A division of the capitalist class and the market for money capital

In a one‐commodity economy populated by capitalists equipped with equal endowment but with heterogeneous linear production technology, a division of the capitalist class emerges endogenously. The capitalists with relatively weak technology, yielding the profit rate lower than the interest rate, become a money capitalist (lender), whereas the capitalists with relatively strong technology, yielding the profit rate greater than the interest rate, become an industrial capitalist (borrower). The equilibrium interest rate is derived by the associated demand and supply relation. From this setup of the model follow two essential relationships Marx establishes between the average profit rate and the interest rate: (a) that the profit (rate) sets a maximum limit of interest (rate), and (b) that the two rates are correlated in the long‐run. Lastly, the profit rate of financial sector is less than that of industrial sector due to the basic setup of the model where the industrial sector uses leverage to amplify the underlying capital profit rate, whereas the financial sector lacks intermediation technology, which would have enabled it to borrow profitably.     

Leveraging ideas from user innovation communities: using text‐mining and case‐based reasoning

User innovation communities, where end users voluntarily share their ideas about new products or services, have become an important source of innovation. While efforts have been made to extract and develop ideas from these sources, existing studies have largely focused on company‐led efforts to facilitate user participation, rather than on voluntary user discussions within communities themselves. As a remedy, this research proposes to directly target those voluntary ideas from user innovation communities for product/service innovation. Because quantities of textual information within these communities are rather massive, we propose a modified and integrated approach of text‐mining (TM) and case‐based reasoning (CBR). Specifically, by constructing two casebases on ideas and existing products using TM and checking for overlap between the two using CBR, the approach enables the identification of opportunities for innovation and reference products for adaptation. We demonstrate the approach through a case of mobile apps in Apple App Store, and our findings suggest that the approach can help firms and users/developers broaden the source of ideas and leverage them into new product concepts.     

The price of going green: the role of greenness in green bond markets

In this paper, we empirically investigate how greenness information is priced in the green bond market. Our comparison of liquidity-adjusted yield premiums of green bonds versus synthetic conventional bonds indicates that, on average, there is no robust and significant yield premium or discount on green bonds. However, green bonds certified by an external reviewer enjoy a discount of about 6 bps. Furthermore, green bonds that obtain a Climate Bonds Initiative certificate show a discount of around 15 bps. The findings suggest that a universally accepted greenness measure can benefit the development of the green bond market.     

YouTubers’ networking activities during the 2016 South Korea earthquake

While YouTube has become an important social networking platform for risk and crisis communications, research into its role and use during environmental disasters has not been conducted. The present study investigates how Korean YouTubers reacted during the 2016 Gyeongju earthquakes. Two kinds of data were collected from the most popular YouTube clips on the earthquake (from AfreecaTV and YonHap news): the most frequently used words in the replies to the comments and the networked forums among YouTubers. Findings suggest that YouTube has become a channel for quickly increasing public awareness of crises and for promoting safety strategies. InDegree Centralization is higher in professional videos. Hierarchy measure’s value is one, which means the reply-to network is not two-way. There is sparse close-knittedness in amateur videos. Community clusters emerge in amateur videos over time. The results also reveal that YouTubers on AfreecaTV are more likely to express emotional opinions than their counterparts on YonHap news are.     

独立学院经管类专业学生就业竞争力研究——基于陕西省三所独立学院的调查

本文在对陕西三所独立学院进行调查的基础上,试图探索建立适合经管类学生就业竞争力提升的模型,以培养大批素质优良、特长鲜明,能快速切入企业岗位的应用型创新型人才。     

基于多维频谱地图的干扰规避

针对复杂电磁环境下卫星移动通信系统可靠通信需求，利用频谱地图多维数据呈现优势，提出了基于多维频谱地图的干扰规避方法。通过建立卫星移动通信系统波束、时隙、子频带、干扰强度等多维信息关联的频谱地图，利用数据挖掘方法对频谱可用情况进行预测，基于预测结果及用户QoS(Quality of Service)需求生成干扰规避策略，通过星地联合频谱资源调配实现系统干扰规避。该方法为卫星移动通信系统干扰规避提供了一种全新的思路，可提升卫星移动通信系统干扰防护能力。     

Varying Coefficient Regression Models: A Review and New Developments

Varying coefficient regression models are known to be very useful tools for analysing the relation between a response and a group of covariates. Their structure and interpretability are similar to those for the traditional linear regression model, but they are more flexible because of the infinite dimensionality of the corresponding parameter spaces. The aims of this paper are to give an overview on the existing methodological and theoretical developments for varying coefficient models and to discuss their extensions with some new developments. The new developments enable us to use different amount of smoothing for estimating different component functions in the models. They are for a flexible form of varying coefficient models that requires smoothing across different covariates' spaces and are based on the smooth backfitting technique that is admitted as a powerful technique for fitting structural regression models and is also known to free us from the curse of dimensionality.     

Relevance of culture in studies of leadership: ignored or dismissed?

Asia Pacific Journal of Management - Until recently, conclusions drawn about leadership have been made from a decidedly Western perspective, primarily based on theory developed in the U.S. using...     

发明人角色识别及二元创新能力差异分析——社会资本视角的解释

发明人的创新活动嵌入在合作创新网络中。基于社会资本视角，从结构资本和认知资本两个维度辨识并定义4类发明人角色，包括“明星”、“纽带”、“平庸”和“活跃”发明人。以人工智能领域在德温特专利数据库（DII）授权的专利数据为样本，运用负二项模型，对4类发明人的二元创新能力进行实证对比分析。结果表明，不同角色发明人的二元创新能力显著不同。其中，“明星”发明人的二元创新能力最高，“平庸”发明人的二元创新能力最低，“活跃”发明人的二元创新能力高于“纽带”发明人，即认知资本对二元创新的影响大于结构资本。结论对提升发明人二元创新能力具有重要参考价值。