MUTUAL FUND PERFORMANCE EVALUATION – APPLICATION OF SYSTEM BCC MODEL

For the first time, this research adopts the system BCC model in data envelopment analysis in order to evaluate mutual fund performance and compares the results between the BCC model and the system BCC model. This study is based on the sample of stock funds and balanced funds in Taiwan, with the empirical results summarised as follows. (i) Under the system BCC model, the average score of balanced funds is greater than the average score of stock funds. (ii) There is a significant difference in efficiency scores between the BCC model and the system BCC model, and it is proper to adopt the system BCC model. (iii) The number of major reference sets that have been referenced under the BCC model is larger than under the system BCC model. (iv) If we neglect the distinctions between stock funds and balanced funds, there will be errors on performance assessment. Ultimately, the results reveal that there is a significant difference between the two models. Provided no consideration is made for the funds belonging to two different systems, errors in performance evaluation are inevitable. This research provides investors with both a more accurate and comprehensive evaluation method.     

我国采掘业上市公司并购绩效及其外部扩张

筛选沪深两市采掘业上市公司中在2008年发生并购的公司作为样本,对比全行业和未发生并购企业数据,采用数据包络分析方法(DEA)对长期并购绩效进行分析。研究结果显示,并购活动在短期内会对企业造成绩效冲击,但长期来看,并购有利于公司绩效的提升。     

Efficiency of travel agencies: A case study of Alicante,Spain

This study analyses the relative efficiency of 22 travel agencies of similar characteristics based in Alicante (Spain). This analysis is carried out using the Data Envelopment Analysis (DEA) technique and smoothed bootstrap. Following the analysis, possible lines of action that the agencies can take in order to improve their efficiency in the future are provided. Finally, using the Mann Whitney U Test, the relationship, or lack thereof, between the levels of efficiency of these agencies and their ownership type, location and level of experience is examined.     

应用数据挖掘技术识别财务报表舞弊的方法研究

如何识别财务报表舞弊成为国内外学者普遍关注的问题。基于传统识别技术的诸多固有缺陷,近年来数据挖掘技术应用到识别财务报表舞弊领域成为发展趋势。数据挖掘技术包括统计方法、人工神经网络和其他数据挖掘技术。文章不仅对各种识别模型和技术进行了归纳,而且比较分析了各种模型和方法的优缺点、判别正确率以及适用条件,为下一步实施实证研究提供支持。     

The relative efficiency of king's,ecclesiastical, and lay estates in Domesday Essex, 1086

In the Domesday survey of 1086, information on the inputs and output of most production units in the English economy was carefully collected by questionnaire survey and verified in court. In this paper, Essex estate data are used to assess whether similar production functions describe production for the three major classes of production unit in the economy – king's, ecclesiastical, and lay estates. A data envelopment analysis is undertaken to determine whether production on one class of estate was more efficient than on the others. The evidence suggests that production processes and management performance were similar on the three classes of estate.     

中国OFDI的产业选择策略

在经济全球化迅速蔓延和全球产业结构加速调整的时代背景下,我国的对外直接投资(OFDI)也呈现出持续增长态势.而合理的OFDI产业选择策略能推动我NOFDI总量的增长以及国内产业结构的优化升级,本文通过分析我国OFDI产业选择的现状及存在问题,结合DEA效率测算提出我国OFDI产业选择战略及相关政策建议.     

DEA方法在员工招聘中的应用

员工招聘是提高人力资源效率的重要途径。科学、有效的员工评估方法是保证有效招聘的关键。文章针对传统招聘方法存在的不足,提出在员工招聘中运用DEA方法对应聘者进行评估,并以实例证明此方法是有效可行的。     

Book Review

Following review of definitions of New Public Management (NPM), the paper assesses whether Canada has adopted the NPM, organized by Kernaghan and Charih's (1997) categories and using Loeffler's (1997) definition. Canada has reorganized the machinery of government, changed management methods and reduced the federal public sector substantially. Despite high debt, Canada's federal government reduced its expenditures and/or public service as much or more than the UK and New Zealand. Its expenditures as a proportion of GDP are now similar to those of the UK and New Zealand, the major proponents of NPM.     

Comparative research in industrial relations: helping the survey cross frontiers

There has been a relative dearth of comparative, cross-national research which has followed a survey-based approach. This partly reflects the difficulty that researchers encounter in collecting such information, either via primary collection or the secondary matching of existing survey material. This paper addresses these difficulties and suggests ways in which their impact can be minimized. It notes that such difficulties are much more severe in the case of secondary matching and are thereby likely to constrain the scope of this approach. They are not totally absent in primary collection and it is suggested that there are limits to what can be achieved during data collection to promote the development of like data-sets across countries. This indicates that great care must be taken in interpreting data so obtained. Despite such limits and cautions, it is nevertheless concluded that the survey approach can be an important adjunct to the process of understanding why the world of work varies across frontiers.     

Intellectual capital and firm performance: evidence from Indian banking sector

In the aftermath of the 2008 financial crisis, the entire Indian banking industry was paralysed and their performance was shattered by the unfolding of enormous cases of Non-performing Assets (NPA). The study estimates the operating efficiency of 40 Indian banks for 5 years (2011–15) as a proxy of performance measure using the output-oriented DEA-BCC model. We find that nearly 62% of the state-owned banks and 47% of the private banks are inefficient indicating that the inefficient banks need to reduce their inputs or improve their output to become efficient. The study further investigates the relationship between intellectual capital (IC) and bank performance using a truncated regression model. The regression results show that out of the three components of intellectual capital, only human capital efficiency is positively and significantly associated with operational efficiency while structural capital and finance capital have a negative impact on the efficiency of banks. The study concludes that to achieve competitive edge banks should invest in their human capital. The results are robust in the case of financial variables taken as a proxy for performance.