Does price reflect emotional,structural or performance quality?

Three denim jeans products from the same manufacturer with differentiated pricing and labels (antiqued, sandblasted, and stonewashed) were used to determine the relationship between price and quality. Both qualitative and quantitative procedures were used to analyse the garments. All three jeans were made of twill weave with 3 × 1 repeat. Both structural and performance characteristics were compared using standardized tests. Analysis of variance was used to compare the selected structural and performance characteristics among the three jeans products. Tukey’s HSD tests were used for post hoc multiple comparisons for three jeans. The findings revealed that despite the fact that all three jeans products were from the same store, and that the fabrics used the same weave, degree and direction of twist, the jeans differed significantly for several structural and performance characteristics. Several possibilities for future research were explored.     

50D/144F涤纶POY扁平丝生产工艺

在熔体直纺环吹风冷却工艺路线上,使用“—”型喷丝板,设置缓和的冷却条件,适当的无风区高度,纺丝温度及纺丝速度,开发生产50D/144F扁平丝。     

锦纶织物在板擦上的应用

对普通板擦的改进,采用锦纶细旦复丝织物为擦拭面,多层网眼织物,紧密净化织物,有利于进行粉尘的收集,锦纶织物在板擦中的应用,提高了板擦的耐磨性,使板擦的使用寿命增加,更科学,更环保。     

Conditional higher order moments in metal asset returns

This study examines the role of higher order moments in the returns of four important metals, aluminium, copper, gold and silver, using the asymmetric GARCH (AGARCH) model with a conditional skewed generalized-t (SGT) distribution. Implications of higher order moments in metal returns are evaluated by comparing the performances of conditional value-at-risk measures obtained from the AGARCH models with SGT distributions to those obtained from the AGARCH models with normal and student-t distributions. With the exception of gold, the AGARCH model with the SGT distribution appears to have the best fit for all metals examined.     

Using common features to understand the behavior of metal-commodity prices and forecast them at different horizons

The objective of this article is to study (understand and forecast) spot metal price levels and changes at monthly, quarterly, and annual frequencies. Data consists of metal-commodity prices at a monthly and quarterly frequencies from 1957 to 2012, extracted from the IFS, and annual data, provided from 1900 to 2010 by the U.S. Geological Survey (USGS). We also employ the (relatively large) list of co-variates used in Welch and Goyal (2008) and in Hong and Yogo (2009).We investigate short- and long-run comovement by applying the techniques and the tests proposed in the common-feature literature. One of the main contributions of this paper is to understand the short-run dynamics of metal prices. We show theoretically that there must be a positive correlation between metal-price variation and industrial-production variation if metal supply is held fixed in the short run when demand is optimally chosen taking into account optimal production for the industrial sector. This is simply a consequence of the derived-demand model for cost-minimizing firms. Our empirical evidence fully supports this theoretical result, with overwhelming evidence that cycles in metal prices are synchronized with those in industrial production. This evidence is stronger regarding the global economy but holds as well for the U.S. economy to a lesser degree.Regarding out-of-sample forecasts, our main contribution is to show the benefits of forecast-combination techniques, which outperform individual-model forecasts – including the random-walk model. We use a variety of models (linear and non-linear, single equation and multivariate) and a variety of co-variates and functional forms to forecast the returns and prices of metal commodities. Using a large number of models (N large) and a large number of time periods (T large), we apply the techniques put forth by the common-feature literature on forecast combinations. Empirically, we show that models incorporating (short-run) common-cycle restrictions perform better than unrestricted models, with an important role for industrial production as a predictor for metal-price variation.     

2010年欧盟RASFF通报中国食品接触金属制品安全问题分析

根据2010年度欧盟食品和饲料快速预警系统（RASFF）向公众通报进口中国食品及饲料的安全问题的情况,本文针对其中的食品接触金属制品,总结通报国家的分布、产品涉及的风险因素,并分析问题产生的原因,探讨应对的措施,充分发挥风险预警作用,从而减少或避免类似情况发生。     

丝绸之路经济带农业经济协作功能分区规划研究

文章通过对丝绸之路经济带的内涵与空间范围进行了界定,将丝绸之路经济带的定义、特征进行了系统描述,并阐述了丝绸之路经济带的建设意义;对经济带的空间范围从核心区、扩展区及辐射区等3方面进行了定位。文章仅对丝绸之路核心地区进行分区,即中国、俄罗斯、哈萨克斯坦、吉尔吉斯斯坦、塔吉克斯坦、乌兹别克斯坦及土库曼斯坦等7个国家,针对7个国家的农业功能依据地域性、比较优势、可操作性等原则将核心区划分为3个功能区,分别是东北粮食区,包括中国、俄罗斯及哈萨克斯坦等3个国家;西南棉花区,包括塔吉克斯坦、乌兹别克斯坦及土库曼斯坦等3个国家;东部畜牧区,为吉尔吉斯斯坦。同时,在对丝绸之路经济带分区的基础上对经济带上沿线国家的农业经济协作提出了3方面建议,分别是应注重各协作区功能产业的顶层设计,尤其是在农业生产基地的布局上,要将协作区农业与城市、工业的联动发展作为首要因素,实现各协作区的互利共赢;选择与各协作区特色农业资源、优势农业产业相适宜的发展模式,积极调整与优化产业结构;建立健全分工与协作机制,合作共进以实现丝绸之路经济带沿线各国经济一体化的目标。     

河北赤城青羊沟铅锌银矿床矿石组构及其与矿床成因关系

河北赤城青羊沟铅锌银矿床发育热液充填交代、条带、压碎、揉皱、脉状及交错脉状等各种组构。反映了该矿床经历了沉积变质、岩浆热液改造等多成因的特点。     

我国丝绸之路经济带物流设施效率分析--基于DEA 模型的M almqusit指数方法

“道路联通”既是实现丝绸之路经济带“贸易畅通”的基础保障,也是实现“民心相通”、“货币流通”和“政策沟通”并最终实现区域经济一体化和社会文化融合的助推器。采用DEA模型的M almqusit指数分析法对我国丝绸之路经济带物流设施效率进行了分析。分析得出结论：贸易环境负向变化是造成我国丝绸之路经济带交通基础设施效率下降的主要原因;提高经济带物流设施对经济的贡献不应只关注新增交通基础设施,更应关注现有物流设施的运营效率;为提高经济带交通基础设施的整体效率,今后交通基础设施建设的区域结构应倾向于陕西、江苏、山西、安徽等仍存在物流设施规模效率的省份。     

新丝绸之路经济带交通基础设施与城市化——基于高铁和高速公路的研究

交通运输是支撑城市活动最主要的基础设施之一,同时也是制约区域经济发展,影响城市化的重要因素。在新丝绸之路经济带沿线,无论是铁路设施还是公路设施近些年来都实现了新的飞跃,多地的交通运输水平得到了质的提升,本文在研究新丝绸之路经济带沿线交通基础设施空间分布的基础上,计算以高速公路和高速铁路为指标的交通基础设施和城市化的耦合协调度,以期为政府未来政策的制定提供启示和建议。