Big Players in Slovenia

The subjectivism of Austrian economics helps to explain the statistical fact of long memory in asset prices. The theory of Big Players is an Austrian approach to understanding the effects of discretionary policymaking in markets. It leads to implications that can be tested with statistics. In particular, Big Players induce herding and, thereby, an increase of persistence in asset prices. A recent episode in Slovenian monetary theory provides a case study. This case study adds to a set of similar studies, all tending to support the theory of Big Players.     

地质雷达在土层疏松和空洞探测中的应用

本文在简述地质雷达基本原理及工作方法的基础上,阐述了地质雷达的信号识别在土层疏松及空洞探测中的可行性及准确性,并对地质雷达的实测资料进行了处理及分析。结果表明,地质雷达检测技术能有效的探测土层疏松以及空洞异常,从而避免地铁施工过程中地下空洞等地质体对周围环境和施工安全造成的不良影响。     

Strategic Internet application trends in supply chain management

The Internet is evolving as a powerful force in the new marketplace where the nexus of competition has changed from individual firms to efficient supply chain networks both between firms and within industries. This study explores Internet adoption patterns and operational applications in US supply chain networks. The data reveal that the integration of the Internet into supply chain management applications has increased and has moved away from indiscriminate application of novel Internet technologies towards becoming a focused endeavor with precise expectations and measurable goals. Specifically, the study finds that Internet usage within supply chains is maturing as evidenced by enhanced and increased productivity, reduced costs and increased profit for participating firms.     

Data Envelopment Analysis of different climate policy scenarios

Recent developments in the political, scientific and economic debate on climate change suggest that it is of critical importance to develop new approaches able to compare policy scenarios for their environmental effectiveness, their distributive effects, their enforceability, their costs and many other dimensions. This paper discusses a quantitative methodology to assess the relative performance of different climate policy scenarios when accounting for their long-term economic, social and environmental impacts. The proposed procedure is based on Data Envelopment Analysis, here employed in evaluating the relative efficiency of eleven global climate policy scenarios. The methodology provides a promising comparison framework; it can be seen as a way of setting some basic guidelines to frame further debates and negotiations and can be flexibly adopted and modified by decision makers to obtain relevant information for policy design. Three major findings emerge from this analysis: (i) stringent climate policies can outperform less ambitious proposals if all sustainability dimensions are taken into account; (ii) a carefully chosen burden-sharing rule is able to bring together climate stabilisation and equity considerations; and (iii) the most inefficient strategy results from the failure to negotiate a post-2012 global climate agreement.     

基于Panel Data模型的住宅价格影响因素研究——以河北省为例

文章引入Panel Data模型,结合河北省住宅市场相关数据,建立住宅价格影响因素模型,通过实证分析找出了影响河北省住宅价格的主要因素。在此基础之上,结合河北省住宅市场的具体情况,提出了调控河北省住宅价格的措施和建议。     

基于改进的DEA/AHP模型的人工成本投入产出效率评价

通过采用0.1-0.9标度这种更为简便实用的判断尺度,建立了具有完全一致性的互补判断矩阵,妥善解决了AHP判断矩阵的一致性问题,改进了DEA/AHP模型。并基于DEA模型和改进的DEAHP模型分别对盐城市22个行业2009年的人工成本投入产出进行效率评价分析。研究结果显示,基于改进的DEA/AHP模型的评价结果更加具有可区分性,具有更高的解析能力。     

Using data envelopment analysis approach to estimate the health production efficiencies in China

By using Data Envelopment Analysis approach, we treat the health production system in a certain province as a Decision Making Unit (DMU), identify its inputs and outputs, evaluate its technical efficiency in 1982, 1990 and 2000 respectively, and further analyze the relationship between efficiency scores and social-environmental variables. This paper has found several interesting findings. Firstly, provinces on frontier in different year are different, but provinces far from the frontier keep unchanged. The average efficiency of health production has made a significant progress from 1982 to 2000. Secondly, all provinces in China can be divided into six categories in terms of health production outcome and efficiency, and each category has specific approach of improving health production efficiency. Thirdly, significant differences in health production efficiencies have been found among the eastern, middle and western regions in China, and among the eastern and middle regions. At last, there is significant positive relationship between population density and health production efficiency but negative relationship (not very significant) between the proportions of public health expenditure in total expense and efficiency. Maybe it is the result of inappropriate tendency of public expenditure. The relationship between abilities to pay for health care services and efficiency in urban areas is opposite to that in rural areas. One possible reason is the totally different income and public services treatments between rural and urban residents. Therefore, it is necessary to adjust health policies and service provisions which are specifically designed to different population groups. __________ Translated from Jingji Yanjiu 经济研究 (Economic Research Journal), 2006, (7): 92–105     

大数据环境特征对IT外包项目绩效的影响

对知识密集型的IT外包行业来说,大数据环境成为接包企业潜在的知识来源。然而,大数据环境是否真的促进IT接包项目绩效？如何从中获益？现有文献对这些问题缺乏研究。基于资源编排理论,探讨了大数据易得性和冗杂性对IT接包项目绩效的直接影响,检验了功能组合和专项突破两种软件开发策略的调节作用,提出6条假设,采用195个IT外包项目数据进行检验。研究发现,大数据易得性显著提高接包项目绩效,而大数据冗杂性显著降低项目绩效;功能组合策略增强而专项突破策略削弱了大数据易得性对项目绩效的促进作用;两种开发策略对大数据冗杂性与项目绩效关系的调节作用不显著。     

一种新型高速数字锁相环的研究

本文针对传统方法实现的数字锁相环(DPLL)工作速率低的问题,通过对一种典型的DPLL的分析,找出影响其工作速率的主要因素,研究并提出了一种全新的高速实现方法,并在实验室进行了数据传输位同步提取实验。     

健康物联网技术应用伦理难题研究

健康物联网（H-IoT）技术进步带来医疗健康等领域的革命性变化,并为医疗、保健、护理和科学研究带来新机遇。由于互联网设备的固有风险、健康数据的敏感性以及医疗保健服务形式的转变,H-IoT技术应用将带来一系列伦理难题,具体包括：加剧个人信息泄露风险、H-IoT数据所有权与有效性的冲突、数据主体自主权与数据共享的冲突,以及由H-IoT介导护理产生的用户社会孤立化、医疗去情景化以及护理非专业化等。以国际代表性研究成果的理论框架为参考,从设备、数据协议、实践等层面分析未来需重点解决的H-IoT技术进步与应用伦理难题。