宁波高等职业技术教育发展研究

本文通过回顾宁波高等职业教育漫长而曲折的发展历史,分析了宁波高等职业教育实现新的腾飞的原因及其特点,对高等职业教育的发展、探索和研究具有一定的借鉴作用.     

德国职业技术教育的特点及其发展趋势

德国发展职业技术教育对其社会经济发展起了积极促进作用。通过对德国职业技术教育发展状况、特点极其发展趋势的分析,学习与借鉴其成功经验,对于我国职业技术教育将提供有益启示。     

我国当前的宏观经济形势与特点

当前，我国经济继续保持强劲的增长势头，同时走向相对均衡协调，但经济效率低下的弊病依然存在，各种结构矛盾仍然突出。为此，我们应采取以下主要对策：进一步完善宏观调控体系；努力改变城乡二元结构；通过加快相应的法律法规建设来完善我国的投融资体制；继续深化金融体制改革，提高金融体制运行效率等。     

论邓小平新型党际关系思想的时代特征

邓小平新型党际关系思想是中国共产党在总结以往处理国家间政党关系的历史经验的基础上,抓住当 前时代发展的主题而提出的。坚持党际关系四原则,保障政治安全与推进经济发展并重,以搞好国内建设为基础履 行国际责任,是邓小平新型党际关系思想三个鲜明的时代特征。     

另类交易系统的法律界定

作为一种新型证券交易场所，另类交易系统是一种以互联网为基础的，依据一定规则自动聚集并撮合投资者委托买卖证券指令的电子交易系统。它属于场外交易场所的范畴，与传统交易所相比，其交易对象更广，交易流程更为便捷，交易规则特殊，同投资者之间的法律关系也不同。它的出现，不仅对传统交易所和中介机构的地位产生了强烈冲击，而且对传统的证券监管体制和证券诉讼也产生了深刻影响。本文在国外对另类交易系统概念界定的基础上，论述了其基本概念和特征，以期为将来我国另类交易系统的立法和监管提供理论参考。     

A Content Analysis of Bonus Pack Promotions

Bonus packs created by manufacturers have been characterized by scholars as special factory packs offering the consumer extra product for the same price or at no additional cost. However, this portrayal may fail to fully capture what consumers actually encounter in stores during and following a bonus pack promotion. Indeed, little is known about the types of products that manufacturers promote as bonus packs and how offers for them are specified, how retailers price them, and also what happens when the offers are discontinued. To address these shortcomings, a content analysis is conducted. The results illustrate a richness to bonus pack promotions that previous views of the topic have not described.     

Applying LSA text mining technique in envisioning social impacts of emerging technologies: The case of drone technology

This research proposes a novel method of identifying and understanding the holistic overview of emerging technologies’ unintended consequences. Latent Semantic Analysis (LSA) text mining technique is employed to yield multiple groups of contextually similar terms from future-oriented data sources, comprising both experts’ and the public's concerns regarding future technologies. Resulting term clusters are considered as new abstractions, or so-called scenarios, of future social impacts. Furthermore, the study acquires greater depth and breadth in conceptualizing social impacts through considering condition- and value-related terms as key linking factors to previous social impact-related literature. Our proposed methodology seeks to gain insights into the utilization of future-oriented data sources for the foresight activity, hoping to mitigate public skepticism and pursue a better social acceptance of emerging technologies.     

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.     

Identifying micro-destinations and providing statistical information: a pilot study in the Canary Islands

Municipalities and regions are often used as an object of tourism analysis at the subnational level. This occurs because administrative borders are used to implement tourism policies and collect statistical information. However, administrative boundaries may not always be suitable for studying tourism destinations at a local level. Sometimes, particularly in high-density tourism destinations, several differentiated tourism areas occupy a single municipality; tourism areas may, and often do, extend beyond municipal boundaries and tourism destinations may not occupy the whole of the municipal area. As such, a new level of analysis is often required: the micro-destination. There are few tourism concepts as imprecise as that of the destination. Therefore, the process of identifying and establishing the boundaries of a micro-destination is by no means a straightforward one. This paper presents six criteria for establishing the boundaries of this type of tourism area. Of these six, the two primary criteria used are: the concentration of tourism establishments; and tourism typologies and supply characteristics. These criteria have been applied as part of a pilot study in the Canary Islands. Statistical information for nine micro-destinations is generated using the geolocation of tourism establishments together with information obtained from both supply-side and demand-side surveys.     

浅析公路经营企业与现代企业制度

近年来,公路经营企业发展对于我国收费公路快速发展起了非常重要的作用。本文对公路经营企业特点及面临困境进行了简要分析,并结合现代企业制度,给出了现代企业制度求解,这对于公路经营企业的进一步发展具有重要意义。