The benefits of expediting government gold sales

Additional gold can be made available either by mining at high cost (approximately $250 per ounce in 1997 dollars) or by mobilizing government stocks at zero cost. Governments own massive above-ground stocks but loan out only a small percentage of these stocks. Making all government gold available for private uses immediately through some combination of sales and loans maximizes total welfare from private uses, a consequence of the first welfare theorem. We simulate a calibrated version of our model to quantify the effects of liquidating government stocks on alternative dates. If governments sell immediately rather than never, total welfare increases by $340 billion; if they make an unanticipated sale in 20 years, $105 billion of that amount is lost. By depressing prices, such sales benefit depletion and service users but injure private owners of stocks above and below-ground. However, the injury to above-ground stock owners is more than offset by the benefits to service users—often the same individuals. Mine owners would be the principal losers; however, they could be compensated (twice over) from government sales revenue without any need for tax increases.     

数据挖掘技术在推广教育规划中的应用研究

采用数据挖掘技术来分析武汉某所职业技术学院的入学者在推广教育课程中的选课偏好和课程完成率之间的关系。将2003年至2008年的入学者在推广教育课程中的选课记录用三种数据挖掘算法进行分析。研究结果作为在推广教育规划中课程设置的一个参考。     

Innovations in meta-analysis and social impact analysis relevant for tech mining

In the social sciences, non-utilization of knowledge is a major problem. Many publications stored in libraries or available on the Internet should be used more than they are now. Conventional approaches like providing abstracts and lists of keywords have proven to be insufficient. For more than thirty years already, meta-analysis is available for the accumulation and dissemination of scientific knowledge. In the social sciences, meta-analysis has been used on a limited scale only, mainly because there still remains a gap between the knowledge available and its application in policymaking. Recently, value transfer has been introduced as an additional method to bridge the gap between available knowledge and the demands for knowledge in new problem areas. Not only in the social sciences but also in the information sciences non-utilization of information is a major problem. It is the mission of tech mining to contribute to a mitigation of this non-utilization. In this article, we will show how tech mining could profit from innovations in meta-analysis and social impact assessment. Special attention will be paid to research on technology generations, research on social change in cohesive social systems showing solidarity at work, and tech mining in support of the Lisbon Strategy of the European Commission.     

煤矿绿色开采技术初探

煤矿绿色开采技术是一门新的科学,是贯彻落实科学发展观、实现企业又好又快发展的根本途径,文章分析了煤矿绿色开采技术的内涵,对矿井绿色开采方案进行了研究,提出了相应对策。     

民营矿业发展研究综述

改革开放以来重新出现的民营矿业发展迅速,占据了矿业的半壁江山,并受到学者们的关注。从民营矿业的界定,民营矿业的发展历程、发展现状、投资、融资、法律法规、历史地位等方面对理论界的研究成果进行了梳理,并指出了民营矿业未来研究的方向。     

Idea mining for web-based weak signal detection

We investigate the impact of idea mining filtering on web-based weak signal detection to improve strategic decision making. Existing approaches for identifying weak signals in strategic decision making use environmental scanning procedures based on standard filtering algorithms. These algorithms discard patterns with low information content; however, they are not able to discard patterns with low relevance to a given strategic problem. Idea mining is proposed as an algorithm that identifies relevant textual patterns from documents or websites to solve a given (strategic) problem. Thus, it enables to estimate patterns’ relevance to the given strategic problem. The provided new methodology that combines weak signal analysis and idea mining is in contrast to existing methodologies. In a case study, a web-based scanning procedure is implemented to identify textual internet data in the field of self-sufficient energy supply. Idea mining is applied for filtering and weak signals are identified based on the proposed approach. The proposed approach is compared to a further – already evaluated – approach processed without using idea mining. The results show that idea mining filtering improves quality of weak signal analysis. This supports decision makers by providing early and suggestive signals of potentially emerging trends, even with only little expressive strength.     

煤炭矿区工业共生模式研究

在分析工业共生是矿区发展循环经济有效途径的基础上,系统地识别和划分了主导型工业共生、平等型工业共生、依附型工业共生和混合型工业共生4种矿区工业共生主要链网模式,总结了各自结构特点,并对煤炭矿区进行了实证研究。同时,进一步指出,随着工业共生模式的不断发展,煤炭矿区工业共生模式可以是上述几种模式并存的混合型形式。     

赣南稀土开采与环境保护

赣南稀土开采中存在私挖滥采和环境污染的问题,在对这两个问题进行了详细分析后,认为私挖滥采现象是由于政府失灵造成的,主要原因是公共政策失误和政府寻租行为;而环境污染则是由于市场失灵造成的,主要是稀土开采中存在负外部性。文章认为,单纯的市场和政府都不能解决好赣南稀土开采中存在的问题,多中心治理才是解决这个问题的出路。     

Is the price of gold to gold mining stocks asymmetric?

If an asymmetric relation exists between the prices of gold and gold mining stocks, then these firms possess real option characteristics, and therefore, a premium should be added to their valuation. This article examines this proposition, by firstly, using quantile regressions, which are ideally suited to examine asymmetries, and secondly, by accounting for endogenously determined structural breaks in the data. Our findings provide no support for an asymmetric relation. Furthermore, we also show that out-of-sample forecasting shows there is no causality from the gold price to the prices of those gold mining shares used in the sample.     

Text mining approach to explore determinants of grocery mobile app satisfaction using online customer reviews

In recent years, there has been proliferation of grocery mobile apps as grocery shopping on mobile has found increasing acceptance among customers accelerated by multiple factors. Maintaining high level of customer satisfaction is important for grocery mobile apps in the highly competitive app market. Online reviews have been a rich source of information to analyze customer satisfaction with a product or service. This paper explores the determinants of customer satisfaction for grocery mobile apps using online reviews. Latent Dirichlet Analysis (LDA), which is a text mining technique, is used to analyze online customer reviews of 27,337 customers to identify determinants of customer satisfaction. The determinants identified were further analyzed using a series of analysis to understand the importance of each determinant. Dominance analysis examined the relative importance of the determinants of customer satisfaction based on the overall rating. Correspondence analysis identified determinants which cause satisfaction separately from the determinants which cause dissatisfaction. The results from this study will provide insights to business managers of grocery mobile apps for decision-making on customer satisfaction management.