A comparative efficiency analysis of Spanish and Turkish airports

AENA in Spain and DHMI in Turkey operate a large majority of the airports in their respective countries. These two airport operators share some similar characteristics, but also present many differences with respect to their management strategies. For instance, the Turkish DHMI introduced a Build-Operate-Transfer (BOT) model and concession agreements, which enables active private participation in airport management. In contrast, management and operation responsibilities at all airports in Spain –with a few exceptions-have remained with AENA. This paper utilizes a data envelopment analysis (DEA) to compare the relative efficiency of airports within AENA and DHMI for the years between 2009 and 2011. Based on the efficiency scores, it further identifies the sources of inefficiencies resulting from various management strategies and other external factors. The results indicate higher average efficiency levels at Spanish airports, but private involvement enhances efficiency at Turkish airports. The majority of the airports in Spain and Turkey operate under increasing returns to scale. Certain policy options, including a higher private involvement and improvement of the airport network by closing some inefficient airports, should be considered in order to increase the airport efficiency in both countries.     

Customer relationship management in retailing: A content analysis of retail trade journals

The purpose of this research was to increase knowledge and understanding of how retailers use business intelligence and data mining tools to implement customer relationship management (CRM) in retailing. Specific objectives were to (1) identify organization and infrastructure requirements for CRM effectiveness, (2) identify CRM objectives and goals of retail companies, (3) identify data mining tools utilized by retailers to perform CRM functions, and (4) identify CRM strategies used by retail companies. A keyword search within business databases using CRM and CRM identified publications with CRM content. Content analysis was used on articles (N=149) drawn from Stores, Chain Store Age, Harvard Business Review, and Retail Forward over a 5 year period (2000–2005). Selected articles were stored as text files in QDA Miner, a computerized qualitative analysis tool. Key organization/infrastructure needs emerged focusing on data structure, organizational systems, technology structure, and data accessibility. Retailers goals/objectives and strategies focused on marketing, customer service, understanding customers through data analysis and increasing acquisition and retention through customer loyalty programs. Data mining tools identified supported marketing and customer analysis efforts. Findings provide insight into the challenges retailers face as they implement a more customer-centric business strategy.     

基于DEA的资源配置评估系统研究

经济是研究如何配置资源的科学。资源配置问题,一直是经济学研究的核心问题。应用先进的数学统计分析工具(数据包络分析—简称DEA)建立一个资源配置的评价模型,并以黑龙江省工业行业为例,进行了实证分析。     

Incorporating satisfaction measures into a restaurant productivity index

The increasing stature of the foodservice industry in the global service economy suggests that productivity analyses—similar to those performed in non-service-based settings—would benefit multi-unit operators by maximizing their desirable operational outcomes while minimizing expenses and other detrimental conditions such as low job satisfaction. This paper suggests that such analyses might be possible through the application of a holistic productivity metric—one that includes traditional operational variables such as revenue, profit, food cost, and labor cost, and previously ignored variables such as guest and employee satisfaction as well as retention equity. Through data gathered from a single chain's 36 corporate-owned, same-brand casual-theme restaurants located in metropolitan centers across the United States, we found that factors leading to maximum outputs such as controllable profit and retention equity include employee satisfaction in addition to expected variables such as cost of goods sold and number of seats. Most notably, employee satisfaction as an input proved to be the most volatile variable in maximizing operational outputs.     

DM技术及其在数据处理中的应用

简要介绍了DM(数据挖掘 )及其工作过程 ,并指出了数据挖掘过程中应注意的问题 ,最后给出了一个具体的数据挖掘的例子     

地方政府公共投资与区域经济增长的差异性分析

文章采用全国31个省、自治区和直辖市1995~2008年的面板数据,构建动态面板数据模型,考察了地方政府公共投资对区域经济增长的影响。研究表明,1995年以来我国地方政府公共投资总体上推动了区域经济增长,但不同公共投资项目的拉动效应在区域间存在着较大差异。     

银行客户风险统计的国际比较与建议

银行客户风险统计旨在实现客户风险信息在各家商业银行间的共享,为银行风险管理和监管决策服务.但其数据信息来源单一、采集成本高昂的问题不可忽视.通过国际经验的分析比较,本文建议建立专业的第三方征信机构,以共享交流的机制,采集客户风险数据信息,既提高数据的质量,又降低采集成本;利用数据挖掘技术,开发利用海量的原始数据,将庞杂无序的"数据坟墓"转换成有价值的"知识金块",建立全方位的风险预警管理体系.     

实时数据与货币政策分析和评价——基于产出缺口的一个说明

本文基于1994Q1-2008Q4的数据并分别利用三次趋势和HP滤波两种模型方法估计了我国的实时、准实时和最终产出缺口,分析表明,这一时期我国的产出缺口遭受了较大而且高度持续的修正,说明我国的实时产出缺口和基于事后修正数据估计的产出缺口有很大不同。由于产出缺口是货币政策决策的重要依据,而货币政策决策总发生在实时,不能等待后来产出缺口等数据信息的修正,因此,区分实时数据和事后修正数据对政策分析和评价而言可能就十分重要。     

宏观经济变量对中国国债风险溢价影响的实证研究——基于上海证券交易所的交易数据

本文基于面板数据模型,对各主要宏观经济变量及利率期限结构对国债风险溢价的影响进行了实证研究.研究结果表明:国债利率期限结构曲线越陡峭,国债的风险溢价水平越高;通货膨胀因素对国债风险溢价水平的影响较大;规模以上工业增加值、上证综合指数月度收益率与L 债风险溢价水平存在显著负相关关系;广义货币供应量与国债风险溢价水平存在显著正相关关系;官方利率与国债风险溢价水平的关系较弱.     

Evaluating the efficiency and productivity change within government subsidy recipients of a national technology innovation research and development program

This study analyzes the efficiency and productivity change within government subsidy recipients of a national technology innovation research and development (R&D) program. We examine 6,990 government‐sponsored, completed R&D projects during the last three performance follow‐up survey years from 2010 to 2012, and present a design of the sample of panel data to cope with the typical R&D performance time lag using a set of massive observations associated with completed R&D projects for the past 7 years from 2005 to 2011. In particular, data envelopment analysis is adopted to measure the efficiency and productivity change, which is measured in the Malmquist index. Parametric and nonparametric statistical tests are carried out to check for statistically significant differences among the characteristics regarding the types of government subsidy recipients. This study's major findings are as follows. First, during the entire period analyzed (2010–2012), there was a similar yearly pattern of statistically significant differences in the government subsidy means among the recipient types. In contrast, there were no obviously equivalent differences in the efficiency and productivity change. Second, the productivity had increased year on year, but the increments were reduced from year to year. Third, the productivity change was induced mainly by the Frontier‐shift, which indicates overall technology innovation progress, compared with the Catch‐up, which only indicates a simple increase in the efficiency. In particular, in this empirical analysis, the recipient types of ‘national laboratory’ and ‘large company’ had relatively larger sizes of government subsidies per project. However, the efficiency and productivity change of these types was not better than the others. This implies, therefore, that the government should control the ratio of the subsidy to the total R&D budget with an appropriate upper limit.

• I empirically evaluate the productivity change within a national technology innovation R&D program.
• I design a sample of panel data to cope with the typical R&D performance time lag using massive observations.
• There is no obvious relationship between the government subsidy size and R&D productivity change.
• Some particular types of government subsidy recipient are inferior in terms of R&D productivity change.
• It practically implies that the government should control the ratio of the subsidy to the total R&D budget.