Effect Sizes in Qualitative Research: A Prolegomenon

The American Psychological Association Task Force recommended that researchers always report and interpret effect sizes for quantitative data. However, no such recommendation was made for qualitative data. Thus, the first objective of the present paper is to provide a rationale for reporting and interpreting effect sizes in qualitative research. Arguments are presented that effect sizes enhance the process of verstehen/hermeneutics advocated by interpretive researchers. The second objective of this paper is to provide a typology of effect sizes in qualitative research. Examples are given illustrating various applications of effect sizes. For instance, when conducting typological analyses, qualitative analysts only identify emergent themes; yet, these themes can be quantitized to ascertain the hierarchical structure of emergent themes. The final objective is to illustrate how inferential statistics can be utilized in qualitative data analyses. This can be accomplished by treating words arising from individuals, or observations emerging from a particular setting, as sample units of data that represent the total number of words/observations existing from that sample member/context. Heuristic examples are provided to demonstrate how inferential statistics can be used to provide more complex levels of verstehen than is presently undertaken in qualitative research.     

我国自然垄断产业的民营化改革

在自然垄断产业,国有企业垄断经营低效是一个世界性的问题。自然垄断产业在一定范围内具有可竞争性,即使是在不可竞争性的领域,也可以通过建立潜在的竞争性替代机制,形成模拟竞争环境。自然垄断产业的可竞争性为民营化提供了可能。自然垄断产业民营化就是通过产权制度变革,提高垄断企业的效率。     

Is Volatility the Best Predictor of Market Crashes?

The objective of this paper is to determine the best predictor of equity market crashes by focusing particularly on volatility and market liquidity. In finance, volatility has traditionally been regarded as the best measure of market risk. However, this paper shows that the forecast value of market liquidity, in particular our modified calculated market depth, predicts equity market crashes much more accurately than does the forecast values of EGARCH or Implied Volatility.     

公司业绩与财务杠杆

本文从实证角度分析了我国上市公司的财务杠杆对公司业绩的影响。结果表明,往年财务杠杆和当年财务杠杆对当年公司业绩的影响截然相反。财务杠杆对公司的息税后收益和息税前收益均有影响。长期负债率和长期借款率对公司业绩的影响分别比同年的流动负债率和短期借款率对公司业     

我国劳动力流动的动态和预期经济效应分析

劳动力流动是市场机制发挥配置资源作用的表现。从静态分析看,劳动力流动调剂了供需双方缺口,提高了整个社会福利水平。从动态角度看,我国的中心城市和经济先发展地区具有吸引资金、技术和知识资本的优越条件,决定着劳动力流动方向,而且因累积循环作用,引起回波效应大于扩散效     

对纳税筹划问题的理性思考

纳税筹划近年来日益受到人们的关注,但国内研究多侧重于筹划策略和方法。本文试图从理论上对纳税筹划的必然性、可能性及其经济和社会效应进行较深入的探讨,完善纳税筹划的指导思想,纠正对其错误的认识。     

以旅游消费驱动区域旅游竞合--以长江三角洲构建无障碍旅游区为例

以长江三角洲构建中国首个无障碍旅游区为例，提出旅游消费再生性、强关联性、跨区域性等特性是促成旅游竞合的天然机理，论述了作为市场力量的旅游消费是催生区域旅游竞合机制，促成旅游企业竞合的重要推动力，最后提出构建旅游消费驱动下的长三角区域旅游竞合的对策。     

葡萄球菌肠毒素B抗肿瘤作用的实验研究

探讨了葡萄球菌肠毒素B(SEB)对动物移植性肿瘤的抑制作用。以小鼠移植性肿瘤肝癌(Heps)、L2网织细胞瘤和肉瘤180(S180)为模型,环磷酰胺为阳性对照组,生理盐水为阴性对照组,观察不同剂量(5、10和20ng·Kg-1·d-1)SEB的抗肿瘤作用。不同剂量的SEB对小鼠肝癌(Heps)有明显抑制作用,抑瘤率分别为44.6%、46.7%和51.8%(P值均<0.05),对小鼠L2网织细胞瘤也有一定的抑制作用,抑瘤率分别为17.4%、44.7%(P<0.05)和44.1%(P<0.05)。SEB对小鼠S180的抑制作用不显著。结论是葡萄球菌肠毒素B(SEB)具有抗肿瘤效应,可作为一种有前途的抗肿瘤制剂进行研究。     

Optimal Emissions Taxation under Imperfect Competition in a Durable Good Industry

This paper investigates optimal emissions taxation under imperfect competition in a durable good industry where products are sold (instead of rented). As a benchmark, attention is paid to the special case of monopoly with exogenously given product durability. In line with previous literature, the optimal emission tax in this benchmark model falls short of marginal damage (underinternalization). Extending the benchmark model either to the case of an oligopolistic market structure and/or to the case of endogenous product durability then provides two cases in which the optimal emission tax overinternalizes marginal damage.     

Market microstructure in a global B2B network

On‐line marketplaces raise several interesting issues, among them the relevance of location when content is digitized, and the assessment of a supplier's capabilities when buyers worldwide only have electronic contact with sellers. In global B2B on‐line marketplaces, market microstructures, i.e. which firms compete for the same customers, are thus likely to be influenced by how customers value location and firm capabilities in their decisions to do business with different suppliers on‐line. We suggest that both these sets of attributes will continue to matter on‐line—firms possessing similar capabilities, as well as firms that are similar in location by country, time zones or clusters, will compete for business from the same customers. We model the similarity in competitive positions between pairs of firms based on the overlap in their customer networks, using data on actual interactions between supplier and customer banks on an electronic trading system. Using QAP network regression techniques on the 100 largest banks in this industry, we find that similarity in capabilities influences who competes with whom, and that location still matters in a global B2B exchange. Interestingly, location influences who a firm's competitors are, but not where its customers are from. Copyright © 2001 John Wiley & Sons, Ltd.