The Impact of Omitting Promotion Variables on Simulation Experiments

Using store-level scanner data, elasticity matrices are estimated using a twotiered demand system. Two basic models are estimated, one with promotion variables and one without. Differences between the estimates across the two models are statistically significant. However, when the elasticities are used as 'inputs' into several simulation exercises, there are only small differences in merger effects and patent damage estimates.The results suggest that the differences are not 'economically' significant.     

Data Envelopment Analysis of different climate policy scenarios

Recent developments in the political, scientific and economic debate on climate change suggest that it is of critical importance to develop new approaches able to compare policy scenarios for their environmental effectiveness, their distributive effects, their enforceability, their costs and many other dimensions. This paper discusses a quantitative methodology to assess the relative performance of different climate policy scenarios when accounting for their long-term economic, social and environmental impacts. The proposed procedure is based on Data Envelopment Analysis, here employed in evaluating the relative efficiency of eleven global climate policy scenarios. The methodology provides a promising comparison framework; it can be seen as a way of setting some basic guidelines to frame further debates and negotiations and can be flexibly adopted and modified by decision makers to obtain relevant information for policy design. Three major findings emerge from this analysis: (i) stringent climate policies can outperform less ambitious proposals if all sustainability dimensions are taken into account; (ii) a carefully chosen burden-sharing rule is able to bring together climate stabilisation and equity considerations; and (iii) the most inefficient strategy results from the failure to negotiate a post-2012 global climate agreement.     

Using Simulation and Data Envelopment Analysis to Compare Assembly Line Balancing Solutions

This paper presents a technique for comparing the results of different assembly line balancing strategies by using Data Envelopment Analysis (DEA). Initially, several heuristics--which can be thought of as assembly line balancing strategies--were used to solve seven line-balancing problems. The resulting line balance solutions provided two pieces of information that were of particular interest: the number of workers needed and the amount of equipment needed. These two items were considered inputs for DEA. The different line balance solutions were then used as layouts for simulated production runs. From the simulation experiments, several output performance measures were obtained which were of particular interest and were used as outputs for DEA. The analysis shows that DEA is effective in suggesting which line balancing heuristics are most promising.     

电磁导引器电路设计及数据采集分析软件

介绍自动导引车导引传感器的硬件电路设计原理；给出了数据采集与分析软件程序框图。     

PTE,innovation capital and firm value interactions in the biotech medical industry

Unlike previous studies which only focus on the main effect between IC and FV, this research includes PTE with the gap of resource-based view. IC is a key element in creating a competitive advantage, as it has a great influence on FV. A company may put relatively less into IC if it demonstrates higher efficiency. However, previous studies have neglected the fact that relative efficiency and IC affect FV and stock returns directly and indirectly. The research period was from 2006 to 2010 and the main research methods include HRA and DEA. The main research findings include the following. (1) There is a space for improvement in terms of the total technical efficiency. (2) PTE has a significant moderating effect between IC and FV. (3) IC and PTE have a significant influence on FV. (4) Apart from PTE and stock returns, IC and FV show significant differences within the sub-industry.     

基于引入理想决策单元DEA的公租房配租方法研究

摇号是目前重庆公租房分配的唯一形式,由于不能区分谁更迫切地需要公租房的问题,不能更好地解决分配公平的问题,本文在建立申请人状况的评价指标系统基础上,采用引入理想决策单元的数据包络分析模型,考虑申请人的困难状况对申请人进行评价和排序,以比摇号更公平的方式分配公租房,这在目前公租房数量较少的情况下有更现实的公平意义.     

我国区域经济增长的开发性金融支持效应分析——基于面板数据模型的研究

随着我国经济增长方式从粗放型向节约型可持续发展方向转变,开发性金融理论与实践日益受到重视。本文利用面板数据分析了开发性金融对区域经济发展的影响,结果表明,近几年来开发性金融对区域经济增长的促进作用是明显的,对缩小区域差异的作用不明显,但通过分析认为开发性金融是缩小区域经济差异的有效政策手段。     

中国区域经济协调发展中的投资导向研究

总体上以投资促经济增长的发展战略,有可能因忽视区域特点而产生误导.有鉴于此,本文应用省区面板数据,分别从总体和分区域地检验了投资与增长之间的Granger因果关系,并在因果关系的条件下计算了投资对增长的长期影响系数.结果发现,在不同区域投资与增长之间的因果关系呈现出不同的特点,而且投资对增长的影响方向与作用力度迥异.文章最后也尝试着寻求推动区域经济发展的共同因素.本文的理论含义是,总体分析因为忽略了区域特征而产生严重误导;政策建议是,投资应侧重东、中部地区,尤其是中部地区,而西部地区更应注重科技投入和引进外资等发展策略.     

Here come the men in black Technology and anxiety in the postmodern age

This review of the film Men in Black argues that what used to be alarming in the science fiction genre has now become its main source of humour. As a reactionary response to the dystopic X-Files, MiB is an elaborate parody which seeks to recuperate ideological ground lost by the X-Files' examination of gender and technology in contemporary culture. Anxiety about the roles of technology, gender and the state are replaced by humour about the notion of anxiety itself. Anxious we may be at the close of the millenium, but MiB tells us to just laugh it all away.     

The Effect of Sample Size on the Mean Efficiency in DEA with an Application to Electricity Distribution in Australia,Sweden and New Zealand

This study examines the effect of sample size on the mean productive efficiency of firms when the efficiency is evaluated using the non-parametric approach of Data Envelopment Analysis. By employing Monte Carlo simulation, we show how the mean efficiency is related to the sample size. The paper discusses the implications for international comparisons. As an application, we investigate the efficiency of the electricity distribution industries in Australia, Sweden and New Zealand.