Analytical methods for planning educational facilities in an era of declining enrollments

With declining enrollments, metropolitan school districts are faced with problems of property disposition. A school facilities planning and management model utilizing a linear programming approach enables assessment of alternative uses for school facilities. The objective in this study is to minimize expenditures subject to constraints which include a limit to distance traveled, racial ethnic quotas, and overhead costs, such as transportation, maintenance and energy. An economic post-optimal cost sensitivity analysis of the proposed options is presented and also a comparison of this approach to school management with others found in the literature.     

Town centre management schemes in the UK: marketing and performance indicators

While town centre management (TCM) has proved to be a successful strategy to maintain, improve and regenerate town centres through local partnership, there has been relatively little attention drawn to the marketing of TCM schemes. This paper explores the issues surrounding the use of key performance indicators (KPIs) for the marketing of TCM schemes in the context of wider place marketing activities undertaken by towns and cities. Drawing on evidence from a questionnaire survey of town centre managers, it is posited that they might usefully employ carefully selected KPI data to maintain and attract private investment to TCM schemes from internal and external town centre stakeholders. The paper then introduces a typology for the use of KPI marketing in town centre management. Copyright © 2004 Henry Stewart Publications     

Technology assessment network building: The International Association of Technology Assessment and Forecasting Institutions

With the globalization of trade and the increased understanding of transboundary problems such as global climate change, the need for understanding the consequences of technological change has never been higher. Institutional arrangements necessary to assess these changes and make decision makers aware of the consequences have not necessarily adapted to these world conditions. In response to this leading technology assessment and forecasting institutions formed an international association of technology assessment and forecasting institutions to assist in the diffusion of technology assessment in the decision-making process. This paper discusses the origins of the International Association of Technology Assessment and Forecasting Institutions (IATAFI) and the goals and vision for the organization. The following articles represent some of the topics discussed at the first IATAFI conference in Bergen, Norway in May 1994.     

Firm exit after distress: differentiating between bankruptcy, voluntary liquidation and M&A

This paper examines firm-level determinants of mature firm exits after economic distress. Using nested logit models and a sample of 6,118 distress-related exits in Belgium, we analyze the type of exit that distressed firms experience. We show that 41% of the firms in our sample exit through a court driven exit procedure (mainly bankruptcy), 44% are voluntarily liquidated and 14% are acquired, merged or split (hereafter M&A). Distressed firm exit follows two distinct stages. First, a firm either decides to exit voluntarily or is forced into bankruptcy, which is the least efficient exit strategy. Compared to bankruptcy, the probability of a voluntary exit increases with higher levels of cash, lower leverage, holding no secured debt and being embedded in a group. If a firm exits voluntarily, it enters a second stage and decides either to exit through voluntary liquidation or through a M&A. Conditional on not going bankrupt, the likelihood of voluntary liquidation compared to M&A increases with higher levels of cash or secured debt, with smaller size and with an absence of group relations. We contribute to the firm exit literature by jointly analyzing three exit types and showing that bankruptcy and voluntary liquidation are fundamentally different exit routes. While voluntary liquidation is an important exit route for distressed firms, most previous studies have failed to distinguish between bankruptcy and liquidation. We hence contribute to the exit literature by showing that bankruptcy, voluntary liquidation and M&A are fundamentally distinct exit routes for distressed firms, driven by different firm level characteristics and following a two-stage process.     

经济开放与货币需求:国际金融风险及持币成本的测度

在中国开放经济体制下的基准货币需求模型中,本文将源于国际金融市场的持币成本设为遗漏潜变量,并构建特定的国际金融综合指数(CIFI)作为该潜变量的测度。借鉴机器学习与测度理论,本文利用对数误差修正模型提出了分步降维的CIFI构造算法,构造了长期CIFI和短期CIFI。结果表明,CIFI构造中的无监督降维步骤有助于减少高维金融数据中的冗余信息。实证分析发现,国际机会成本对中国货币需求具有规律性的前导影响,而在2007至2008年国际金融危机期间,央行的应急措施对长期CIFI所代表的非均衡冲击起到明显的阻截效果,对短期CIFI的影响基本是持续不变的。通过综合指数构造与宏观货币需求模型的算法连接,可以利用CIFI的构成结构从前导时间与影响强度两方面追踪冲击货币需求的国际金融风险的具体来源,这为宏观决策者监测国际金融市场提供了颇有规律的信息。在方法论上,本研究为如何利用模型监测国际金融市场影响宏观经济开辟了一条新路。     

Healthcare resource utilization by patients with treatment-refractory myasthenia gravis in England

Aims: To examine healthcare resource utilization associated with refractory myasthenia gravis (MG) in England.

Materials and methods: This was a retrospective cohort study of linked data from the Clinical Practice Research Datalink and the Hospital Episode Statistics database collected between 1997 and 2016. Included patients were ≥18?years of age at the index MG diagnosis. Patients with refractory MG were identified using an algorithm based on treatments received. Healthcare resource utilization since the index date was compared between refractory and non-refractory cohorts.

Results: The study included 1149 patients with MG, of whom 66 (5.7%) were refractory. Sex and age at diagnosis did not significantly differ between the refractory and non-refractory cohorts. Rates of healthcare resource utilization per person-year were significantly higher (p?p?Limitations: The algorithm for identifying refractory patients did not include clinical criteria. Also, treatments administered in hospitals or by specialists were not available in the databases.

Conclusions: Patients in England with refractory MG more often visit healthcare providers, are hospitalized and visit an emergency room than patients with non-refractory MG.     

On the cultural basis of gender differences in negotiation

We study how culture and social structure influence bargaining behavior across gender, by exploring the negotiation culture in matrilineal and patriarchal societies using data from a laboratory experiment and a natural field experiment. One interesting result is that in both the actual marketplace and in the laboratory bargaining game, women in the matrilineal society earn more than men, at odds with years of evidence observed in the western world. We find that this result is critically driven by which side of the market the person is occupying: female (male) sellers in the matrilineal (patriarchal) society extract more of the bargaining surplus than male (female) sellers. In the buyer role, however, we observe no significant differences across societies.     

The relationship between motivation,learning approaches,academic performance and time spent

Previous literature calls for further investigation in terms of precedents and consequences of learning approaches (deep learning and surface learning). Motivation as precedent and time spent and academic performance as consequences are addressed in this paper. The study is administered in a first-year undergraduate course. Results show that the accounting students have a slightly higher score for deep learning compared to surface learning. Moreover, high intrinsic motivation and extrinsic motivation have a significant positive influence on deep learning. Next, deep learning leads to higher academic performance; surface learning on the other hand leads to lower academic performance. The effect of deep learning on performance still holds, when we control for time spent, gender and ability. Consequently we can conclude that a deep learning approach is much more than ‘simply’ spending a lot of time on studying.