上将新产生的科技术语准确翻译为其它语言是科技工作者和术语研究者关注的重要问题。以语义场理论为分析框架，通过分析以"水资源管理"及其相关术语为代表的英汉互译，结果发现：不同科技术语在同一语义场所涵盖的语义范围将会随着相关研究深化带来的术语界定细化而发生相应的动态变化；新兴科技术语的翻译要充分考虑其所在语义场其它相关科技术语的翻译先例和使用现状所带来的影响，在翻译准确性和解读便利性之间做出适当的平衡。这是造成"水资源管理"及相关术语英汉互译处理极为复杂的重要原因之一，需要科技翻译者在工作实践中多加注意。     

基于消费者显著性偏好的双边平台转换成本和定价策略研究

针对消费者对转换成本和价格属性具有显著性偏好的实际情况，基于显著性理论对垄断双边平台企业的转换成本和定价策略问题进行了研究。研究发现：1)在显著性偏好非对称型市场上，对价格敏感的一方收取的价格最低，对高转换成本的一方收取的价格最高，而在显著性偏好对称型市场上，平台的最优价格位于非对称型市场之间，但是对价格敏感型市场收取的价格低于转换成本敏感型市场的价格。2)在高转换成本的市场，平台利润最低；低转换成本市场平台利润最高，而混合型情况的最优利润位于这两者之间。该研究结论说明平台企业应该采取措施来降低用户加入平台的转换成本，从而增加利润，这与现实的案例研究结论相吻合。     

An algorithmic approach to construct D-optimal saturated designs for logistic model

In this paper, locally D-optimal saturated designs for a logistic model with one and two continuous input variables have been constructed by modifying the famous Fedorov exchange algorithm. A saturated design not only ensures the minimum number of runs in the design but also simplifies the row exchange computation. The basic idea is to exchange a design point with a point from the design space. The algorithm performs the best row exchange between design points and points form a candidate set representing the design space. Naturally, the resultant designs depend on the candidate set. For gain in precision, intuitively a candidate set with a larger number of points and the low discrepancy is desirable, but it increases the computational cost. Apart from the modification in row exchange computation, we propose implementing the algorithm in two stages. Initially, construct a design with a candidate set of affordable size and then later generate a new candidate set around the points of design searched in the former stage. In order to validate the optimality of constructed designs, we have used the general equivalence theorem. Algorithms for the construction of optimal designs have been implemented by developing suitable codes in R.     

Major Accidents (Gray Swans) Likelihood Modeling Using Accident Precursors and Approximate Reasoning

Compared to the remarkable progress in risk analysis of normal accidents, the risk analysis of major accidents has not been so well‐established, partly due to the complexity of such accidents and partly due to low probabilities involved. The issue of low probabilities normally arises from the scarcity of major accidents’ relevant data since such accidents are few and far between. In this work, knowing that major accidents are frequently preceded by accident precursors, a novel precursor‐based methodology has been developed for likelihood modeling of major accidents in critical infrastructures based on a unique combination of accident precursor data, information theory, and approximate reasoning. For this purpose, we have introduced an innovative application of information analysis to identify the most informative near accident of a major accident. The observed data of the near accident were then used to establish predictive scenarios to foresee the occurrence of the major accident. We verified the methodology using offshore blowouts in the Gulf of Mexico, and then demonstrated its application to dam breaches in the United Sates.     

Gender,status, and psychiatric labels

We examine a key modified labeling theory proposition—that a psychiatric label increases vulnerability to competence-based criticism and rejection—within task- and collectively oriented dyads comprised of same-sex individuals with equivalent education. Drawing on empirical work that approximates these conditions, we expect the proposition to hold only among men. We also expect education, operationalized with college class standing, to moderate the effects of gender by reducing men’s and increasing women’s criticism and rejection. But, we also expect the effect of education to weaken when men work with a psychiatric patient. As predicted, men reject suggestions from teammates with a psychiatric history more frequently than they reject suggestions from other teammates, while women’s resistance to influence is unaffected by their teammate’s psychiatric status. Men also rate psychiatric patient teammates as less powerful but no lower in status than other teammates, while women’s teammate assessments are unaffected by their teammate’s psychiatric status. Also as predicted, education reduces men’s resistance to influence when their teammate has no psychiatric history. Education also increases men’s ratings of their teammate’s power, as predicted, but has no effect on women’s resistance to influence or teammate ratings. We discuss the implications of these findings for the modified labeling theory of mental illness and status characteristics theory.     

Countering Overseas Power in Global Value Chains: Information Asymmetries and Subcontracting in the Plastics Industry

Resource Dependency Theory (RDT) and Global Value Chain (GVC) analysis have been deployed in the strategic and international management literatures to address questions of power in dyadic relationships and global production networks, respectively. This paper integrates the two theoretical approaches in order to expand RDT, using insights from Hirschman's exit/voice model to show the options available to some firms but not others. Using the relationship between buyers and contract manufacturers from GVC analysis, we find a correlation between firm size and choice of strategic action in response to contract manufacturers' dependence on buyers. Large firms follow an acquiescence strategy while small manufacturers follow an avoidance strategy, able to use both exit and voice strategies. Enabled by scale or control over information, both of these approaches successfully reduce uncertainty and provide a source of sustained competitive advantage. Using a study of the production chain in consumer plastics manufacturing in China, we show how dependent firms respond to GVC induced pressure. We find that based on the size of the contract manufacturer, the range of strategic responses to power is constrained by the nature of the dependency in global value chains. This opens important insights into the role that structural characteristics of organizations (like size) play in determining strategic freedom.     

黄国雄教授商品流通理论研究回顾

黄国雄教授是中国现代商品流通理论的奠基人.文章通过文献梳理和实际观察,对黄国雄教授的商品流通理论研究进行了回顾.黄国雄教授的商品流通理论主要包括三个方面:在内容方面,聚焦于商品流通理论的研究;在方法方面,多使用经验主义范式;在主要贡献方面,奠定了现代商学理论的根基,具体包括提出了“商业创造价值论”“流通产业基础论”和“商道即人道论”等三大理论,以及建立了现代商学的学科体系.