关于企业价值的内涵极其评估方法

对价值与企业价值的内涵进行分析,认为企业价值是企业现有基础上的获利能力与潜在的获利能力之和,对目前比较流行的评估方法进行分析,得出收益现值法是最能体现公允价值的一种评估方法。     

铁岭市土地利用总体规划实施环境影响评价研究

在分析铁岭市土地利用存在的生态环境问题的基础上,提取土地利用环境影响因素,建立土地利用环境影响评价指标体系,运用层次分析法进行土地利用总体规划实施环境影响评价,并提出减轻不良环境影响的对策和措施。     

我国西部生态环境建设绩效评价体系研究

“局部改善,整体恶化”是我国西部地区生态环境状况的真实概括。为了治理西部地区的生态环境,党中央于1999年6月确定了西部大开发战略,将能源开发同生态环境治理并举。6年来,中央财政性建设资金投向西部地区4600亿元,转移支付和专项补助5000多亿元。国家计划在10年间退耕还林2．2亿亩,投资3600亿元。由于生态环境建设的绩效是一个漫长的量变累积过程,通过确定我国西部地区生态环境状况四大特征,建立“常态、一般、差”三级评价指标体系,对西部地区生态环境建设的绩效做出客观评价,有利于坚定人们对西部地区生态环境建设的信心。     

基于FAHP的网络招投标风险研究

本文通过风险识别,风险评估和风险应对这三种方法,对网络招投标中可能存在的风险进行了分析。针对网络招投标双方,分别建立适用于它们自身的风险评估指标体系。利用模糊层次分析法,对网络招投标双方的风险评估模型进行构建,结合德尔菲法,通过Yaahp软件,确定各个指标的权重,进而找出对网络招投标双方产生较大影响的风险因素,最后利用风险应对的方法,提出了降低招投标双方风险的对策。     

电力商标分析及评估模型的构建

本文分析了电力商标的实质内涵，总结了电力商标的基本特征，在此基础上对商标的评估模型进行了创新构建，新建模型有两大特点：一是将商标收益分割为两部分计量；二是用强度系数进行了调整强化，为电力商标的评估提供一种新思路。     

物料流量会计的深化——利用MFCA与LCA的整合评估外部损害成本

物料流量成本会计(MFCA)是一种环境管理会计运用工具,也是企业高级管理人员和现场生产经理制定决定的一种工具.MFCA通过减少废弃物来实现提高生产能力的目标.MFCA衡量了材料的物量和存量信息,即在生产过程中的原材料、备品备件以物流和货币的单位表示出来,将MFCA与生命周期评价(LCA)整合,以此来评估外部损害成本.     

Brentuximab vedotin in relapsed/refractory Hodgkin lymphoma post-autologous stem cell transplant: a cost-effectiveness analysis in Scotland

Objective: To evaluate cost-effectiveness of brentuximab vedotin in patients with relapsed/refractory Hodgkin lymphoma who have received autologous stem cell transplantation, from a Scottish healthcare payer perspective.

Methods: A Microsoft Excel-based partitioned survival model comprising three health states (progression-free survival [PFS], post-progression survival, and death) was developed. Relevant comparators were chemotherapy with or without radiotherapy (C/R) and C/R with intent to allogeneic hematopoietic stem cell transplantation (alloSCT). Data were obtained from the pivotal phase II single-arm trial in 102 patients (SG035-0003; NCT00848926), a systematic literature review and clinical expert opinions (where empirical evidence was unavailable). PFS and overall survival for brentuximab vedotin were estimated using 5-year follow-up data from SG035-0003, and extrapolated using event rates observed for comparator treatments from published survival data. Resource use included drug acquisition and administration; alloSCT; treatment of adverse events; and long-term follow-up. Deterministic and probabilistic sensitivity analyses were conducted to evaluate the impact of uncertainty.

