基于动态AHP的企业信息化水平评价——江苏沙钢集团信息化水平案例研究

文章运用动态AHP方法研究企业信息化的发展过程,并结合江苏省沙钢集团企业信息化发展的案例,根据信息化五阶段模型,判断该企业信息化所处的发展阶段,继而对沙钢集团信息化发展提出战略性建议。希望不仅对沙钢集团有指导和推动作用,对其他企业的信息化发展也有启示和帮助。     

Cropland use,yields, and droughts: spatial data modeling for Burkina Faso and Niger

For countries with recurrent droughts, the design of drought impact mitigation measures could benefit from analyses of determinants of yields and prices of local crops at regional and district level. This study applies dynamic spatial panel data regression models to yields and prices of four major food crops across regions of Burkina Faso and Niger, over sample periods between 1984 and 2006. Results lend support to mainly simultaneous spatial spillovers, particularly for millet and cowpea prices and sorghum yields in Niger, and maize yields in Burkina Faso. After accounting for these effects, most crop yields are found to be weakly price‐responsive, as envisaged by a supply‐side geographical diffusion hypothesis. Seasonal rainfall elasticity estimates suggest that dominant food crops have slight advantage margins in terms of relative resilience to rainfall shortages. However, this result is to be weighed against low millet yields in Niger, and marked drops in sorghum yields during officially declared droughts in Burkina Faso.     

公共支出与经济增长关系的新视角——基于省际面板数据的经验研究

本文在三个前提假设的基础上,构建了一个简单的解释经济增长的理论框架,并由此建立了两个计量模型,通过对中国14个省区1991至2003年的面板数据的实证检验,得出在转型经济时期的中国,公共支出、政府消费性支出都对经济增长有显著的正向作用,而公共支出中的转移性支出与经济增长呈现非常弱的正相关关系.实证检验结果的政策意义在于,(1)作为宏观调控的手段之一,公共支出仍然对经济增长有显著正效应.(2)有关政府部门应当重视并发挥好公共支出中转移性支出的功能.     

最优动态汇率风险套期保值模型研究

构建一个最优动态汇率风险套期保值理论模型,并将其套期保值效率与静态策略进行实证对比.采用对角BEKK模型来捕捉货币现货与期货市场的交互影响,从而刻画风险最小化套期比率的动态特征,结果表明,套期保值能减少汇率风险,但具体的套期保值策略的效率高低排序与避险频率相关.     

城市轨道交通相邻多车站动态协同限流研究

为应对城市轨道交通车站高峰期客流压力,限流已经成为常态应对措施,而经常采用的限流策略大多针对单个车站,缺少对相邻多个车站的协同考虑。基于客流在车站间的传播效应,以乘客总延误时间最小为目标,以站台及列车能力为约束条件,构建城市轨道交通相邻多车站协同限流决策模型,同时为实现实时动态控制,引入滚动时域控制方法,优化多车站动态协同限流流程。以北京地铁8号线为例,经过相邻若干车站运营数据进行限流策略计算。结果表明,该模型限流可以在不造成车站服务人数损失的同时,将乘客总延误时间降低21%。     

What determines international tourist arrivals in India?

Using data for 18 major tourist originating countries to India from 2001 to 2015, this study examines the major determinants of international tourist arrivals in India. The results indicate that past experiences of the tourists, per capita income in the tourist originating country, relative costs of living between India and the country of origin, and the level of infrastructure development in India are key determinants of international tourist arrivals in India. Furthermore, both transportation and communication infrastructure are important in attracting tourists to India. In particular, evidence suggests that availability of road and air network and telephone connections has favourable impacts on international tourist arrivals in India. These results are robust to the inclusion of additional variables. These results have important policy implications.     

A review of Delphi forecasting research in tourism

The Delphi technique is the most popular judgemental forecasting method in tourism studies, but theoretical and empirical developments in this area (especially for forecasting purposes) have been slow. This paper analyses published research on Delphi forecasting in tourism and hospitality, explores how the Delphi forecasting method has progressed over the past four decades in terms of topical areas, empirical applications, and issues of reliability and validity, and is thus expected to advance understanding of the Delphi technique, providing topical and methodological recommendations for researchers and industry practitioners for producing accurate forecasts. The literature concerning the qualitative and quantitative applications of Delphi forecasting in tourism is mainly divided into three research themes: event forecasting, forecasting tourism demand, and forecasting future trends/market conditions (the most popular application). Issues of accuracy, reliability, and validity, as well as a group of Delphi-specific characteristics, such as panel size, panel selection, consensus measures, and analysis of results, are summarized and discussed. This study also examines the accuracy of Delphi forecasts as well as exploring the role of the Delphi approach in integrating human judgement into quantitative forecasts.     

中国工业行业能源强度影响因素的实证分析

利用中国31个工业行业1998—2004年面板数据,采用分层聚类方法,按年平均能源强度将31个工业行业分为高能源强度行业和低能源强度行业,并对全工业行业、高能源强度行业和低能源强度行业能源强度的影响因素进行了实证分析。研究结果表明,能源价格上涨对提高工业行业的能源利用效率有显著的促进作用;FDI进入程度的增大提高了工业行业尤其是高能源强度行业的能源强度;进、出口商品结构变化对工业行业能源强度没有显著影响;工业内部的行业结构变化对全工业行业和低能源强度行业的能源强度有显著负的影响,对高能源强度行业没有显著影响;R&D投资强度的增加提高了工业行业特别是高能源强度行业的能源强度。     

中国商业地产业发展的实证分析

中国城市化和经济发展水平不断提高,导致社会商品销售额的高速增长,进而促使商业地产业进入快速发展阶段。目前,中国商业地产业的特征是：商业地产投资规模迅速增长并向中心城市集中,商业地产投资主体呈多元化,商业地产融资以银行贷款等间接融资为主要渠道,而囿于融资和变现困难,商业地产开发商大都选择了以出售为主的开发模式,不同城市商业地产的价格特征存在明显差异。运用北京、上海、广州、深圳等四个城市2000～2007年的面板数据对商业地产开发的影响因素进行实证检验表明,社会商品零售总额和城镇居民人均可支配收入对城市商业地产竣工面积和商业地产投资额具有显著的正的影响,而利率和销售价格的影响并不显著。     

基于ArcSDE和SQL Server 2005的城乡动态监测集成数据库的构建——以义乌市城乡动态监测集成数据库为例

海量城乡动态监测数据的组织和管理是城乡动态监测亟待解决的问题。本文以义乌市城乡动态监测集成数据库为例,在对城乡动态监测集成数据库特点进行深入分析的基础上,介绍了基于ArcSDE和SQL Server 2005的城乡动态监测集成数据库设计及构建流程,并对城乡动态监测数据分类与编码、数据库逻辑设计及数据库存储设计进行了详细阐述。