Results: In the base case, the incremental cost-effectiveness ratio (ICER) for brentuximab vedotin was £38,769 per quality-adjusted life year (QALY) vs C/R, whereas C/R with intent to alloSCT was dominated by brentuximab vedotin. ICERs for brentuximab vedotin generated by the deterministic sensitivity analysis ranged between £32,000–£54,000 per QALY. Including productivity benefits reduced the ICER to £28,881 per QALY.

Limitations: Limitations include lack of comparative data from this single arm study and the heterogeneous population. Inconsistent baseline characteristic reporting across studies prevented complete assessment of heterogeneity and the extent of potential bias in clinical and cost-effectiveness estimates.

Conclusions: Although the base case ICER is above the threshold usually applied in Scotland, it is relatively low compared with other orphan drugs, and lower than the ICER generated using a previous data cut of SG035-0003 that informed a positive recommendation from the Scottish Medicines Consortium, under its decision-making framework for assessment of ultra-orphan medicines.     

The Load Model: an alternative to QALY

Background: QALYs are widely used in health economic evaluation, but remain controversial, largely because they do not reflect how many people behave in practice. This paper presents a new conceptual model (Load Model) and illustrates it in comparison with the QALY model.

Methods: Load is the average annual weight attributed to morbidity and mortality over a defined period, using weightings based on preference judgements. Morbidity Load is attributed to states of illness, according to their perceived severity. When people are in full health, Load is zero (no morbidity). Death is treated as an event with negative consequences, incurred in the year following death. Deaths may be weighted equally, with a fixed negative weight such as ?100, or differ according to the context of death. After death, Load is zero. In a worked example, we use the standard gamble method to obtain a weighting for an illness state, for both Load and QALY models. A judge is indifferent between certainty of 1.5 years’ illness followed by death, or a 50/50 chance of 1.5 years’ full health or 1-year illness, each followed by death. The weightings calculated are applied to a hypothetical life, 72 years in full health followed by 3 years with illness then death, using both models. Three other hypothetical outcomes are also compared.

Results: For an example life, the relative size of the morbidity component compared with the mortality component is much higher in the Load model than in the QALY model. When comparing alternative outcomes, there are also substantial differences between the two models.

Conclusions: In the Load model the weight of morbidity, relative to mortality, is very different from that in the QALY model. Given the role of the QALYs in economic evaluation, the implications of an alternative, which generates very different results, warrant further exploration.     

Assessing impact of regulatory risk on shareholders’ wealth

Research indicates that regulatory risk increases required return on investment by investors and causes underinvestment in industries with high sunk costs. The effects of regulatory changes may be measured by estimating the abnormal returns associated with the event. The results may suggest to regulators what should be encouraged or avoided. This article utilizes a fixed effects regression to examine abnormal returns from changes in Philippine nationalization regulations. The results are consistent with extant literature. Supreme Court decisions, which increased uncertainty and regulatory risk, produced negative abnormal returns. The initial release of draft implementing rules did not produce statistically significant effects, but a succeeding draft favouring liberalization, produced positive abnormal returns.     

New insights into an old problem – enhancing student learning outcomes in an introductory statistics course

Many students enrolled in first year introductory statistics courses believe learning statistics is a waste of time and fear they will fail. In this study, we explored the impacts on learning outcomes for students in an introductory statistics course by allowing students to arbitrarily choose their own sequence of learning from three key learning activities, namely tutorials, Peer-Assisted Study Sessions and Computer-Managed Learning quizzes. Unlike the old regime where the learning activities followed a strict, rigid sequence, a new regime allowed students to freely choose when, where and how they engaged with the course learning activities. This allowed increased opportunities for students to receive relevant and timely feedback. Using a total of 1187 students enrolled in semester 2 of 2011, 2012 and 2013, data were collected on students’ scores from 7 assessment tasks. Our experimental design ensured as many course features as possible remained constant between the control cohorts (of 2011 and 2012) and the experimental cohort (2013), thereby avoiding potential sample selection problems. The findings showed student learning outcomes in the new regime improved significantly. Interestingly, the effects were found to be greatest in the lower percentile of the score distribution.